At Genmab, we are dedicated to building extra not ordinary futures, together, by developing antibody products and groundbreaking, knock-your-socks-off KYSO antibody medicines that change lives and the future of cancer treatment and serious diseases. We strive to create, champion and maintain a global workplace where individuals' unique contributions are valued and drive innovative solutions to meet the needs of our patients, care partners, families and employees. Our people are compassionate, candid, and purposeful, and our business is innovative and rooted in science. We believe that being proudly authentic and determined to be our best is essential to fulfilling our purpose. Yes, our work is incredibly serious and impactful, but we have big ambitions, bring a ton of care to pursuing them, and have a lot of fun while doing so. Does this inspire you and feel like a fit? Then we would love to have you join us! We are looking for a Senior Data Product Engineer with deep expertise in DBT, Databricks, Snowflake, Power BI/Tableau, Airflow and AWS, who can architect and implement scalable, reliable, and high-performance data products. This role will require strong technical skills across data modeling, distributed data processing, ELT pipeline development, and dashboarding, with an emphasis on automation, observability, and engineering best practices supporting our US and Global commercial data warehouse. You will be expected to design and deliver production-grade data pipelines and models, optimize query, and compute performance, and expose data to end users through well-structured semantic layers and dashboards. The ideal candidate is conceptually strong in modern data architectures and principles, capable of adapting across tools rather than being limited by them and operate as a hands-on technical lead, defining frameworks, making architectural decisions, and guiding implementation patterns across dbt, Snowflake, Databricks and BI platforms. The ideal candidate works successfully across Commercial functions to define, document, test and implement data products delivering functional requirements and impactful data products. The ideal candidate should have familiarity with commercial data sets like IQVIA One Key, Veeva Open Data, Life Science Cloud, Veeva CRM, 3PL data, Claims Data, Digital, Omnichannel and Precision lab data. Work arrangement: This role offers flexibility to work away from the office for 20%-40% of a typical schedule. Employees may use this work schedule in increments of single days or multiple consecutive days, provided it does not exceed 40% within a 60-day period, and is approved by the hiring manager. Core Responsibilities Data Engineering & Architecture Architect and implement end-to-end ELT workflows with DBT (core and Cloud), ensuring modular, testable, and reusable transformations. Build high-performance data pipelines in Snowflake and Databricks (PySpark, Delta Lake, Unity Catalog) for batch and streaming workloads. Orchestration using Apache Airflow and Amazon tools. Engineer scalable data ingestion pipelines into AWS (S3, Kinesis, Glue, Lambda, Step Functions, Airflow) with strong monitoring and fault tolerance. Ensure observability, cost efficiency & scalability in all pipeline and compute designs. Data Modeling, Governance, Security and Compliance Design normalized and star-schema models for analytical workloads, following dbt's best practices and software engineering principles. Implement data quality testing frameworks (dbt tests, Great Expectations, or custom validations) with automated CI/CD integration. Manage data versioning, lineage, and governance through tools such as Unity Catalog and AWS Lake Formation. Ensure data lineage, cataloging, and metadata management are maintained. Apply GDPR, LGPD, and other Data Privacy / Compliance rules and compliance standards. Support audits, documentation, and validation activities. Analytics Enablement & Dashboards Develop semantic data layers that support self-service analytics across BI tools (Tableau, Power BI etc.). Partner with analysts and data scientists to optimize queries and deliver production-ready datasets. Manage ingestion and harmonization of commercial datasets such as: o HCP/HCO master data (IQVIA and Veeva) o Sales and distribution data (852,867, 3PL and Country specific market or sales data) o Omnichannel engagement (email, rep-triggered, web, events) o CRM activity data (Veeva, Life Science Cloud) o Market research and syndicated data (IQVIA, etc.) o Support data pipelines used for incentive compensation, field force effectiveness, and brand performance analytics. Platform Engineering & Automation Automate deployment pipelines with CI/CD (GitHub Actions, GitLab CI, or AWS CodePipeline) for dbt and Databricks. Implement infrastructure-as-code (IaaC) for reproducibility (Terraform, CloudFormation). Ensure system reliability through observability and monitoring (Datadog, CloudWatch, Prometheus, or similar). Benchmark and optimize SQL, Python, Spark, and BI query performance at scale. Collaboration & Stakeholder Support Partner with Data Scientists, Commercial Analysts, and Business Partners to translate business needs into technical solutions. Work closely with IT, Compliance, and Data Privacy teams to ensure complaint data handling. Provide technical guidance on data availability, feasibility, and best practices. Required Qualifications 5+ years in data engineering, analytics engineering, or data platform development. Expert-level proficiency in: o DBT: advanced macros, Jinja, testing, exposures, dbt Cloud deployment. o Databricks: Spark (PySpark, SQL), Delta Lake, Unity Catalog. o Snowflake o AWS: S3, Glue, Lambda, Step Functions, Datasync, EMR, Redshift, IAM and networking/security fundamentals. o Data Visualization: Power BI or Tableau. Strong programming background in Python and SQL (including query optimization). Proven experience with distributed systems and large-scale datasets (GB-TB scale). Experience implementing CI/CD pipelines, data testing, and infrastructure as code. Solid understanding of data governance, security, and compliance in enterprise environments. Why This Role? Working as a Data Engineer in an oncology company means your work directly supports the people who need it most-patients facing one of the most difficult diagnoses of their lives. Every pipeline you build, every dataset you harmonize, and every insight you enable helps accelerate how quickly life changing therapies reach the right patients at the right time. You get to solve challenging engineering problems while contributing to something bigger than technology. You're not just optimizing pipelines-you're helping ensure that a patient gets diagnosed earlier, a doctor receives better information, or a family gains access to a therapy that gives them more time together. You will work at the intersection of modern data engineering and analytics product development, solving challenges of scale, performance, and usability. This role is ideal for someone who thrives in a hands-on engineering environment and wants to build the technical foundation for data-driven decision-making across the organization. For US based candidates, the proposed salary band for this position is as follows: $132,720.00 $199,080.00 The actual salary offer will carefully consider a wide range of factors, including your skills, qualifications, experience, and location. Also, certain positions are eligible for additional forms of compensation, such as discretionary bonuses and long-term incentives. When you join Genmab, you're joining a culture that supports your physical, financial, social, and emotional wellness. Within the first year, regular full-time U.S. employees are eligible for: 401(k) Plan: 100% match on the first 6% of contributions Health Benefits: Two medical plan options (including HDHP with HSA), dental, and vision insurance Voluntary Plans: Critical illness, accident, and hospital indemnity insurance Time Off: Paid vacation, sick leave, holidays, and 12 weeks of discretionary paid parental leave Support Resources: Access to child and adult backup care, family support programs, financial wellness tools, and emotional well-being support Additional Perks: Commuter benefits, tuition reimbursement, and a Lifestyle Spending Account for wellness and personal expenses Further details on eligibility for compensation and benefits based on role will be provided during the recruitment process About Genmab Genmab is an international biotechnology company with a core purpose to improve the lives of patients through innovative and differentiated antibody therapeutics. For 25 years, its hard-working, innovative and collaborative team has invented next-generation antibody technology platforms and harnessed translational, quantitative and data sciences, resulting in a proprietary pipeline including bispecific T-cell engagers, antibody-drug conjugates, next-generation immune checkpoint modulators and effector function-enhanced antibodies. By 2030, Genmab's vision is to transform the lives of people with cancer and other serious diseases with Knock-Your-Socks-Off (KYSO ) antibody medicines. Established in 1999 . click apply for full job details
09/24/2026
Full time
At Genmab, we are dedicated to building extra not ordinary futures, together, by developing antibody products and groundbreaking, knock-your-socks-off KYSO antibody medicines that change lives and the future of cancer treatment and serious diseases. We strive to create, champion and maintain a global workplace where individuals' unique contributions are valued and drive innovative solutions to meet the needs of our patients, care partners, families and employees. Our people are compassionate, candid, and purposeful, and our business is innovative and rooted in science. We believe that being proudly authentic and determined to be our best is essential to fulfilling our purpose. Yes, our work is incredibly serious and impactful, but we have big ambitions, bring a ton of care to pursuing them, and have a lot of fun while doing so. Does this inspire you and feel like a fit? Then we would love to have you join us! We are looking for a Senior Data Product Engineer with deep expertise in DBT, Databricks, Snowflake, Power BI/Tableau, Airflow and AWS, who can architect and implement scalable, reliable, and high-performance data products. This role will require strong technical skills across data modeling, distributed data processing, ELT pipeline development, and dashboarding, with an emphasis on automation, observability, and engineering best practices supporting our US and Global commercial data warehouse. You will be expected to design and deliver production-grade data pipelines and models, optimize query, and compute performance, and expose data to end users through well-structured semantic layers and dashboards. The ideal candidate is conceptually strong in modern data architectures and principles, capable of adapting across tools rather than being limited by them and operate as a hands-on technical lead, defining frameworks, making architectural decisions, and guiding implementation patterns across dbt, Snowflake, Databricks and BI platforms. The ideal candidate works successfully across Commercial functions to define, document, test and implement data products delivering functional requirements and impactful data products. The ideal candidate should have familiarity with commercial data sets like IQVIA One Key, Veeva Open Data, Life Science Cloud, Veeva CRM, 3PL data, Claims Data, Digital, Omnichannel and Precision lab data. Work arrangement: This role offers flexibility to work away from the office for 20%-40% of a typical schedule. Employees may use this work schedule in increments of single days or multiple consecutive days, provided it does not exceed 40% within a 60-day period, and is approved by the hiring manager. Core Responsibilities Data Engineering & Architecture Architect and implement end-to-end ELT workflows with DBT (core and Cloud), ensuring modular, testable, and reusable transformations. Build high-performance data pipelines in Snowflake and Databricks (PySpark, Delta Lake, Unity Catalog) for batch and streaming workloads. Orchestration using Apache Airflow and Amazon tools. Engineer scalable data ingestion pipelines into AWS (S3, Kinesis, Glue, Lambda, Step Functions, Airflow) with strong monitoring and fault tolerance. Ensure observability, cost efficiency & scalability in all pipeline and compute designs. Data Modeling, Governance, Security and Compliance Design normalized and star-schema models for analytical workloads, following dbt's best practices and software engineering principles. Implement data quality testing frameworks (dbt tests, Great Expectations, or custom validations) with automated CI/CD integration. Manage data versioning, lineage, and governance through tools such as Unity Catalog and AWS Lake Formation. Ensure data lineage, cataloging, and metadata management are maintained. Apply GDPR, LGPD, and other Data Privacy / Compliance rules and compliance standards. Support audits, documentation, and validation activities. Analytics Enablement & Dashboards Develop semantic data layers that support self-service analytics across BI tools (Tableau, Power BI etc.). Partner with analysts and data scientists to optimize queries and deliver production-ready datasets. Manage ingestion and harmonization of commercial datasets such as: o HCP/HCO master data (IQVIA and Veeva) o Sales and distribution data (852,867, 3PL and Country specific market or sales data) o Omnichannel engagement (email, rep-triggered, web, events) o CRM activity data (Veeva, Life Science Cloud) o Market research and syndicated data (IQVIA, etc.) o Support data pipelines used for incentive compensation, field force effectiveness, and brand performance analytics. Platform Engineering & Automation Automate deployment pipelines with CI/CD (GitHub Actions, GitLab CI, or AWS CodePipeline) for dbt and Databricks. Implement infrastructure-as-code (IaaC) for reproducibility (Terraform, CloudFormation). Ensure system reliability through observability and monitoring (Datadog, CloudWatch, Prometheus, or similar). Benchmark and optimize SQL, Python, Spark, and BI query performance at scale. Collaboration & Stakeholder Support Partner with Data Scientists, Commercial Analysts, and Business Partners to translate business needs into technical solutions. Work closely with IT, Compliance, and Data Privacy teams to ensure complaint data handling. Provide technical guidance on data availability, feasibility, and best practices. Required Qualifications 5+ years in data engineering, analytics engineering, or data platform development. Expert-level proficiency in: o DBT: advanced macros, Jinja, testing, exposures, dbt Cloud deployment. o Databricks: Spark (PySpark, SQL), Delta Lake, Unity Catalog. o Snowflake o AWS: S3, Glue, Lambda, Step Functions, Datasync, EMR, Redshift, IAM and networking/security fundamentals. o Data Visualization: Power BI or Tableau. Strong programming background in Python and SQL (including query optimization). Proven experience with distributed systems and large-scale datasets (GB-TB scale). Experience implementing CI/CD pipelines, data testing, and infrastructure as code. Solid understanding of data governance, security, and compliance in enterprise environments. Why This Role? Working as a Data Engineer in an oncology company means your work directly supports the people who need it most-patients facing one of the most difficult diagnoses of their lives. Every pipeline you build, every dataset you harmonize, and every insight you enable helps accelerate how quickly life changing therapies reach the right patients at the right time. You get to solve challenging engineering problems while contributing to something bigger than technology. You're not just optimizing pipelines-you're helping ensure that a patient gets diagnosed earlier, a doctor receives better information, or a family gains access to a therapy that gives them more time together. You will work at the intersection of modern data engineering and analytics product development, solving challenges of scale, performance, and usability. This role is ideal for someone who thrives in a hands-on engineering environment and wants to build the technical foundation for data-driven decision-making across the organization. For US based candidates, the proposed salary band for this position is as follows: $132,720.00 $199,080.00 The actual salary offer will carefully consider a wide range of factors, including your skills, qualifications, experience, and location. Also, certain positions are eligible for additional forms of compensation, such as discretionary bonuses and long-term incentives. When you join Genmab, you're joining a culture that supports your physical, financial, social, and emotional wellness. Within the first year, regular full-time U.S. employees are eligible for: 401(k) Plan: 100% match on the first 6% of contributions Health Benefits: Two medical plan options (including HDHP with HSA), dental, and vision insurance Voluntary Plans: Critical illness, accident, and hospital indemnity insurance Time Off: Paid vacation, sick leave, holidays, and 12 weeks of discretionary paid parental leave Support Resources: Access to child and adult backup care, family support programs, financial wellness tools, and emotional well-being support Additional Perks: Commuter benefits, tuition reimbursement, and a Lifestyle Spending Account for wellness and personal expenses Further details on eligibility for compensation and benefits based on role will be provided during the recruitment process About Genmab Genmab is an international biotechnology company with a core purpose to improve the lives of patients through innovative and differentiated antibody therapeutics. For 25 years, its hard-working, innovative and collaborative team has invented next-generation antibody technology platforms and harnessed translational, quantitative and data sciences, resulting in a proprietary pipeline including bispecific T-cell engagers, antibody-drug conjugates, next-generation immune checkpoint modulators and effector function-enhanced antibodies. By 2030, Genmab's vision is to transform the lives of people with cancer and other serious diseases with Knock-Your-Socks-Off (KYSO ) antibody medicines. Established in 1999 . click apply for full job details
About the Role & Team: "We Power the Magic!" That's our motto at Disney Experiences (DX). Our team creates world-class immersive digital experiences for the Company's premier vacation brands including Disney Cruise Line, Aulani, Disney Vacation Club, and Disney Parks & Resorts worldwide. We are responsible for the end-to-end digital and physical Guest experience for technology and digital-led initiatives that power the planning, booking, fulfillment, operations, and Guest experience across Disney Signature Experiences. The successful candidate must possess strategic leadership skills and technical knowledge that is both broad and deep across software engineering, systems design, architecture, cloud platforms, and modern technology ecosystems. This leader will be responsible for establishing technical direction, guiding solution design, enabling engineering excellence, and ensuring the delivery of scalable, resilient, and highly integrated technology solutions that align with business priorities and enterprise standards. The role requires strong partnership across Product, Engineering, Data, Program, and Business organizations and the ability to influence outcomes in a highly matrixed environment. You will report to the Director of Software Engineering. This is a full-time Position. What You Will Do: Provide technical leadership across architecture, design, integration, quality, automation, and operations, ensuring sustainable, scalable, secure, and resilient engineering solutions across Disney Cruise Line and Disney Signature Experiences platforms. Develop and maintain strategic technology roadmaps that ensure technical currency, reduce legacy risk, support platform modernization efforts, and advance business goals. Establish and drive architectural direction, engineering standards, governance processes, and solution design practices that align technology investments with business strategy and enterprise objectives. Lead and mentor multiple cross-functional engineering teams and technical leaders across diverse locations and engagement models, fostering technical excellence, innovation, and organizational growth. Provide leadership and engage regularly with stakeholders for resource planning, technical analysis, architecture reviews, solution design decisions, and quality oversight across engineering portfolios. Champion continuous improvement in engineering practices, delivery efficiency, operational excellence, and organizational agility through adoption of modern software development and platform engineering capabilities. Champion best practices and strategic thinking in the design and delivery of systems and platforms, ensuring solutions are scalable, secure, resilient, maintainable, and aligned with a Guest and Crew experience culture. Drive domain and technology strategy across web, mobile, cloud, AI, integrations, and enterprise platforms, shaping technical recommendations, architecture patterns, prioritization frameworks, and technology investment decisions. Serve as a senior technical leader for complex architecture and technology decisions, balancing business needs, engineering constraints, scalability requirements, security standards, and delivery objectives. Partner closely with Product, Engineering, Data, Program Management, and Business leaders to ensure technology solutions are architecturally sound, practical to implement, and aligned with long-term strategic goals. Lead architecture reviews, technology assessments, proof-of-concept initiatives, and modernization efforts to continuously improve platform capabilities, engineering effectiveness, and operational performance. Build and maintain strong partnerships with vendors and third-party technology providers, ensuring solutions meet Disney standards for quality, security, performance, reliability, and integration. Continuously assess emerging technologies and evolving industry trends to influence strategic direction, improve engineering capabilities, and identify opportunities for business growth and innovation. Oversee financial planning and portfolio budgeting processes, ensuring fiscal accuracy, strategic alignment, and reliable forecasting across product and technology investments. Required Qualifications and Skills: Minimum 10 years of progressive technology experience in software engineering, systems design, architecture, platform engineering, or related technical leadership disciplines. Demonstrated leadership of large-scale, complex technology initiatives and multidisciplinary engineering organizations. 2+ Years of Experience of People Management, leading software engineers, architects, technical leads, vendors, and cross-functional technology partners. Strong technical expertise across modern cloud platforms, distributed systems, integration patterns, enterprise applications, web and mobile technologies, and modern software development frameworks. Proven ability to establish and implement architectural standards that enable scalable, secure, resilient, and maintainable solutions. Experience delivering products and platforms utilizing Agile, DevOps, and modern software engineering practices. Strong executive communication, stakeholder management, strategic planning, and organizational leadership capabilities. Proven ability to lead in highly matrixed environments, influence without authority, and align technology strategy with business objectives. Preferred Qualifications and Skills: Experience supporting travel, hospitality, cruise, commerce, reservation, fulfillment, or Guest experience platforms. Experience leading large-scale digital transformation and platform modernization efforts. Expertise in cloud-native architectures and platforms including AWS, Azure, or Google Cloud. Experience with enterprise architecture governance, technology strategy, and technical operating models. Familiarity with SAFe, Agile delivery models, DevSecOps practices, and architecture frameworks such as TOGAF. Education: Bachelor's or foreign equivalent Degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience Required. Additional Information: Benefits and Perks: Disney offers a rewards package to help you live your best life. This includes health and savings benefits, educational opportunities and special extras that only Disney can provide. Learn more about our benefits and perks at . The hiring range for this position in Orlando, FL is $179,500.00-$240,600.00 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
09/24/2026
Full time
About the Role & Team: "We Power the Magic!" That's our motto at Disney Experiences (DX). Our team creates world-class immersive digital experiences for the Company's premier vacation brands including Disney Cruise Line, Aulani, Disney Vacation Club, and Disney Parks & Resorts worldwide. We are responsible for the end-to-end digital and physical Guest experience for technology and digital-led initiatives that power the planning, booking, fulfillment, operations, and Guest experience across Disney Signature Experiences. The successful candidate must possess strategic leadership skills and technical knowledge that is both broad and deep across software engineering, systems design, architecture, cloud platforms, and modern technology ecosystems. This leader will be responsible for establishing technical direction, guiding solution design, enabling engineering excellence, and ensuring the delivery of scalable, resilient, and highly integrated technology solutions that align with business priorities and enterprise standards. The role requires strong partnership across Product, Engineering, Data, Program, and Business organizations and the ability to influence outcomes in a highly matrixed environment. You will report to the Director of Software Engineering. This is a full-time Position. What You Will Do: Provide technical leadership across architecture, design, integration, quality, automation, and operations, ensuring sustainable, scalable, secure, and resilient engineering solutions across Disney Cruise Line and Disney Signature Experiences platforms. Develop and maintain strategic technology roadmaps that ensure technical currency, reduce legacy risk, support platform modernization efforts, and advance business goals. Establish and drive architectural direction, engineering standards, governance processes, and solution design practices that align technology investments with business strategy and enterprise objectives. Lead and mentor multiple cross-functional engineering teams and technical leaders across diverse locations and engagement models, fostering technical excellence, innovation, and organizational growth. Provide leadership and engage regularly with stakeholders for resource planning, technical analysis, architecture reviews, solution design decisions, and quality oversight across engineering portfolios. Champion continuous improvement in engineering practices, delivery efficiency, operational excellence, and organizational agility through adoption of modern software development and platform engineering capabilities. Champion best practices and strategic thinking in the design and delivery of systems and platforms, ensuring solutions are scalable, secure, resilient, maintainable, and aligned with a Guest and Crew experience culture. Drive domain and technology strategy across web, mobile, cloud, AI, integrations, and enterprise platforms, shaping technical recommendations, architecture patterns, prioritization frameworks, and technology investment decisions. Serve as a senior technical leader for complex architecture and technology decisions, balancing business needs, engineering constraints, scalability requirements, security standards, and delivery objectives. Partner closely with Product, Engineering, Data, Program Management, and Business leaders to ensure technology solutions are architecturally sound, practical to implement, and aligned with long-term strategic goals. Lead architecture reviews, technology assessments, proof-of-concept initiatives, and modernization efforts to continuously improve platform capabilities, engineering effectiveness, and operational performance. Build and maintain strong partnerships with vendors and third-party technology providers, ensuring solutions meet Disney standards for quality, security, performance, reliability, and integration. Continuously assess emerging technologies and evolving industry trends to influence strategic direction, improve engineering capabilities, and identify opportunities for business growth and innovation. Oversee financial planning and portfolio budgeting processes, ensuring fiscal accuracy, strategic alignment, and reliable forecasting across product and technology investments. Required Qualifications and Skills: Minimum 10 years of progressive technology experience in software engineering, systems design, architecture, platform engineering, or related technical leadership disciplines. Demonstrated leadership of large-scale, complex technology initiatives and multidisciplinary engineering organizations. 2+ Years of Experience of People Management, leading software engineers, architects, technical leads, vendors, and cross-functional technology partners. Strong technical expertise across modern cloud platforms, distributed systems, integration patterns, enterprise applications, web and mobile technologies, and modern software development frameworks. Proven ability to establish and implement architectural standards that enable scalable, secure, resilient, and maintainable solutions. Experience delivering products and platforms utilizing Agile, DevOps, and modern software engineering practices. Strong executive communication, stakeholder management, strategic planning, and organizational leadership capabilities. Proven ability to lead in highly matrixed environments, influence without authority, and align technology strategy with business objectives. Preferred Qualifications and Skills: Experience supporting travel, hospitality, cruise, commerce, reservation, fulfillment, or Guest experience platforms. Experience leading large-scale digital transformation and platform modernization efforts. Expertise in cloud-native architectures and platforms including AWS, Azure, or Google Cloud. Experience with enterprise architecture governance, technology strategy, and technical operating models. Familiarity with SAFe, Agile delivery models, DevSecOps practices, and architecture frameworks such as TOGAF. Education: Bachelor's or foreign equivalent Degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience Required. Additional Information: Benefits and Perks: Disney offers a rewards package to help you live your best life. This includes health and savings benefits, educational opportunities and special extras that only Disney can provide. Learn more about our benefits and perks at . The hiring range for this position in Orlando, FL is $179,500.00-$240,600.00 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
About the Role & Team: "We Power the Magic!" That's our motto at Disney Experiences (DX). Our team creates world-class immersive digital experiences for the Company's premier vacation brands including Disney Cruise Line, Aulani, Disney Vacation Club, and Disney Parks & Resorts worldwide. We are responsible for the end-to-end digital and physical Guest experience for technology and digital-led initiatives that power the planning, booking, fulfillment, operations, and Guest experience across Disney Signature Experiences. The successful candidate must possess strategic leadership skills and technical knowledge that is both broad and deep across software engineering, systems design, architecture, cloud platforms, and modern technology ecosystems. This leader will be responsible for establishing technical direction, guiding solution design, enabling engineering excellence, and ensuring the delivery of scalable, resilient, and highly integrated technology solutions that align with business priorities and enterprise standards. The role requires strong partnership across Product, Engineering, Data, Program, and Business organizations and the ability to influence outcomes in a highly matrixed environment. You will report to the Director of Software Engineering. This is a full-time Position. What You Will Do: Provide technical leadership across architecture, design, integration, quality, automation, and operations, ensuring sustainable, scalable, secure, and resilient engineering solutions across Disney Cruise Line and Disney Signature Experiences platforms. Develop and maintain strategic technology roadmaps that ensure technical currency, reduce legacy risk, support platform modernization efforts, and advance business goals. Establish and drive architectural direction, engineering standards, governance processes, and solution design practices that align technology investments with business strategy and enterprise objectives. Lead and mentor multiple cross-functional engineering teams and technical leaders across diverse locations and engagement models, fostering technical excellence, innovation, and organizational growth. Provide leadership and engage regularly with stakeholders for resource planning, technical analysis, architecture reviews, solution design decisions, and quality oversight across engineering portfolios. Champion continuous improvement in engineering practices, delivery efficiency, operational excellence, and organizational agility through adoption of modern software development and platform engineering capabilities. Champion best practices and strategic thinking in the design and delivery of systems and platforms, ensuring solutions are scalable, secure, resilient, maintainable, and aligned with a Guest and Crew experience culture. Drive domain and technology strategy across web, mobile, cloud, AI, integrations, and enterprise platforms, shaping technical recommendations, architecture patterns, prioritization frameworks, and technology investment decisions. Serve as a senior technical leader for complex architecture and technology decisions, balancing business needs, engineering constraints, scalability requirements, security standards, and delivery objectives. Partner closely with Product, Engineering, Data, Program Management, and Business leaders to ensure technology solutions are architecturally sound, practical to implement, and aligned with long-term strategic goals. Lead architecture reviews, technology assessments, proof-of-concept initiatives, and modernization efforts to continuously improve platform capabilities, engineering effectiveness, and operational performance. Build and maintain strong partnerships with vendors and third-party technology providers, ensuring solutions meet Disney standards for quality, security, performance, reliability, and integration. Continuously assess emerging technologies and evolving industry trends to influence strategic direction, improve engineering capabilities, and identify opportunities for business growth and innovation. Oversee financial planning and portfolio budgeting processes, ensuring fiscal accuracy, strategic alignment, and reliable forecasting across product and technology investments. Required Qualifications and Skills: Minimum 10 years of progressive technology experience in software engineering, systems design, architecture, platform engineering, or related technical leadership disciplines. Demonstrated leadership of large-scale, complex technology initiatives and multidisciplinary engineering organizations. 2+ Years of Experience of People Management, leading software engineers, architects, technical leads, vendors, and cross-functional technology partners. Strong technical expertise across modern cloud platforms, distributed systems, integration patterns, enterprise applications, web and mobile technologies, and modern software development frameworks. Proven ability to establish and implement architectural standards that enable scalable, secure, resilient, and maintainable solutions. Experience delivering products and platforms utilizing Agile, DevOps, and modern software engineering practices. Strong executive communication, stakeholder management, strategic planning, and organizational leadership capabilities. Proven ability to lead in highly matrixed environments, influence without authority, and align technology strategy with business objectives. Preferred Qualifications and Skills: Experience supporting travel, hospitality, cruise, commerce, reservation, fulfillment, or Guest experience platforms. Experience leading large-scale digital transformation and platform modernization efforts. Expertise in cloud-native architectures and platforms including AWS, Azure, or Google Cloud. Experience with enterprise architecture governance, technology strategy, and technical operating models. Familiarity with SAFe, Agile delivery models, DevSecOps practices, and architecture frameworks such as TOGAF. Education: Bachelor's or foreign equivalent Degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience Required. Additional Information: Benefits and Perks: Disney offers a rewards package to help you live your best life. This includes health and savings benefits, educational opportunities and special extras that only Disney can provide. Learn more about our benefits and perks at . The hiring range for this position in Orlando, FL is $179,500.00-$240,600.00 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
09/24/2026
Full time
About the Role & Team: "We Power the Magic!" That's our motto at Disney Experiences (DX). Our team creates world-class immersive digital experiences for the Company's premier vacation brands including Disney Cruise Line, Aulani, Disney Vacation Club, and Disney Parks & Resorts worldwide. We are responsible for the end-to-end digital and physical Guest experience for technology and digital-led initiatives that power the planning, booking, fulfillment, operations, and Guest experience across Disney Signature Experiences. The successful candidate must possess strategic leadership skills and technical knowledge that is both broad and deep across software engineering, systems design, architecture, cloud platforms, and modern technology ecosystems. This leader will be responsible for establishing technical direction, guiding solution design, enabling engineering excellence, and ensuring the delivery of scalable, resilient, and highly integrated technology solutions that align with business priorities and enterprise standards. The role requires strong partnership across Product, Engineering, Data, Program, and Business organizations and the ability to influence outcomes in a highly matrixed environment. You will report to the Director of Software Engineering. This is a full-time Position. What You Will Do: Provide technical leadership across architecture, design, integration, quality, automation, and operations, ensuring sustainable, scalable, secure, and resilient engineering solutions across Disney Cruise Line and Disney Signature Experiences platforms. Develop and maintain strategic technology roadmaps that ensure technical currency, reduce legacy risk, support platform modernization efforts, and advance business goals. Establish and drive architectural direction, engineering standards, governance processes, and solution design practices that align technology investments with business strategy and enterprise objectives. Lead and mentor multiple cross-functional engineering teams and technical leaders across diverse locations and engagement models, fostering technical excellence, innovation, and organizational growth. Provide leadership and engage regularly with stakeholders for resource planning, technical analysis, architecture reviews, solution design decisions, and quality oversight across engineering portfolios. Champion continuous improvement in engineering practices, delivery efficiency, operational excellence, and organizational agility through adoption of modern software development and platform engineering capabilities. Champion best practices and strategic thinking in the design and delivery of systems and platforms, ensuring solutions are scalable, secure, resilient, maintainable, and aligned with a Guest and Crew experience culture. Drive domain and technology strategy across web, mobile, cloud, AI, integrations, and enterprise platforms, shaping technical recommendations, architecture patterns, prioritization frameworks, and technology investment decisions. Serve as a senior technical leader for complex architecture and technology decisions, balancing business needs, engineering constraints, scalability requirements, security standards, and delivery objectives. Partner closely with Product, Engineering, Data, Program Management, and Business leaders to ensure technology solutions are architecturally sound, practical to implement, and aligned with long-term strategic goals. Lead architecture reviews, technology assessments, proof-of-concept initiatives, and modernization efforts to continuously improve platform capabilities, engineering effectiveness, and operational performance. Build and maintain strong partnerships with vendors and third-party technology providers, ensuring solutions meet Disney standards for quality, security, performance, reliability, and integration. Continuously assess emerging technologies and evolving industry trends to influence strategic direction, improve engineering capabilities, and identify opportunities for business growth and innovation. Oversee financial planning and portfolio budgeting processes, ensuring fiscal accuracy, strategic alignment, and reliable forecasting across product and technology investments. Required Qualifications and Skills: Minimum 10 years of progressive technology experience in software engineering, systems design, architecture, platform engineering, or related technical leadership disciplines. Demonstrated leadership of large-scale, complex technology initiatives and multidisciplinary engineering organizations. 2+ Years of Experience of People Management, leading software engineers, architects, technical leads, vendors, and cross-functional technology partners. Strong technical expertise across modern cloud platforms, distributed systems, integration patterns, enterprise applications, web and mobile technologies, and modern software development frameworks. Proven ability to establish and implement architectural standards that enable scalable, secure, resilient, and maintainable solutions. Experience delivering products and platforms utilizing Agile, DevOps, and modern software engineering practices. Strong executive communication, stakeholder management, strategic planning, and organizational leadership capabilities. Proven ability to lead in highly matrixed environments, influence without authority, and align technology strategy with business objectives. Preferred Qualifications and Skills: Experience supporting travel, hospitality, cruise, commerce, reservation, fulfillment, or Guest experience platforms. Experience leading large-scale digital transformation and platform modernization efforts. Expertise in cloud-native architectures and platforms including AWS, Azure, or Google Cloud. Experience with enterprise architecture governance, technology strategy, and technical operating models. Familiarity with SAFe, Agile delivery models, DevSecOps practices, and architecture frameworks such as TOGAF. Education: Bachelor's or foreign equivalent Degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience Required. Additional Information: Benefits and Perks: Disney offers a rewards package to help you live your best life. This includes health and savings benefits, educational opportunities and special extras that only Disney can provide. Learn more about our benefits and perks at . The hiring range for this position in Orlando, FL is $179,500.00-$240,600.00 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Location This is a hybrid role based in Irving TX About the job you're considering The Capgemini team offers extensive career opportunities and provides mentoring and coaching for teammates. This role is an experienced professional with a strong background in software development. Your role A Delivery Manager / Technical Program Manager with strong expertise in global software delivery, Agile execution, enterprise integrations, deployment readiness, stakeholder management, and multi-market technology rollouts, capable of leading complex digital transformation programs across international markets. Lead end-to-end delivery of Smart Ops and Digital Ordering initiatives. Manage: Discovery, Localization, Integration, Testing, Deployment Readiness, Hypercare, Transition to Support Drive governance, milestone tracking, dependency management, and risk mitigation. Coordinate enterprise integrations involving: APIs, Middleware, Payment Systems, Menu Platforms, Delivery Aggregators, Operational Systems Oversee: Data Migration, Cutover Planning, Release Readiness, Production Deployments, Global Market Readiness Support multi-country rollouts including: Language Localization, Currency Setup, Tax Configuration, Compliance Requirements, Menu Management, Drive training and change management readiness. Deliver executive reporting, escalation management, and program updates. Governance & Operations Manage: RAID Logs, KPIs, Delivery Dashboards, Dependency Tracking Ensure successful handoff to support teams after deployment. Your skills and experience 10+ years in Technical Program Management, Delivery Management, or Enterprise Software Delivery. Strong experience with: SDLC, Agile Delivery, Jira, Confluence, Enterprise Integrations, Data Migration, Release Management, Deployment Readiness Experience managing globally distributed teams. Strong stakeholder management and executive communication skills. Global Rollout & Localization Programs Preferred Experience: QSR, Retail Technology, Hospitality, eCommerce, POS Systems, Digital Ordering Platforms, Store Technology - Hybrid The base compensation range for this role in the posted location is: $82,082 - 193,440. Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law. The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction. These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity. It is not typical for candidates to be hired at or near the top of the posted compensation range. In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws. Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include: Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave Medical, dental, and vision coverage (or provincial healthcare coordination in Canada) Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada) Life and disability insurance Employee assistance programs Other benefits as provided by local policy and eligibility Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation. Disclaimers Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact. Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process. Click the following link for more information on your rights as an Applicant in the United States. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
09/24/2026
Full time
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Location This is a hybrid role based in Irving TX About the job you're considering The Capgemini team offers extensive career opportunities and provides mentoring and coaching for teammates. This role is an experienced professional with a strong background in software development. Your role A Delivery Manager / Technical Program Manager with strong expertise in global software delivery, Agile execution, enterprise integrations, deployment readiness, stakeholder management, and multi-market technology rollouts, capable of leading complex digital transformation programs across international markets. Lead end-to-end delivery of Smart Ops and Digital Ordering initiatives. Manage: Discovery, Localization, Integration, Testing, Deployment Readiness, Hypercare, Transition to Support Drive governance, milestone tracking, dependency management, and risk mitigation. Coordinate enterprise integrations involving: APIs, Middleware, Payment Systems, Menu Platforms, Delivery Aggregators, Operational Systems Oversee: Data Migration, Cutover Planning, Release Readiness, Production Deployments, Global Market Readiness Support multi-country rollouts including: Language Localization, Currency Setup, Tax Configuration, Compliance Requirements, Menu Management, Drive training and change management readiness. Deliver executive reporting, escalation management, and program updates. Governance & Operations Manage: RAID Logs, KPIs, Delivery Dashboards, Dependency Tracking Ensure successful handoff to support teams after deployment. Your skills and experience 10+ years in Technical Program Management, Delivery Management, or Enterprise Software Delivery. Strong experience with: SDLC, Agile Delivery, Jira, Confluence, Enterprise Integrations, Data Migration, Release Management, Deployment Readiness Experience managing globally distributed teams. Strong stakeholder management and executive communication skills. Global Rollout & Localization Programs Preferred Experience: QSR, Retail Technology, Hospitality, eCommerce, POS Systems, Digital Ordering Platforms, Store Technology - Hybrid The base compensation range for this role in the posted location is: $82,082 - 193,440. Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law. The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction. These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity. It is not typical for candidates to be hired at or near the top of the posted compensation range. In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws. Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include: Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave Medical, dental, and vision coverage (or provincial healthcare coordination in Canada) Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada) Life and disability insurance Employee assistance programs Other benefits as provided by local policy and eligibility Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation. Disclaimers Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact. Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process. Click the following link for more information on your rights as an Applicant in the United States. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
C3 AI (NYSE: AI), is the Enterprise AI application software company. C3 AI delivers a family of fully integrated products including the C3 Agentic AI Platform, an end-to-end platform for developing, deploying, and operating enterprise AI applications, C3 AI applications, a portfolio of industry-specific SaaS enterprise AI applications that enable the digital transformation of organizations globally, and C3 Generative AI, a suite of domain-specific generative AI offerings for the enterprise. Learn more at: C3 AI C3 AI is looking for Senior Software Engineers to join the rapidly growing Data org within the Platform Engineering department. Successful candidates will get the opportunity to work on high-value technologies at the intersection of large-scale distributed systems, data infrastructure, and machine learning. You will design, develop, and maintain various features in a highly scalable and extensible AI/ML platform for large-scale applications, involving data science, distributed systems, and multi-cloud strategy. You will be given opportunities to take ownership of components, collaborate to drive technical direction, and work on interesting, impactful projects. Join us in building the next-generation AI/ML platform at petabyte level scale that powers some of the world's largest companies in Energy, Financial Services, Utilities, Health Care, Aerospace, Defense, etc. Accelerate your career in the leading enterprise AI company that is in a hyper-growth trajectory. Responsibilities: Design and develop infrastructure and services to enable data pipelines for petabyte level scale and more. Design and develop abstractions over datastores such as Cassandra, PostgreSQL, Snowflake, etc. Design and develop file system abstractions over AWS S3, Azure Blobs, HDFS, etc. Design and develop connectors to various external data stores. Design and develop distributed system components for stream processing, queueing, batch processing, analytics engines, etc. Develop and maintain industry-leading, high-performance APIs for AL/ML applications. Develop and maintain features for distributed computations over large-scale data for ML workflows. Design and develop ML-specific data-systems such as feature stores and behavioral frameworks such as recommendation engines. Design and develop integrations with distributed computing technologies such as Apache Spark, Ray, etc. for data exploration and ML workload orchestration. Design and develop integrations with data analysis libraries such as Pandas, Koalas, etc. Develop and production AI/ML models for failure prediction, data schema inferencing, etc. Work on frameworks for performance, scalability, and reliability tracking over different components of a highly extensible AI/ML platform. Work with architects, product managers, and software engineers across teams in a highly collaborative environment. Participate and provide insights in technical discussions. Write clean code following a test-driven methodology. Deliver commitments promptly following agile software development methodology. Qualifications: Bachelor of Science in Computer Science, Computer Engineering, or related fields. A minimum of 5 years of work experience in a fast-paced software company. Strong understanding of Computer Science fundamentals. High proficiency in coding with Java, C++, C#, or some other compiled language. Python would also be acceptable. Strong competency in object-oriented programming, data structures, algorithms, and software design patterns. Experience with version control systems such as Git. Experience with large-scale distributed systems. Experience with any public cloud platform (AWS, Azure, GCP). Some familiarity with distributed computing technologies (e.g., Hadoop, Spark, Kafka). Familiarity with managed versions of these technologies on public cloud platforms is also acceptable. Familiarity with technologies in the modern data science/analysis and engineering ecosystem (e.g., Pandas, Koalas). Good verbal and written technical communication ability to facilitate collaboration. Thrive in a fast-paced, dynamic environment and value end-to-end ownership of components. Intellectually curious and open to challenges. Preferred Qualifications: Advanced degree in engineering, sciences, or related field. Experience with Agile development methodology. Experience developing and working with REST and/or GraphQL APIs. Experience building scalable and reliable data pipelines. Experience with integration of data from multiple sources. Experience working with analytics and/or data processing engines. Experience developing distributed computation over large-scale data. Experience working with distributed computing frameworks (e.g., Hadoop, Spark, Kafka). Experience with data science/analysis libraries (e.g., Pandas, Koalas). Experience with task schedulers in distributed computing (e.g., Spark, Ray, Dask). Familiarity with machine learning workload orchestration in a distributed computing environment. Familiarity with workflow execution and/or optimization using DAGs, ideally for machine learning use-cases. Conceptual understanding of orchestration and resource provisioning systems (Kubernetes) C3 AI provides excellent benefits, a competitive compensation package and generous equity plan. California Base Pay Range $145,000-$187,000 USD C3 AI is proud to be an Equal Opportunity and Affirmative Action Employer. We do not discriminate on the basis of any legally protected characteristics, including disabled and veteran status.
09/24/2026
Full time
C3 AI (NYSE: AI), is the Enterprise AI application software company. C3 AI delivers a family of fully integrated products including the C3 Agentic AI Platform, an end-to-end platform for developing, deploying, and operating enterprise AI applications, C3 AI applications, a portfolio of industry-specific SaaS enterprise AI applications that enable the digital transformation of organizations globally, and C3 Generative AI, a suite of domain-specific generative AI offerings for the enterprise. Learn more at: C3 AI C3 AI is looking for Senior Software Engineers to join the rapidly growing Data org within the Platform Engineering department. Successful candidates will get the opportunity to work on high-value technologies at the intersection of large-scale distributed systems, data infrastructure, and machine learning. You will design, develop, and maintain various features in a highly scalable and extensible AI/ML platform for large-scale applications, involving data science, distributed systems, and multi-cloud strategy. You will be given opportunities to take ownership of components, collaborate to drive technical direction, and work on interesting, impactful projects. Join us in building the next-generation AI/ML platform at petabyte level scale that powers some of the world's largest companies in Energy, Financial Services, Utilities, Health Care, Aerospace, Defense, etc. Accelerate your career in the leading enterprise AI company that is in a hyper-growth trajectory. Responsibilities: Design and develop infrastructure and services to enable data pipelines for petabyte level scale and more. Design and develop abstractions over datastores such as Cassandra, PostgreSQL, Snowflake, etc. Design and develop file system abstractions over AWS S3, Azure Blobs, HDFS, etc. Design and develop connectors to various external data stores. Design and develop distributed system components for stream processing, queueing, batch processing, analytics engines, etc. Develop and maintain industry-leading, high-performance APIs for AL/ML applications. Develop and maintain features for distributed computations over large-scale data for ML workflows. Design and develop ML-specific data-systems such as feature stores and behavioral frameworks such as recommendation engines. Design and develop integrations with distributed computing technologies such as Apache Spark, Ray, etc. for data exploration and ML workload orchestration. Design and develop integrations with data analysis libraries such as Pandas, Koalas, etc. Develop and production AI/ML models for failure prediction, data schema inferencing, etc. Work on frameworks for performance, scalability, and reliability tracking over different components of a highly extensible AI/ML platform. Work with architects, product managers, and software engineers across teams in a highly collaborative environment. Participate and provide insights in technical discussions. Write clean code following a test-driven methodology. Deliver commitments promptly following agile software development methodology. Qualifications: Bachelor of Science in Computer Science, Computer Engineering, or related fields. A minimum of 5 years of work experience in a fast-paced software company. Strong understanding of Computer Science fundamentals. High proficiency in coding with Java, C++, C#, or some other compiled language. Python would also be acceptable. Strong competency in object-oriented programming, data structures, algorithms, and software design patterns. Experience with version control systems such as Git. Experience with large-scale distributed systems. Experience with any public cloud platform (AWS, Azure, GCP). Some familiarity with distributed computing technologies (e.g., Hadoop, Spark, Kafka). Familiarity with managed versions of these technologies on public cloud platforms is also acceptable. Familiarity with technologies in the modern data science/analysis and engineering ecosystem (e.g., Pandas, Koalas). Good verbal and written technical communication ability to facilitate collaboration. Thrive in a fast-paced, dynamic environment and value end-to-end ownership of components. Intellectually curious and open to challenges. Preferred Qualifications: Advanced degree in engineering, sciences, or related field. Experience with Agile development methodology. Experience developing and working with REST and/or GraphQL APIs. Experience building scalable and reliable data pipelines. Experience with integration of data from multiple sources. Experience working with analytics and/or data processing engines. Experience developing distributed computation over large-scale data. Experience working with distributed computing frameworks (e.g., Hadoop, Spark, Kafka). Experience with data science/analysis libraries (e.g., Pandas, Koalas). Experience with task schedulers in distributed computing (e.g., Spark, Ray, Dask). Familiarity with machine learning workload orchestration in a distributed computing environment. Familiarity with workflow execution and/or optimization using DAGs, ideally for machine learning use-cases. Conceptual understanding of orchestration and resource provisioning systems (Kubernetes) C3 AI provides excellent benefits, a competitive compensation package and generous equity plan. California Base Pay Range $145,000-$187,000 USD C3 AI is proud to be an Equal Opportunity and Affirmative Action Employer. We do not discriminate on the basis of any legally protected characteristics, including disabled and veteran status.
Location: San Antonio Farinon Park, Dallas - 1201 Elm St At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. The opportunity We are offering you a demanding role. You will use the most advanced Quality models to implement the newest delivery excellence solutions. This position includes possibility to interact within international environment and work with the most recognizable and influential players in Delivery Excellence space. Your key responsibilities Responsible for designing, developing, implementing, and supporting enterprise API solutions using Apigee, ensuring secure, scalable, and high-performing API ecosystems. Accountable for API lifecycle management including API design, development, security, deployment, monitoring, versioning, and governance. Assess, design, build, test, deploy, and document API integrations between enterprise applications, cloud platforms, third-party vendors, and partner systems. Design and implement reusable API proxies, shared flows, security policies, and common integration components. Must be comfortable working in Agile methodology, driving technical discussions, gathering requirements from multiple stakeholders, and preparing technical solution specifications. Develop API management solutions including traffic management, authentication, authorization, rate limiting, caching, and threat protection. Identify root causes of production issues and provide technical solutions for performance optimization and operational stability. Forecast technical risks, dependencies, and mitigation plans and communicate them proactively with architects and delivery managers. Ensure API governance standards, security compliance, and enterprise integration best practices are followed across projects. Contribute to organization assets, accelerators, frameworks, reusable components, and process improvements. Deliver Proof of Concepts (PoCs), conduct code reviews, and mentor junior developers. Implement DevOps and CI/CD practices for API development, testing, deployment, and monitoring. Support integration testing, performance testing, security testing, and user acceptance testing activities. Collaborate with business, security, infrastructure, and application teams to deliver scalable API-led connectivity solutions. Key skills: Experience in API Management and Integration projects and hands-on experience in Apigee development. Must have implementation experience using Apigee in at least 2 enterprise-scale projects. Strong experience with Apigee Edge and/or Apigee X. Experience designing and implementing RESTful APIs and API-first architectures. Strong hands-on experience with API Proxy development, Shared Flows, Flow Hooks, API Products, Developers, Apps, and Monetization concepts. Experience implementing API security standards including OAuth 2.0, OpenID Connect, JWT, SAML, API Keys, mTLS, and SSL/TLS. Experience with API Gateway policies such as Spike Arrest, Quota, Caching, Threat Protection, Traffic Management, Message Transformation, and Logging. Strong knowledge of JavaScript and policy-based API development within Apigee. Experience integrating enterprise applications, ERP systems, CRM applications, SaaS platforms, and cloud-native services. Experience with REST, SOAP, JSON, XML, OpenAPI/Swagger specifications, Microservices, and Event-Driven Architecture. Hands-on experience troubleshooting API performance, latency, scalability, and security issues. Experience with logging and monitoring tools such as Splunk, ELK, Dynatrace, Grafana, Cloud Monitoring, or equivalent platforms. Knowledge of CI/CD tools including Jenkins, GitHub, GitLab, Azure DevOps, Maven, and automated deployment pipelines. Experience working with Kubernetes, Docker, and cloud platforms such as Google Cloud Platform (preferred), AWS, or Azure. Understanding of API Governance, API Analytics, Developer Portals, and API Lifecycle Management. Multi-domain expertise and experience with other integration platforms is an added advantage. Strong written and verbal communication skills. Apigee API Engineer Certification or related Google Cloud certifications are preferred. Should be capable of mentoring team members and handling customer interactions independently. Skills and attributes for success: Strong communication skills and ability to collaborate with business delivery teams. Analytical thinking. Strong team-player and self-started attitude. Ability to create quality process documentation. Well organized, attentive to details attitude. To qualify for the role, you must have: College degree in Computer Science, Engineering, Information Technology, or related field. Minimum 3 years of experience in API development, integration, and API management projects. Strong understanding of API Security, API Governance, and Enterprise Integration Patterns. Experience handling production support, incident management, and root cause analysis. Ability to manage technical risks and customer escalations. Ability to interact effectively across business, technical, and leadership teams. Experience working in Agile Scrum and DevOps environments. Additionally, good to have: Experience with other API Management platforms such as IBM API Connect (APIC) and DataPower will be an added advantage. Experience with event streaming platforms such as Kafka or Pub/Sub. Knowledge of project management tools like JIRA, Azure DevOps, and Confluence. Exposure to DevOps automation, Infrastructure as Code (Terraform), and cloud-native architectures. Knowledge of SDLC, Waterfall, Agile, SAFe Agile, and Scrum methodologies. Experience with API monetization and partner onboarding solutions. Understanding of enterprise architecture frameworks and digital transformation programs. Ideally, you'll also have: Ability to define processes for teams. Experience in project audits and reviews. Ability to analyse risks and metrics of projects. What we look for: A Team of people with commercial acumen, technical experience and enthusiasm to learn new things in this fast-moving environment An opportunity to be a part of market-leading, multi-disciplinary team of 250+ professionals, in the only integrated global transaction business worldwide. Opportunities to work with EY ServiceNow practices globally with leading businesses across a range of industries What working at EY offers At EY, we're dedicated to helping our clients, from start-ups to Fortune 500 companies - and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that's right for you About EY As a global leader in assurance, tax, transaction and advisory services, we're using the finance products, expertise and systems we've developed to build a better working world. That starts with a culture that believes in giving you the training, opportunities and creative freedom to make things better. Whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. And with a commitment to hiring and developing the most passionate people, we'll make our ambition to be the best employer by 2020 a reality. If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible. Join us in building a better working world. Apply now What we offer you At EY, we harness our collective strength to empower you to shape your future with confidence through professional growth, personal fulfillment and an inclusive culture. Learn more at We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job is: New York City, Boston, and Washington DC Metro Areas, Washington State, and Southern California offices - $80,300 to $149,100 Bay Area California offices - $83,700 to $155,300 All other offices locations in the US, including Sacramento - $67,000 to $136,800 Individual salaries within these ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage . click apply for full job details
09/23/2026
Full time
Location: San Antonio Farinon Park, Dallas - 1201 Elm St At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. The opportunity We are offering you a demanding role. You will use the most advanced Quality models to implement the newest delivery excellence solutions. This position includes possibility to interact within international environment and work with the most recognizable and influential players in Delivery Excellence space. Your key responsibilities Responsible for designing, developing, implementing, and supporting enterprise API solutions using Apigee, ensuring secure, scalable, and high-performing API ecosystems. Accountable for API lifecycle management including API design, development, security, deployment, monitoring, versioning, and governance. Assess, design, build, test, deploy, and document API integrations between enterprise applications, cloud platforms, third-party vendors, and partner systems. Design and implement reusable API proxies, shared flows, security policies, and common integration components. Must be comfortable working in Agile methodology, driving technical discussions, gathering requirements from multiple stakeholders, and preparing technical solution specifications. Develop API management solutions including traffic management, authentication, authorization, rate limiting, caching, and threat protection. Identify root causes of production issues and provide technical solutions for performance optimization and operational stability. Forecast technical risks, dependencies, and mitigation plans and communicate them proactively with architects and delivery managers. Ensure API governance standards, security compliance, and enterprise integration best practices are followed across projects. Contribute to organization assets, accelerators, frameworks, reusable components, and process improvements. Deliver Proof of Concepts (PoCs), conduct code reviews, and mentor junior developers. Implement DevOps and CI/CD practices for API development, testing, deployment, and monitoring. Support integration testing, performance testing, security testing, and user acceptance testing activities. Collaborate with business, security, infrastructure, and application teams to deliver scalable API-led connectivity solutions. Key skills: Experience in API Management and Integration projects and hands-on experience in Apigee development. Must have implementation experience using Apigee in at least 2 enterprise-scale projects. Strong experience with Apigee Edge and/or Apigee X. Experience designing and implementing RESTful APIs and API-first architectures. Strong hands-on experience with API Proxy development, Shared Flows, Flow Hooks, API Products, Developers, Apps, and Monetization concepts. Experience implementing API security standards including OAuth 2.0, OpenID Connect, JWT, SAML, API Keys, mTLS, and SSL/TLS. Experience with API Gateway policies such as Spike Arrest, Quota, Caching, Threat Protection, Traffic Management, Message Transformation, and Logging. Strong knowledge of JavaScript and policy-based API development within Apigee. Experience integrating enterprise applications, ERP systems, CRM applications, SaaS platforms, and cloud-native services. Experience with REST, SOAP, JSON, XML, OpenAPI/Swagger specifications, Microservices, and Event-Driven Architecture. Hands-on experience troubleshooting API performance, latency, scalability, and security issues. Experience with logging and monitoring tools such as Splunk, ELK, Dynatrace, Grafana, Cloud Monitoring, or equivalent platforms. Knowledge of CI/CD tools including Jenkins, GitHub, GitLab, Azure DevOps, Maven, and automated deployment pipelines. Experience working with Kubernetes, Docker, and cloud platforms such as Google Cloud Platform (preferred), AWS, or Azure. Understanding of API Governance, API Analytics, Developer Portals, and API Lifecycle Management. Multi-domain expertise and experience with other integration platforms is an added advantage. Strong written and verbal communication skills. Apigee API Engineer Certification or related Google Cloud certifications are preferred. Should be capable of mentoring team members and handling customer interactions independently. Skills and attributes for success: Strong communication skills and ability to collaborate with business delivery teams. Analytical thinking. Strong team-player and self-started attitude. Ability to create quality process documentation. Well organized, attentive to details attitude. To qualify for the role, you must have: College degree in Computer Science, Engineering, Information Technology, or related field. Minimum 3 years of experience in API development, integration, and API management projects. Strong understanding of API Security, API Governance, and Enterprise Integration Patterns. Experience handling production support, incident management, and root cause analysis. Ability to manage technical risks and customer escalations. Ability to interact effectively across business, technical, and leadership teams. Experience working in Agile Scrum and DevOps environments. Additionally, good to have: Experience with other API Management platforms such as IBM API Connect (APIC) and DataPower will be an added advantage. Experience with event streaming platforms such as Kafka or Pub/Sub. Knowledge of project management tools like JIRA, Azure DevOps, and Confluence. Exposure to DevOps automation, Infrastructure as Code (Terraform), and cloud-native architectures. Knowledge of SDLC, Waterfall, Agile, SAFe Agile, and Scrum methodologies. Experience with API monetization and partner onboarding solutions. Understanding of enterprise architecture frameworks and digital transformation programs. Ideally, you'll also have: Ability to define processes for teams. Experience in project audits and reviews. Ability to analyse risks and metrics of projects. What we look for: A Team of people with commercial acumen, technical experience and enthusiasm to learn new things in this fast-moving environment An opportunity to be a part of market-leading, multi-disciplinary team of 250+ professionals, in the only integrated global transaction business worldwide. Opportunities to work with EY ServiceNow practices globally with leading businesses across a range of industries What working at EY offers At EY, we're dedicated to helping our clients, from start-ups to Fortune 500 companies - and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that's right for you About EY As a global leader in assurance, tax, transaction and advisory services, we're using the finance products, expertise and systems we've developed to build a better working world. That starts with a culture that believes in giving you the training, opportunities and creative freedom to make things better. Whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. And with a commitment to hiring and developing the most passionate people, we'll make our ambition to be the best employer by 2020 a reality. If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible. Join us in building a better working world. Apply now What we offer you At EY, we harness our collective strength to empower you to shape your future with confidence through professional growth, personal fulfillment and an inclusive culture. Learn more at We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job is: New York City, Boston, and Washington DC Metro Areas, Washington State, and Southern California offices - $80,300 to $149,100 Bay Area California offices - $83,700 to $155,300 All other offices locations in the US, including Sacramento - $67,000 to $136,800 Individual salaries within these ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage . click apply for full job details
Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange ️ platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 160+ public exchanges globally and thousands of private exchanges at the edge, the SASE-based Zero Trust Exchange is the world's largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world's hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Staff Site Reliability Engineer (Production Engineer) to join our team. This is a hybrid role (onsite three days a week in San Jose, CA or another Zscaler office; remote can be considered for exceptional candidates) reporting to the Senior Manager, Site Reliability Engineering in the Zero Trust Exchange department. As a key member of the Zero Trust Exchange team, you will own the systems-level reliability and performance of Zscaler's high-throughput bare-metal and cloud infrastructure processing tens of billions of daily transactions across a global, multi-region fleet. This is a software-first SRE role: you will write production-grade code and automation, drive the shift from reactive incident response, and bring engineering discipline to the systems-level work - OS, network and application debugging - that keeps the fleet operating safely at scale. What You'll Do (Role Expectations) Maintain high availability across large-scale bare-metal Linux/BSD fleets, Kubernetes clusters, and custom routing stacks in partnership with Engineering and Networking teams Lead full-cycle incident response by conducting cross-stack troubleshooting using low-level OS and network tools (strace, lsof, tcpdump, iostat, vmstat, gdb), maintain high availability across large-scale bare metal Linux /BSD fleets and Kubernetes clusters Automate infrastructure lifecycle management, service provisioning, configuration workflows, and release deployments using Ansible, Python, and Go; quantify operational toil and convert recurring manual work into durable, version-controlled, testable automation - tracking reduction as an engineering outcome Own end-to-end telemetry (metrics, logs, traces) using Prometheus and OpenTelemetry ecosystems; define and enforce SLOs/error budgets to reduce alert noise Perform architectural reviews, OS/kernel upgrades, capacity and performance tuning, strict CI/CD validation prior to production rollouts; embed operability standards (telemetry, rollback safety, SLO readiness) into service design from the start Who You Are (Success Profile) You thrive in ambiguity. You're comfortable building the path as you walk it, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful. You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution. You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact. You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback-knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust. You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose. What We're Looking For (Minimum Qualifications) US Citizenship is required (due to the nature of assigned customers) Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain 5+ years of experience in Site Reliability Engineering, Production Engineering, or Systems Engineering operating high-scale, low-latency production platforms Proven ability to write and debug executable code live (Python, Go, or Bash) covering core logic/data structures, along with hands-on experience writing Ansible playbooks/tasks for infrastructure automation Deep knowledge of Linux OS internals and kernel troubleshooting (e.g., inodes, open file descriptors, process states, and analyzing df vs du storage discrepancies) Comprehensive understanding of networking protocols and packet-level analysis, including DNS resolution workflows, TLS handshakes, TCP/IP mechanics, and packet captures via tcpdump What Will Make You Stand Out (Preferred Qualifications) Hands-on experience operating and managing FreeBSD / BSD operating systems in production Proven expertise running, scaling, and troubleshooting Kubernetes clusters in high-traffic, low-latency environments and workflow orchestration platforms (Temporal or similar) Deep experience with Prometheus / OpenTelemetry ecosystems, or leveraging AI/ML frameworks/AIOps tools for automated root-cause analysis Zscaler's salary ranges are benchmarked and are determined by role and level. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations and could be higher or lower based on a multitude of factors, including job-related skills, experience, and relevant education or training. The base salary range listed for this full-time position excludes commission/ bonus/ equity (if applicable) + benefits. Base Pay Range $119,000-$170,000 USD At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure. Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including: Various health plans Time off plans for vacation and sick time Parental leave options Retirement options Education reimbursement In-office perks, and more! Learn more about Zscaler's hybrid working model and benefits here. By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines. Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link. Pay Transparency Zscaler complies with all applicable federal, state, and local pay transparency rules. Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.
09/23/2026
Full time
Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange ️ platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 160+ public exchanges globally and thousands of private exchanges at the edge, the SASE-based Zero Trust Exchange is the world's largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world's hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Staff Site Reliability Engineer (Production Engineer) to join our team. This is a hybrid role (onsite three days a week in San Jose, CA or another Zscaler office; remote can be considered for exceptional candidates) reporting to the Senior Manager, Site Reliability Engineering in the Zero Trust Exchange department. As a key member of the Zero Trust Exchange team, you will own the systems-level reliability and performance of Zscaler's high-throughput bare-metal and cloud infrastructure processing tens of billions of daily transactions across a global, multi-region fleet. This is a software-first SRE role: you will write production-grade code and automation, drive the shift from reactive incident response, and bring engineering discipline to the systems-level work - OS, network and application debugging - that keeps the fleet operating safely at scale. What You'll Do (Role Expectations) Maintain high availability across large-scale bare-metal Linux/BSD fleets, Kubernetes clusters, and custom routing stacks in partnership with Engineering and Networking teams Lead full-cycle incident response by conducting cross-stack troubleshooting using low-level OS and network tools (strace, lsof, tcpdump, iostat, vmstat, gdb), maintain high availability across large-scale bare metal Linux /BSD fleets and Kubernetes clusters Automate infrastructure lifecycle management, service provisioning, configuration workflows, and release deployments using Ansible, Python, and Go; quantify operational toil and convert recurring manual work into durable, version-controlled, testable automation - tracking reduction as an engineering outcome Own end-to-end telemetry (metrics, logs, traces) using Prometheus and OpenTelemetry ecosystems; define and enforce SLOs/error budgets to reduce alert noise Perform architectural reviews, OS/kernel upgrades, capacity and performance tuning, strict CI/CD validation prior to production rollouts; embed operability standards (telemetry, rollback safety, SLO readiness) into service design from the start Who You Are (Success Profile) You thrive in ambiguity. You're comfortable building the path as you walk it, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful. You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution. You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact. You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback-knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust. You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose. What We're Looking For (Minimum Qualifications) US Citizenship is required (due to the nature of assigned customers) Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain 5+ years of experience in Site Reliability Engineering, Production Engineering, or Systems Engineering operating high-scale, low-latency production platforms Proven ability to write and debug executable code live (Python, Go, or Bash) covering core logic/data structures, along with hands-on experience writing Ansible playbooks/tasks for infrastructure automation Deep knowledge of Linux OS internals and kernel troubleshooting (e.g., inodes, open file descriptors, process states, and analyzing df vs du storage discrepancies) Comprehensive understanding of networking protocols and packet-level analysis, including DNS resolution workflows, TLS handshakes, TCP/IP mechanics, and packet captures via tcpdump What Will Make You Stand Out (Preferred Qualifications) Hands-on experience operating and managing FreeBSD / BSD operating systems in production Proven expertise running, scaling, and troubleshooting Kubernetes clusters in high-traffic, low-latency environments and workflow orchestration platforms (Temporal or similar) Deep experience with Prometheus / OpenTelemetry ecosystems, or leveraging AI/ML frameworks/AIOps tools for automated root-cause analysis Zscaler's salary ranges are benchmarked and are determined by role and level. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations and could be higher or lower based on a multitude of factors, including job-related skills, experience, and relevant education or training. The base salary range listed for this full-time position excludes commission/ bonus/ equity (if applicable) + benefits. Base Pay Range $119,000-$170,000 USD At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure. Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including: Various health plans Time off plans for vacation and sick time Parental leave options Retirement options Education reimbursement In-office perks, and more! Learn more about Zscaler's hybrid working model and benefits here. By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines. Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link. Pay Transparency Zscaler complies with all applicable federal, state, and local pay transparency rules. Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.
Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange ️ platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 160+ public exchanges globally and thousands of private exchanges at the edge, the SASE-based Zero Trust Exchange is the world's largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world's hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Staff Site Reliability Engineer (Production Engineer) to join our team. This is a hybrid role (onsite three days a week in San Jose, CA or another Zscaler office; remote can be considered for exceptional candidates) reporting to the Senior Manager, Site Reliability Engineering in the Zero Trust Exchange department. As a key member of the Zero Trust Exchange team, you will own the systems-level reliability and performance of Zscaler's high-throughput bare-metal and cloud infrastructure processing tens of billions of daily transactions across a global, multi-region fleet. This is a software-first SRE role: you will write production-grade code and automation, drive the shift from reactive incident response, and bring engineering discipline to the systems-level work - OS, network and application debugging - that keeps the fleet operating safely at scale. What You'll Do (Role Expectations) Maintain high availability across large-scale bare-metal Linux/BSD fleets, Kubernetes clusters, and custom routing stacks in partnership with Engineering and Networking teams Lead full-cycle incident response by conducting cross-stack troubleshooting using low-level OS and network tools (strace, lsof, tcpdump, iostat, vmstat, gdb), maintain high availability across large-scale bare metal Linux /BSD fleets and Kubernetes clusters Automate infrastructure lifecycle management, service provisioning, configuration workflows, and release deployments using Ansible, Python, and Go; quantify operational toil and convert recurring manual work into durable, version-controlled, testable automation - tracking reduction as an engineering outcome Own end-to-end telemetry (metrics, logs, traces) using Prometheus and OpenTelemetry ecosystems; define and enforce SLOs/error budgets to reduce alert noise Perform architectural reviews, OS/kernel upgrades, capacity and performance tuning, strict CI/CD validation prior to production rollouts; embed operability standards (telemetry, rollback safety, SLO readiness) into service design from the start Who You Are (Success Profile) You thrive in ambiguity. You're comfortable building the path as you walk it, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful. You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution. You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact. You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback-knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust. You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose. What We're Looking For (Minimum Qualifications) US Citizenship is required (due to the nature of assigned customers) Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain 5+ years of experience in Site Reliability Engineering, Production Engineering, or Systems Engineering operating high-scale, low-latency production platforms Proven ability to write and debug executable code live (Python, Go, or Bash) covering core logic/data structures, along with hands-on experience writing Ansible playbooks/tasks for infrastructure automation Deep knowledge of Linux OS internals and kernel troubleshooting (e.g., inodes, open file descriptors, process states, and analyzing df vs du storage discrepancies) Comprehensive understanding of networking protocols and packet-level analysis, including DNS resolution workflows, TLS handshakes, TCP/IP mechanics, and packet captures via tcpdump What Will Make You Stand Out (Preferred Qualifications) Hands-on experience operating and managing FreeBSD / BSD operating systems in production Proven expertise running, scaling, and troubleshooting Kubernetes clusters in high-traffic, low-latency environments and workflow orchestration platforms (Temporal or similar) Deep experience with Prometheus / OpenTelemetry ecosystems, or leveraging AI/ML frameworks/AIOps tools for automated root-cause analysis Zscaler's salary ranges are benchmarked and are determined by role and level. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations and could be higher or lower based on a multitude of factors, including job-related skills, experience, and relevant education or training. The base salary range listed for this full-time position excludes commission/ bonus/ equity (if applicable) + benefits. Base Pay Range $119,000-$170,000 USD At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure. Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including: Various health plans Time off plans for vacation and sick time Parental leave options Retirement options Education reimbursement In-office perks, and more! Learn more about Zscaler's hybrid working model and benefits here. By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines. Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link. Pay Transparency Zscaler complies with all applicable federal, state, and local pay transparency rules. Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.
09/23/2026
Full time
Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange ️ platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 160+ public exchanges globally and thousands of private exchanges at the edge, the SASE-based Zero Trust Exchange is the world's largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world's hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Staff Site Reliability Engineer (Production Engineer) to join our team. This is a hybrid role (onsite three days a week in San Jose, CA or another Zscaler office; remote can be considered for exceptional candidates) reporting to the Senior Manager, Site Reliability Engineering in the Zero Trust Exchange department. As a key member of the Zero Trust Exchange team, you will own the systems-level reliability and performance of Zscaler's high-throughput bare-metal and cloud infrastructure processing tens of billions of daily transactions across a global, multi-region fleet. This is a software-first SRE role: you will write production-grade code and automation, drive the shift from reactive incident response, and bring engineering discipline to the systems-level work - OS, network and application debugging - that keeps the fleet operating safely at scale. What You'll Do (Role Expectations) Maintain high availability across large-scale bare-metal Linux/BSD fleets, Kubernetes clusters, and custom routing stacks in partnership with Engineering and Networking teams Lead full-cycle incident response by conducting cross-stack troubleshooting using low-level OS and network tools (strace, lsof, tcpdump, iostat, vmstat, gdb), maintain high availability across large-scale bare metal Linux /BSD fleets and Kubernetes clusters Automate infrastructure lifecycle management, service provisioning, configuration workflows, and release deployments using Ansible, Python, and Go; quantify operational toil and convert recurring manual work into durable, version-controlled, testable automation - tracking reduction as an engineering outcome Own end-to-end telemetry (metrics, logs, traces) using Prometheus and OpenTelemetry ecosystems; define and enforce SLOs/error budgets to reduce alert noise Perform architectural reviews, OS/kernel upgrades, capacity and performance tuning, strict CI/CD validation prior to production rollouts; embed operability standards (telemetry, rollback safety, SLO readiness) into service design from the start Who You Are (Success Profile) You thrive in ambiguity. You're comfortable building the path as you walk it, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful. You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution. You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact. You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback-knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust. You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose. What We're Looking For (Minimum Qualifications) US Citizenship is required (due to the nature of assigned customers) Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain 5+ years of experience in Site Reliability Engineering, Production Engineering, or Systems Engineering operating high-scale, low-latency production platforms Proven ability to write and debug executable code live (Python, Go, or Bash) covering core logic/data structures, along with hands-on experience writing Ansible playbooks/tasks for infrastructure automation Deep knowledge of Linux OS internals and kernel troubleshooting (e.g., inodes, open file descriptors, process states, and analyzing df vs du storage discrepancies) Comprehensive understanding of networking protocols and packet-level analysis, including DNS resolution workflows, TLS handshakes, TCP/IP mechanics, and packet captures via tcpdump What Will Make You Stand Out (Preferred Qualifications) Hands-on experience operating and managing FreeBSD / BSD operating systems in production Proven expertise running, scaling, and troubleshooting Kubernetes clusters in high-traffic, low-latency environments and workflow orchestration platforms (Temporal or similar) Deep experience with Prometheus / OpenTelemetry ecosystems, or leveraging AI/ML frameworks/AIOps tools for automated root-cause analysis Zscaler's salary ranges are benchmarked and are determined by role and level. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations and could be higher or lower based on a multitude of factors, including job-related skills, experience, and relevant education or training. The base salary range listed for this full-time position excludes commission/ bonus/ equity (if applicable) + benefits. Base Pay Range $119,000-$170,000 USD At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure. Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including: Various health plans Time off plans for vacation and sick time Parental leave options Retirement options Education reimbursement In-office perks, and more! Learn more about Zscaler's hybrid working model and benefits here. By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines. Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link. Pay Transparency Zscaler complies with all applicable federal, state, and local pay transparency rules. Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.
Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange ️ platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 160+ public exchanges globally and thousands of private exchanges at the edge, the SASE-based Zero Trust Exchange is the world's largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world's hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Staff Site Reliability Engineer (Production Engineer) to join our team. This is a hybrid role (onsite three days a week in San Jose, CA or another Zscaler office; remote can be considered for exceptional candidates) reporting to the Senior Manager, Site Reliability Engineering in the Zero Trust Exchange department. As a key member of the Zero Trust Exchange team, you will own the systems-level reliability and performance of Zscaler's high-throughput bare-metal and cloud infrastructure processing tens of billions of daily transactions across a global, multi-region fleet. This is a software-first SRE role: you will write production-grade code and automation, drive the shift from reactive incident response, and bring engineering discipline to the systems-level work - OS, network and application debugging - that keeps the fleet operating safely at scale. What You'll Do (Role Expectations) Maintain high availability across large-scale bare-metal Linux/BSD fleets, Kubernetes clusters, and custom routing stacks in partnership with Engineering and Networking teams Lead full-cycle incident response by conducting cross-stack troubleshooting using low-level OS and network tools (strace, lsof, tcpdump, iostat, vmstat, gdb), maintain high availability across large-scale bare metal Linux /BSD fleets and Kubernetes clusters Automate infrastructure lifecycle management, service provisioning, configuration workflows, and release deployments using Ansible, Python, and Go; quantify operational toil and convert recurring manual work into durable, version-controlled, testable automation - tracking reduction as an engineering outcome Own end-to-end telemetry (metrics, logs, traces) using Prometheus and OpenTelemetry ecosystems; define and enforce SLOs/error budgets to reduce alert noise Perform architectural reviews, OS/kernel upgrades, capacity and performance tuning, strict CI/CD validation prior to production rollouts; embed operability standards (telemetry, rollback safety, SLO readiness) into service design from the start Who You Are (Success Profile) You thrive in ambiguity. You're comfortable building the path as you walk it, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful. You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution. You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact. You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback-knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust. You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose. What We're Looking For (Minimum Qualifications) US Citizenship is required (due to the nature of assigned customers) Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain 5+ years of experience in Site Reliability Engineering, Production Engineering, or Systems Engineering operating high-scale, low-latency production platforms Proven ability to write and debug executable code live (Python, Go, or Bash) covering core logic/data structures, along with hands-on experience writing Ansible playbooks/tasks for infrastructure automation Deep knowledge of Linux OS internals and kernel troubleshooting (e.g., inodes, open file descriptors, process states, and analyzing df vs du storage discrepancies) Comprehensive understanding of networking protocols and packet-level analysis, including DNS resolution workflows, TLS handshakes, TCP/IP mechanics, and packet captures via tcpdump What Will Make You Stand Out (Preferred Qualifications) Hands-on experience operating and managing FreeBSD / BSD operating systems in production Proven expertise running, scaling, and troubleshooting Kubernetes clusters in high-traffic, low-latency environments and workflow orchestration platforms (Temporal or similar) Deep experience with Prometheus / OpenTelemetry ecosystems, or leveraging AI/ML frameworks/AIOps tools for automated root-cause analysis Zscaler's salary ranges are benchmarked and are determined by role and level. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations and could be higher or lower based on a multitude of factors, including job-related skills, experience, and relevant education or training. The base salary range listed for this full-time position excludes commission/ bonus/ equity (if applicable) + benefits. Base Pay Range $119,000-$170,000 USD At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure. Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including: Various health plans Time off plans for vacation and sick time Parental leave options Retirement options Education reimbursement In-office perks, and more! Learn more about Zscaler's hybrid working model and benefits here. By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines. Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link. Pay Transparency Zscaler complies with all applicable federal, state, and local pay transparency rules. Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.
09/23/2026
Full time
Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange ️ platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 160+ public exchanges globally and thousands of private exchanges at the edge, the SASE-based Zero Trust Exchange is the world's largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world's hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Staff Site Reliability Engineer (Production Engineer) to join our team. This is a hybrid role (onsite three days a week in San Jose, CA or another Zscaler office; remote can be considered for exceptional candidates) reporting to the Senior Manager, Site Reliability Engineering in the Zero Trust Exchange department. As a key member of the Zero Trust Exchange team, you will own the systems-level reliability and performance of Zscaler's high-throughput bare-metal and cloud infrastructure processing tens of billions of daily transactions across a global, multi-region fleet. This is a software-first SRE role: you will write production-grade code and automation, drive the shift from reactive incident response, and bring engineering discipline to the systems-level work - OS, network and application debugging - that keeps the fleet operating safely at scale. What You'll Do (Role Expectations) Maintain high availability across large-scale bare-metal Linux/BSD fleets, Kubernetes clusters, and custom routing stacks in partnership with Engineering and Networking teams Lead full-cycle incident response by conducting cross-stack troubleshooting using low-level OS and network tools (strace, lsof, tcpdump, iostat, vmstat, gdb), maintain high availability across large-scale bare metal Linux /BSD fleets and Kubernetes clusters Automate infrastructure lifecycle management, service provisioning, configuration workflows, and release deployments using Ansible, Python, and Go; quantify operational toil and convert recurring manual work into durable, version-controlled, testable automation - tracking reduction as an engineering outcome Own end-to-end telemetry (metrics, logs, traces) using Prometheus and OpenTelemetry ecosystems; define and enforce SLOs/error budgets to reduce alert noise Perform architectural reviews, OS/kernel upgrades, capacity and performance tuning, strict CI/CD validation prior to production rollouts; embed operability standards (telemetry, rollback safety, SLO readiness) into service design from the start Who You Are (Success Profile) You thrive in ambiguity. You're comfortable building the path as you walk it, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful. You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution. You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact. You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback-knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust. You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose. What We're Looking For (Minimum Qualifications) US Citizenship is required (due to the nature of assigned customers) Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain 5+ years of experience in Site Reliability Engineering, Production Engineering, or Systems Engineering operating high-scale, low-latency production platforms Proven ability to write and debug executable code live (Python, Go, or Bash) covering core logic/data structures, along with hands-on experience writing Ansible playbooks/tasks for infrastructure automation Deep knowledge of Linux OS internals and kernel troubleshooting (e.g., inodes, open file descriptors, process states, and analyzing df vs du storage discrepancies) Comprehensive understanding of networking protocols and packet-level analysis, including DNS resolution workflows, TLS handshakes, TCP/IP mechanics, and packet captures via tcpdump What Will Make You Stand Out (Preferred Qualifications) Hands-on experience operating and managing FreeBSD / BSD operating systems in production Proven expertise running, scaling, and troubleshooting Kubernetes clusters in high-traffic, low-latency environments and workflow orchestration platforms (Temporal or similar) Deep experience with Prometheus / OpenTelemetry ecosystems, or leveraging AI/ML frameworks/AIOps tools for automated root-cause analysis Zscaler's salary ranges are benchmarked and are determined by role and level. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations and could be higher or lower based on a multitude of factors, including job-related skills, experience, and relevant education or training. The base salary range listed for this full-time position excludes commission/ bonus/ equity (if applicable) + benefits. Base Pay Range $119,000-$170,000 USD At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure. Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including: Various health plans Time off plans for vacation and sick time Parental leave options Retirement options Education reimbursement In-office perks, and more! Learn more about Zscaler's hybrid working model and benefits here. By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines. Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link. Pay Transparency Zscaler complies with all applicable federal, state, and local pay transparency rules. Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.
Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange ️ platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 160+ public exchanges globally and thousands of private exchanges at the edge, the SASE-based Zero Trust Exchange is the world's largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world's hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Staff Site Reliability Engineer (Production Engineer) to join our team. This is a hybrid role (onsite three days a week in San Jose, CA or another Zscaler office; remote can be considered for exceptional candidates) reporting to the Senior Manager, Site Reliability Engineering in the Zero Trust Exchange department. As a key member of the Zero Trust Exchange team, you will own the systems-level reliability and performance of Zscaler's high-throughput bare-metal and cloud infrastructure processing tens of billions of daily transactions across a global, multi-region fleet. This is a software-first SRE role: you will write production-grade code and automation, drive the shift from reactive incident response, and bring engineering discipline to the systems-level work - OS, network and application debugging - that keeps the fleet operating safely at scale. What You'll Do (Role Expectations) Maintain high availability across large-scale bare-metal Linux/BSD fleets, Kubernetes clusters, and custom routing stacks in partnership with Engineering and Networking teams Lead full-cycle incident response by conducting cross-stack troubleshooting using low-level OS and network tools (strace, lsof, tcpdump, iostat, vmstat, gdb), maintain high availability across large-scale bare metal Linux /BSD fleets and Kubernetes clusters Automate infrastructure lifecycle management, service provisioning, configuration workflows, and release deployments using Ansible, Python, and Go; quantify operational toil and convert recurring manual work into durable, version-controlled, testable automation - tracking reduction as an engineering outcome Own end-to-end telemetry (metrics, logs, traces) using Prometheus and OpenTelemetry ecosystems; define and enforce SLOs/error budgets to reduce alert noise Perform architectural reviews, OS/kernel upgrades, capacity and performance tuning, strict CI/CD validation prior to production rollouts; embed operability standards (telemetry, rollback safety, SLO readiness) into service design from the start Who You Are (Success Profile) You thrive in ambiguity. You're comfortable building the path as you walk it, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful. You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution. You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact. You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback-knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust. You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose. What We're Looking For (Minimum Qualifications) US Citizenship is required (due to the nature of assigned customers) Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain 5+ years of experience in Site Reliability Engineering, Production Engineering, or Systems Engineering operating high-scale, low-latency production platforms Proven ability to write and debug executable code live (Python, Go, or Bash) covering core logic/data structures, along with hands-on experience writing Ansible playbooks/tasks for infrastructure automation Deep knowledge of Linux OS internals and kernel troubleshooting (e.g., inodes, open file descriptors, process states, and analyzing df vs du storage discrepancies) Comprehensive understanding of networking protocols and packet-level analysis, including DNS resolution workflows, TLS handshakes, TCP/IP mechanics, and packet captures via tcpdump What Will Make You Stand Out (Preferred Qualifications) Hands-on experience operating and managing FreeBSD / BSD operating systems in production Proven expertise running, scaling, and troubleshooting Kubernetes clusters in high-traffic, low-latency environments and workflow orchestration platforms (Temporal or similar) Deep experience with Prometheus / OpenTelemetry ecosystems, or leveraging AI/ML frameworks/AIOps tools for automated root-cause analysis Zscaler's salary ranges are benchmarked and are determined by role and level. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations and could be higher or lower based on a multitude of factors, including job-related skills, experience, and relevant education or training. The base salary range listed for this full-time position excludes commission/ bonus/ equity (if applicable) + benefits. Base Pay Range $119,000-$170,000 USD At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure. Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including: Various health plans Time off plans for vacation and sick time Parental leave options Retirement options Education reimbursement In-office perks, and more! Learn more about Zscaler's hybrid working model and benefits here. By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines. Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link. Pay Transparency Zscaler complies with all applicable federal, state, and local pay transparency rules. Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.
09/23/2026
Full time
Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange ️ platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 160+ public exchanges globally and thousands of private exchanges at the edge, the SASE-based Zero Trust Exchange is the world's largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world's hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Staff Site Reliability Engineer (Production Engineer) to join our team. This is a hybrid role (onsite three days a week in San Jose, CA or another Zscaler office; remote can be considered for exceptional candidates) reporting to the Senior Manager, Site Reliability Engineering in the Zero Trust Exchange department. As a key member of the Zero Trust Exchange team, you will own the systems-level reliability and performance of Zscaler's high-throughput bare-metal and cloud infrastructure processing tens of billions of daily transactions across a global, multi-region fleet. This is a software-first SRE role: you will write production-grade code and automation, drive the shift from reactive incident response, and bring engineering discipline to the systems-level work - OS, network and application debugging - that keeps the fleet operating safely at scale. What You'll Do (Role Expectations) Maintain high availability across large-scale bare-metal Linux/BSD fleets, Kubernetes clusters, and custom routing stacks in partnership with Engineering and Networking teams Lead full-cycle incident response by conducting cross-stack troubleshooting using low-level OS and network tools (strace, lsof, tcpdump, iostat, vmstat, gdb), maintain high availability across large-scale bare metal Linux /BSD fleets and Kubernetes clusters Automate infrastructure lifecycle management, service provisioning, configuration workflows, and release deployments using Ansible, Python, and Go; quantify operational toil and convert recurring manual work into durable, version-controlled, testable automation - tracking reduction as an engineering outcome Own end-to-end telemetry (metrics, logs, traces) using Prometheus and OpenTelemetry ecosystems; define and enforce SLOs/error budgets to reduce alert noise Perform architectural reviews, OS/kernel upgrades, capacity and performance tuning, strict CI/CD validation prior to production rollouts; embed operability standards (telemetry, rollback safety, SLO readiness) into service design from the start Who You Are (Success Profile) You thrive in ambiguity. You're comfortable building the path as you walk it, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful. You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution. You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact. You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback-knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust. You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose. What We're Looking For (Minimum Qualifications) US Citizenship is required (due to the nature of assigned customers) Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain 5+ years of experience in Site Reliability Engineering, Production Engineering, or Systems Engineering operating high-scale, low-latency production platforms Proven ability to write and debug executable code live (Python, Go, or Bash) covering core logic/data structures, along with hands-on experience writing Ansible playbooks/tasks for infrastructure automation Deep knowledge of Linux OS internals and kernel troubleshooting (e.g., inodes, open file descriptors, process states, and analyzing df vs du storage discrepancies) Comprehensive understanding of networking protocols and packet-level analysis, including DNS resolution workflows, TLS handshakes, TCP/IP mechanics, and packet captures via tcpdump What Will Make You Stand Out (Preferred Qualifications) Hands-on experience operating and managing FreeBSD / BSD operating systems in production Proven expertise running, scaling, and troubleshooting Kubernetes clusters in high-traffic, low-latency environments and workflow orchestration platforms (Temporal or similar) Deep experience with Prometheus / OpenTelemetry ecosystems, or leveraging AI/ML frameworks/AIOps tools for automated root-cause analysis Zscaler's salary ranges are benchmarked and are determined by role and level. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations and could be higher or lower based on a multitude of factors, including job-related skills, experience, and relevant education or training. The base salary range listed for this full-time position excludes commission/ bonus/ equity (if applicable) + benefits. Base Pay Range $119,000-$170,000 USD At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure. Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including: Various health plans Time off plans for vacation and sick time Parental leave options Retirement options Education reimbursement In-office perks, and more! Learn more about Zscaler's hybrid working model and benefits here. By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines. Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link. Pay Transparency Zscaler complies with all applicable federal, state, and local pay transparency rules. Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.
Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange ️ platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 160+ public exchanges globally and thousands of private exchanges at the edge, the SASE-based Zero Trust Exchange is the world's largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world's hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Staff Site Reliability Engineer (Production Engineer) to join our team. This is a hybrid role (onsite three days a week in San Jose, CA or another Zscaler office; remote can be considered for exceptional candidates) reporting to the Senior Manager, Site Reliability Engineering in the Zero Trust Exchange department. As a key member of the Zero Trust Exchange team, you will own the systems-level reliability and performance of Zscaler's high-throughput bare-metal and cloud infrastructure processing tens of billions of daily transactions across a global, multi-region fleet. This is a software-first SRE role: you will write production-grade code and automation, drive the shift from reactive incident response, and bring engineering discipline to the systems-level work - OS, network and application debugging - that keeps the fleet operating safely at scale. What You'll Do (Role Expectations) Maintain high availability across large-scale bare-metal Linux/BSD fleets, Kubernetes clusters, and custom routing stacks in partnership with Engineering and Networking teams Lead full-cycle incident response by conducting cross-stack troubleshooting using low-level OS and network tools (strace, lsof, tcpdump, iostat, vmstat, gdb), maintain high availability across large-scale bare metal Linux /BSD fleets and Kubernetes clusters Automate infrastructure lifecycle management, service provisioning, configuration workflows, and release deployments using Ansible, Python, and Go; quantify operational toil and convert recurring manual work into durable, version-controlled, testable automation - tracking reduction as an engineering outcome Own end-to-end telemetry (metrics, logs, traces) using Prometheus and OpenTelemetry ecosystems; define and enforce SLOs/error budgets to reduce alert noise Perform architectural reviews, OS/kernel upgrades, capacity and performance tuning, strict CI/CD validation prior to production rollouts; embed operability standards (telemetry, rollback safety, SLO readiness) into service design from the start Who You Are (Success Profile) You thrive in ambiguity. You're comfortable building the path as you walk it, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful. You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution. You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact. You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback-knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust. You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose. What We're Looking For (Minimum Qualifications) US Citizenship is required (due to the nature of assigned customers) Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain 5+ years of experience in Site Reliability Engineering, Production Engineering, or Systems Engineering operating high-scale, low-latency production platforms Proven ability to write and debug executable code live (Python, Go, or Bash) covering core logic/data structures, along with hands-on experience writing Ansible playbooks/tasks for infrastructure automation Deep knowledge of Linux OS internals and kernel troubleshooting (e.g., inodes, open file descriptors, process states, and analyzing df vs du storage discrepancies) Comprehensive understanding of networking protocols and packet-level analysis, including DNS resolution workflows, TLS handshakes, TCP/IP mechanics, and packet captures via tcpdump What Will Make You Stand Out (Preferred Qualifications) Hands-on experience operating and managing FreeBSD / BSD operating systems in production Proven expertise running, scaling, and troubleshooting Kubernetes clusters in high-traffic, low-latency environments and workflow orchestration platforms (Temporal or similar) Deep experience with Prometheus / OpenTelemetry ecosystems, or leveraging AI/ML frameworks/AIOps tools for automated root-cause analysis Zscaler's salary ranges are benchmarked and are determined by role and level. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations and could be higher or lower based on a multitude of factors, including job-related skills, experience, and relevant education or training. The base salary range listed for this full-time position excludes commission/ bonus/ equity (if applicable) + benefits. Base Pay Range $119,000-$170,000 USD At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure. Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including: Various health plans Time off plans for vacation and sick time Parental leave options Retirement options Education reimbursement In-office perks, and more! Learn more about Zscaler's hybrid working model and benefits here. By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines. Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link. Pay Transparency Zscaler complies with all applicable federal, state, and local pay transparency rules. Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.
09/23/2026
Full time
Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange ️ platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 160+ public exchanges globally and thousands of private exchanges at the edge, the SASE-based Zero Trust Exchange is the world's largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world's hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Staff Site Reliability Engineer (Production Engineer) to join our team. This is a hybrid role (onsite three days a week in San Jose, CA or another Zscaler office; remote can be considered for exceptional candidates) reporting to the Senior Manager, Site Reliability Engineering in the Zero Trust Exchange department. As a key member of the Zero Trust Exchange team, you will own the systems-level reliability and performance of Zscaler's high-throughput bare-metal and cloud infrastructure processing tens of billions of daily transactions across a global, multi-region fleet. This is a software-first SRE role: you will write production-grade code and automation, drive the shift from reactive incident response, and bring engineering discipline to the systems-level work - OS, network and application debugging - that keeps the fleet operating safely at scale. What You'll Do (Role Expectations) Maintain high availability across large-scale bare-metal Linux/BSD fleets, Kubernetes clusters, and custom routing stacks in partnership with Engineering and Networking teams Lead full-cycle incident response by conducting cross-stack troubleshooting using low-level OS and network tools (strace, lsof, tcpdump, iostat, vmstat, gdb), maintain high availability across large-scale bare metal Linux /BSD fleets and Kubernetes clusters Automate infrastructure lifecycle management, service provisioning, configuration workflows, and release deployments using Ansible, Python, and Go; quantify operational toil and convert recurring manual work into durable, version-controlled, testable automation - tracking reduction as an engineering outcome Own end-to-end telemetry (metrics, logs, traces) using Prometheus and OpenTelemetry ecosystems; define and enforce SLOs/error budgets to reduce alert noise Perform architectural reviews, OS/kernel upgrades, capacity and performance tuning, strict CI/CD validation prior to production rollouts; embed operability standards (telemetry, rollback safety, SLO readiness) into service design from the start Who You Are (Success Profile) You thrive in ambiguity. You're comfortable building the path as you walk it, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful. You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution. You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact. You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback-knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust. You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose. What We're Looking For (Minimum Qualifications) US Citizenship is required (due to the nature of assigned customers) Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain 5+ years of experience in Site Reliability Engineering, Production Engineering, or Systems Engineering operating high-scale, low-latency production platforms Proven ability to write and debug executable code live (Python, Go, or Bash) covering core logic/data structures, along with hands-on experience writing Ansible playbooks/tasks for infrastructure automation Deep knowledge of Linux OS internals and kernel troubleshooting (e.g., inodes, open file descriptors, process states, and analyzing df vs du storage discrepancies) Comprehensive understanding of networking protocols and packet-level analysis, including DNS resolution workflows, TLS handshakes, TCP/IP mechanics, and packet captures via tcpdump What Will Make You Stand Out (Preferred Qualifications) Hands-on experience operating and managing FreeBSD / BSD operating systems in production Proven expertise running, scaling, and troubleshooting Kubernetes clusters in high-traffic, low-latency environments and workflow orchestration platforms (Temporal or similar) Deep experience with Prometheus / OpenTelemetry ecosystems, or leveraging AI/ML frameworks/AIOps tools for automated root-cause analysis Zscaler's salary ranges are benchmarked and are determined by role and level. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations and could be higher or lower based on a multitude of factors, including job-related skills, experience, and relevant education or training. The base salary range listed for this full-time position excludes commission/ bonus/ equity (if applicable) + benefits. Base Pay Range $119,000-$170,000 USD At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure. Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including: Various health plans Time off plans for vacation and sick time Parental leave options Retirement options Education reimbursement In-office perks, and more! Learn more about Zscaler's hybrid working model and benefits here. By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines. Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link. Pay Transparency Zscaler complies with all applicable federal, state, and local pay transparency rules. Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.
Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange ️ platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 160+ public exchanges globally and thousands of private exchanges at the edge, the SASE-based Zero Trust Exchange is the world's largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world's hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Staff Site Reliability Engineer (Production Engineer) to join our team. This is a hybrid role (onsite three days a week in San Jose, CA or another Zscaler office; remote can be considered for exceptional candidates) reporting to the Senior Manager, Site Reliability Engineering in the Zero Trust Exchange department. As a key member of the Zero Trust Exchange team, you will own the systems-level reliability and performance of Zscaler's high-throughput bare-metal and cloud infrastructure processing tens of billions of daily transactions across a global, multi-region fleet. This is a software-first SRE role: you will write production-grade code and automation, drive the shift from reactive incident response, and bring engineering discipline to the systems-level work - OS, network and application debugging - that keeps the fleet operating safely at scale. What You'll Do (Role Expectations) Maintain high availability across large-scale bare-metal Linux/BSD fleets, Kubernetes clusters, and custom routing stacks in partnership with Engineering and Networking teams Lead full-cycle incident response by conducting cross-stack troubleshooting using low-level OS and network tools (strace, lsof, tcpdump, iostat, vmstat, gdb), maintain high availability across large-scale bare metal Linux /BSD fleets and Kubernetes clusters Automate infrastructure lifecycle management, service provisioning, configuration workflows, and release deployments using Ansible, Python, and Go; quantify operational toil and convert recurring manual work into durable, version-controlled, testable automation - tracking reduction as an engineering outcome Own end-to-end telemetry (metrics, logs, traces) using Prometheus and OpenTelemetry ecosystems; define and enforce SLOs/error budgets to reduce alert noise Perform architectural reviews, OS/kernel upgrades, capacity and performance tuning, strict CI/CD validation prior to production rollouts; embed operability standards (telemetry, rollback safety, SLO readiness) into service design from the start Who You Are (Success Profile) You thrive in ambiguity. You're comfortable building the path as you walk it, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful. You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution. You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact. You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback-knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust. You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose. What We're Looking For (Minimum Qualifications) US Citizenship is required (due to the nature of assigned customers) Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain 5+ years of experience in Site Reliability Engineering, Production Engineering, or Systems Engineering operating high-scale, low-latency production platforms Proven ability to write and debug executable code live (Python, Go, or Bash) covering core logic/data structures, along with hands-on experience writing Ansible playbooks/tasks for infrastructure automation Deep knowledge of Linux OS internals and kernel troubleshooting (e.g., inodes, open file descriptors, process states, and analyzing df vs du storage discrepancies) Comprehensive understanding of networking protocols and packet-level analysis, including DNS resolution workflows, TLS handshakes, TCP/IP mechanics, and packet captures via tcpdump What Will Make You Stand Out (Preferred Qualifications) Hands-on experience operating and managing FreeBSD / BSD operating systems in production Proven expertise running, scaling, and troubleshooting Kubernetes clusters in high-traffic, low-latency environments and workflow orchestration platforms (Temporal or similar) Deep experience with Prometheus / OpenTelemetry ecosystems, or leveraging AI/ML frameworks/AIOps tools for automated root-cause analysis Zscaler's salary ranges are benchmarked and are determined by role and level. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations and could be higher or lower based on a multitude of factors, including job-related skills, experience, and relevant education or training. The base salary range listed for this full-time position excludes commission/ bonus/ equity (if applicable) + benefits. Base Pay Range $119,000-$170,000 USD At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure. Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including: Various health plans Time off plans for vacation and sick time Parental leave options Retirement options Education reimbursement In-office perks, and more! Learn more about Zscaler's hybrid working model and benefits here. By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines. Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link. Pay Transparency Zscaler complies with all applicable federal, state, and local pay transparency rules. Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.
09/23/2026
Full time
Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange ️ platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 160+ public exchanges globally and thousands of private exchanges at the edge, the SASE-based Zero Trust Exchange is the world's largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world's hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Staff Site Reliability Engineer (Production Engineer) to join our team. This is a hybrid role (onsite three days a week in San Jose, CA or another Zscaler office; remote can be considered for exceptional candidates) reporting to the Senior Manager, Site Reliability Engineering in the Zero Trust Exchange department. As a key member of the Zero Trust Exchange team, you will own the systems-level reliability and performance of Zscaler's high-throughput bare-metal and cloud infrastructure processing tens of billions of daily transactions across a global, multi-region fleet. This is a software-first SRE role: you will write production-grade code and automation, drive the shift from reactive incident response, and bring engineering discipline to the systems-level work - OS, network and application debugging - that keeps the fleet operating safely at scale. What You'll Do (Role Expectations) Maintain high availability across large-scale bare-metal Linux/BSD fleets, Kubernetes clusters, and custom routing stacks in partnership with Engineering and Networking teams Lead full-cycle incident response by conducting cross-stack troubleshooting using low-level OS and network tools (strace, lsof, tcpdump, iostat, vmstat, gdb), maintain high availability across large-scale bare metal Linux /BSD fleets and Kubernetes clusters Automate infrastructure lifecycle management, service provisioning, configuration workflows, and release deployments using Ansible, Python, and Go; quantify operational toil and convert recurring manual work into durable, version-controlled, testable automation - tracking reduction as an engineering outcome Own end-to-end telemetry (metrics, logs, traces) using Prometheus and OpenTelemetry ecosystems; define and enforce SLOs/error budgets to reduce alert noise Perform architectural reviews, OS/kernel upgrades, capacity and performance tuning, strict CI/CD validation prior to production rollouts; embed operability standards (telemetry, rollback safety, SLO readiness) into service design from the start Who You Are (Success Profile) You thrive in ambiguity. You're comfortable building the path as you walk it, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful. You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution. You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact. You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback-knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust. You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose. What We're Looking For (Minimum Qualifications) US Citizenship is required (due to the nature of assigned customers) Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain 5+ years of experience in Site Reliability Engineering, Production Engineering, or Systems Engineering operating high-scale, low-latency production platforms Proven ability to write and debug executable code live (Python, Go, or Bash) covering core logic/data structures, along with hands-on experience writing Ansible playbooks/tasks for infrastructure automation Deep knowledge of Linux OS internals and kernel troubleshooting (e.g., inodes, open file descriptors, process states, and analyzing df vs du storage discrepancies) Comprehensive understanding of networking protocols and packet-level analysis, including DNS resolution workflows, TLS handshakes, TCP/IP mechanics, and packet captures via tcpdump What Will Make You Stand Out (Preferred Qualifications) Hands-on experience operating and managing FreeBSD / BSD operating systems in production Proven expertise running, scaling, and troubleshooting Kubernetes clusters in high-traffic, low-latency environments and workflow orchestration platforms (Temporal or similar) Deep experience with Prometheus / OpenTelemetry ecosystems, or leveraging AI/ML frameworks/AIOps tools for automated root-cause analysis Zscaler's salary ranges are benchmarked and are determined by role and level. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations and could be higher or lower based on a multitude of factors, including job-related skills, experience, and relevant education or training. The base salary range listed for this full-time position excludes commission/ bonus/ equity (if applicable) + benefits. Base Pay Range $119,000-$170,000 USD At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure. Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including: Various health plans Time off plans for vacation and sick time Parental leave options Retirement options Education reimbursement In-office perks, and more! Learn more about Zscaler's hybrid working model and benefits here. By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines. Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link. Pay Transparency Zscaler complies with all applicable federal, state, and local pay transparency rules. Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.
Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange ️ platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 160+ public exchanges globally and thousands of private exchanges at the edge, the SASE-based Zero Trust Exchange is the world's largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world's hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Staff Site Reliability Engineer (Production Engineer) to join our team. This is a hybrid role (onsite three days a week in San Jose, CA or another Zscaler office; remote can be considered for exceptional candidates) reporting to the Senior Manager, Site Reliability Engineering in the Zero Trust Exchange department. As a key member of the Zero Trust Exchange team, you will own the systems-level reliability and performance of Zscaler's high-throughput bare-metal and cloud infrastructure processing tens of billions of daily transactions across a global, multi-region fleet. This is a software-first SRE role: you will write production-grade code and automation, drive the shift from reactive incident response, and bring engineering discipline to the systems-level work - OS, network and application debugging - that keeps the fleet operating safely at scale. What You'll Do (Role Expectations) Maintain high availability across large-scale bare-metal Linux/BSD fleets, Kubernetes clusters, and custom routing stacks in partnership with Engineering and Networking teams Lead full-cycle incident response by conducting cross-stack troubleshooting using low-level OS and network tools (strace, lsof, tcpdump, iostat, vmstat, gdb), maintain high availability across large-scale bare metal Linux /BSD fleets and Kubernetes clusters Automate infrastructure lifecycle management, service provisioning, configuration workflows, and release deployments using Ansible, Python, and Go; quantify operational toil and convert recurring manual work into durable, version-controlled, testable automation - tracking reduction as an engineering outcome Own end-to-end telemetry (metrics, logs, traces) using Prometheus and OpenTelemetry ecosystems; define and enforce SLOs/error budgets to reduce alert noise Perform architectural reviews, OS/kernel upgrades, capacity and performance tuning, strict CI/CD validation prior to production rollouts; embed operability standards (telemetry, rollback safety, SLO readiness) into service design from the start Who You Are (Success Profile) You thrive in ambiguity. You're comfortable building the path as you walk it, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful. You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution. You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact. You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback-knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust. You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose. What We're Looking For (Minimum Qualifications) US Citizenship is required (due to the nature of assigned customers) Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain 5+ years of experience in Site Reliability Engineering, Production Engineering, or Systems Engineering operating high-scale, low-latency production platforms Proven ability to write and debug executable code live (Python, Go, or Bash) covering core logic/data structures, along with hands-on experience writing Ansible playbooks/tasks for infrastructure automation Deep knowledge of Linux OS internals and kernel troubleshooting (e.g., inodes, open file descriptors, process states, and analyzing df vs du storage discrepancies) Comprehensive understanding of networking protocols and packet-level analysis, including DNS resolution workflows, TLS handshakes, TCP/IP mechanics, and packet captures via tcpdump What Will Make You Stand Out (Preferred Qualifications) Hands-on experience operating and managing FreeBSD / BSD operating systems in production Proven expertise running, scaling, and troubleshooting Kubernetes clusters in high-traffic, low-latency environments and workflow orchestration platforms (Temporal or similar) Deep experience with Prometheus / OpenTelemetry ecosystems, or leveraging AI/ML frameworks/AIOps tools for automated root-cause analysis Zscaler's salary ranges are benchmarked and are determined by role and level. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations and could be higher or lower based on a multitude of factors, including job-related skills, experience, and relevant education or training. The base salary range listed for this full-time position excludes commission/ bonus/ equity (if applicable) + benefits. Base Pay Range $119,000-$170,000 USD At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure. Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including: Various health plans Time off plans for vacation and sick time Parental leave options Retirement options Education reimbursement In-office perks, and more! Learn more about Zscaler's hybrid working model and benefits here. By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines. Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link. Pay Transparency Zscaler complies with all applicable federal, state, and local pay transparency rules. Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.
09/23/2026
Full time
Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange ️ platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 160+ public exchanges globally and thousands of private exchanges at the edge, the SASE-based Zero Trust Exchange is the world's largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world's hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Staff Site Reliability Engineer (Production Engineer) to join our team. This is a hybrid role (onsite three days a week in San Jose, CA or another Zscaler office; remote can be considered for exceptional candidates) reporting to the Senior Manager, Site Reliability Engineering in the Zero Trust Exchange department. As a key member of the Zero Trust Exchange team, you will own the systems-level reliability and performance of Zscaler's high-throughput bare-metal and cloud infrastructure processing tens of billions of daily transactions across a global, multi-region fleet. This is a software-first SRE role: you will write production-grade code and automation, drive the shift from reactive incident response, and bring engineering discipline to the systems-level work - OS, network and application debugging - that keeps the fleet operating safely at scale. What You'll Do (Role Expectations) Maintain high availability across large-scale bare-metal Linux/BSD fleets, Kubernetes clusters, and custom routing stacks in partnership with Engineering and Networking teams Lead full-cycle incident response by conducting cross-stack troubleshooting using low-level OS and network tools (strace, lsof, tcpdump, iostat, vmstat, gdb), maintain high availability across large-scale bare metal Linux /BSD fleets and Kubernetes clusters Automate infrastructure lifecycle management, service provisioning, configuration workflows, and release deployments using Ansible, Python, and Go; quantify operational toil and convert recurring manual work into durable, version-controlled, testable automation - tracking reduction as an engineering outcome Own end-to-end telemetry (metrics, logs, traces) using Prometheus and OpenTelemetry ecosystems; define and enforce SLOs/error budgets to reduce alert noise Perform architectural reviews, OS/kernel upgrades, capacity and performance tuning, strict CI/CD validation prior to production rollouts; embed operability standards (telemetry, rollback safety, SLO readiness) into service design from the start Who You Are (Success Profile) You thrive in ambiguity. You're comfortable building the path as you walk it, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful. You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution. You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact. You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback-knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust. You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose. What We're Looking For (Minimum Qualifications) US Citizenship is required (due to the nature of assigned customers) Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain 5+ years of experience in Site Reliability Engineering, Production Engineering, or Systems Engineering operating high-scale, low-latency production platforms Proven ability to write and debug executable code live (Python, Go, or Bash) covering core logic/data structures, along with hands-on experience writing Ansible playbooks/tasks for infrastructure automation Deep knowledge of Linux OS internals and kernel troubleshooting (e.g., inodes, open file descriptors, process states, and analyzing df vs du storage discrepancies) Comprehensive understanding of networking protocols and packet-level analysis, including DNS resolution workflows, TLS handshakes, TCP/IP mechanics, and packet captures via tcpdump What Will Make You Stand Out (Preferred Qualifications) Hands-on experience operating and managing FreeBSD / BSD operating systems in production Proven expertise running, scaling, and troubleshooting Kubernetes clusters in high-traffic, low-latency environments and workflow orchestration platforms (Temporal or similar) Deep experience with Prometheus / OpenTelemetry ecosystems, or leveraging AI/ML frameworks/AIOps tools for automated root-cause analysis Zscaler's salary ranges are benchmarked and are determined by role and level. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations and could be higher or lower based on a multitude of factors, including job-related skills, experience, and relevant education or training. The base salary range listed for this full-time position excludes commission/ bonus/ equity (if applicable) + benefits. Base Pay Range $119,000-$170,000 USD At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure. Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including: Various health plans Time off plans for vacation and sick time Parental leave options Retirement options Education reimbursement In-office perks, and more! Learn more about Zscaler's hybrid working model and benefits here. By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines. Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link. Pay Transparency Zscaler complies with all applicable federal, state, and local pay transparency rules. Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.
Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange ️ platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 160+ public exchanges globally and thousands of private exchanges at the edge, the SASE-based Zero Trust Exchange is the world's largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world's hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Staff Site Reliability Engineer (Production Engineer) to join our team. This is a hybrid role (onsite three days a week in San Jose, CA or another Zscaler office; remote can be considered for exceptional candidates) reporting to the Senior Manager, Site Reliability Engineering in the Zero Trust Exchange department. As a key member of the Zero Trust Exchange team, you will own the systems-level reliability and performance of Zscaler's high-throughput bare-metal and cloud infrastructure processing tens of billions of daily transactions across a global, multi-region fleet. This is a software-first SRE role: you will write production-grade code and automation, drive the shift from reactive incident response, and bring engineering discipline to the systems-level work - OS, network and application debugging - that keeps the fleet operating safely at scale. What You'll Do (Role Expectations) Maintain high availability across large-scale bare-metal Linux/BSD fleets, Kubernetes clusters, and custom routing stacks in partnership with Engineering and Networking teams Lead full-cycle incident response by conducting cross-stack troubleshooting using low-level OS and network tools (strace, lsof, tcpdump, iostat, vmstat, gdb), maintain high availability across large-scale bare metal Linux /BSD fleets and Kubernetes clusters Automate infrastructure lifecycle management, service provisioning, configuration workflows, and release deployments using Ansible, Python, and Go; quantify operational toil and convert recurring manual work into durable, version-controlled, testable automation - tracking reduction as an engineering outcome Own end-to-end telemetry (metrics, logs, traces) using Prometheus and OpenTelemetry ecosystems; define and enforce SLOs/error budgets to reduce alert noise Perform architectural reviews, OS/kernel upgrades, capacity and performance tuning, strict CI/CD validation prior to production rollouts; embed operability standards (telemetry, rollback safety, SLO readiness) into service design from the start Who You Are (Success Profile) You thrive in ambiguity. You're comfortable building the path as you walk it, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful. You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution. You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact. You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback-knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust. You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose. What We're Looking For (Minimum Qualifications) US Citizenship is required (due to the nature of assigned customers) Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain 5+ years of experience in Site Reliability Engineering, Production Engineering, or Systems Engineering operating high-scale, low-latency production platforms Proven ability to write and debug executable code live (Python, Go, or Bash) covering core logic/data structures, along with hands-on experience writing Ansible playbooks/tasks for infrastructure automation Deep knowledge of Linux OS internals and kernel troubleshooting (e.g., inodes, open file descriptors, process states, and analyzing df vs du storage discrepancies) Comprehensive understanding of networking protocols and packet-level analysis, including DNS resolution workflows, TLS handshakes, TCP/IP mechanics, and packet captures via tcpdump What Will Make You Stand Out (Preferred Qualifications) Hands-on experience operating and managing FreeBSD / BSD operating systems in production Proven expertise running, scaling, and troubleshooting Kubernetes clusters in high-traffic, low-latency environments and workflow orchestration platforms (Temporal or similar) Deep experience with Prometheus / OpenTelemetry ecosystems, or leveraging AI/ML frameworks/AIOps tools for automated root-cause analysis Zscaler's salary ranges are benchmarked and are determined by role and level. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations and could be higher or lower based on a multitude of factors, including job-related skills, experience, and relevant education or training. The base salary range listed for this full-time position excludes commission/ bonus/ equity (if applicable) + benefits. Base Pay Range $119,000-$170,000 USD At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure. Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including: Various health plans Time off plans for vacation and sick time Parental leave options Retirement options Education reimbursement In-office perks, and more! Learn more about Zscaler's hybrid working model and benefits here. By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines. Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link. Pay Transparency Zscaler complies with all applicable federal, state, and local pay transparency rules. Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.
09/23/2026
Full time
Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange ️ platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 160+ public exchanges globally and thousands of private exchanges at the edge, the SASE-based Zero Trust Exchange is the world's largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world's hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Staff Site Reliability Engineer (Production Engineer) to join our team. This is a hybrid role (onsite three days a week in San Jose, CA or another Zscaler office; remote can be considered for exceptional candidates) reporting to the Senior Manager, Site Reliability Engineering in the Zero Trust Exchange department. As a key member of the Zero Trust Exchange team, you will own the systems-level reliability and performance of Zscaler's high-throughput bare-metal and cloud infrastructure processing tens of billions of daily transactions across a global, multi-region fleet. This is a software-first SRE role: you will write production-grade code and automation, drive the shift from reactive incident response, and bring engineering discipline to the systems-level work - OS, network and application debugging - that keeps the fleet operating safely at scale. What You'll Do (Role Expectations) Maintain high availability across large-scale bare-metal Linux/BSD fleets, Kubernetes clusters, and custom routing stacks in partnership with Engineering and Networking teams Lead full-cycle incident response by conducting cross-stack troubleshooting using low-level OS and network tools (strace, lsof, tcpdump, iostat, vmstat, gdb), maintain high availability across large-scale bare metal Linux /BSD fleets and Kubernetes clusters Automate infrastructure lifecycle management, service provisioning, configuration workflows, and release deployments using Ansible, Python, and Go; quantify operational toil and convert recurring manual work into durable, version-controlled, testable automation - tracking reduction as an engineering outcome Own end-to-end telemetry (metrics, logs, traces) using Prometheus and OpenTelemetry ecosystems; define and enforce SLOs/error budgets to reduce alert noise Perform architectural reviews, OS/kernel upgrades, capacity and performance tuning, strict CI/CD validation prior to production rollouts; embed operability standards (telemetry, rollback safety, SLO readiness) into service design from the start Who You Are (Success Profile) You thrive in ambiguity. You're comfortable building the path as you walk it, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful. You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution. You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact. You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback-knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust. You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose. What We're Looking For (Minimum Qualifications) US Citizenship is required (due to the nature of assigned customers) Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain 5+ years of experience in Site Reliability Engineering, Production Engineering, or Systems Engineering operating high-scale, low-latency production platforms Proven ability to write and debug executable code live (Python, Go, or Bash) covering core logic/data structures, along with hands-on experience writing Ansible playbooks/tasks for infrastructure automation Deep knowledge of Linux OS internals and kernel troubleshooting (e.g., inodes, open file descriptors, process states, and analyzing df vs du storage discrepancies) Comprehensive understanding of networking protocols and packet-level analysis, including DNS resolution workflows, TLS handshakes, TCP/IP mechanics, and packet captures via tcpdump What Will Make You Stand Out (Preferred Qualifications) Hands-on experience operating and managing FreeBSD / BSD operating systems in production Proven expertise running, scaling, and troubleshooting Kubernetes clusters in high-traffic, low-latency environments and workflow orchestration platforms (Temporal or similar) Deep experience with Prometheus / OpenTelemetry ecosystems, or leveraging AI/ML frameworks/AIOps tools for automated root-cause analysis Zscaler's salary ranges are benchmarked and are determined by role and level. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations and could be higher or lower based on a multitude of factors, including job-related skills, experience, and relevant education or training. The base salary range listed for this full-time position excludes commission/ bonus/ equity (if applicable) + benefits. Base Pay Range $119,000-$170,000 USD At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure. Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including: Various health plans Time off plans for vacation and sick time Parental leave options Retirement options Education reimbursement In-office perks, and more! Learn more about Zscaler's hybrid working model and benefits here. By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines. Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link. Pay Transparency Zscaler complies with all applicable federal, state, and local pay transparency rules. Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.
Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange ️ platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 160+ public exchanges globally and thousands of private exchanges at the edge, the SASE-based Zero Trust Exchange is the world's largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world's hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Staff Site Reliability Engineer (Production Engineer) to join our team. This is a hybrid role (onsite three days a week in San Jose, CA or another Zscaler office; remote can be considered for exceptional candidates) reporting to the Senior Manager, Site Reliability Engineering in the Zero Trust Exchange department. As a key member of the Zero Trust Exchange team, you will own the systems-level reliability and performance of Zscaler's high-throughput bare-metal and cloud infrastructure processing tens of billions of daily transactions across a global, multi-region fleet. This is a software-first SRE role: you will write production-grade code and automation, drive the shift from reactive incident response, and bring engineering discipline to the systems-level work - OS, network and application debugging - that keeps the fleet operating safely at scale. What You'll Do (Role Expectations) Maintain high availability across large-scale bare-metal Linux/BSD fleets, Kubernetes clusters, and custom routing stacks in partnership with Engineering and Networking teams Lead full-cycle incident response by conducting cross-stack troubleshooting using low-level OS and network tools (strace, lsof, tcpdump, iostat, vmstat, gdb), maintain high availability across large-scale bare metal Linux /BSD fleets and Kubernetes clusters Automate infrastructure lifecycle management, service provisioning, configuration workflows, and release deployments using Ansible, Python, and Go; quantify operational toil and convert recurring manual work into durable, version-controlled, testable automation - tracking reduction as an engineering outcome Own end-to-end telemetry (metrics, logs, traces) using Prometheus and OpenTelemetry ecosystems; define and enforce SLOs/error budgets to reduce alert noise Perform architectural reviews, OS/kernel upgrades, capacity and performance tuning, strict CI/CD validation prior to production rollouts; embed operability standards (telemetry, rollback safety, SLO readiness) into service design from the start Who You Are (Success Profile) You thrive in ambiguity. You're comfortable building the path as you walk it, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful. You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution. You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact. You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback-knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust. You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose. What We're Looking For (Minimum Qualifications) US Citizenship is required (due to the nature of assigned customers) Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain 5+ years of experience in Site Reliability Engineering, Production Engineering, or Systems Engineering operating high-scale, low-latency production platforms Proven ability to write and debug executable code live (Python, Go, or Bash) covering core logic/data structures, along with hands-on experience writing Ansible playbooks/tasks for infrastructure automation Deep knowledge of Linux OS internals and kernel troubleshooting (e.g., inodes, open file descriptors, process states, and analyzing df vs du storage discrepancies) Comprehensive understanding of networking protocols and packet-level analysis, including DNS resolution workflows, TLS handshakes, TCP/IP mechanics, and packet captures via tcpdump What Will Make You Stand Out (Preferred Qualifications) Hands-on experience operating and managing FreeBSD / BSD operating systems in production Proven expertise running, scaling, and troubleshooting Kubernetes clusters in high-traffic, low-latency environments and workflow orchestration platforms (Temporal or similar) Deep experience with Prometheus / OpenTelemetry ecosystems, or leveraging AI/ML frameworks/AIOps tools for automated root-cause analysis Zscaler's salary ranges are benchmarked and are determined by role and level. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations and could be higher or lower based on a multitude of factors, including job-related skills, experience, and relevant education or training. The base salary range listed for this full-time position excludes commission/ bonus/ equity (if applicable) + benefits. Base Pay Range $119,000-$170,000 USD At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure. Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including: Various health plans Time off plans for vacation and sick time Parental leave options Retirement options Education reimbursement In-office perks, and more! Learn more about Zscaler's hybrid working model and benefits here. By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines. Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link. Pay Transparency Zscaler complies with all applicable federal, state, and local pay transparency rules. Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.
09/23/2026
Full time
Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange ️ platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 160+ public exchanges globally and thousands of private exchanges at the edge, the SASE-based Zero Trust Exchange is the world's largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world's hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Staff Site Reliability Engineer (Production Engineer) to join our team. This is a hybrid role (onsite three days a week in San Jose, CA or another Zscaler office; remote can be considered for exceptional candidates) reporting to the Senior Manager, Site Reliability Engineering in the Zero Trust Exchange department. As a key member of the Zero Trust Exchange team, you will own the systems-level reliability and performance of Zscaler's high-throughput bare-metal and cloud infrastructure processing tens of billions of daily transactions across a global, multi-region fleet. This is a software-first SRE role: you will write production-grade code and automation, drive the shift from reactive incident response, and bring engineering discipline to the systems-level work - OS, network and application debugging - that keeps the fleet operating safely at scale. What You'll Do (Role Expectations) Maintain high availability across large-scale bare-metal Linux/BSD fleets, Kubernetes clusters, and custom routing stacks in partnership with Engineering and Networking teams Lead full-cycle incident response by conducting cross-stack troubleshooting using low-level OS and network tools (strace, lsof, tcpdump, iostat, vmstat, gdb), maintain high availability across large-scale bare metal Linux /BSD fleets and Kubernetes clusters Automate infrastructure lifecycle management, service provisioning, configuration workflows, and release deployments using Ansible, Python, and Go; quantify operational toil and convert recurring manual work into durable, version-controlled, testable automation - tracking reduction as an engineering outcome Own end-to-end telemetry (metrics, logs, traces) using Prometheus and OpenTelemetry ecosystems; define and enforce SLOs/error budgets to reduce alert noise Perform architectural reviews, OS/kernel upgrades, capacity and performance tuning, strict CI/CD validation prior to production rollouts; embed operability standards (telemetry, rollback safety, SLO readiness) into service design from the start Who You Are (Success Profile) You thrive in ambiguity. You're comfortable building the path as you walk it, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful. You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution. You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact. You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback-knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust. You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose. What We're Looking For (Minimum Qualifications) US Citizenship is required (due to the nature of assigned customers) Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain 5+ years of experience in Site Reliability Engineering, Production Engineering, or Systems Engineering operating high-scale, low-latency production platforms Proven ability to write and debug executable code live (Python, Go, or Bash) covering core logic/data structures, along with hands-on experience writing Ansible playbooks/tasks for infrastructure automation Deep knowledge of Linux OS internals and kernel troubleshooting (e.g., inodes, open file descriptors, process states, and analyzing df vs du storage discrepancies) Comprehensive understanding of networking protocols and packet-level analysis, including DNS resolution workflows, TLS handshakes, TCP/IP mechanics, and packet captures via tcpdump What Will Make You Stand Out (Preferred Qualifications) Hands-on experience operating and managing FreeBSD / BSD operating systems in production Proven expertise running, scaling, and troubleshooting Kubernetes clusters in high-traffic, low-latency environments and workflow orchestration platforms (Temporal or similar) Deep experience with Prometheus / OpenTelemetry ecosystems, or leveraging AI/ML frameworks/AIOps tools for automated root-cause analysis Zscaler's salary ranges are benchmarked and are determined by role and level. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations and could be higher or lower based on a multitude of factors, including job-related skills, experience, and relevant education or training. The base salary range listed for this full-time position excludes commission/ bonus/ equity (if applicable) + benefits. Base Pay Range $119,000-$170,000 USD At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure. Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including: Various health plans Time off plans for vacation and sick time Parental leave options Retirement options Education reimbursement In-office perks, and more! Learn more about Zscaler's hybrid working model and benefits here. By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines. Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link. Pay Transparency Zscaler complies with all applicable federal, state, and local pay transparency rules. Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.
As a Senior DevOps Engineer, you will be a key technical contributor responsible for designing, implementing, and operating scalable, resilient infrastructure and CI/CD pipelines that support the full software development lifecycle. You will work closely with Wolters Kluwer Product Teams to embed DevOps best practices into agile workflows, enabling continuous integration, automated testing, and reliable deployment across environments. In this role, you will focus on hands on engineering excellence-building, automating, and operating cloud native platforms that improve system reliability, performance, and maintainability. You will partner closely with application development teams to bridge development and operations, supporting microservices, containerized workloads, and cloud native architectures. While not a formal people manager, you will act as a senior technical mentor and role model, promoting engineering rigor, code as infrastructure, and continuous improvement. Responsibilities Design, engineer, and automate secure, scalable cloud infrastructure in Azure and AWS using Infrastructure as Code (IaC) tools such as Terraform, Ansible, and Jenkins, applying software engineering best practices including modular design, version control, and automated testing. Implement and maintain Infrastructure as Code and CI/CD pipelines, contributing reusable modules, templates, and patterns that improve consistency and reliability across teams. Design and implement modern compute platforms, including containerized and serverless solutions (AKS, EKS, Docker, Azure Functions), with an emphasis on scalability, maintainability, and performance. Build and maintain CI/CD pipelines as software products, ensuring strong test coverage, artifact management, promotion workflows, and deployment automation across multiple environments. Support and evolve cloud native architectures, applying engineering principles such as abstraction, decoupling, fault isolation, and observability. Implement observability solutions using metrics, logging, and tracing to enable proactive issue detection, faster troubleshooting, and root cause analysis. Ensure infrastructure and automation solutions comply with enterprise DevOps, security, and compliance standards, contributing to architectural reviews and governance processes. Serve as a senior technical mentor, providing guidance through code reviews, design discussions, and knowledge sharing-without direct people management responsibilities. Evaluate and prototype emerging tools and technologies, applying engineering rigor to assess value, performance, and integration feasibility. Apply Site Reliability Engineering (SRE) practices such as SLIs/SLOs, error budgets, capacity planning, and incident response to improve system reliability and reduce operational toil. Deploy, operate, and support business critical applications, ensuring high availability, fault tolerance, and performance optimization. Participate in modernization initiatives, supporting the re architecture and cloud native transformation of legacy platforms. Identify and remediate engineering inefficiencies by proposing and implementing automation and architectural improvements. Participate in post incident reviews, contributing to blameless root cause analysis and long term corrective actions. Participate in on call rotations, continuously improving alert quality, reducing noise, and automating remediation where possible. Qualifications Bachelor's degree in Engineering, Computer Science, or a related field (Master's degree preferred). 5+ years of experience in DevOps, Site Reliability Engineering, Release Engineering, or related roles, with strong hands on software engineering experience. Strong background in software development, with experience in languages such as Python, .NET, or Java. Proven experience working with cloud platforms (Azure and AWS). Proficiency in scripting languages such as PowerShell and Bash. Solid understanding of core Azure and AWS services (PaaS, IaaS, SaaS). Strong experience with source control and automation tools, including Git. Hands on experience with Infrastructure as Code tools such as Terraform or CloudFormation. Experience building and operating CI/CD pipelines using tools such as Azure DevOps, Jenkins, or similar platforms. Strong problem solving skills with attention to detail and operational excellence. Ability to clearly communicate technical concepts to engineers and non engineering stakeholders. Demonstrated commitment to DevOps culture, including continuous integration, automated testing, deployment automation, and full lifecycle ownership. Experience building or supporting observability platforms and defining operational best practices. Experience troubleshooting and automating diagnostics across Linux and Windows environments. Our Interview Practices To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we're getting to know you-not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process. Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process. Compensation: $92,700.00 - $161,850.00 USDThis role is eligible for Bonus. Compensation range listed is based on primary location of the position. Actual base salary offer is influenced by a wide array of factors including but not limited to skills, experience and actual hiring location. Your recruiter can share more information about the specific offer for the job location during the hiring process. Additional Information: Wolters Kluwer offers a wide variety of competitive benefits and programs to help meet your needs and balance your work and personal life, including but not limited to: Medical, Dental, & Vision Plans, 401(k), FSA/HSA, Commuter Benefits, Tuition Assistance Plan, Vacation and Sick Time, and Paid Parental Leave. Full details of our benefits are available upon request.
09/23/2026
Full time
As a Senior DevOps Engineer, you will be a key technical contributor responsible for designing, implementing, and operating scalable, resilient infrastructure and CI/CD pipelines that support the full software development lifecycle. You will work closely with Wolters Kluwer Product Teams to embed DevOps best practices into agile workflows, enabling continuous integration, automated testing, and reliable deployment across environments. In this role, you will focus on hands on engineering excellence-building, automating, and operating cloud native platforms that improve system reliability, performance, and maintainability. You will partner closely with application development teams to bridge development and operations, supporting microservices, containerized workloads, and cloud native architectures. While not a formal people manager, you will act as a senior technical mentor and role model, promoting engineering rigor, code as infrastructure, and continuous improvement. Responsibilities Design, engineer, and automate secure, scalable cloud infrastructure in Azure and AWS using Infrastructure as Code (IaC) tools such as Terraform, Ansible, and Jenkins, applying software engineering best practices including modular design, version control, and automated testing. Implement and maintain Infrastructure as Code and CI/CD pipelines, contributing reusable modules, templates, and patterns that improve consistency and reliability across teams. Design and implement modern compute platforms, including containerized and serverless solutions (AKS, EKS, Docker, Azure Functions), with an emphasis on scalability, maintainability, and performance. Build and maintain CI/CD pipelines as software products, ensuring strong test coverage, artifact management, promotion workflows, and deployment automation across multiple environments. Support and evolve cloud native architectures, applying engineering principles such as abstraction, decoupling, fault isolation, and observability. Implement observability solutions using metrics, logging, and tracing to enable proactive issue detection, faster troubleshooting, and root cause analysis. Ensure infrastructure and automation solutions comply with enterprise DevOps, security, and compliance standards, contributing to architectural reviews and governance processes. Serve as a senior technical mentor, providing guidance through code reviews, design discussions, and knowledge sharing-without direct people management responsibilities. Evaluate and prototype emerging tools and technologies, applying engineering rigor to assess value, performance, and integration feasibility. Apply Site Reliability Engineering (SRE) practices such as SLIs/SLOs, error budgets, capacity planning, and incident response to improve system reliability and reduce operational toil. Deploy, operate, and support business critical applications, ensuring high availability, fault tolerance, and performance optimization. Participate in modernization initiatives, supporting the re architecture and cloud native transformation of legacy platforms. Identify and remediate engineering inefficiencies by proposing and implementing automation and architectural improvements. Participate in post incident reviews, contributing to blameless root cause analysis and long term corrective actions. Participate in on call rotations, continuously improving alert quality, reducing noise, and automating remediation where possible. Qualifications Bachelor's degree in Engineering, Computer Science, or a related field (Master's degree preferred). 5+ years of experience in DevOps, Site Reliability Engineering, Release Engineering, or related roles, with strong hands on software engineering experience. Strong background in software development, with experience in languages such as Python, .NET, or Java. Proven experience working with cloud platforms (Azure and AWS). Proficiency in scripting languages such as PowerShell and Bash. Solid understanding of core Azure and AWS services (PaaS, IaaS, SaaS). Strong experience with source control and automation tools, including Git. Hands on experience with Infrastructure as Code tools such as Terraform or CloudFormation. Experience building and operating CI/CD pipelines using tools such as Azure DevOps, Jenkins, or similar platforms. Strong problem solving skills with attention to detail and operational excellence. Ability to clearly communicate technical concepts to engineers and non engineering stakeholders. Demonstrated commitment to DevOps culture, including continuous integration, automated testing, deployment automation, and full lifecycle ownership. Experience building or supporting observability platforms and defining operational best practices. Experience troubleshooting and automating diagnostics across Linux and Windows environments. Our Interview Practices To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we're getting to know you-not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process. Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process. Compensation: $92,700.00 - $161,850.00 USDThis role is eligible for Bonus. Compensation range listed is based on primary location of the position. Actual base salary offer is influenced by a wide array of factors including but not limited to skills, experience and actual hiring location. Your recruiter can share more information about the specific offer for the job location during the hiring process. Additional Information: Wolters Kluwer offers a wide variety of competitive benefits and programs to help meet your needs and balance your work and personal life, including but not limited to: Medical, Dental, & Vision Plans, 401(k), FSA/HSA, Commuter Benefits, Tuition Assistance Plan, Vacation and Sick Time, and Paid Parental Leave. Full details of our benefits are available upon request.
As a Senior DevOps Engineer, you will be a key technical contributor responsible for designing, implementing, and operating scalable, resilient infrastructure and CI/CD pipelines that support the full software development lifecycle. You will work closely with Wolters Kluwer Product Teams to embed DevOps best practices into agile workflows, enabling continuous integration, automated testing, and reliable deployment across environments. In this role, you will focus on hands on engineering excellence-building, automating, and operating cloud native platforms that improve system reliability, performance, and maintainability. You will partner closely with application development teams to bridge development and operations, supporting microservices, containerized workloads, and cloud native architectures. While not a formal people manager, you will act as a senior technical mentor and role model, promoting engineering rigor, code as infrastructure, and continuous improvement. Responsibilities Design, engineer, and automate secure, scalable cloud infrastructure in Azure and AWS using Infrastructure as Code (IaC) tools such as Terraform, Ansible, and Jenkins, applying software engineering best practices including modular design, version control, and automated testing. Implement and maintain Infrastructure as Code and CI/CD pipelines, contributing reusable modules, templates, and patterns that improve consistency and reliability across teams. Design and implement modern compute platforms, including containerized and serverless solutions (AKS, EKS, Docker, Azure Functions), with an emphasis on scalability, maintainability, and performance. Build and maintain CI/CD pipelines as software products, ensuring strong test coverage, artifact management, promotion workflows, and deployment automation across multiple environments. Support and evolve cloud native architectures, applying engineering principles such as abstraction, decoupling, fault isolation, and observability. Implement observability solutions using metrics, logging, and tracing to enable proactive issue detection, faster troubleshooting, and root cause analysis. Ensure infrastructure and automation solutions comply with enterprise DevOps, security, and compliance standards, contributing to architectural reviews and governance processes. Serve as a senior technical mentor, providing guidance through code reviews, design discussions, and knowledge sharing-without direct people management responsibilities. Evaluate and prototype emerging tools and technologies, applying engineering rigor to assess value, performance, and integration feasibility. Apply Site Reliability Engineering (SRE) practices such as SLIs/SLOs, error budgets, capacity planning, and incident response to improve system reliability and reduce operational toil. Deploy, operate, and support business critical applications, ensuring high availability, fault tolerance, and performance optimization. Participate in modernization initiatives, supporting the re architecture and cloud native transformation of legacy platforms. Identify and remediate engineering inefficiencies by proposing and implementing automation and architectural improvements. Participate in post incident reviews, contributing to blameless root cause analysis and long term corrective actions. Participate in on call rotations, continuously improving alert quality, reducing noise, and automating remediation where possible. Qualifications Bachelor's degree in Engineering, Computer Science, or a related field (Master's degree preferred). 5+ years of experience in DevOps, Site Reliability Engineering, Release Engineering, or related roles, with strong hands on software engineering experience. Strong background in software development, with experience in languages such as Python, .NET, or Java. Proven experience working with cloud platforms (Azure and AWS). Proficiency in scripting languages such as PowerShell and Bash. Solid understanding of core Azure and AWS services (PaaS, IaaS, SaaS). Strong experience with source control and automation tools, including Git. Hands on experience with Infrastructure as Code tools such as Terraform or CloudFormation. Experience building and operating CI/CD pipelines using tools such as Azure DevOps, Jenkins, or similar platforms. Strong problem solving skills with attention to detail and operational excellence. Ability to clearly communicate technical concepts to engineers and non engineering stakeholders. Demonstrated commitment to DevOps culture, including continuous integration, automated testing, deployment automation, and full lifecycle ownership. Experience building or supporting observability platforms and defining operational best practices. Experience troubleshooting and automating diagnostics across Linux and Windows environments. Our Interview Practices To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we're getting to know you-not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process. Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process. Compensation: $92,700.00 - $161,850.00 USDThis role is eligible for Bonus. Compensation range listed is based on primary location of the position. Actual base salary offer is influenced by a wide array of factors including but not limited to skills, experience and actual hiring location. Your recruiter can share more information about the specific offer for the job location during the hiring process. Additional Information: Wolters Kluwer offers a wide variety of competitive benefits and programs to help meet your needs and balance your work and personal life, including but not limited to: Medical, Dental, & Vision Plans, 401(k), FSA/HSA, Commuter Benefits, Tuition Assistance Plan, Vacation and Sick Time, and Paid Parental Leave. Full details of our benefits are available upon request.
09/23/2026
Full time
As a Senior DevOps Engineer, you will be a key technical contributor responsible for designing, implementing, and operating scalable, resilient infrastructure and CI/CD pipelines that support the full software development lifecycle. You will work closely with Wolters Kluwer Product Teams to embed DevOps best practices into agile workflows, enabling continuous integration, automated testing, and reliable deployment across environments. In this role, you will focus on hands on engineering excellence-building, automating, and operating cloud native platforms that improve system reliability, performance, and maintainability. You will partner closely with application development teams to bridge development and operations, supporting microservices, containerized workloads, and cloud native architectures. While not a formal people manager, you will act as a senior technical mentor and role model, promoting engineering rigor, code as infrastructure, and continuous improvement. Responsibilities Design, engineer, and automate secure, scalable cloud infrastructure in Azure and AWS using Infrastructure as Code (IaC) tools such as Terraform, Ansible, and Jenkins, applying software engineering best practices including modular design, version control, and automated testing. Implement and maintain Infrastructure as Code and CI/CD pipelines, contributing reusable modules, templates, and patterns that improve consistency and reliability across teams. Design and implement modern compute platforms, including containerized and serverless solutions (AKS, EKS, Docker, Azure Functions), with an emphasis on scalability, maintainability, and performance. Build and maintain CI/CD pipelines as software products, ensuring strong test coverage, artifact management, promotion workflows, and deployment automation across multiple environments. Support and evolve cloud native architectures, applying engineering principles such as abstraction, decoupling, fault isolation, and observability. Implement observability solutions using metrics, logging, and tracing to enable proactive issue detection, faster troubleshooting, and root cause analysis. Ensure infrastructure and automation solutions comply with enterprise DevOps, security, and compliance standards, contributing to architectural reviews and governance processes. Serve as a senior technical mentor, providing guidance through code reviews, design discussions, and knowledge sharing-without direct people management responsibilities. Evaluate and prototype emerging tools and technologies, applying engineering rigor to assess value, performance, and integration feasibility. Apply Site Reliability Engineering (SRE) practices such as SLIs/SLOs, error budgets, capacity planning, and incident response to improve system reliability and reduce operational toil. Deploy, operate, and support business critical applications, ensuring high availability, fault tolerance, and performance optimization. Participate in modernization initiatives, supporting the re architecture and cloud native transformation of legacy platforms. Identify and remediate engineering inefficiencies by proposing and implementing automation and architectural improvements. Participate in post incident reviews, contributing to blameless root cause analysis and long term corrective actions. Participate in on call rotations, continuously improving alert quality, reducing noise, and automating remediation where possible. Qualifications Bachelor's degree in Engineering, Computer Science, or a related field (Master's degree preferred). 5+ years of experience in DevOps, Site Reliability Engineering, Release Engineering, or related roles, with strong hands on software engineering experience. Strong background in software development, with experience in languages such as Python, .NET, or Java. Proven experience working with cloud platforms (Azure and AWS). Proficiency in scripting languages such as PowerShell and Bash. Solid understanding of core Azure and AWS services (PaaS, IaaS, SaaS). Strong experience with source control and automation tools, including Git. Hands on experience with Infrastructure as Code tools such as Terraform or CloudFormation. Experience building and operating CI/CD pipelines using tools such as Azure DevOps, Jenkins, or similar platforms. Strong problem solving skills with attention to detail and operational excellence. Ability to clearly communicate technical concepts to engineers and non engineering stakeholders. Demonstrated commitment to DevOps culture, including continuous integration, automated testing, deployment automation, and full lifecycle ownership. Experience building or supporting observability platforms and defining operational best practices. Experience troubleshooting and automating diagnostics across Linux and Windows environments. Our Interview Practices To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we're getting to know you-not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process. Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process. Compensation: $92,700.00 - $161,850.00 USDThis role is eligible for Bonus. Compensation range listed is based on primary location of the position. Actual base salary offer is influenced by a wide array of factors including but not limited to skills, experience and actual hiring location. Your recruiter can share more information about the specific offer for the job location during the hiring process. Additional Information: Wolters Kluwer offers a wide variety of competitive benefits and programs to help meet your needs and balance your work and personal life, including but not limited to: Medical, Dental, & Vision Plans, 401(k), FSA/HSA, Commuter Benefits, Tuition Assistance Plan, Vacation and Sick Time, and Paid Parental Leave. Full details of our benefits are available upon request.
As a Senior DevOps Engineer, you will be a key technical contributor responsible for designing, implementing, and operating scalable, resilient infrastructure and CI/CD pipelines that support the full software development lifecycle. You will work closely with Wolters Kluwer Product Teams to embed DevOps best practices into agile workflows, enabling continuous integration, automated testing, and reliable deployment across environments. In this role, you will focus on hands on engineering excellence-building, automating, and operating cloud native platforms that improve system reliability, performance, and maintainability. You will partner closely with application development teams to bridge development and operations, supporting microservices, containerized workloads, and cloud native architectures. While not a formal people manager, you will act as a senior technical mentor and role model, promoting engineering rigor, code as infrastructure, and continuous improvement. Responsibilities Design, engineer, and automate secure, scalable cloud infrastructure in Azure and AWS using Infrastructure as Code (IaC) tools such as Terraform, Ansible, and Jenkins, applying software engineering best practices including modular design, version control, and automated testing. Implement and maintain Infrastructure as Code and CI/CD pipelines, contributing reusable modules, templates, and patterns that improve consistency and reliability across teams. Design and implement modern compute platforms, including containerized and serverless solutions (AKS, EKS, Docker, Azure Functions), with an emphasis on scalability, maintainability, and performance. Build and maintain CI/CD pipelines as software products, ensuring strong test coverage, artifact management, promotion workflows, and deployment automation across multiple environments. Support and evolve cloud native architectures, applying engineering principles such as abstraction, decoupling, fault isolation, and observability. Implement observability solutions using metrics, logging, and tracing to enable proactive issue detection, faster troubleshooting, and root cause analysis. Ensure infrastructure and automation solutions comply with enterprise DevOps, security, and compliance standards, contributing to architectural reviews and governance processes. Serve as a senior technical mentor, providing guidance through code reviews, design discussions, and knowledge sharing-without direct people management responsibilities. Evaluate and prototype emerging tools and technologies, applying engineering rigor to assess value, performance, and integration feasibility. Apply Site Reliability Engineering (SRE) practices such as SLIs/SLOs, error budgets, capacity planning, and incident response to improve system reliability and reduce operational toil. Deploy, operate, and support business critical applications, ensuring high availability, fault tolerance, and performance optimization. Participate in modernization initiatives, supporting the re architecture and cloud native transformation of legacy platforms. Identify and remediate engineering inefficiencies by proposing and implementing automation and architectural improvements. Participate in post incident reviews, contributing to blameless root cause analysis and long term corrective actions. Participate in on call rotations, continuously improving alert quality, reducing noise, and automating remediation where possible. Qualifications Bachelor's degree in Engineering, Computer Science, or a related field (Master's degree preferred). 5+ years of experience in DevOps, Site Reliability Engineering, Release Engineering, or related roles, with strong hands on software engineering experience. Strong background in software development, with experience in languages such as Python, .NET, or Java. Proven experience working with cloud platforms (Azure and AWS). Proficiency in scripting languages such as PowerShell and Bash. Solid understanding of core Azure and AWS services (PaaS, IaaS, SaaS). Strong experience with source control and automation tools, including Git. Hands on experience with Infrastructure as Code tools such as Terraform or CloudFormation. Experience building and operating CI/CD pipelines using tools such as Azure DevOps, Jenkins, or similar platforms. Strong problem solving skills with attention to detail and operational excellence. Ability to clearly communicate technical concepts to engineers and non engineering stakeholders. Demonstrated commitment to DevOps culture, including continuous integration, automated testing, deployment automation, and full lifecycle ownership. Experience building or supporting observability platforms and defining operational best practices. Experience troubleshooting and automating diagnostics across Linux and Windows environments. Our Interview Practices To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we're getting to know you-not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process. Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process. Compensation: $92,700.00 - $161,850.00 USDThis role is eligible for Bonus. Compensation range listed is based on primary location of the position. Actual base salary offer is influenced by a wide array of factors including but not limited to skills, experience and actual hiring location. Your recruiter can share more information about the specific offer for the job location during the hiring process. Additional Information: Wolters Kluwer offers a wide variety of competitive benefits and programs to help meet your needs and balance your work and personal life, including but not limited to: Medical, Dental, & Vision Plans, 401(k), FSA/HSA, Commuter Benefits, Tuition Assistance Plan, Vacation and Sick Time, and Paid Parental Leave. Full details of our benefits are available upon request.
09/23/2026
Full time
As a Senior DevOps Engineer, you will be a key technical contributor responsible for designing, implementing, and operating scalable, resilient infrastructure and CI/CD pipelines that support the full software development lifecycle. You will work closely with Wolters Kluwer Product Teams to embed DevOps best practices into agile workflows, enabling continuous integration, automated testing, and reliable deployment across environments. In this role, you will focus on hands on engineering excellence-building, automating, and operating cloud native platforms that improve system reliability, performance, and maintainability. You will partner closely with application development teams to bridge development and operations, supporting microservices, containerized workloads, and cloud native architectures. While not a formal people manager, you will act as a senior technical mentor and role model, promoting engineering rigor, code as infrastructure, and continuous improvement. Responsibilities Design, engineer, and automate secure, scalable cloud infrastructure in Azure and AWS using Infrastructure as Code (IaC) tools such as Terraform, Ansible, and Jenkins, applying software engineering best practices including modular design, version control, and automated testing. Implement and maintain Infrastructure as Code and CI/CD pipelines, contributing reusable modules, templates, and patterns that improve consistency and reliability across teams. Design and implement modern compute platforms, including containerized and serverless solutions (AKS, EKS, Docker, Azure Functions), with an emphasis on scalability, maintainability, and performance. Build and maintain CI/CD pipelines as software products, ensuring strong test coverage, artifact management, promotion workflows, and deployment automation across multiple environments. Support and evolve cloud native architectures, applying engineering principles such as abstraction, decoupling, fault isolation, and observability. Implement observability solutions using metrics, logging, and tracing to enable proactive issue detection, faster troubleshooting, and root cause analysis. Ensure infrastructure and automation solutions comply with enterprise DevOps, security, and compliance standards, contributing to architectural reviews and governance processes. Serve as a senior technical mentor, providing guidance through code reviews, design discussions, and knowledge sharing-without direct people management responsibilities. Evaluate and prototype emerging tools and technologies, applying engineering rigor to assess value, performance, and integration feasibility. Apply Site Reliability Engineering (SRE) practices such as SLIs/SLOs, error budgets, capacity planning, and incident response to improve system reliability and reduce operational toil. Deploy, operate, and support business critical applications, ensuring high availability, fault tolerance, and performance optimization. Participate in modernization initiatives, supporting the re architecture and cloud native transformation of legacy platforms. Identify and remediate engineering inefficiencies by proposing and implementing automation and architectural improvements. Participate in post incident reviews, contributing to blameless root cause analysis and long term corrective actions. Participate in on call rotations, continuously improving alert quality, reducing noise, and automating remediation where possible. Qualifications Bachelor's degree in Engineering, Computer Science, or a related field (Master's degree preferred). 5+ years of experience in DevOps, Site Reliability Engineering, Release Engineering, or related roles, with strong hands on software engineering experience. Strong background in software development, with experience in languages such as Python, .NET, or Java. Proven experience working with cloud platforms (Azure and AWS). Proficiency in scripting languages such as PowerShell and Bash. Solid understanding of core Azure and AWS services (PaaS, IaaS, SaaS). Strong experience with source control and automation tools, including Git. Hands on experience with Infrastructure as Code tools such as Terraform or CloudFormation. Experience building and operating CI/CD pipelines using tools such as Azure DevOps, Jenkins, or similar platforms. Strong problem solving skills with attention to detail and operational excellence. Ability to clearly communicate technical concepts to engineers and non engineering stakeholders. Demonstrated commitment to DevOps culture, including continuous integration, automated testing, deployment automation, and full lifecycle ownership. Experience building or supporting observability platforms and defining operational best practices. Experience troubleshooting and automating diagnostics across Linux and Windows environments. Our Interview Practices To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we're getting to know you-not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process. Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process. Compensation: $92,700.00 - $161,850.00 USDThis role is eligible for Bonus. Compensation range listed is based on primary location of the position. Actual base salary offer is influenced by a wide array of factors including but not limited to skills, experience and actual hiring location. Your recruiter can share more information about the specific offer for the job location during the hiring process. Additional Information: Wolters Kluwer offers a wide variety of competitive benefits and programs to help meet your needs and balance your work and personal life, including but not limited to: Medical, Dental, & Vision Plans, 401(k), FSA/HSA, Commuter Benefits, Tuition Assistance Plan, Vacation and Sick Time, and Paid Parental Leave. Full details of our benefits are available upon request.
As a Senior DevOps Engineer, you will be a key technical contributor responsible for designing, implementing, and operating scalable, resilient infrastructure and CI/CD pipelines that support the full software development lifecycle. You will work closely with Wolters Kluwer Product Teams to embed DevOps best practices into agile workflows, enabling continuous integration, automated testing, and reliable deployment across environments. In this role, you will focus on hands on engineering excellence-building, automating, and operating cloud native platforms that improve system reliability, performance, and maintainability. You will partner closely with application development teams to bridge development and operations, supporting microservices, containerized workloads, and cloud native architectures. While not a formal people manager, you will act as a senior technical mentor and role model, promoting engineering rigor, code as infrastructure, and continuous improvement. Responsibilities Design, engineer, and automate secure, scalable cloud infrastructure in Azure and AWS using Infrastructure as Code (IaC) tools such as Terraform, Ansible, and Jenkins, applying software engineering best practices including modular design, version control, and automated testing. Implement and maintain Infrastructure as Code and CI/CD pipelines, contributing reusable modules, templates, and patterns that improve consistency and reliability across teams. Design and implement modern compute platforms, including containerized and serverless solutions (AKS, EKS, Docker, Azure Functions), with an emphasis on scalability, maintainability, and performance. Build and maintain CI/CD pipelines as software products, ensuring strong test coverage, artifact management, promotion workflows, and deployment automation across multiple environments. Support and evolve cloud native architectures, applying engineering principles such as abstraction, decoupling, fault isolation, and observability. Implement observability solutions using metrics, logging, and tracing to enable proactive issue detection, faster troubleshooting, and root cause analysis. Ensure infrastructure and automation solutions comply with enterprise DevOps, security, and compliance standards, contributing to architectural reviews and governance processes. Serve as a senior technical mentor, providing guidance through code reviews, design discussions, and knowledge sharing-without direct people management responsibilities. Evaluate and prototype emerging tools and technologies, applying engineering rigor to assess value, performance, and integration feasibility. Apply Site Reliability Engineering (SRE) practices such as SLIs/SLOs, error budgets, capacity planning, and incident response to improve system reliability and reduce operational toil. Deploy, operate, and support business critical applications, ensuring high availability, fault tolerance, and performance optimization. Participate in modernization initiatives, supporting the re architecture and cloud native transformation of legacy platforms. Identify and remediate engineering inefficiencies by proposing and implementing automation and architectural improvements. Participate in post incident reviews, contributing to blameless root cause analysis and long term corrective actions. Participate in on call rotations, continuously improving alert quality, reducing noise, and automating remediation where possible. Qualifications Bachelor's degree in Engineering, Computer Science, or a related field (Master's degree preferred). 5+ years of experience in DevOps, Site Reliability Engineering, Release Engineering, or related roles, with strong hands on software engineering experience. Strong background in software development, with experience in languages such as Python, .NET, or Java. Proven experience working with cloud platforms (Azure and AWS). Proficiency in scripting languages such as PowerShell and Bash. Solid understanding of core Azure and AWS services (PaaS, IaaS, SaaS). Strong experience with source control and automation tools, including Git. Hands on experience with Infrastructure as Code tools such as Terraform or CloudFormation. Experience building and operating CI/CD pipelines using tools such as Azure DevOps, Jenkins, or similar platforms. Strong problem solving skills with attention to detail and operational excellence. Ability to clearly communicate technical concepts to engineers and non engineering stakeholders. Demonstrated commitment to DevOps culture, including continuous integration, automated testing, deployment automation, and full lifecycle ownership. Experience building or supporting observability platforms and defining operational best practices. Experience troubleshooting and automating diagnostics across Linux and Windows environments. Our Interview Practices To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we're getting to know you-not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process. Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process. Compensation: $92,700.00 - $161,850.00 USDThis role is eligible for Bonus. Compensation range listed is based on primary location of the position. Actual base salary offer is influenced by a wide array of factors including but not limited to skills, experience and actual hiring location. Your recruiter can share more information about the specific offer for the job location during the hiring process. Additional Information: Wolters Kluwer offers a wide variety of competitive benefits and programs to help meet your needs and balance your work and personal life, including but not limited to: Medical, Dental, & Vision Plans, 401(k), FSA/HSA, Commuter Benefits, Tuition Assistance Plan, Vacation and Sick Time, and Paid Parental Leave. Full details of our benefits are available upon request.
09/23/2026
Full time
As a Senior DevOps Engineer, you will be a key technical contributor responsible for designing, implementing, and operating scalable, resilient infrastructure and CI/CD pipelines that support the full software development lifecycle. You will work closely with Wolters Kluwer Product Teams to embed DevOps best practices into agile workflows, enabling continuous integration, automated testing, and reliable deployment across environments. In this role, you will focus on hands on engineering excellence-building, automating, and operating cloud native platforms that improve system reliability, performance, and maintainability. You will partner closely with application development teams to bridge development and operations, supporting microservices, containerized workloads, and cloud native architectures. While not a formal people manager, you will act as a senior technical mentor and role model, promoting engineering rigor, code as infrastructure, and continuous improvement. Responsibilities Design, engineer, and automate secure, scalable cloud infrastructure in Azure and AWS using Infrastructure as Code (IaC) tools such as Terraform, Ansible, and Jenkins, applying software engineering best practices including modular design, version control, and automated testing. Implement and maintain Infrastructure as Code and CI/CD pipelines, contributing reusable modules, templates, and patterns that improve consistency and reliability across teams. Design and implement modern compute platforms, including containerized and serverless solutions (AKS, EKS, Docker, Azure Functions), with an emphasis on scalability, maintainability, and performance. Build and maintain CI/CD pipelines as software products, ensuring strong test coverage, artifact management, promotion workflows, and deployment automation across multiple environments. Support and evolve cloud native architectures, applying engineering principles such as abstraction, decoupling, fault isolation, and observability. Implement observability solutions using metrics, logging, and tracing to enable proactive issue detection, faster troubleshooting, and root cause analysis. Ensure infrastructure and automation solutions comply with enterprise DevOps, security, and compliance standards, contributing to architectural reviews and governance processes. Serve as a senior technical mentor, providing guidance through code reviews, design discussions, and knowledge sharing-without direct people management responsibilities. Evaluate and prototype emerging tools and technologies, applying engineering rigor to assess value, performance, and integration feasibility. Apply Site Reliability Engineering (SRE) practices such as SLIs/SLOs, error budgets, capacity planning, and incident response to improve system reliability and reduce operational toil. Deploy, operate, and support business critical applications, ensuring high availability, fault tolerance, and performance optimization. Participate in modernization initiatives, supporting the re architecture and cloud native transformation of legacy platforms. Identify and remediate engineering inefficiencies by proposing and implementing automation and architectural improvements. Participate in post incident reviews, contributing to blameless root cause analysis and long term corrective actions. Participate in on call rotations, continuously improving alert quality, reducing noise, and automating remediation where possible. Qualifications Bachelor's degree in Engineering, Computer Science, or a related field (Master's degree preferred). 5+ years of experience in DevOps, Site Reliability Engineering, Release Engineering, or related roles, with strong hands on software engineering experience. Strong background in software development, with experience in languages such as Python, .NET, or Java. Proven experience working with cloud platforms (Azure and AWS). Proficiency in scripting languages such as PowerShell and Bash. Solid understanding of core Azure and AWS services (PaaS, IaaS, SaaS). Strong experience with source control and automation tools, including Git. Hands on experience with Infrastructure as Code tools such as Terraform or CloudFormation. Experience building and operating CI/CD pipelines using tools such as Azure DevOps, Jenkins, or similar platforms. Strong problem solving skills with attention to detail and operational excellence. Ability to clearly communicate technical concepts to engineers and non engineering stakeholders. Demonstrated commitment to DevOps culture, including continuous integration, automated testing, deployment automation, and full lifecycle ownership. Experience building or supporting observability platforms and defining operational best practices. Experience troubleshooting and automating diagnostics across Linux and Windows environments. Our Interview Practices To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we're getting to know you-not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process. Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process. Compensation: $92,700.00 - $161,850.00 USDThis role is eligible for Bonus. Compensation range listed is based on primary location of the position. Actual base salary offer is influenced by a wide array of factors including but not limited to skills, experience and actual hiring location. Your recruiter can share more information about the specific offer for the job location during the hiring process. Additional Information: Wolters Kluwer offers a wide variety of competitive benefits and programs to help meet your needs and balance your work and personal life, including but not limited to: Medical, Dental, & Vision Plans, 401(k), FSA/HSA, Commuter Benefits, Tuition Assistance Plan, Vacation and Sick Time, and Paid Parental Leave. Full details of our benefits are available upon request.
As a Senior DevOps Engineer, you will be a key technical contributor responsible for designing, implementing, and operating scalable, resilient infrastructure and CI/CD pipelines that support the full software development lifecycle. You will work closely with Wolters Kluwer Product Teams to embed DevOps best practices into agile workflows, enabling continuous integration, automated testing, and reliable deployment across environments. In this role, you will focus on hands on engineering excellence-building, automating, and operating cloud native platforms that improve system reliability, performance, and maintainability. You will partner closely with application development teams to bridge development and operations, supporting microservices, containerized workloads, and cloud native architectures. While not a formal people manager, you will act as a senior technical mentor and role model, promoting engineering rigor, code as infrastructure, and continuous improvement. Responsibilities Design, engineer, and automate secure, scalable cloud infrastructure in Azure and AWS using Infrastructure as Code (IaC) tools such as Terraform, Ansible, and Jenkins, applying software engineering best practices including modular design, version control, and automated testing. Implement and maintain Infrastructure as Code and CI/CD pipelines, contributing reusable modules, templates, and patterns that improve consistency and reliability across teams. Design and implement modern compute platforms, including containerized and serverless solutions (AKS, EKS, Docker, Azure Functions), with an emphasis on scalability, maintainability, and performance. Build and maintain CI/CD pipelines as software products, ensuring strong test coverage, artifact management, promotion workflows, and deployment automation across multiple environments. Support and evolve cloud native architectures, applying engineering principles such as abstraction, decoupling, fault isolation, and observability. Implement observability solutions using metrics, logging, and tracing to enable proactive issue detection, faster troubleshooting, and root cause analysis. Ensure infrastructure and automation solutions comply with enterprise DevOps, security, and compliance standards, contributing to architectural reviews and governance processes. Serve as a senior technical mentor, providing guidance through code reviews, design discussions, and knowledge sharing-without direct people management responsibilities. Evaluate and prototype emerging tools and technologies, applying engineering rigor to assess value, performance, and integration feasibility. Apply Site Reliability Engineering (SRE) practices such as SLIs/SLOs, error budgets, capacity planning, and incident response to improve system reliability and reduce operational toil. Deploy, operate, and support business critical applications, ensuring high availability, fault tolerance, and performance optimization. Participate in modernization initiatives, supporting the re architecture and cloud native transformation of legacy platforms. Identify and remediate engineering inefficiencies by proposing and implementing automation and architectural improvements. Participate in post incident reviews, contributing to blameless root cause analysis and long term corrective actions. Participate in on call rotations, continuously improving alert quality, reducing noise, and automating remediation where possible. Qualifications Bachelor's degree in Engineering, Computer Science, or a related field (Master's degree preferred). 5+ years of experience in DevOps, Site Reliability Engineering, Release Engineering, or related roles, with strong hands on software engineering experience. Strong background in software development, with experience in languages such as Python, .NET, or Java. Proven experience working with cloud platforms (Azure and AWS). Proficiency in scripting languages such as PowerShell and Bash. Solid understanding of core Azure and AWS services (PaaS, IaaS, SaaS). Strong experience with source control and automation tools, including Git. Hands on experience with Infrastructure as Code tools such as Terraform or CloudFormation. Experience building and operating CI/CD pipelines using tools such as Azure DevOps, Jenkins, or similar platforms. Strong problem solving skills with attention to detail and operational excellence. Ability to clearly communicate technical concepts to engineers and non engineering stakeholders. Demonstrated commitment to DevOps culture, including continuous integration, automated testing, deployment automation, and full lifecycle ownership. Experience building or supporting observability platforms and defining operational best practices. Experience troubleshooting and automating diagnostics across Linux and Windows environments. Our Interview Practices To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we're getting to know you-not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process. Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process. Compensation: $92,700.00 - $161,850.00 USDThis role is eligible for Bonus. Compensation range listed is based on primary location of the position. Actual base salary offer is influenced by a wide array of factors including but not limited to skills, experience and actual hiring location. Your recruiter can share more information about the specific offer for the job location during the hiring process. Additional Information: Wolters Kluwer offers a wide variety of competitive benefits and programs to help meet your needs and balance your work and personal life, including but not limited to: Medical, Dental, & Vision Plans, 401(k), FSA/HSA, Commuter Benefits, Tuition Assistance Plan, Vacation and Sick Time, and Paid Parental Leave. Full details of our benefits are available upon request.
09/23/2026
Full time
As a Senior DevOps Engineer, you will be a key technical contributor responsible for designing, implementing, and operating scalable, resilient infrastructure and CI/CD pipelines that support the full software development lifecycle. You will work closely with Wolters Kluwer Product Teams to embed DevOps best practices into agile workflows, enabling continuous integration, automated testing, and reliable deployment across environments. In this role, you will focus on hands on engineering excellence-building, automating, and operating cloud native platforms that improve system reliability, performance, and maintainability. You will partner closely with application development teams to bridge development and operations, supporting microservices, containerized workloads, and cloud native architectures. While not a formal people manager, you will act as a senior technical mentor and role model, promoting engineering rigor, code as infrastructure, and continuous improvement. Responsibilities Design, engineer, and automate secure, scalable cloud infrastructure in Azure and AWS using Infrastructure as Code (IaC) tools such as Terraform, Ansible, and Jenkins, applying software engineering best practices including modular design, version control, and automated testing. Implement and maintain Infrastructure as Code and CI/CD pipelines, contributing reusable modules, templates, and patterns that improve consistency and reliability across teams. Design and implement modern compute platforms, including containerized and serverless solutions (AKS, EKS, Docker, Azure Functions), with an emphasis on scalability, maintainability, and performance. Build and maintain CI/CD pipelines as software products, ensuring strong test coverage, artifact management, promotion workflows, and deployment automation across multiple environments. Support and evolve cloud native architectures, applying engineering principles such as abstraction, decoupling, fault isolation, and observability. Implement observability solutions using metrics, logging, and tracing to enable proactive issue detection, faster troubleshooting, and root cause analysis. Ensure infrastructure and automation solutions comply with enterprise DevOps, security, and compliance standards, contributing to architectural reviews and governance processes. Serve as a senior technical mentor, providing guidance through code reviews, design discussions, and knowledge sharing-without direct people management responsibilities. Evaluate and prototype emerging tools and technologies, applying engineering rigor to assess value, performance, and integration feasibility. Apply Site Reliability Engineering (SRE) practices such as SLIs/SLOs, error budgets, capacity planning, and incident response to improve system reliability and reduce operational toil. Deploy, operate, and support business critical applications, ensuring high availability, fault tolerance, and performance optimization. Participate in modernization initiatives, supporting the re architecture and cloud native transformation of legacy platforms. Identify and remediate engineering inefficiencies by proposing and implementing automation and architectural improvements. Participate in post incident reviews, contributing to blameless root cause analysis and long term corrective actions. Participate in on call rotations, continuously improving alert quality, reducing noise, and automating remediation where possible. Qualifications Bachelor's degree in Engineering, Computer Science, or a related field (Master's degree preferred). 5+ years of experience in DevOps, Site Reliability Engineering, Release Engineering, or related roles, with strong hands on software engineering experience. Strong background in software development, with experience in languages such as Python, .NET, or Java. Proven experience working with cloud platforms (Azure and AWS). Proficiency in scripting languages such as PowerShell and Bash. Solid understanding of core Azure and AWS services (PaaS, IaaS, SaaS). Strong experience with source control and automation tools, including Git. Hands on experience with Infrastructure as Code tools such as Terraform or CloudFormation. Experience building and operating CI/CD pipelines using tools such as Azure DevOps, Jenkins, or similar platforms. Strong problem solving skills with attention to detail and operational excellence. Ability to clearly communicate technical concepts to engineers and non engineering stakeholders. Demonstrated commitment to DevOps culture, including continuous integration, automated testing, deployment automation, and full lifecycle ownership. Experience building or supporting observability platforms and defining operational best practices. Experience troubleshooting and automating diagnostics across Linux and Windows environments. Our Interview Practices To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we're getting to know you-not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process. Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process. Compensation: $92,700.00 - $161,850.00 USDThis role is eligible for Bonus. Compensation range listed is based on primary location of the position. Actual base salary offer is influenced by a wide array of factors including but not limited to skills, experience and actual hiring location. Your recruiter can share more information about the specific offer for the job location during the hiring process. Additional Information: Wolters Kluwer offers a wide variety of competitive benefits and programs to help meet your needs and balance your work and personal life, including but not limited to: Medical, Dental, & Vision Plans, 401(k), FSA/HSA, Commuter Benefits, Tuition Assistance Plan, Vacation and Sick Time, and Paid Parental Leave. Full details of our benefits are available upon request.
