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Senior Technology Development Operations Manager
Cooley LLP San Diego, California
Senior Technology Development Operations ManagerCooley is seeking a Senior DevOps Manager to join the Infrastructure & Development Operations team.Position summary: The Senior Technology Development Operations (DevOps)Manageris responsible for leading the team thatdesigns, architects,deploys, tests,maintains,and documents the DevOps technology stack. This stack is responsible for facilitating a secure, CI/CD-enabled, and highly availableSaaS-baseddelivery and hosting environment for Cooley's custom applications. The Senior DevOps Manager will build and deploy green-field solutions where needed, and otherwise willprimarilywork to improve theefficiency,security,and availability/reliability of the enterprise DevOps and related infrastructure. This role will workin an integrated fashion with the development teams to build in-depth knowledge of the products and code, attending daily stand-ups as needed. In addition to being technically advanced, this position will use a high degree of emotional intelligence and the ability to work as a team towards complex and layered objectives. Specific duties and responsibilities include, but are not limited to, the following:Position responsibilities: Provide experienced leadership in developing solutions for highly scalable, highly available, hybrid cloud (IaaS, PaaS, SaaS) infrastructure patterns and platform integrations across physical colocations and hyperscalers (AWS and Azure) Manage, build, configure, administer, operate, and maintain all components that comprise our DevOps environment Leverage industry standard Frameworks and Blueprints as a foundation to create best-in-class Terraform IaC module libraries Lead the evolution of our DevOps and DevSecOps practice maturity Act as a key member of the infrastructure architecture team to identify optimization opportunities throughout the infrastructure Define, document, and enforce configuration standards and governance through IaC Develop, test, deploy, and optimize DevOps IaC code deployment pipelines and practices Provision automation using CI/CD (DevOps Pipelines) and IaC (Terraform) tooling Serve as a technical escalation point Work with our development and data teams to integrate products into a DevOps-managed environment Develop and maintain scripts to automate tool/service deployments to our Hybrid Cloud environment through DevOps Pipelines and Releases Participate in software releases and deployments Contribute to the design, update, refinement, and documentation of operational processes Provide technical mentorship and educate team members as a subject matter expert on IaC, containerization, and CI/CD Brainstorm new ideas and ways to improve product delivery and efficiency Consult peer teams for feedback during the design, testing, and implementation stages Serve as direct supervisor and mentor to direct reports Provide day-to-day supervision of direct reports, ensure compliance with assigned work hours and monitor for compliance with all firm and department policies. Manage staffing coverage, review and process time logs/time off requests Support business professional development and continued educational opportunities In collaboration with immediate supervisor and HR, participate in hiring, performance appraisals, counseling, termination and other employee lifecycle events All other duties as assigned or requiredSkills and experience:Required: After orientation at Cooley LLP, exhibit proficiency in the Microsoft Office suite, iManage and other firm applications Ability to work extended and/or weekend hours, as required Ability to travel, as required 7+ years of relevant experience in cloud infrastructure and DevOps with 2+ years of exempt/management experience in relevant roles Proficiency in AWS or Azure architecture, configuration, and security Skilled in CI/CD pipeline design using Azure DevOps, Jenkins, or GitHub Actions Strong Terraform expertise, including advanced workflows and tools like Terragrunt Experience with Docker, Kubernetes, Helm, and GitOps tools (Flux, ArgoCD) Familiarity with microservices deployment and release automation Hands-on with .NET Core containers on Linux and scripting in Linux/Windows Knowledge of open-source and NoSQL databases (e.g., MS SQL, MongoDB, Elasticsearch) Experience with APM tools (Datadog, New Relic, etc.) and IaC security tools (Snyk, tfsec)Preferred: Bachelor's Degree in Computer Science, Information Technology, Engineering, or associated discipline Experience working with advanced ETL data workflows including technologies such as AWS EMR, Azure Synapse, Azure Data Factory, or Apache Hive/Spark/Airflow Supervisory experience Experience with IaC deployment of AKS/EKS/GKE architecture is highly desired Experience with enterprise Data Lake environments using technologies such as DataBricks or SnowflakeCompetencies: Expert analytical/quantitative, problem-solving, and deductive reasoning skills, with experience performing advanced troubleshooting and root cause analysis of complex technical issues Excellent organizational, planning, and time management skills and ability to work either independently or in a team environment to manage competing priorities and meet deadlines Advanced verbal and written communication skills with the ability to present findings, conclusions, alternatives, and information clearly and concisely Experience working with all levels of staff, management, stakeholders, and vendors with ability to build effective relationships through trust and diplomacyCooley offers a competitive compensation and excellent benefits package and is committed to fair and equitable employment practices.EOE.The expected annual pay range for this position with a full-time schedule is $180,000 - $255,000. Please note that final offer amount will be dependent on geographic location, applicable experience and skillset of the candidate.We offer a full range of elective benefits including medical, health savings account (with applicable medical plan), dental, vision, health and/or dependent care flexible spending accounts, pre-tax commuter benefits, life insurance, AD&D, long-term care coverage, backup care for children and/or adults and other parental support benefits. In addition to elective benefit options, benefited employees receive firm-paid life insurance, AD&D, LTD, short term medical benefits as well as 21 days of Paid Time Off ("PTO") and 10 paid holidays each year. We provide generous parental leave and fertility benefits. New employees will attend a detailed benefit orientation to learn more about our many benefits and resources.
04/02/2026
Senior Technology Development Operations ManagerCooley is seeking a Senior DevOps Manager to join the Infrastructure & Development Operations team.Position summary: The Senior Technology Development Operations (DevOps)Manageris responsible for leading the team thatdesigns, architects,deploys, tests,maintains,and documents the DevOps technology stack. This stack is responsible for facilitating a secure, CI/CD-enabled, and highly availableSaaS-baseddelivery and hosting environment for Cooley's custom applications. The Senior DevOps Manager will build and deploy green-field solutions where needed, and otherwise willprimarilywork to improve theefficiency,security,and availability/reliability of the enterprise DevOps and related infrastructure. This role will workin an integrated fashion with the development teams to build in-depth knowledge of the products and code, attending daily stand-ups as needed. In addition to being technically advanced, this position will use a high degree of emotional intelligence and the ability to work as a team towards complex and layered objectives. Specific duties and responsibilities include, but are not limited to, the following:Position responsibilities: Provide experienced leadership in developing solutions for highly scalable, highly available, hybrid cloud (IaaS, PaaS, SaaS) infrastructure patterns and platform integrations across physical colocations and hyperscalers (AWS and Azure) Manage, build, configure, administer, operate, and maintain all components that comprise our DevOps environment Leverage industry standard Frameworks and Blueprints as a foundation to create best-in-class Terraform IaC module libraries Lead the evolution of our DevOps and DevSecOps practice maturity Act as a key member of the infrastructure architecture team to identify optimization opportunities throughout the infrastructure Define, document, and enforce configuration standards and governance through IaC Develop, test, deploy, and optimize DevOps IaC code deployment pipelines and practices Provision automation using CI/CD (DevOps Pipelines) and IaC (Terraform) tooling Serve as a technical escalation point Work with our development and data teams to integrate products into a DevOps-managed environment Develop and maintain scripts to automate tool/service deployments to our Hybrid Cloud environment through DevOps Pipelines and Releases Participate in software releases and deployments Contribute to the design, update, refinement, and documentation of operational processes Provide technical mentorship and educate team members as a subject matter expert on IaC, containerization, and CI/CD Brainstorm new ideas and ways to improve product delivery and efficiency Consult peer teams for feedback during the design, testing, and implementation stages Serve as direct supervisor and mentor to direct reports Provide day-to-day supervision of direct reports, ensure compliance with assigned work hours and monitor for compliance with all firm and department policies. Manage staffing coverage, review and process time logs/time off requests Support business professional development and continued educational opportunities In collaboration with immediate supervisor and HR, participate in hiring, performance appraisals, counseling, termination and other employee lifecycle events All other duties as assigned or requiredSkills and experience:Required: After orientation at Cooley LLP, exhibit proficiency in the Microsoft Office suite, iManage and other firm applications Ability to work extended and/or weekend hours, as required Ability to travel, as required 7+ years of relevant experience in cloud infrastructure and DevOps with 2+ years of exempt/management experience in relevant roles Proficiency in AWS or Azure architecture, configuration, and security Skilled in CI/CD pipeline design using Azure DevOps, Jenkins, or GitHub Actions Strong Terraform expertise, including advanced workflows and tools like Terragrunt Experience with Docker, Kubernetes, Helm, and GitOps tools (Flux, ArgoCD) Familiarity with microservices deployment and release automation Hands-on with .NET Core containers on Linux and scripting in Linux/Windows Knowledge of open-source and NoSQL databases (e.g., MS SQL, MongoDB, Elasticsearch) Experience with APM tools (Datadog, New Relic, etc.) and IaC security tools (Snyk, tfsec)Preferred: Bachelor's Degree in Computer Science, Information Technology, Engineering, or associated discipline Experience working with advanced ETL data workflows including technologies such as AWS EMR, Azure Synapse, Azure Data Factory, or Apache Hive/Spark/Airflow Supervisory experience Experience with IaC deployment of AKS/EKS/GKE architecture is highly desired Experience with enterprise Data Lake environments using technologies such as DataBricks or SnowflakeCompetencies: Expert analytical/quantitative, problem-solving, and deductive reasoning skills, with experience performing advanced troubleshooting and root cause analysis of complex technical issues Excellent organizational, planning, and time management skills and ability to work either independently or in a team environment to manage competing priorities and meet deadlines Advanced verbal and written communication skills with the ability to present findings, conclusions, alternatives, and information clearly and concisely Experience working with all levels of staff, management, stakeholders, and vendors with ability to build effective relationships through trust and diplomacyCooley offers a competitive compensation and excellent benefits package and is committed to fair and equitable employment practices.EOE.The expected annual pay range for this position with a full-time schedule is $180,000 - $255,000. Please note that final offer amount will be dependent on geographic location, applicable experience and skillset of the candidate.We offer a full range of elective benefits including medical, health savings account (with applicable medical plan), dental, vision, health and/or dependent care flexible spending accounts, pre-tax commuter benefits, life insurance, AD&D, long-term care coverage, backup care for children and/or adults and other parental support benefits. In addition to elective benefit options, benefited employees receive firm-paid life insurance, AD&D, LTD, short term medical benefits as well as 21 days of Paid Time Off ("PTO") and 10 paid holidays each year. We provide generous parental leave and fertility benefits. New employees will attend a detailed benefit orientation to learn more about our many benefits and resources.
Mastercard
Lead BizOps Engineer
Mastercard O Fallon, Missouri
Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Lead BizOps Engineer We are seeking a Lead Data Engineer to join Mastercard Architecture & Analytics team. You will help shape our innovation roadmap by exploring new technologies and building scalable, data driven prototypes and products. The ideal candidate is hands on, curious, adaptable, and motivated to experiment and learn.What You'll Do Drive Data Architecture: Own the data architecture and modeling strategy for AI projects. Define how data is stored, organized, and accessed. Select technologies, design schemas/formats, and ensure systems support scalable AI and analytics workloads. Build Scalable Data Pipelines: Lead development of robust ETL/ELT workflows and data models. Build pipelines that move large datasets with high reliability and low latency to support training and inference for AI and generative AI systems. Ensure Data Quality & Governance: Oversee data governance and compliance with internal standards and regulations. Implement data anonymization, quality checks, lineage, and controls for handling sensitive information. Provide Technical Leadership: Offer hands on leadership across data engineering projects. Conduct code reviews, enforce best practices, and promote clean, well tested code. Introduce improvements in development processes and tooling. Cross Functional Collaboration: Work closely with engineers, scientists, and product stakeholders. Scope work, manage data deliverables in agile sprints, and ensure timely delivery of data components aligned with project milestones.What You'll Bring Extensive Data Engineering Experience: 8-12+ years in data engineering or backend engineering, including senior/lead roles. Experience designing end to end data systems, solving scale/performance challenges, integrating diverse sources, and operating pipelines in production. Big Data & Cloud Expertise: Strong skills in Python and/or Java/Scala. Deep experience with Spark, Hadoop, Hive/Impala, and Airflow. Hands on work with AWS, Azure, or GCP using cloud native processing and storage services (e.g., S3, Glue, EMR, Data Factory). Ability to design scalable, cost efficient workloads for experimental and variable R&D environments. AI/ML Data Lifecycle Knowledge: Understanding of data needs for machine learning-dataset preparation, feature/label management, and supporting real time or batch training pipelines. Experience with feature stores or streaming data is useful. Leadership & Mentorship: Ability to translate ambiguous goals into clear plans, guide engineers, and lead technical execution. Problem Solving Mindset: Approach issues systematically, using analysis and data to select scalable, maintainable solutions.Required Skills Education & Background: Bachelor's degree in Computer Science, Engineering, or related field. 8-12+ years of proven experience architecting and operating production grade data systems, especially those supporting analytics or ML workloads. Pipeline Development: Expert in ETL/ELT design and implementation, working with diverse data sources, transformations, and targets. Strong experience scheduling and orchestrating pipelines using Airflow or similar tools. Programming & Databases: Advanced Python and/or Scala/Java skills and strong software engineering fundamentals (version control, CI, code reviews). Excellent SQL abilities, including performance tuning on large datasets. Big Data Technologies: Hands on Spark experience (RDDs/DataFrames, optimization). Familiar with Hadoop components (HDFS, YARN), Hive/Impala, and streaming systems like Kafka or Kinesis. Cloud Infrastructure: Experience deploying data systems on AWS/Azure/GCP. Familiar with cloud data lakes, warehouses (Redshift, BigQuery, Snowflake), and cloud based processing engines (EMR, Dataproc, Glue, Synapse). Comfortable with Linux and shell scripting. Data Governance & Security: Knowledge of data privacy regulations, PII handling, access controls, encryption/masking, and data quality validation. Experience with metadata management or data cataloging tools is a plus. Collaboration & Agile Delivery: Strong communication skills and experience working with cross functional teams. Ability to document designs clearly and deliver iteratively using agile practices.Preferred Skills Advanced Cloud & Data Platform Expertise: Experience with AWS data engineering services, Databricks, and Lakehouse/Delta Lake architectures (including bronze/silver/gold layers). Modern Data Stack: Familiarity with dbt, Great Expectations, containerization (Docker/Kubernetes), and monitoring tools like Grafana or cloud native monitoring. DevOps & CI/CD for Data: Experience implementing CI/CD pipelines for data workflows and using IaC tools like Terraform or CloudFormation. Knowledge of data versioning (e.g., Delta Lake time travel) and supporting continuous delivery for ML systems. Continuous Learning: Motivation to explore emerging technologies, especially in AI and generative AI data workflows. Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard's security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines. In line with Mastercard's total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more. Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty leave; and on-site fitness facilities in some locations. Pay Ranges O'Fallon, Missouri: $122,000 - $207,000 USD
04/02/2026
Full time
Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Lead BizOps Engineer We are seeking a Lead Data Engineer to join Mastercard Architecture & Analytics team. You will help shape our innovation roadmap by exploring new technologies and building scalable, data driven prototypes and products. The ideal candidate is hands on, curious, adaptable, and motivated to experiment and learn.What You'll Do Drive Data Architecture: Own the data architecture and modeling strategy for AI projects. Define how data is stored, organized, and accessed. Select technologies, design schemas/formats, and ensure systems support scalable AI and analytics workloads. Build Scalable Data Pipelines: Lead development of robust ETL/ELT workflows and data models. Build pipelines that move large datasets with high reliability and low latency to support training and inference for AI and generative AI systems. Ensure Data Quality & Governance: Oversee data governance and compliance with internal standards and regulations. Implement data anonymization, quality checks, lineage, and controls for handling sensitive information. Provide Technical Leadership: Offer hands on leadership across data engineering projects. Conduct code reviews, enforce best practices, and promote clean, well tested code. Introduce improvements in development processes and tooling. Cross Functional Collaboration: Work closely with engineers, scientists, and product stakeholders. Scope work, manage data deliverables in agile sprints, and ensure timely delivery of data components aligned with project milestones.What You'll Bring Extensive Data Engineering Experience: 8-12+ years in data engineering or backend engineering, including senior/lead roles. Experience designing end to end data systems, solving scale/performance challenges, integrating diverse sources, and operating pipelines in production. Big Data & Cloud Expertise: Strong skills in Python and/or Java/Scala. Deep experience with Spark, Hadoop, Hive/Impala, and Airflow. Hands on work with AWS, Azure, or GCP using cloud native processing and storage services (e.g., S3, Glue, EMR, Data Factory). Ability to design scalable, cost efficient workloads for experimental and variable R&D environments. AI/ML Data Lifecycle Knowledge: Understanding of data needs for machine learning-dataset preparation, feature/label management, and supporting real time or batch training pipelines. Experience with feature stores or streaming data is useful. Leadership & Mentorship: Ability to translate ambiguous goals into clear plans, guide engineers, and lead technical execution. Problem Solving Mindset: Approach issues systematically, using analysis and data to select scalable, maintainable solutions.Required Skills Education & Background: Bachelor's degree in Computer Science, Engineering, or related field. 8-12+ years of proven experience architecting and operating production grade data systems, especially those supporting analytics or ML workloads. Pipeline Development: Expert in ETL/ELT design and implementation, working with diverse data sources, transformations, and targets. Strong experience scheduling and orchestrating pipelines using Airflow or similar tools. Programming & Databases: Advanced Python and/or Scala/Java skills and strong software engineering fundamentals (version control, CI, code reviews). Excellent SQL abilities, including performance tuning on large datasets. Big Data Technologies: Hands on Spark experience (RDDs/DataFrames, optimization). Familiar with Hadoop components (HDFS, YARN), Hive/Impala, and streaming systems like Kafka or Kinesis. Cloud Infrastructure: Experience deploying data systems on AWS/Azure/GCP. Familiar with cloud data lakes, warehouses (Redshift, BigQuery, Snowflake), and cloud based processing engines (EMR, Dataproc, Glue, Synapse). Comfortable with Linux and shell scripting. Data Governance & Security: Knowledge of data privacy regulations, PII handling, access controls, encryption/masking, and data quality validation. Experience with metadata management or data cataloging tools is a plus. Collaboration & Agile Delivery: Strong communication skills and experience working with cross functional teams. Ability to document designs clearly and deliver iteratively using agile practices.Preferred Skills Advanced Cloud & Data Platform Expertise: Experience with AWS data engineering services, Databricks, and Lakehouse/Delta Lake architectures (including bronze/silver/gold layers). Modern Data Stack: Familiarity with dbt, Great Expectations, containerization (Docker/Kubernetes), and monitoring tools like Grafana or cloud native monitoring. DevOps & CI/CD for Data: Experience implementing CI/CD pipelines for data workflows and using IaC tools like Terraform or CloudFormation. Knowledge of data versioning (e.g., Delta Lake time travel) and supporting continuous delivery for ML systems. Continuous Learning: Motivation to explore emerging technologies, especially in AI and generative AI data workflows. Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard's security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines. In line with Mastercard's total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more. Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty leave; and on-site fitness facilities in some locations. Pay Ranges O'Fallon, Missouri: $122,000 - $207,000 USD
Mastercard
Principal BizOps Engineer
Mastercard O Fallon, Missouri
Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Principal BizOps Engineer We are seeking a Lead Data Engineer to join Mastercard Architecture & Analytics. You will help shape our innovation roadmap by exploring new technologies and building scalable, data driven prototypes and products. The ideal candidate is hands on, curious, adaptable, and motivated to experiment and learn. What You'll Do Drive Data Architecture: Own the data architecture and modeling strategy for AI projects. Define how data is stored, organized, and accessed. Select technologies, design schemas/formats, and ensure systems support scalable AI and analytics workloads. Build Scalable Data Pipelines: Lead development of robust ETL/ELT workflows and data models. Build pipelines that move large datasets with high reliability and low latency to support training and inference for AI and generative AI systems. Ensure Data Quality & Governance: Oversee data governance and compliance with internal standards and regulations. Implement data anonymization, quality checks, lineage, and controls for handling sensitive information. Provide Technical Leadership: Offer hands on leadership across data engineering projects. Conduct code reviews, enforce best practices, and promote clean, well tested code. Introduce improvements in development processes and tooling. Cross Functional Collaboration: Work closely with engineers, scientists, and product stakeholders. Scope work, manage data deliverables in agile sprints, and ensure timely delivery of data components aligned with project milestones.What You'll Bring Extensive Data Engineering Experience: 8-12+ years in data engineering or backend engineering, including senior/lead roles. Experience designing end to end data systems, solving scale/performance challenges, integrating diverse sources, and operating pipelines in production. Big Data & Cloud Expertise: Strong skills in Python and/or Java/Scala. Deep experience with Spark, Hadoop, Hive/Impala, and Airflow. Hands on work with AWS, Azure, or GCP using cloud native processing and storage services (e.g., S3, Glue, EMR, Data Factory). Ability to design scalable, cost efficient workloads for experimental and variable R&D environments. AI/ML Data Lifecycle Knowledge: Understanding of data needs for machine learning-dataset preparation, feature/label management, and supporting real time or batch training pipelines. Experience with feature stores or streaming data is useful. Leadership & Mentorship: Ability to translate ambiguous goals into clear plans, guide engineers, and lead technical execution. Problem Solving Mindset: Approach issues systematically, using analysis and data to select scalable, maintainable solutions.Required Skills Education & Background: Bachelor's degree in Computer Science, Engineering, or related field. 8-12+ years of proven experience architecting and operating production grade data systems, especially those supporting analytics or ML workloads. Pipeline Development: Expert in ETL/ELT design and implementation, working with diverse data sources, transformations, and targets. Strong experience scheduling and orchestrating pipelines using Airflow or similar tools. Programming & Databases: Advanced Python and/or Scala/Java skills and strong software engineering fundamentals (version control, CI, code reviews). Excellent SQL abilities, including performance tuning on large datasets. Big Data Technologies: Hands on Spark experience (RDDs/DataFrames, optimization). Familiar with Hadoop components (HDFS, YARN), Hive/Impala, and streaming systems like Kafka or Kinesis. Cloud Infrastructure: Experience deploying data systems on AWS/Azure/GCP. Familiar with cloud data lakes, warehouses (Redshift, BigQuery, Snowflake), and cloud based processing engines (EMR, Dataproc, Glue, Synapse). Comfortable with Linux and shell scripting. Data Governance & Security: Knowledge of data privacy regulations, PII handling, access controls, encryption/masking, and data quality validation. Experience with metadata management or data cataloging tools is a plus. Collaboration & Agile Delivery: Strong communication skills and experience working with cross functional teams. Ability to document designs clearly and deliver iteratively using agile practices.Preferred Skills Advanced Cloud & Data Platform Expertise: Experience with AWS data engineering services, Databricks, and Lakehouse/Delta Lake architectures (including bronze/silver/gold layers). Modern Data Stack: Familiarity with dbt, Great Expectations, containerization (Docker/Kubernetes), and monitoring tools like Grafana or cloud native monitoring. DevOps & CI/CD for Data: Experience implementing CI/CD pipelines for data workflows and using IaC tools like Terraform or CloudFormation. Knowledge of data versioning (e.g., Delta Lake time travel) and supporting continuous delivery for ML systems. Continuous Learning: Motivation to explore emerging technologies, especially in AI and generative AI data workflows. Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard's security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines. In line with Mastercard's total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more. Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty leave; and on-site fitness facilities in some locations. Pay Ranges O'Fallon, Missouri: $152,000 - $258,000 USD
04/02/2026
Full time
Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Principal BizOps Engineer We are seeking a Lead Data Engineer to join Mastercard Architecture & Analytics. You will help shape our innovation roadmap by exploring new technologies and building scalable, data driven prototypes and products. The ideal candidate is hands on, curious, adaptable, and motivated to experiment and learn. What You'll Do Drive Data Architecture: Own the data architecture and modeling strategy for AI projects. Define how data is stored, organized, and accessed. Select technologies, design schemas/formats, and ensure systems support scalable AI and analytics workloads. Build Scalable Data Pipelines: Lead development of robust ETL/ELT workflows and data models. Build pipelines that move large datasets with high reliability and low latency to support training and inference for AI and generative AI systems. Ensure Data Quality & Governance: Oversee data governance and compliance with internal standards and regulations. Implement data anonymization, quality checks, lineage, and controls for handling sensitive information. Provide Technical Leadership: Offer hands on leadership across data engineering projects. Conduct code reviews, enforce best practices, and promote clean, well tested code. Introduce improvements in development processes and tooling. Cross Functional Collaboration: Work closely with engineers, scientists, and product stakeholders. Scope work, manage data deliverables in agile sprints, and ensure timely delivery of data components aligned with project milestones.What You'll Bring Extensive Data Engineering Experience: 8-12+ years in data engineering or backend engineering, including senior/lead roles. Experience designing end to end data systems, solving scale/performance challenges, integrating diverse sources, and operating pipelines in production. Big Data & Cloud Expertise: Strong skills in Python and/or Java/Scala. Deep experience with Spark, Hadoop, Hive/Impala, and Airflow. Hands on work with AWS, Azure, or GCP using cloud native processing and storage services (e.g., S3, Glue, EMR, Data Factory). Ability to design scalable, cost efficient workloads for experimental and variable R&D environments. AI/ML Data Lifecycle Knowledge: Understanding of data needs for machine learning-dataset preparation, feature/label management, and supporting real time or batch training pipelines. Experience with feature stores or streaming data is useful. Leadership & Mentorship: Ability to translate ambiguous goals into clear plans, guide engineers, and lead technical execution. Problem Solving Mindset: Approach issues systematically, using analysis and data to select scalable, maintainable solutions.Required Skills Education & Background: Bachelor's degree in Computer Science, Engineering, or related field. 8-12+ years of proven experience architecting and operating production grade data systems, especially those supporting analytics or ML workloads. Pipeline Development: Expert in ETL/ELT design and implementation, working with diverse data sources, transformations, and targets. Strong experience scheduling and orchestrating pipelines using Airflow or similar tools. Programming & Databases: Advanced Python and/or Scala/Java skills and strong software engineering fundamentals (version control, CI, code reviews). Excellent SQL abilities, including performance tuning on large datasets. Big Data Technologies: Hands on Spark experience (RDDs/DataFrames, optimization). Familiar with Hadoop components (HDFS, YARN), Hive/Impala, and streaming systems like Kafka or Kinesis. Cloud Infrastructure: Experience deploying data systems on AWS/Azure/GCP. Familiar with cloud data lakes, warehouses (Redshift, BigQuery, Snowflake), and cloud based processing engines (EMR, Dataproc, Glue, Synapse). Comfortable with Linux and shell scripting. Data Governance & Security: Knowledge of data privacy regulations, PII handling, access controls, encryption/masking, and data quality validation. Experience with metadata management or data cataloging tools is a plus. Collaboration & Agile Delivery: Strong communication skills and experience working with cross functional teams. Ability to document designs clearly and deliver iteratively using agile practices.Preferred Skills Advanced Cloud & Data Platform Expertise: Experience with AWS data engineering services, Databricks, and Lakehouse/Delta Lake architectures (including bronze/silver/gold layers). Modern Data Stack: Familiarity with dbt, Great Expectations, containerization (Docker/Kubernetes), and monitoring tools like Grafana or cloud native monitoring. DevOps & CI/CD for Data: Experience implementing CI/CD pipelines for data workflows and using IaC tools like Terraform or CloudFormation. Knowledge of data versioning (e.g., Delta Lake time travel) and supporting continuous delivery for ML systems. Continuous Learning: Motivation to explore emerging technologies, especially in AI and generative AI data workflows. Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard's security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines. In line with Mastercard's total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more. Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty leave; and on-site fitness facilities in some locations. Pay Ranges O'Fallon, Missouri: $152,000 - $258,000 USD
L3Harris Technologies
Specialist, Cloud Information Security Systems Engineer
L3Harris Technologies Melbourne, Florida
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Specialist, Cloud Information Systems Security Engineer Job Code: 34754 Job Location: Melbourne, FL Job Schedule: 9/80: Employees work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off Job Description: L3Harris is seeking a highly qualified Information Security Systems Engineer (ISSE) with strong cloud security expertise to join the Network Security Engineering Team supporting secure managed network and cloud solutions for federal government and enterprise customers. The ideal candidate is a technically strong ISSE with strong AWS security experience, capable of designing, implementing, and operationalizing security controls across cloud-native applications and infrastructure. This role partners closely with Engineering, DevOps, and Architecture teams to embed security throughout the Software Development Lifecycle (SDLC), automate controls within CI/CD pipelines, and ensure alignment with industry standards and regulatory requirements. The successful candidate will bring hands-on experience securing AWS environments and integrating DevSecOps practices to deliver scalable, resilient, and compliant cloud capabilities. This is a 100% on-site position at the L3Harris offices in Melbourne, Florida. Remote work is not permitted. Essential Functions: Contribute to Security Systems Engineering activities supporting the design, integration, and implementation of secure network and cloud architectures aligned with enterprise and regulatory requirements. Design and secure AWS cloud and hybrid architectures, including IAM, VPC networking, containers (EKS/ECS/Fargate), and serverless (Lambda), aligned to Zero Trust principles. Integrate security into Agile development and SDLC processes by defining cybersecurity requirements, implementing secure coding practices, and deploying application security controls (SAST, DAST, SCA, container scanning, API security). Automate and enforce security controls within DevSecOps pipelines using Infrastructure-as-Code (Terraform, CloudFormation), policy-as-code, and CI/CD platforms (GitHub, GitLab, Jenkins, CodePipeline). Implement and manage cloud-native logging, monitoring, and detection capabilities (CloudTrail, GuardDuty, Security Hub, Config) and support incident response and automated remediation. Support compliance and risk management initiatives (NIST 800-53, ISO 27001, SOC 2, FedRAMP, GDPR) through secure baseline management, control implementation, and remediation tracking. Collaborate with Systems Integration & Test (SI&T) and cross-functional engineering teams to validate security controls and maintain required documentation. Ability to obtain FAA Public Trust Clearance. Qualifications: Bachelor's Degree and minimum 4 years of prior relevant experience. Graduate Degree and a minimum of 2 years of prior related experience. In lieu of a degree, minimum of 8 years of prior related experience. Preferred Additional Skills: VPC architecture, encryption in transit/at rest). 4+ years of experience in network and platform security. Experience securing containerized environments (Docker, Kubernetes) and implementing DevSecOps practices within CI/CD pipelines. Strong scripting and automation skills (Python, Bash, PowerShell) with Git-based version control experience. Experience operationalizing security automation to support continuous monitoring, vulnerability management, and compliance validation. Strong knowledge of secure architecture principles, networking technologies, Zero Trust, and SASE models. Experience securing enterprise infrastructure within regulated environments (e.g., Government, Financial Services, Healthcare), including NIST and FISMA compliance. Expertise in threat modeling, risk analysis, and cross-functional collaboration with engineering and executive stakeholders. Relevant certifications such as AWS Certified Security - Specialty, AWS Certified Solutions Architect - Professional, CISSP, CCSP, CSSLP, CCNA, CCNP, CompTIA Security+, or equivalent credentials. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
04/01/2026
Full time
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Specialist, Cloud Information Systems Security Engineer Job Code: 34754 Job Location: Melbourne, FL Job Schedule: 9/80: Employees work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off Job Description: L3Harris is seeking a highly qualified Information Security Systems Engineer (ISSE) with strong cloud security expertise to join the Network Security Engineering Team supporting secure managed network and cloud solutions for federal government and enterprise customers. The ideal candidate is a technically strong ISSE with strong AWS security experience, capable of designing, implementing, and operationalizing security controls across cloud-native applications and infrastructure. This role partners closely with Engineering, DevOps, and Architecture teams to embed security throughout the Software Development Lifecycle (SDLC), automate controls within CI/CD pipelines, and ensure alignment with industry standards and regulatory requirements. The successful candidate will bring hands-on experience securing AWS environments and integrating DevSecOps practices to deliver scalable, resilient, and compliant cloud capabilities. This is a 100% on-site position at the L3Harris offices in Melbourne, Florida. Remote work is not permitted. Essential Functions: Contribute to Security Systems Engineering activities supporting the design, integration, and implementation of secure network and cloud architectures aligned with enterprise and regulatory requirements. Design and secure AWS cloud and hybrid architectures, including IAM, VPC networking, containers (EKS/ECS/Fargate), and serverless (Lambda), aligned to Zero Trust principles. Integrate security into Agile development and SDLC processes by defining cybersecurity requirements, implementing secure coding practices, and deploying application security controls (SAST, DAST, SCA, container scanning, API security). Automate and enforce security controls within DevSecOps pipelines using Infrastructure-as-Code (Terraform, CloudFormation), policy-as-code, and CI/CD platforms (GitHub, GitLab, Jenkins, CodePipeline). Implement and manage cloud-native logging, monitoring, and detection capabilities (CloudTrail, GuardDuty, Security Hub, Config) and support incident response and automated remediation. Support compliance and risk management initiatives (NIST 800-53, ISO 27001, SOC 2, FedRAMP, GDPR) through secure baseline management, control implementation, and remediation tracking. Collaborate with Systems Integration & Test (SI&T) and cross-functional engineering teams to validate security controls and maintain required documentation. Ability to obtain FAA Public Trust Clearance. Qualifications: Bachelor's Degree and minimum 4 years of prior relevant experience. Graduate Degree and a minimum of 2 years of prior related experience. In lieu of a degree, minimum of 8 years of prior related experience. Preferred Additional Skills: VPC architecture, encryption in transit/at rest). 4+ years of experience in network and platform security. Experience securing containerized environments (Docker, Kubernetes) and implementing DevSecOps practices within CI/CD pipelines. Strong scripting and automation skills (Python, Bash, PowerShell) with Git-based version control experience. Experience operationalizing security automation to support continuous monitoring, vulnerability management, and compliance validation. Strong knowledge of secure architecture principles, networking technologies, Zero Trust, and SASE models. Experience securing enterprise infrastructure within regulated environments (e.g., Government, Financial Services, Healthcare), including NIST and FISMA compliance. Expertise in threat modeling, risk analysis, and cross-functional collaboration with engineering and executive stakeholders. Relevant certifications such as AWS Certified Security - Specialty, AWS Certified Solutions Architect - Professional, CISSP, CCSP, CSSLP, CCNA, CCNP, CompTIA Security+, or equivalent credentials. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
L3Harris Technologies
Specialist, Cloud Information Security Systems Engineer
L3Harris Technologies Melbourne, Florida
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Specialist, Cloud Information Systems Security Engineer Job Code: 34754 Job Location: Melbourne, FL Job Schedule: 9/80: Employees work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off Job Description: L3Harris is seeking a highly qualified Information Security Systems Engineer (ISSE) with strong cloud security expertise to join the Network Security Engineering Team supporting secure managed network and cloud solutions for federal government and enterprise customers. The ideal candidate is a technically strong ISSE with strong AWS security experience, capable of designing, implementing, and operationalizing security controls across cloud-native applications and infrastructure. This role partners closely with Engineering, DevOps, and Architecture teams to embed security throughout the Software Development Lifecycle (SDLC), automate controls within CI/CD pipelines, and ensure alignment with industry standards and regulatory requirements. The successful candidate will bring hands-on experience securing AWS environments and integrating DevSecOps practices to deliver scalable, resilient, and compliant cloud capabilities. This is a 100% on-site position at the L3Harris offices in Melbourne, Florida. Remote work is not permitted. Essential Functions: Contribute to Security Systems Engineering activities supporting the design, integration, and implementation of secure network and cloud architectures aligned with enterprise and regulatory requirements. Design and secure AWS cloud and hybrid architectures, including IAM, VPC networking, containers (EKS/ECS/Fargate), and serverless (Lambda), aligned to Zero Trust principles. Integrate security into Agile development and SDLC processes by defining cybersecurity requirements, implementing secure coding practices, and deploying application security controls (SAST, DAST, SCA, container scanning, API security). Automate and enforce security controls within DevSecOps pipelines using Infrastructure-as-Code (Terraform, CloudFormation), policy-as-code, and CI/CD platforms (GitHub, GitLab, Jenkins, CodePipeline). Implement and manage cloud-native logging, monitoring, and detection capabilities (CloudTrail, GuardDuty, Security Hub, Config) and support incident response and automated remediation. Support compliance and risk management initiatives (NIST 800-53, ISO 27001, SOC 2, FedRAMP, GDPR) through secure baseline management, control implementation, and remediation tracking. Collaborate with Systems Integration & Test (SI&T) and cross-functional engineering teams to validate security controls and maintain required documentation. Ability to obtain FAA Public Trust Clearance. Qualifications: Bachelor's Degree and minimum 4 years of prior relevant experience. Graduate Degree and a minimum of 2 years of prior related experience. In lieu of a degree, minimum of 8 years of prior related experience. Preferred Additional Skills: VPC architecture, encryption in transit/at rest). 4+ years of experience in network and platform security. Experience securing containerized environments (Docker, Kubernetes) and implementing DevSecOps practices within CI/CD pipelines. Strong scripting and automation skills (Python, Bash, PowerShell) with Git-based version control experience. Experience operationalizing security automation to support continuous monitoring, vulnerability management, and compliance validation. Strong knowledge of secure architecture principles, networking technologies, Zero Trust, and SASE models. Experience securing enterprise infrastructure within regulated environments (e.g., Government, Financial Services, Healthcare), including NIST and FISMA compliance. Expertise in threat modeling, risk analysis, and cross-functional collaboration with engineering and executive stakeholders. Relevant certifications such as AWS Certified Security - Specialty, AWS Certified Solutions Architect - Professional, CISSP, CCSP, CSSLP, CCNA, CCNP, CompTIA Security+, or equivalent credentials. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
04/01/2026
Full time
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Specialist, Cloud Information Systems Security Engineer Job Code: 34754 Job Location: Melbourne, FL Job Schedule: 9/80: Employees work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off Job Description: L3Harris is seeking a highly qualified Information Security Systems Engineer (ISSE) with strong cloud security expertise to join the Network Security Engineering Team supporting secure managed network and cloud solutions for federal government and enterprise customers. The ideal candidate is a technically strong ISSE with strong AWS security experience, capable of designing, implementing, and operationalizing security controls across cloud-native applications and infrastructure. This role partners closely with Engineering, DevOps, and Architecture teams to embed security throughout the Software Development Lifecycle (SDLC), automate controls within CI/CD pipelines, and ensure alignment with industry standards and regulatory requirements. The successful candidate will bring hands-on experience securing AWS environments and integrating DevSecOps practices to deliver scalable, resilient, and compliant cloud capabilities. This is a 100% on-site position at the L3Harris offices in Melbourne, Florida. Remote work is not permitted. Essential Functions: Contribute to Security Systems Engineering activities supporting the design, integration, and implementation of secure network and cloud architectures aligned with enterprise and regulatory requirements. Design and secure AWS cloud and hybrid architectures, including IAM, VPC networking, containers (EKS/ECS/Fargate), and serverless (Lambda), aligned to Zero Trust principles. Integrate security into Agile development and SDLC processes by defining cybersecurity requirements, implementing secure coding practices, and deploying application security controls (SAST, DAST, SCA, container scanning, API security). Automate and enforce security controls within DevSecOps pipelines using Infrastructure-as-Code (Terraform, CloudFormation), policy-as-code, and CI/CD platforms (GitHub, GitLab, Jenkins, CodePipeline). Implement and manage cloud-native logging, monitoring, and detection capabilities (CloudTrail, GuardDuty, Security Hub, Config) and support incident response and automated remediation. Support compliance and risk management initiatives (NIST 800-53, ISO 27001, SOC 2, FedRAMP, GDPR) through secure baseline management, control implementation, and remediation tracking. Collaborate with Systems Integration & Test (SI&T) and cross-functional engineering teams to validate security controls and maintain required documentation. Ability to obtain FAA Public Trust Clearance. Qualifications: Bachelor's Degree and minimum 4 years of prior relevant experience. Graduate Degree and a minimum of 2 years of prior related experience. In lieu of a degree, minimum of 8 years of prior related experience. Preferred Additional Skills: VPC architecture, encryption in transit/at rest). 4+ years of experience in network and platform security. Experience securing containerized environments (Docker, Kubernetes) and implementing DevSecOps practices within CI/CD pipelines. Strong scripting and automation skills (Python, Bash, PowerShell) with Git-based version control experience. Experience operationalizing security automation to support continuous monitoring, vulnerability management, and compliance validation. Strong knowledge of secure architecture principles, networking technologies, Zero Trust, and SASE models. Experience securing enterprise infrastructure within regulated environments (e.g., Government, Financial Services, Healthcare), including NIST and FISMA compliance. Expertise in threat modeling, risk analysis, and cross-functional collaboration with engineering and executive stakeholders. Relevant certifications such as AWS Certified Security - Specialty, AWS Certified Solutions Architect - Professional, CISSP, CCSP, CSSLP, CCNA, CCNP, CompTIA Security+, or equivalent credentials. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
L3Harris Technologies
Specialist, Cloud Information Security Systems Engineer
L3Harris Technologies Melbourne, Florida
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Specialist, Cloud Information Systems Security Engineer Job Code: 34754 Job Location: Melbourne, FL Job Schedule: 9/80: Employees work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off Job Description: L3Harris is seeking a highly qualified Information Security Systems Engineer (ISSE) with strong cloud security expertise to join the Network Security Engineering Team supporting secure managed network and cloud solutions for federal government and enterprise customers. The ideal candidate is a technically strong ISSE with strong AWS security experience, capable of designing, implementing, and operationalizing security controls across cloud-native applications and infrastructure. This role partners closely with Engineering, DevOps, and Architecture teams to embed security throughout the Software Development Lifecycle (SDLC), automate controls within CI/CD pipelines, and ensure alignment with industry standards and regulatory requirements. The successful candidate will bring hands-on experience securing AWS environments and integrating DevSecOps practices to deliver scalable, resilient, and compliant cloud capabilities. This is a 100% on-site position at the L3Harris offices in Melbourne, Florida. Remote work is not permitted. Essential Functions: Contribute to Security Systems Engineering activities supporting the design, integration, and implementation of secure network and cloud architectures aligned with enterprise and regulatory requirements. Design and secure AWS cloud and hybrid architectures, including IAM, VPC networking, containers (EKS/ECS/Fargate), and serverless (Lambda), aligned to Zero Trust principles. Integrate security into Agile development and SDLC processes by defining cybersecurity requirements, implementing secure coding practices, and deploying application security controls (SAST, DAST, SCA, container scanning, API security). Automate and enforce security controls within DevSecOps pipelines using Infrastructure-as-Code (Terraform, CloudFormation), policy-as-code, and CI/CD platforms (GitHub, GitLab, Jenkins, CodePipeline). Implement and manage cloud-native logging, monitoring, and detection capabilities (CloudTrail, GuardDuty, Security Hub, Config) and support incident response and automated remediation. Support compliance and risk management initiatives (NIST 800-53, ISO 27001, SOC 2, FedRAMP, GDPR) through secure baseline management, control implementation, and remediation tracking. Collaborate with Systems Integration & Test (SI&T) and cross-functional engineering teams to validate security controls and maintain required documentation. Ability to obtain FAA Public Trust Clearance. Qualifications: Bachelor's Degree and minimum 4 years of prior relevant experience. Graduate Degree and a minimum of 2 years of prior related experience. In lieu of a degree, minimum of 8 years of prior related experience. Preferred Additional Skills: VPC architecture, encryption in transit/at rest). 4+ years of experience in network and platform security. Experience securing containerized environments (Docker, Kubernetes) and implementing DevSecOps practices within CI/CD pipelines. Strong scripting and automation skills (Python, Bash, PowerShell) with Git-based version control experience. Experience operationalizing security automation to support continuous monitoring, vulnerability management, and compliance validation. Strong knowledge of secure architecture principles, networking technologies, Zero Trust, and SASE models. Experience securing enterprise infrastructure within regulated environments (e.g., Government, Financial Services, Healthcare), including NIST and FISMA compliance. Expertise in threat modeling, risk analysis, and cross-functional collaboration with engineering and executive stakeholders. Relevant certifications such as AWS Certified Security - Specialty, AWS Certified Solutions Architect - Professional, CISSP, CCSP, CSSLP, CCNA, CCNP, CompTIA Security+, or equivalent credentials. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
04/01/2026
Full time
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Specialist, Cloud Information Systems Security Engineer Job Code: 34754 Job Location: Melbourne, FL Job Schedule: 9/80: Employees work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off Job Description: L3Harris is seeking a highly qualified Information Security Systems Engineer (ISSE) with strong cloud security expertise to join the Network Security Engineering Team supporting secure managed network and cloud solutions for federal government and enterprise customers. The ideal candidate is a technically strong ISSE with strong AWS security experience, capable of designing, implementing, and operationalizing security controls across cloud-native applications and infrastructure. This role partners closely with Engineering, DevOps, and Architecture teams to embed security throughout the Software Development Lifecycle (SDLC), automate controls within CI/CD pipelines, and ensure alignment with industry standards and regulatory requirements. The successful candidate will bring hands-on experience securing AWS environments and integrating DevSecOps practices to deliver scalable, resilient, and compliant cloud capabilities. This is a 100% on-site position at the L3Harris offices in Melbourne, Florida. Remote work is not permitted. Essential Functions: Contribute to Security Systems Engineering activities supporting the design, integration, and implementation of secure network and cloud architectures aligned with enterprise and regulatory requirements. Design and secure AWS cloud and hybrid architectures, including IAM, VPC networking, containers (EKS/ECS/Fargate), and serverless (Lambda), aligned to Zero Trust principles. Integrate security into Agile development and SDLC processes by defining cybersecurity requirements, implementing secure coding practices, and deploying application security controls (SAST, DAST, SCA, container scanning, API security). Automate and enforce security controls within DevSecOps pipelines using Infrastructure-as-Code (Terraform, CloudFormation), policy-as-code, and CI/CD platforms (GitHub, GitLab, Jenkins, CodePipeline). Implement and manage cloud-native logging, monitoring, and detection capabilities (CloudTrail, GuardDuty, Security Hub, Config) and support incident response and automated remediation. Support compliance and risk management initiatives (NIST 800-53, ISO 27001, SOC 2, FedRAMP, GDPR) through secure baseline management, control implementation, and remediation tracking. Collaborate with Systems Integration & Test (SI&T) and cross-functional engineering teams to validate security controls and maintain required documentation. Ability to obtain FAA Public Trust Clearance. Qualifications: Bachelor's Degree and minimum 4 years of prior relevant experience. Graduate Degree and a minimum of 2 years of prior related experience. In lieu of a degree, minimum of 8 years of prior related experience. Preferred Additional Skills: VPC architecture, encryption in transit/at rest). 4+ years of experience in network and platform security. Experience securing containerized environments (Docker, Kubernetes) and implementing DevSecOps practices within CI/CD pipelines. Strong scripting and automation skills (Python, Bash, PowerShell) with Git-based version control experience. Experience operationalizing security automation to support continuous monitoring, vulnerability management, and compliance validation. Strong knowledge of secure architecture principles, networking technologies, Zero Trust, and SASE models. Experience securing enterprise infrastructure within regulated environments (e.g., Government, Financial Services, Healthcare), including NIST and FISMA compliance. Expertise in threat modeling, risk analysis, and cross-functional collaboration with engineering and executive stakeholders. Relevant certifications such as AWS Certified Security - Specialty, AWS Certified Solutions Architect - Professional, CISSP, CCSP, CSSLP, CCNA, CCNP, CompTIA Security+, or equivalent credentials. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
L3Harris Technologies
Specialist, Cloud Information Security Systems Engineer
L3Harris Technologies Melbourne, Florida
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Specialist, Cloud Information Systems Security Engineer Job Code: 34754 Job Location: Melbourne, FL Job Schedule: 9/80: Employees work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off Job Description: L3Harris is seeking a highly qualified Information Security Systems Engineer (ISSE) with strong cloud security expertise to join the Network Security Engineering Team supporting secure managed network and cloud solutions for federal government and enterprise customers. The ideal candidate is a technically strong ISSE with strong AWS security experience, capable of designing, implementing, and operationalizing security controls across cloud-native applications and infrastructure. This role partners closely with Engineering, DevOps, and Architecture teams to embed security throughout the Software Development Lifecycle (SDLC), automate controls within CI/CD pipelines, and ensure alignment with industry standards and regulatory requirements. The successful candidate will bring hands-on experience securing AWS environments and integrating DevSecOps practices to deliver scalable, resilient, and compliant cloud capabilities. This is a 100% on-site position at the L3Harris offices in Melbourne, Florida. Remote work is not permitted. Essential Functions: Contribute to Security Systems Engineering activities supporting the design, integration, and implementation of secure network and cloud architectures aligned with enterprise and regulatory requirements. Design and secure AWS cloud and hybrid architectures, including IAM, VPC networking, containers (EKS/ECS/Fargate), and serverless (Lambda), aligned to Zero Trust principles. Integrate security into Agile development and SDLC processes by defining cybersecurity requirements, implementing secure coding practices, and deploying application security controls (SAST, DAST, SCA, container scanning, API security). Automate and enforce security controls within DevSecOps pipelines using Infrastructure-as-Code (Terraform, CloudFormation), policy-as-code, and CI/CD platforms (GitHub, GitLab, Jenkins, CodePipeline). Implement and manage cloud-native logging, monitoring, and detection capabilities (CloudTrail, GuardDuty, Security Hub, Config) and support incident response and automated remediation. Support compliance and risk management initiatives (NIST 800-53, ISO 27001, SOC 2, FedRAMP, GDPR) through secure baseline management, control implementation, and remediation tracking. Collaborate with Systems Integration & Test (SI&T) and cross-functional engineering teams to validate security controls and maintain required documentation. Ability to obtain FAA Public Trust Clearance. Qualifications: Bachelor's Degree and minimum 4 years of prior relevant experience. Graduate Degree and a minimum of 2 years of prior related experience. In lieu of a degree, minimum of 8 years of prior related experience. Preferred Additional Skills: VPC architecture, encryption in transit/at rest). 4+ years of experience in network and platform security. Experience securing containerized environments (Docker, Kubernetes) and implementing DevSecOps practices within CI/CD pipelines. Strong scripting and automation skills (Python, Bash, PowerShell) with Git-based version control experience. Experience operationalizing security automation to support continuous monitoring, vulnerability management, and compliance validation. Strong knowledge of secure architecture principles, networking technologies, Zero Trust, and SASE models. Experience securing enterprise infrastructure within regulated environments (e.g., Government, Financial Services, Healthcare), including NIST and FISMA compliance. Expertise in threat modeling, risk analysis, and cross-functional collaboration with engineering and executive stakeholders. Relevant certifications such as AWS Certified Security - Specialty, AWS Certified Solutions Architect - Professional, CISSP, CCSP, CSSLP, CCNA, CCNP, CompTIA Security+, or equivalent credentials. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
04/01/2026
Full time
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Specialist, Cloud Information Systems Security Engineer Job Code: 34754 Job Location: Melbourne, FL Job Schedule: 9/80: Employees work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off Job Description: L3Harris is seeking a highly qualified Information Security Systems Engineer (ISSE) with strong cloud security expertise to join the Network Security Engineering Team supporting secure managed network and cloud solutions for federal government and enterprise customers. The ideal candidate is a technically strong ISSE with strong AWS security experience, capable of designing, implementing, and operationalizing security controls across cloud-native applications and infrastructure. This role partners closely with Engineering, DevOps, and Architecture teams to embed security throughout the Software Development Lifecycle (SDLC), automate controls within CI/CD pipelines, and ensure alignment with industry standards and regulatory requirements. The successful candidate will bring hands-on experience securing AWS environments and integrating DevSecOps practices to deliver scalable, resilient, and compliant cloud capabilities. This is a 100% on-site position at the L3Harris offices in Melbourne, Florida. Remote work is not permitted. Essential Functions: Contribute to Security Systems Engineering activities supporting the design, integration, and implementation of secure network and cloud architectures aligned with enterprise and regulatory requirements. Design and secure AWS cloud and hybrid architectures, including IAM, VPC networking, containers (EKS/ECS/Fargate), and serverless (Lambda), aligned to Zero Trust principles. Integrate security into Agile development and SDLC processes by defining cybersecurity requirements, implementing secure coding practices, and deploying application security controls (SAST, DAST, SCA, container scanning, API security). Automate and enforce security controls within DevSecOps pipelines using Infrastructure-as-Code (Terraform, CloudFormation), policy-as-code, and CI/CD platforms (GitHub, GitLab, Jenkins, CodePipeline). Implement and manage cloud-native logging, monitoring, and detection capabilities (CloudTrail, GuardDuty, Security Hub, Config) and support incident response and automated remediation. Support compliance and risk management initiatives (NIST 800-53, ISO 27001, SOC 2, FedRAMP, GDPR) through secure baseline management, control implementation, and remediation tracking. Collaborate with Systems Integration & Test (SI&T) and cross-functional engineering teams to validate security controls and maintain required documentation. Ability to obtain FAA Public Trust Clearance. Qualifications: Bachelor's Degree and minimum 4 years of prior relevant experience. Graduate Degree and a minimum of 2 years of prior related experience. In lieu of a degree, minimum of 8 years of prior related experience. Preferred Additional Skills: VPC architecture, encryption in transit/at rest). 4+ years of experience in network and platform security. Experience securing containerized environments (Docker, Kubernetes) and implementing DevSecOps practices within CI/CD pipelines. Strong scripting and automation skills (Python, Bash, PowerShell) with Git-based version control experience. Experience operationalizing security automation to support continuous monitoring, vulnerability management, and compliance validation. Strong knowledge of secure architecture principles, networking technologies, Zero Trust, and SASE models. Experience securing enterprise infrastructure within regulated environments (e.g., Government, Financial Services, Healthcare), including NIST and FISMA compliance. Expertise in threat modeling, risk analysis, and cross-functional collaboration with engineering and executive stakeholders. Relevant certifications such as AWS Certified Security - Specialty, AWS Certified Solutions Architect - Professional, CISSP, CCSP, CSSLP, CCNA, CCNP, CompTIA Security+, or equivalent credentials. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
MLOps Engineer
Careers Integrated Resources Inc Houston, Texas
Job Title: MLOps Engineer Job Location: Houston, TX, 77002 (Hybrid - 4 Days a week in office) Job Contract: 8 Months+ contract (with possible extension) Note: W2 only Job Description: Must-have: Hands-on experience with AWS, Microsoft Azure, and Snowflake in building or supporting production ML/data platforms. Job Summary: We are seeking an MLOps Engineer to design, deploy, monitor, and maintain machine learning solutions in production across AWS, Microsoft Azure, and Snowflake environments. This role will partner with data scientists and cloud teams to operationalize ML models, automate pipelines, and build reliable, secure, and scalable ML platforms. The ideal candidate has strong experience in the end-to-end ML lifecycle, cloud-native deployment, CI/CD automation, model monitoring, and production data pipelines, with hands-on expertise in AWS, Azure, and Snowflake. Key Responsibilities: Design and implement end-to-end ML pipelines for data ingestion, feature engineering, model training, validation, deployment, and monitoring. Deploy and manage ML models in production across AWS, Azure, and Snowflake-based ecosystems. Build batch and real-time inference pipelines using cloud-native and platform-native services Automate model packaging, testing, release, and rollback using CI/CD best practices. Integrate ML workflows with services such as AWS SageMaker, AWS Lambda, Azure Machine Learning, Azure Data Factory, and Snowflake. Build and maintain orchestration workflows using tools such as Airflow, Azure Data Factory, or similar platforms. Implement experiment tracking, model registry, and model governance processes. Monitor model accuracy, drift, latency, throughput, pipeline failures, and infrastructure usage. Establish deployment strategies such as canary, shadow, blue-green, and rollback mechanisms. Collaborate with cross-functional teams to move models from research to production. Ensure security, compliance, traceability, and access control for models and data across cloud environments. Optimize platform performance, reliability, and cost across AWS, Azure, and Snowflake. Document architecture, deployment standards, and operational procedures. Required Qualifications: Master's or Advanced degree (PhD) in Computer Science, Computer Engineering, or Similar Five or more years of relevant experiences Proven experience in MLOps, ML engineering, platform engineering, or DevOps Strong hands-on experience with AWS, Microsoft Azure, and Snowflake Strong programming skills in Python and SQL Experience deploying and managing ML models in production Experience with cloud ML services such as AWS SageMaker and Azure Machine Learning Experience building data pipelines and integrating with Snowflake Knowledge of CI/CD pipelines, infrastructure automation, and model versioning Experience with containerization and orchestration tools such as Docker and Kubernetes Experience with workflow orchestration tools such as Airflow, Azure Data Factory, or similar Familiarity with model monitoring, logging, alerting, and observability Solid understanding of data engineering concepts, APIs, and distributed processing Strong troubleshooting, communication, and cross-team collaboration skills Preferred Qualifications: Experience with Snowflake Cortex AI, Snowpark, or ML workloads in Snowflake Experience with AWS Bedrock, Azure Open AI, or production LLM workflows Experience with real-time inference, event-driven pipelines, and server less architectures Familiarity with feature stores, vector databases, and RAG-based systems Experience with Terraform, Cloud Formation, or Azure infrastructure-as-code tools Understanding of security, compliance, and governance requirements for regulated environments Experience with production A/B testing, shadow deployment, and rollback strategies
04/01/2026
Full time
Job Title: MLOps Engineer Job Location: Houston, TX, 77002 (Hybrid - 4 Days a week in office) Job Contract: 8 Months+ contract (with possible extension) Note: W2 only Job Description: Must-have: Hands-on experience with AWS, Microsoft Azure, and Snowflake in building or supporting production ML/data platforms. Job Summary: We are seeking an MLOps Engineer to design, deploy, monitor, and maintain machine learning solutions in production across AWS, Microsoft Azure, and Snowflake environments. This role will partner with data scientists and cloud teams to operationalize ML models, automate pipelines, and build reliable, secure, and scalable ML platforms. The ideal candidate has strong experience in the end-to-end ML lifecycle, cloud-native deployment, CI/CD automation, model monitoring, and production data pipelines, with hands-on expertise in AWS, Azure, and Snowflake. Key Responsibilities: Design and implement end-to-end ML pipelines for data ingestion, feature engineering, model training, validation, deployment, and monitoring. Deploy and manage ML models in production across AWS, Azure, and Snowflake-based ecosystems. Build batch and real-time inference pipelines using cloud-native and platform-native services Automate model packaging, testing, release, and rollback using CI/CD best practices. Integrate ML workflows with services such as AWS SageMaker, AWS Lambda, Azure Machine Learning, Azure Data Factory, and Snowflake. Build and maintain orchestration workflows using tools such as Airflow, Azure Data Factory, or similar platforms. Implement experiment tracking, model registry, and model governance processes. Monitor model accuracy, drift, latency, throughput, pipeline failures, and infrastructure usage. Establish deployment strategies such as canary, shadow, blue-green, and rollback mechanisms. Collaborate with cross-functional teams to move models from research to production. Ensure security, compliance, traceability, and access control for models and data across cloud environments. Optimize platform performance, reliability, and cost across AWS, Azure, and Snowflake. Document architecture, deployment standards, and operational procedures. Required Qualifications: Master's or Advanced degree (PhD) in Computer Science, Computer Engineering, or Similar Five or more years of relevant experiences Proven experience in MLOps, ML engineering, platform engineering, or DevOps Strong hands-on experience with AWS, Microsoft Azure, and Snowflake Strong programming skills in Python and SQL Experience deploying and managing ML models in production Experience with cloud ML services such as AWS SageMaker and Azure Machine Learning Experience building data pipelines and integrating with Snowflake Knowledge of CI/CD pipelines, infrastructure automation, and model versioning Experience with containerization and orchestration tools such as Docker and Kubernetes Experience with workflow orchestration tools such as Airflow, Azure Data Factory, or similar Familiarity with model monitoring, logging, alerting, and observability Solid understanding of data engineering concepts, APIs, and distributed processing Strong troubleshooting, communication, and cross-team collaboration skills Preferred Qualifications: Experience with Snowflake Cortex AI, Snowpark, or ML workloads in Snowflake Experience with AWS Bedrock, Azure Open AI, or production LLM workflows Experience with real-time inference, event-driven pipelines, and server less architectures Familiarity with feature stores, vector databases, and RAG-based systems Experience with Terraform, Cloud Formation, or Azure infrastructure-as-code tools Understanding of security, compliance, and governance requirements for regulated environments Experience with production A/B testing, shadow deployment, and rollback strategies
Azure Cloud Engineer
Jobot Fort Worth, Texas
Hybrid work. Great pay. Big cloud impact This Jobot Job is hosted by: Robert Donohue Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $115,000 - $130,000 per year A bit about us: We are a highly respected financial services organization known for stability, employee growth, and our strong commitment to innovation. As our cloud footprint continues to expand, we are investing heavily in building a modern hybrid cloud environment that supports business transformation across the company. We're seeking a Cloud Engineer who brings strong Azure expertise, hybrid cloud experience, and the ability to partner closely with both technical and business teams. This role sits at the intersection of engineering and architecture - ideal for someone who is already performing architectural responsibilities or looking to grow into a Cloud Architect-level role. You'll work in a collaborative, Agile shared-services environment, helping drive cloud strategy, design modern infrastructure solutions, enable development teams, and evangelize cloud adoption across the organization. If you want a hands-on role that also allows you to influence cloud direction, guide stakeholders, and contribute to long-term architectural roadmaps, this is an exciting opportunity. Why join us? Up to $130K base salary 10% performance bonus 15% ESOP contribution (company-funded, 6-year vesting) Excellent benefits, strong work-life balance, and outstanding long-term growth potential Hybrid schedule: Tue/Wed/Thu in office, Mon/Fri remote (additional in-office days during onboarding/training) Job Details What You'll Do Manage, monitor, and optimize the Azure cloud environment, ensuring availability, security, and performance. Design, install, configure, and support hybrid cloud infrastructure and on-premises datacenter resources. Collaborate with development and Scrum teams to plan compute, network, and deployment requirements. Build and automate infrastructure using modern templates and IaC tools. Optimize network and security infrastructure for Azure IaaS, PaaS, and SaaS services. Create and maintain documentation for cloud and on-prem environments, ensuring repeatability and clarity. Identify root causes behind connectivity, performance, or security issues and develop solutions. Support the design and implementation of architectural cloud roadmaps. Integrate cloud technologies into existing systems while ensuring alignment with technical and business goals. Coordinate with vendors, service providers, and internal IT groups to resolve issues efficiently. Participate in on-call rotation and occasional after-hours duties for critical events or maintenance. Required Skills & Experience Bachelor's degree in Computer Science or comparable field. 5+ years in computing or network infrastructure roles. 3+ years working in a cloud environment (Azure strongly preferred). Demonstrated experience deploying, managing, and supporting cloud infrastructure. Hands-on experience with IaC & automation (Terraform, ARM, Bicep, Puppet, Chef, Jenkins, Azure DevOps, etc.). Strong background in hybrid environments, virtual networks, firewalls, load balancers, and cloud security. Experience with monitoring tools, DevOps methodologies, and CI/CD workflows. Ability to translate design requirements into automated, repeatable deployments. Experience supporting IaaS/PaaS systems, virtual machines, cloud networking, and automation pipelines. Strong troubleshooting, critical thinking, and performance tuning abilities. Excellent communication skills - able to explain complex technical concepts to all audiences. High customer-service orientation and ability to work cross-functionally. Preferred Experience (Bonus Points) Azure or AWS certifications (Azure strongly preferred). Microsoft Windows Server (2012/2016/2019). Linux/Unix systems administration. Cisco routing/switching experience (CCNA/CCNP a plus). Palo Alto or equivalent cloud-based firewall technologies. Interested in hearing more? Easy Apply now by clicking the "Apply Now" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
04/01/2026
Full time
Hybrid work. Great pay. Big cloud impact This Jobot Job is hosted by: Robert Donohue Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $115,000 - $130,000 per year A bit about us: We are a highly respected financial services organization known for stability, employee growth, and our strong commitment to innovation. As our cloud footprint continues to expand, we are investing heavily in building a modern hybrid cloud environment that supports business transformation across the company. We're seeking a Cloud Engineer who brings strong Azure expertise, hybrid cloud experience, and the ability to partner closely with both technical and business teams. This role sits at the intersection of engineering and architecture - ideal for someone who is already performing architectural responsibilities or looking to grow into a Cloud Architect-level role. You'll work in a collaborative, Agile shared-services environment, helping drive cloud strategy, design modern infrastructure solutions, enable development teams, and evangelize cloud adoption across the organization. If you want a hands-on role that also allows you to influence cloud direction, guide stakeholders, and contribute to long-term architectural roadmaps, this is an exciting opportunity. Why join us? Up to $130K base salary 10% performance bonus 15% ESOP contribution (company-funded, 6-year vesting) Excellent benefits, strong work-life balance, and outstanding long-term growth potential Hybrid schedule: Tue/Wed/Thu in office, Mon/Fri remote (additional in-office days during onboarding/training) Job Details What You'll Do Manage, monitor, and optimize the Azure cloud environment, ensuring availability, security, and performance. Design, install, configure, and support hybrid cloud infrastructure and on-premises datacenter resources. Collaborate with development and Scrum teams to plan compute, network, and deployment requirements. Build and automate infrastructure using modern templates and IaC tools. Optimize network and security infrastructure for Azure IaaS, PaaS, and SaaS services. Create and maintain documentation for cloud and on-prem environments, ensuring repeatability and clarity. Identify root causes behind connectivity, performance, or security issues and develop solutions. Support the design and implementation of architectural cloud roadmaps. Integrate cloud technologies into existing systems while ensuring alignment with technical and business goals. Coordinate with vendors, service providers, and internal IT groups to resolve issues efficiently. Participate in on-call rotation and occasional after-hours duties for critical events or maintenance. Required Skills & Experience Bachelor's degree in Computer Science or comparable field. 5+ years in computing or network infrastructure roles. 3+ years working in a cloud environment (Azure strongly preferred). Demonstrated experience deploying, managing, and supporting cloud infrastructure. Hands-on experience with IaC & automation (Terraform, ARM, Bicep, Puppet, Chef, Jenkins, Azure DevOps, etc.). Strong background in hybrid environments, virtual networks, firewalls, load balancers, and cloud security. Experience with monitoring tools, DevOps methodologies, and CI/CD workflows. Ability to translate design requirements into automated, repeatable deployments. Experience supporting IaaS/PaaS systems, virtual machines, cloud networking, and automation pipelines. Strong troubleshooting, critical thinking, and performance tuning abilities. Excellent communication skills - able to explain complex technical concepts to all audiences. High customer-service orientation and ability to work cross-functionally. Preferred Experience (Bonus Points) Azure or AWS certifications (Azure strongly preferred). Microsoft Windows Server (2012/2016/2019). Linux/Unix systems administration. Cisco routing/switching experience (CCNA/CCNP a plus). Palo Alto or equivalent cloud-based firewall technologies. Interested in hearing more? Easy Apply now by clicking the "Apply Now" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
Sr. Cloud Infrastructure Engineer - Terraform / IaC
Cliff Services Inc Austin, Texas
Sr. Cloud Infrastructure Engineer Terraform / IaC Location: Austin, TX - Hybrid Experience: 8+ Years ABOUT THE ENGAGEMENT A Fortune 500 financial services and investment brokerage firm is operationalizing its multi-cloud infrastructure to enable scalable and secure migration of enterprise applications across AWS, Azure, and GCP. The Cloud Services organization empowers development teams with a self-service catalog of secure, regulatory-compliant cloud products. You will work alongside Cloud Architects, Cloud Security Engineers, SREs, and application teams to design, build, and maintain enterprise-grade cloud infrastructure serving millions of retail and institutional investors. KEY RESPONSIBILITIES Design, implement, and maintain cloud infrastructure across AWS, Azure, and/or GCP in a large-scale enterprise financial environment Lead Infrastructure as Code (IaC) efforts using Terraform including building net-new modules, maintaining existing modules, and resolving issues with existing configurations Architect and manage cloud networking constructs: VPCs, subnets, routing, peering, NAT, DNS, load balancing, VPNs, Direct Connect, hybrid connectivity Coordinate and execute cloud migrations of enterprise applications to multi-cloud infrastructure Build and manage CI/CD pipelines using Git, Bitbucket, Bamboo, Jenkins, or Concourse Develop automation scripts using Python, Bash, PowerShell, or Golang Ensure high availability of mission-critical 24x7 financial systems through operational processes, SRE practices, and incident management Troubleshoot cloud and hybrid cloud-to-data center deployments using log aggregators such as Splunk, CloudWatch, or Cloud Monitoring Enforce cloud compliance, security, and scalability standards aligned with financial regulatory requirements (SEC, FINRA) Follow ITIL Operations Processes: Change Management, Incident Management, Problem Management, and Service Request Management Mentor junior engineers and provide technical oversight to vendor staff Collaborate with Cloud Security engineers to ensure secure architecture design across all environments REQUIRED QUALIFICATIONS 8+ years of experience in Cloud Infrastructure Engineering or equivalent enterprise IT roles 5+ years hands-on experience with public cloud platforms AWS, Azure, or GCP (multi-cloud preferred) 5+ years experience with Terraform including building new modules from scratch, managing state, and identifying and resolving module-level issues Strong expertise in cloud networking: CIDR, NAT, DNS, load balancing, VPC peering, hybrid connectivity, VPNs, Direct Connect / Interconnect Proficiency in at least one scripting/automation language: Python, Bash, PowerShell, or Golang Solid experience with DevOps tooling: Git, GitHub/GitLab/Bitbucket, Bamboo, Jenkins, Concourse Experience supporting mission-critical 24x7 enterprise systems in a regulated financial services environment Strong understanding of cloud security, IAM, compliance frameworks, and access management best practices Hands-on experience with Docker, Kubernetes, and container orchestration Experience with log aggregation and observability tools: Splunk, CloudWatch, or equivalent PREFERRED QUALIFICATIONS Experience with Ansible, Salt, or CloudFormation in addition to Terraform Familiarity with GCP services: BigQuery, Cloud Run, Cloud Composer, Cloud Storage, Pub/Sub Experience with AWS serverless: Lambda, API Gateway, SQS/SNS, DynamoDB Knowledge of ITIL best practices Prior experience in financial services, banking, or brokerage environments (SEC/FINRA regulated) Cloud certifications: AWS Solutions Architect, Azure Administrator, GCP Professional Cloud Architect, or equivalent
04/01/2026
Full time
Sr. Cloud Infrastructure Engineer Terraform / IaC Location: Austin, TX - Hybrid Experience: 8+ Years ABOUT THE ENGAGEMENT A Fortune 500 financial services and investment brokerage firm is operationalizing its multi-cloud infrastructure to enable scalable and secure migration of enterprise applications across AWS, Azure, and GCP. The Cloud Services organization empowers development teams with a self-service catalog of secure, regulatory-compliant cloud products. You will work alongside Cloud Architects, Cloud Security Engineers, SREs, and application teams to design, build, and maintain enterprise-grade cloud infrastructure serving millions of retail and institutional investors. KEY RESPONSIBILITIES Design, implement, and maintain cloud infrastructure across AWS, Azure, and/or GCP in a large-scale enterprise financial environment Lead Infrastructure as Code (IaC) efforts using Terraform including building net-new modules, maintaining existing modules, and resolving issues with existing configurations Architect and manage cloud networking constructs: VPCs, subnets, routing, peering, NAT, DNS, load balancing, VPNs, Direct Connect, hybrid connectivity Coordinate and execute cloud migrations of enterprise applications to multi-cloud infrastructure Build and manage CI/CD pipelines using Git, Bitbucket, Bamboo, Jenkins, or Concourse Develop automation scripts using Python, Bash, PowerShell, or Golang Ensure high availability of mission-critical 24x7 financial systems through operational processes, SRE practices, and incident management Troubleshoot cloud and hybrid cloud-to-data center deployments using log aggregators such as Splunk, CloudWatch, or Cloud Monitoring Enforce cloud compliance, security, and scalability standards aligned with financial regulatory requirements (SEC, FINRA) Follow ITIL Operations Processes: Change Management, Incident Management, Problem Management, and Service Request Management Mentor junior engineers and provide technical oversight to vendor staff Collaborate with Cloud Security engineers to ensure secure architecture design across all environments REQUIRED QUALIFICATIONS 8+ years of experience in Cloud Infrastructure Engineering or equivalent enterprise IT roles 5+ years hands-on experience with public cloud platforms AWS, Azure, or GCP (multi-cloud preferred) 5+ years experience with Terraform including building new modules from scratch, managing state, and identifying and resolving module-level issues Strong expertise in cloud networking: CIDR, NAT, DNS, load balancing, VPC peering, hybrid connectivity, VPNs, Direct Connect / Interconnect Proficiency in at least one scripting/automation language: Python, Bash, PowerShell, or Golang Solid experience with DevOps tooling: Git, GitHub/GitLab/Bitbucket, Bamboo, Jenkins, Concourse Experience supporting mission-critical 24x7 enterprise systems in a regulated financial services environment Strong understanding of cloud security, IAM, compliance frameworks, and access management best practices Hands-on experience with Docker, Kubernetes, and container orchestration Experience with log aggregation and observability tools: Splunk, CloudWatch, or equivalent PREFERRED QUALIFICATIONS Experience with Ansible, Salt, or CloudFormation in addition to Terraform Familiarity with GCP services: BigQuery, Cloud Run, Cloud Composer, Cloud Storage, Pub/Sub Experience with AWS serverless: Lambda, API Gateway, SQS/SNS, DynamoDB Knowledge of ITIL best practices Prior experience in financial services, banking, or brokerage environments (SEC/FINRA regulated) Cloud certifications: AWS Solutions Architect, Azure Administrator, GCP Professional Cloud Architect, or equivalent
Senior Technology Development Operations Manager
Cooley LLP Palo Alto, California
Senior Technology Development Operations ManagerCooley is seeking a Senior DevOps Manager to join the Infrastructure & Development Operations team.Position summary: The Senior Technology Development Operations (DevOps)Manageris responsible for leading the team thatdesigns, architects,deploys, tests,maintains,and documents the DevOps technology stack. This stack is responsible for facilitating a secure, CI/CD-enabled, and highly availableSaaS-baseddelivery and hosting environment for Cooley's custom applications. The Senior DevOps Manager will build and deploy green-field solutions where needed, and otherwise willprimarilywork to improve theefficiency,security,and availability/reliability of the enterprise DevOps and related infrastructure. This role will workin an integrated fashion with the development teams to build in-depth knowledge of the products and code, attending daily stand-ups as needed. In addition to being technically advanced, this position will use a high degree of emotional intelligence and the ability to work as a team towards complex and layered objectives. Specific duties and responsibilities include, but are not limited to, the following:Position responsibilities: Provide experienced leadership in developing solutions for highly scalable, highly available, hybrid cloud (IaaS, PaaS, SaaS) infrastructure patterns and platform integrations across physical colocations and hyperscalers (AWS and Azure) Manage, build, configure, administer, operate, and maintain all components that comprise our DevOps environment Leverage industry standard Frameworks and Blueprints as a foundation to create best-in-class Terraform IaC module libraries Lead the evolution of our DevOps and DevSecOps practice maturity Act as a key member of the infrastructure architecture team to identify optimization opportunities throughout the infrastructure Define, document, and enforce configuration standards and governance through IaC Develop, test, deploy, and optimize DevOps IaC code deployment pipelines and practices Provision automation using CI/CD (DevOps Pipelines) and IaC (Terraform) tooling Serve as a technical escalation point Work with our development and data teams to integrate products into a DevOps-managed environment Develop and maintain scripts to automate tool/service deployments to our Hybrid Cloud environment through DevOps Pipelines and Releases Participate in software releases and deployments Contribute to the design, update, refinement, and documentation of operational processes Provide technical mentorship and educate team members as a subject matter expert on IaC, containerization, and CI/CD Brainstorm new ideas and ways to improve product delivery and efficiency Consult peer teams for feedback during the design, testing, and implementation stages Serve as direct supervisor and mentor to direct reports Provide day-to-day supervision of direct reports, ensure compliance with assigned work hours and monitor for compliance with all firm and department policies. Manage staffing coverage, review and process time logs/time off requests Support business professional development and continued educational opportunities In collaboration with immediate supervisor and HR, participate in hiring, performance appraisals, counseling, termination and other employee lifecycle events All other duties as assigned or requiredSkills and experience:Required: After orientation at Cooley LLP, exhibit proficiency in the Microsoft Office suite, iManage and other firm applications Ability to work extended and/or weekend hours, as required Ability to travel, as required 7+ years of relevant experience in cloud infrastructure and DevOps with 2+ years of exempt/management experience in relevant roles Proficiency in AWS or Azure architecture, configuration, and security Skilled in CI/CD pipeline design using Azure DevOps, Jenkins, or GitHub Actions Strong Terraform expertise, including advanced workflows and tools like Terragrunt Experience with Docker, Kubernetes, Helm, and GitOps tools (Flux, ArgoCD) Familiarity with microservices deployment and release automation Hands-on with .NET Core containers on Linux and scripting in Linux/Windows Knowledge of open-source and NoSQL databases (e.g., MS SQL, MongoDB, Elasticsearch) Experience with APM tools (Datadog, New Relic, etc.) and IaC security tools (Snyk, tfsec)Preferred: Bachelor's Degree in Computer Science, Information Technology, Engineering, or associated discipline Experience working with advanced ETL data workflows including technologies such as AWS EMR, Azure Synapse, Azure Data Factory, or Apache Hive/Spark/Airflow Supervisory experience Experience with IaC deployment of AKS/EKS/GKE architecture is highly desired Experience with enterprise Data Lake environments using technologies such as DataBricks or SnowflakeCompetencies: Expert analytical/quantitative, problem-solving, and deductive reasoning skills, with experience performing advanced troubleshooting and root cause analysis of complex technical issues Excellent organizational, planning, and time management skills and ability to work either independently or in a team environment to manage competing priorities and meet deadlines Advanced verbal and written communication skills with the ability to present findings, conclusions, alternatives, and information clearly and concisely Experience working with all levels of staff, management, stakeholders, and vendors with ability to build effective relationships through trust and diplomacyCooley offers a competitive compensation and excellent benefits package and is committed to fair and equitable employment practices.EOE.The expected annual pay range for this position with a full-time schedule is $180,000 - $255,000. Please note that final offer amount will be dependent on geographic location, applicable experience and skillset of the candidate.We offer a full range of elective benefits including medical, health savings account (with applicable medical plan), dental, vision, health and/or dependent care flexible spending accounts, pre-tax commuter benefits, life insurance, AD&D, long-term care coverage, backup care for children and/or adults and other parental support benefits. In addition to elective benefit options, benefited employees receive firm-paid life insurance, AD&D, LTD, short term medical benefits as well as 21 days of Paid Time Off ("PTO") and 10 paid holidays each year. We provide generous parental leave and fertility benefits. New employees will attend a detailed benefit orientation to learn more about our many benefits and resources.
04/01/2026
Senior Technology Development Operations ManagerCooley is seeking a Senior DevOps Manager to join the Infrastructure & Development Operations team.Position summary: The Senior Technology Development Operations (DevOps)Manageris responsible for leading the team thatdesigns, architects,deploys, tests,maintains,and documents the DevOps technology stack. This stack is responsible for facilitating a secure, CI/CD-enabled, and highly availableSaaS-baseddelivery and hosting environment for Cooley's custom applications. The Senior DevOps Manager will build and deploy green-field solutions where needed, and otherwise willprimarilywork to improve theefficiency,security,and availability/reliability of the enterprise DevOps and related infrastructure. This role will workin an integrated fashion with the development teams to build in-depth knowledge of the products and code, attending daily stand-ups as needed. In addition to being technically advanced, this position will use a high degree of emotional intelligence and the ability to work as a team towards complex and layered objectives. Specific duties and responsibilities include, but are not limited to, the following:Position responsibilities: Provide experienced leadership in developing solutions for highly scalable, highly available, hybrid cloud (IaaS, PaaS, SaaS) infrastructure patterns and platform integrations across physical colocations and hyperscalers (AWS and Azure) Manage, build, configure, administer, operate, and maintain all components that comprise our DevOps environment Leverage industry standard Frameworks and Blueprints as a foundation to create best-in-class Terraform IaC module libraries Lead the evolution of our DevOps and DevSecOps practice maturity Act as a key member of the infrastructure architecture team to identify optimization opportunities throughout the infrastructure Define, document, and enforce configuration standards and governance through IaC Develop, test, deploy, and optimize DevOps IaC code deployment pipelines and practices Provision automation using CI/CD (DevOps Pipelines) and IaC (Terraform) tooling Serve as a technical escalation point Work with our development and data teams to integrate products into a DevOps-managed environment Develop and maintain scripts to automate tool/service deployments to our Hybrid Cloud environment through DevOps Pipelines and Releases Participate in software releases and deployments Contribute to the design, update, refinement, and documentation of operational processes Provide technical mentorship and educate team members as a subject matter expert on IaC, containerization, and CI/CD Brainstorm new ideas and ways to improve product delivery and efficiency Consult peer teams for feedback during the design, testing, and implementation stages Serve as direct supervisor and mentor to direct reports Provide day-to-day supervision of direct reports, ensure compliance with assigned work hours and monitor for compliance with all firm and department policies. Manage staffing coverage, review and process time logs/time off requests Support business professional development and continued educational opportunities In collaboration with immediate supervisor and HR, participate in hiring, performance appraisals, counseling, termination and other employee lifecycle events All other duties as assigned or requiredSkills and experience:Required: After orientation at Cooley LLP, exhibit proficiency in the Microsoft Office suite, iManage and other firm applications Ability to work extended and/or weekend hours, as required Ability to travel, as required 7+ years of relevant experience in cloud infrastructure and DevOps with 2+ years of exempt/management experience in relevant roles Proficiency in AWS or Azure architecture, configuration, and security Skilled in CI/CD pipeline design using Azure DevOps, Jenkins, or GitHub Actions Strong Terraform expertise, including advanced workflows and tools like Terragrunt Experience with Docker, Kubernetes, Helm, and GitOps tools (Flux, ArgoCD) Familiarity with microservices deployment and release automation Hands-on with .NET Core containers on Linux and scripting in Linux/Windows Knowledge of open-source and NoSQL databases (e.g., MS SQL, MongoDB, Elasticsearch) Experience with APM tools (Datadog, New Relic, etc.) and IaC security tools (Snyk, tfsec)Preferred: Bachelor's Degree in Computer Science, Information Technology, Engineering, or associated discipline Experience working with advanced ETL data workflows including technologies such as AWS EMR, Azure Synapse, Azure Data Factory, or Apache Hive/Spark/Airflow Supervisory experience Experience with IaC deployment of AKS/EKS/GKE architecture is highly desired Experience with enterprise Data Lake environments using technologies such as DataBricks or SnowflakeCompetencies: Expert analytical/quantitative, problem-solving, and deductive reasoning skills, with experience performing advanced troubleshooting and root cause analysis of complex technical issues Excellent organizational, planning, and time management skills and ability to work either independently or in a team environment to manage competing priorities and meet deadlines Advanced verbal and written communication skills with the ability to present findings, conclusions, alternatives, and information clearly and concisely Experience working with all levels of staff, management, stakeholders, and vendors with ability to build effective relationships through trust and diplomacyCooley offers a competitive compensation and excellent benefits package and is committed to fair and equitable employment practices.EOE.The expected annual pay range for this position with a full-time schedule is $180,000 - $255,000. Please note that final offer amount will be dependent on geographic location, applicable experience and skillset of the candidate.We offer a full range of elective benefits including medical, health savings account (with applicable medical plan), dental, vision, health and/or dependent care flexible spending accounts, pre-tax commuter benefits, life insurance, AD&D, long-term care coverage, backup care for children and/or adults and other parental support benefits. In addition to elective benefit options, benefited employees receive firm-paid life insurance, AD&D, LTD, short term medical benefits as well as 21 days of Paid Time Off ("PTO") and 10 paid holidays each year. We provide generous parental leave and fertility benefits. New employees will attend a detailed benefit orientation to learn more about our many benefits and resources.
Senior Technology Site Reliability Engineer
Cooley LLP Seattle, Washington
Senior Technology Site Reliability EngineerCooley is seeking a Senior Site Reliability Engineer to join the Infrastructure & Development Operationsteam.Position summary: The Senior Technology Site Reliability Engineer("SRE") is responsible for ensuring the reliability, scalability, and performance of the firm's critical infrastructure and applications. The SREblends software engineering with systems engineering to build and maintain automated, resilient, and observable systems that support high availability and operational excellence. In addition to being technically advanced, the SRE will have a high degree of emotional intelligence and the ability to work as a team towards complex and layered objectives. Specific duties and responsibilities include, but are not limited to, the following:Position responsibilities: Monitor and maintain production systems to ensure high availability and performance Implement and manage service-level indicators (SLIs), objectives (SLO's), agreements (SLA's), and error budgets Participate in on-call rotations and incident response, including root cause analysis and postmortems Develop and maintain infrastructure as code (IaC) using Terraform Automate deployment, scaling, and recovery processes to reduce manual intervention Partner with DevOps to build and maintain CI/CD pipelines to support safe and efficient software delivery Implement observability solutions using metrics, logs, traces, and alerting systems (Prometheus, Grafana, DataDog, etc.) Proactively identify and resolve system bottlenecks and reliability risks Work closely with Infrastructure, DevOps, Development, and security teams to embed reliability into the development lifecycle Contribute to a culture of blameless post-mortems and continuous improvement Document operational procedures and share knowledge across teams All other duties as assigned or requiredSkills and experience:Required: After orientation at Cooley LLP, exhibit proficiency in the Microsoft Office suite, iManage and other firm applications Ability to work extended and/or weekend hours, as required Ability to travel, as required 6+ years direct applicable experience (e.g. site reliability engineering or related field) Proficiency in Terraform and programming languages such as Python, Go, or Java Deep expertise in cloud platforms, particularly AWS, and container orchestration Strong background in distributed systems, performance tuning, and automation Hands-on experience with configuration management tools such as Puppet, Chef, or SaltPreferred: Bachelor's Degree in Computer Science, Information Technology, Engineering, or associated discipline Experience working with advanced ETL data workflows including technologies such as AWS EMR, Azure Synapse, Azure Data Factory, or Apache Hive/Spark/Airflow Experience with IaC deployment of AKS/EKS/GKE architecture Experience with enterprise Data Lake environments using technologies such as DataBricks or SnowflakeCompetencies: Expert analytical/quantitative, problem-solving, and deductive reasoning skills, experience performing advanced troubleshooting and root cause analysis of complex technical issues Excellent organizational, planning, and time management skills and ability to work independently and in a team environment to manage competing priorities and meet deadlines Advanced verbal and written communication skills with the ability to present findings, conclusions, alternatives, and information clearly and concisely Experience working with all levels of business professionals, management, stakeholders, and vendors with the ability to build effective relationships through trust and diplomacyCooley offers a competitive compensation and excellent benefits package and is committed to fair and equitable employment practices.EOE.The expected annual pay range for this position with a full-time schedule is $140,000 - $205,000. Please note that final offer amount will be dependent on geographic location, applicable experience and skillset of the candidate.We offer a full range of elective benefits including medical, health savings account (with applicable medical plan), dental, vision, health and/or dependent care flexible spending accounts, pre-tax commuter benefits, life insurance, AD&D, long-term care coverage, backup care for children and/or adults and other parental support benefits. In addition to elective benefit options, benefited employees receive firm-paid life insurance, AD&D, LTD, short term medical benefits as well as 21 days of Paid Time Off ("PTO") and 10 paid holidays each year. We provide generous parental leave and fertility benefits. New employees will attend a detailed benefit orientation to learn more about our many benefits and resources.
04/01/2026
Senior Technology Site Reliability EngineerCooley is seeking a Senior Site Reliability Engineer to join the Infrastructure & Development Operationsteam.Position summary: The Senior Technology Site Reliability Engineer("SRE") is responsible for ensuring the reliability, scalability, and performance of the firm's critical infrastructure and applications. The SREblends software engineering with systems engineering to build and maintain automated, resilient, and observable systems that support high availability and operational excellence. In addition to being technically advanced, the SRE will have a high degree of emotional intelligence and the ability to work as a team towards complex and layered objectives. Specific duties and responsibilities include, but are not limited to, the following:Position responsibilities: Monitor and maintain production systems to ensure high availability and performance Implement and manage service-level indicators (SLIs), objectives (SLO's), agreements (SLA's), and error budgets Participate in on-call rotations and incident response, including root cause analysis and postmortems Develop and maintain infrastructure as code (IaC) using Terraform Automate deployment, scaling, and recovery processes to reduce manual intervention Partner with DevOps to build and maintain CI/CD pipelines to support safe and efficient software delivery Implement observability solutions using metrics, logs, traces, and alerting systems (Prometheus, Grafana, DataDog, etc.) Proactively identify and resolve system bottlenecks and reliability risks Work closely with Infrastructure, DevOps, Development, and security teams to embed reliability into the development lifecycle Contribute to a culture of blameless post-mortems and continuous improvement Document operational procedures and share knowledge across teams All other duties as assigned or requiredSkills and experience:Required: After orientation at Cooley LLP, exhibit proficiency in the Microsoft Office suite, iManage and other firm applications Ability to work extended and/or weekend hours, as required Ability to travel, as required 6+ years direct applicable experience (e.g. site reliability engineering or related field) Proficiency in Terraform and programming languages such as Python, Go, or Java Deep expertise in cloud platforms, particularly AWS, and container orchestration Strong background in distributed systems, performance tuning, and automation Hands-on experience with configuration management tools such as Puppet, Chef, or SaltPreferred: Bachelor's Degree in Computer Science, Information Technology, Engineering, or associated discipline Experience working with advanced ETL data workflows including technologies such as AWS EMR, Azure Synapse, Azure Data Factory, or Apache Hive/Spark/Airflow Experience with IaC deployment of AKS/EKS/GKE architecture Experience with enterprise Data Lake environments using technologies such as DataBricks or SnowflakeCompetencies: Expert analytical/quantitative, problem-solving, and deductive reasoning skills, experience performing advanced troubleshooting and root cause analysis of complex technical issues Excellent organizational, planning, and time management skills and ability to work independently and in a team environment to manage competing priorities and meet deadlines Advanced verbal and written communication skills with the ability to present findings, conclusions, alternatives, and information clearly and concisely Experience working with all levels of business professionals, management, stakeholders, and vendors with the ability to build effective relationships through trust and diplomacyCooley offers a competitive compensation and excellent benefits package and is committed to fair and equitable employment practices.EOE.The expected annual pay range for this position with a full-time schedule is $140,000 - $205,000. Please note that final offer amount will be dependent on geographic location, applicable experience and skillset of the candidate.We offer a full range of elective benefits including medical, health savings account (with applicable medical plan), dental, vision, health and/or dependent care flexible spending accounts, pre-tax commuter benefits, life insurance, AD&D, long-term care coverage, backup care for children and/or adults and other parental support benefits. In addition to elective benefit options, benefited employees receive firm-paid life insurance, AD&D, LTD, short term medical benefits as well as 21 days of Paid Time Off ("PTO") and 10 paid holidays each year. We provide generous parental leave and fertility benefits. New employees will attend a detailed benefit orientation to learn more about our many benefits and resources.
Senior Technology Development Operations Manager
Cooley LLP San Francisco, California
Senior Technology Development Operations ManagerCooley is seeking a Senior DevOps Manager to join the Infrastructure & Development Operations team.Position summary: The Senior Technology Development Operations (DevOps)Manageris responsible for leading the team thatdesigns, architects,deploys, tests,maintains,and documents the DevOps technology stack. This stack is responsible for facilitating a secure, CI/CD-enabled, and highly availableSaaS-baseddelivery and hosting environment for Cooley's custom applications. The Senior DevOps Manager will build and deploy green-field solutions where needed, and otherwise willprimarilywork to improve theefficiency,security,and availability/reliability of the enterprise DevOps and related infrastructure. This role will workin an integrated fashion with the development teams to build in-depth knowledge of the products and code, attending daily stand-ups as needed. In addition to being technically advanced, this position will use a high degree of emotional intelligence and the ability to work as a team towards complex and layered objectives. Specific duties and responsibilities include, but are not limited to, the following:Position responsibilities: Provide experienced leadership in developing solutions for highly scalable, highly available, hybrid cloud (IaaS, PaaS, SaaS) infrastructure patterns and platform integrations across physical colocations and hyperscalers (AWS and Azure) Manage, build, configure, administer, operate, and maintain all components that comprise our DevOps environment Leverage industry standard Frameworks and Blueprints as a foundation to create best-in-class Terraform IaC module libraries Lead the evolution of our DevOps and DevSecOps practice maturity Act as a key member of the infrastructure architecture team to identify optimization opportunities throughout the infrastructure Define, document, and enforce configuration standards and governance through IaC Develop, test, deploy, and optimize DevOps IaC code deployment pipelines and practices Provision automation using CI/CD (DevOps Pipelines) and IaC (Terraform) tooling Serve as a technical escalation point Work with our development and data teams to integrate products into a DevOps-managed environment Develop and maintain scripts to automate tool/service deployments to our Hybrid Cloud environment through DevOps Pipelines and Releases Participate in software releases and deployments Contribute to the design, update, refinement, and documentation of operational processes Provide technical mentorship and educate team members as a subject matter expert on IaC, containerization, and CI/CD Brainstorm new ideas and ways to improve product delivery and efficiency Consult peer teams for feedback during the design, testing, and implementation stages Serve as direct supervisor and mentor to direct reports Provide day-to-day supervision of direct reports, ensure compliance with assigned work hours and monitor for compliance with all firm and department policies. Manage staffing coverage, review and process time logs/time off requests Support business professional development and continued educational opportunities In collaboration with immediate supervisor and HR, participate in hiring, performance appraisals, counseling, termination and other employee lifecycle events All other duties as assigned or requiredSkills and experience:Required: After orientation at Cooley LLP, exhibit proficiency in the Microsoft Office suite, iManage and other firm applications Ability to work extended and/or weekend hours, as required Ability to travel, as required 7+ years of relevant experience in cloud infrastructure and DevOps with 2+ years of exempt/management experience in relevant roles Proficiency in AWS or Azure architecture, configuration, and security Skilled in CI/CD pipeline design using Azure DevOps, Jenkins, or GitHub Actions Strong Terraform expertise, including advanced workflows and tools like Terragrunt Experience with Docker, Kubernetes, Helm, and GitOps tools (Flux, ArgoCD) Familiarity with microservices deployment and release automation Hands-on with .NET Core containers on Linux and scripting in Linux/Windows Knowledge of open-source and NoSQL databases (e.g., MS SQL, MongoDB, Elasticsearch) Experience with APM tools (Datadog, New Relic, etc.) and IaC security tools (Snyk, tfsec)Preferred: Bachelor's Degree in Computer Science, Information Technology, Engineering, or associated discipline Experience working with advanced ETL data workflows including technologies such as AWS EMR, Azure Synapse, Azure Data Factory, or Apache Hive/Spark/Airflow Supervisory experience Experience with IaC deployment of AKS/EKS/GKE architecture is highly desired Experience with enterprise Data Lake environments using technologies such as DataBricks or SnowflakeCompetencies: Expert analytical/quantitative, problem-solving, and deductive reasoning skills, with experience performing advanced troubleshooting and root cause analysis of complex technical issues Excellent organizational, planning, and time management skills and ability to work either independently or in a team environment to manage competing priorities and meet deadlines Advanced verbal and written communication skills with the ability to present findings, conclusions, alternatives, and information clearly and concisely Experience working with all levels of staff, management, stakeholders, and vendors with ability to build effective relationships through trust and diplomacyCooley offers a competitive compensation and excellent benefits package and is committed to fair and equitable employment practices.EOE.The expected annual pay range for this position with a full-time schedule is $180,000 - $255,000. Please note that final offer amount will be dependent on geographic location, applicable experience and skillset of the candidate.We offer a full range of elective benefits including medical, health savings account (with applicable medical plan), dental, vision, health and/or dependent care flexible spending accounts, pre-tax commuter benefits, life insurance, AD&D, long-term care coverage, backup care for children and/or adults and other parental support benefits. In addition to elective benefit options, benefited employees receive firm-paid life insurance, AD&D, LTD, short term medical benefits as well as 21 days of Paid Time Off ("PTO") and 10 paid holidays each year. We provide generous parental leave and fertility benefits. New employees will attend a detailed benefit orientation to learn more about our many benefits and resources.
04/01/2026
Senior Technology Development Operations ManagerCooley is seeking a Senior DevOps Manager to join the Infrastructure & Development Operations team.Position summary: The Senior Technology Development Operations (DevOps)Manageris responsible for leading the team thatdesigns, architects,deploys, tests,maintains,and documents the DevOps technology stack. This stack is responsible for facilitating a secure, CI/CD-enabled, and highly availableSaaS-baseddelivery and hosting environment for Cooley's custom applications. The Senior DevOps Manager will build and deploy green-field solutions where needed, and otherwise willprimarilywork to improve theefficiency,security,and availability/reliability of the enterprise DevOps and related infrastructure. This role will workin an integrated fashion with the development teams to build in-depth knowledge of the products and code, attending daily stand-ups as needed. In addition to being technically advanced, this position will use a high degree of emotional intelligence and the ability to work as a team towards complex and layered objectives. Specific duties and responsibilities include, but are not limited to, the following:Position responsibilities: Provide experienced leadership in developing solutions for highly scalable, highly available, hybrid cloud (IaaS, PaaS, SaaS) infrastructure patterns and platform integrations across physical colocations and hyperscalers (AWS and Azure) Manage, build, configure, administer, operate, and maintain all components that comprise our DevOps environment Leverage industry standard Frameworks and Blueprints as a foundation to create best-in-class Terraform IaC module libraries Lead the evolution of our DevOps and DevSecOps practice maturity Act as a key member of the infrastructure architecture team to identify optimization opportunities throughout the infrastructure Define, document, and enforce configuration standards and governance through IaC Develop, test, deploy, and optimize DevOps IaC code deployment pipelines and practices Provision automation using CI/CD (DevOps Pipelines) and IaC (Terraform) tooling Serve as a technical escalation point Work with our development and data teams to integrate products into a DevOps-managed environment Develop and maintain scripts to automate tool/service deployments to our Hybrid Cloud environment through DevOps Pipelines and Releases Participate in software releases and deployments Contribute to the design, update, refinement, and documentation of operational processes Provide technical mentorship and educate team members as a subject matter expert on IaC, containerization, and CI/CD Brainstorm new ideas and ways to improve product delivery and efficiency Consult peer teams for feedback during the design, testing, and implementation stages Serve as direct supervisor and mentor to direct reports Provide day-to-day supervision of direct reports, ensure compliance with assigned work hours and monitor for compliance with all firm and department policies. Manage staffing coverage, review and process time logs/time off requests Support business professional development and continued educational opportunities In collaboration with immediate supervisor and HR, participate in hiring, performance appraisals, counseling, termination and other employee lifecycle events All other duties as assigned or requiredSkills and experience:Required: After orientation at Cooley LLP, exhibit proficiency in the Microsoft Office suite, iManage and other firm applications Ability to work extended and/or weekend hours, as required Ability to travel, as required 7+ years of relevant experience in cloud infrastructure and DevOps with 2+ years of exempt/management experience in relevant roles Proficiency in AWS or Azure architecture, configuration, and security Skilled in CI/CD pipeline design using Azure DevOps, Jenkins, or GitHub Actions Strong Terraform expertise, including advanced workflows and tools like Terragrunt Experience with Docker, Kubernetes, Helm, and GitOps tools (Flux, ArgoCD) Familiarity with microservices deployment and release automation Hands-on with .NET Core containers on Linux and scripting in Linux/Windows Knowledge of open-source and NoSQL databases (e.g., MS SQL, MongoDB, Elasticsearch) Experience with APM tools (Datadog, New Relic, etc.) and IaC security tools (Snyk, tfsec)Preferred: Bachelor's Degree in Computer Science, Information Technology, Engineering, or associated discipline Experience working with advanced ETL data workflows including technologies such as AWS EMR, Azure Synapse, Azure Data Factory, or Apache Hive/Spark/Airflow Supervisory experience Experience with IaC deployment of AKS/EKS/GKE architecture is highly desired Experience with enterprise Data Lake environments using technologies such as DataBricks or SnowflakeCompetencies: Expert analytical/quantitative, problem-solving, and deductive reasoning skills, with experience performing advanced troubleshooting and root cause analysis of complex technical issues Excellent organizational, planning, and time management skills and ability to work either independently or in a team environment to manage competing priorities and meet deadlines Advanced verbal and written communication skills with the ability to present findings, conclusions, alternatives, and information clearly and concisely Experience working with all levels of staff, management, stakeholders, and vendors with ability to build effective relationships through trust and diplomacyCooley offers a competitive compensation and excellent benefits package and is committed to fair and equitable employment practices.EOE.The expected annual pay range for this position with a full-time schedule is $180,000 - $255,000. Please note that final offer amount will be dependent on geographic location, applicable experience and skillset of the candidate.We offer a full range of elective benefits including medical, health savings account (with applicable medical plan), dental, vision, health and/or dependent care flexible spending accounts, pre-tax commuter benefits, life insurance, AD&D, long-term care coverage, backup care for children and/or adults and other parental support benefits. In addition to elective benefit options, benefited employees receive firm-paid life insurance, AD&D, LTD, short term medical benefits as well as 21 days of Paid Time Off ("PTO") and 10 paid holidays each year. We provide generous parental leave and fertility benefits. New employees will attend a detailed benefit orientation to learn more about our many benefits and resources.
DevOps Engineer
InsideHigherEd Stanford, California
DevOps Engineer Business Affairs: University IT (UIT), Redwood City, California, United States Information Technology Services Nov 17, 2025 Post Date 107201 Requisition # JOB PURPOSE Enterprise Technologies is a central IT unit at Stanford University, responsible for delivering foundational computing and communication infrastructure that supports the University's academic, research, and administrative functions. We are seeking a Senior DevOps Engineer with proven expertise in API development, as well as administration and integration experience across Google Workspace, AWS, and Microsoft Azure. In this role, you will design and automate cloud infrastructure, optimize CI/CD pipelines, develop and maintain internal APIs, and manage cloud-based configurations, identity services, and security policies-leveraging scripting and API-driven automation across multi-cloud and enterprise collaboration platforms. RESPONSIBILITIES The DevOps Engineer will serve as a key member of the team, leading the design, development, planning, support, and security of Stanford's infrastructure with a focus on Google Cloud technologies. This role is critical in optimizing software delivery pipelines, enabling collaboration across teams, and ensuring the reliability, performance, and scalability of systems running in Google Cloud. The ideal candidate will have deep experience with infrastructure automation, cloud-native tooling, and API integrations within the Google ecosystem-including GCP and Google Workspace. Strong leadership, scripting, and communication skills are essential. Key responsibilities include: CORE DUTIES: Design, implement, and maintain scalable CI/CD pipelines (e.g., GitHub Actions, Jenkins, GitLab CI). Automate infrastructure provisioning using tools like Terraform, CloudFormation, or Pulumi. Build, deploy, and manage containerized applications using Docker and orchestration platforms (Kubernetes, ECS, etc.). Develop and maintain RESTful and/or GraphQL APIs using Python, Go, or Node.js. Manage and integrate Google Workspace with internal systems, including API access, identity provisioning (via Directory API), and service automation. Monitor system health and performance using observability tools (e.g., Prometheus, Grafana, ELK, Datadog). Implement security best practices, including IAM, secrets management, and compliance enforcement. Collaborate with engineering, security, and IT teams to maintain a secure and efficient development environment. Support incident response, root cause analysis, and disaster recovery procedures. Document infrastructure, processes, and API endpoints thoroughly. Participating in 24x7 on-call support rotation. MINIMUM REQUIREMENTS: Education & Experience Bachelor's degree and eight years of relevant experience, or a combination of education and relevant experience. Knowledge, Skills and Abilities: Bachelor's degree in Computer Science, Engineering, or equivalent work experience. 5+ years in DevOps, SRE, or Platform Engineering roles. Hands-on experience with public cloud platforms (AWS, Azure, or GCP-GCP preferred). Strong programming skills in one or more languages for API development (e.g., Python, Go, Node.js). Proficiency with CI/CD tools and IaC frameworks (e.g., Terraform, Ansible, CloudFormation). Experience with Docker and container orchestration tools such as Kubernetes or ECS. Demonstrated experience managing and integrating Google Workspace in enterprise environments, including APIs, security settings, and automation. Solid knowledge of Linux administration, networking, and cloud security principles. Strong troubleshooting and debugging skills across the stack. Excellent communication, documentation, and collaboration abilities. Should demonstrate a willingness to learn and adapt to new technologies and industry trends. Preferred Qualifications (Nice to Have): Experience building and maintaining internal developer platforms or shared infrastructure. Experience with API management platforms (e.g., Apigee, AWS API Gateway, Kong). Hands-on experience with Proofpoint administration, including email security configuration and policy management. Experience with Microsoft 365 administration, including Exchange Online, SharePoint, Teams, and security/compliance controls. Google Workspace Administrator or GCP-related certifications. Experience with Entra ID or other Identity Providers for SSO and federated authentication flows. The expected pay range for this position is $150,289 to $171,000 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( ) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form . Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Additional Information Schedule: Full-time Job Code: 4833 Employee Status: Regular Grade: K Requisition ID: 107201 Work Arrangement : Hybrid Eligible
01/14/2026
Full time
DevOps Engineer Business Affairs: University IT (UIT), Redwood City, California, United States Information Technology Services Nov 17, 2025 Post Date 107201 Requisition # JOB PURPOSE Enterprise Technologies is a central IT unit at Stanford University, responsible for delivering foundational computing and communication infrastructure that supports the University's academic, research, and administrative functions. We are seeking a Senior DevOps Engineer with proven expertise in API development, as well as administration and integration experience across Google Workspace, AWS, and Microsoft Azure. In this role, you will design and automate cloud infrastructure, optimize CI/CD pipelines, develop and maintain internal APIs, and manage cloud-based configurations, identity services, and security policies-leveraging scripting and API-driven automation across multi-cloud and enterprise collaboration platforms. RESPONSIBILITIES The DevOps Engineer will serve as a key member of the team, leading the design, development, planning, support, and security of Stanford's infrastructure with a focus on Google Cloud technologies. This role is critical in optimizing software delivery pipelines, enabling collaboration across teams, and ensuring the reliability, performance, and scalability of systems running in Google Cloud. The ideal candidate will have deep experience with infrastructure automation, cloud-native tooling, and API integrations within the Google ecosystem-including GCP and Google Workspace. Strong leadership, scripting, and communication skills are essential. Key responsibilities include: CORE DUTIES: Design, implement, and maintain scalable CI/CD pipelines (e.g., GitHub Actions, Jenkins, GitLab CI). Automate infrastructure provisioning using tools like Terraform, CloudFormation, or Pulumi. Build, deploy, and manage containerized applications using Docker and orchestration platforms (Kubernetes, ECS, etc.). Develop and maintain RESTful and/or GraphQL APIs using Python, Go, or Node.js. Manage and integrate Google Workspace with internal systems, including API access, identity provisioning (via Directory API), and service automation. Monitor system health and performance using observability tools (e.g., Prometheus, Grafana, ELK, Datadog). Implement security best practices, including IAM, secrets management, and compliance enforcement. Collaborate with engineering, security, and IT teams to maintain a secure and efficient development environment. Support incident response, root cause analysis, and disaster recovery procedures. Document infrastructure, processes, and API endpoints thoroughly. Participating in 24x7 on-call support rotation. MINIMUM REQUIREMENTS: Education & Experience Bachelor's degree and eight years of relevant experience, or a combination of education and relevant experience. Knowledge, Skills and Abilities: Bachelor's degree in Computer Science, Engineering, or equivalent work experience. 5+ years in DevOps, SRE, or Platform Engineering roles. Hands-on experience with public cloud platforms (AWS, Azure, or GCP-GCP preferred). Strong programming skills in one or more languages for API development (e.g., Python, Go, Node.js). Proficiency with CI/CD tools and IaC frameworks (e.g., Terraform, Ansible, CloudFormation). Experience with Docker and container orchestration tools such as Kubernetes or ECS. Demonstrated experience managing and integrating Google Workspace in enterprise environments, including APIs, security settings, and automation. Solid knowledge of Linux administration, networking, and cloud security principles. Strong troubleshooting and debugging skills across the stack. Excellent communication, documentation, and collaboration abilities. Should demonstrate a willingness to learn and adapt to new technologies and industry trends. Preferred Qualifications (Nice to Have): Experience building and maintaining internal developer platforms or shared infrastructure. Experience with API management platforms (e.g., Apigee, AWS API Gateway, Kong). Hands-on experience with Proofpoint administration, including email security configuration and policy management. Experience with Microsoft 365 administration, including Exchange Online, SharePoint, Teams, and security/compliance controls. Google Workspace Administrator or GCP-related certifications. Experience with Entra ID or other Identity Providers for SSO and federated authentication flows. The expected pay range for this position is $150,289 to $171,000 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( ) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form . Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Additional Information Schedule: Full-time Job Code: 4833 Employee Status: Regular Grade: K Requisition ID: 107201 Work Arrangement : Hybrid Eligible
Sr DevSecOps Engineer
Northwestern Mutual Milwaukee, Wisconsin
Bring your best! What this role needs: Passionate about security A team player who enjoys collaborating with cross-functional teams A great communicator (written and verbal) with an ability to articulate complex topics in a clear and concise manner Employs a flexible and constructive approach when solving problems Proficient with development and scripting languages, Python and JavaScript preferred Strong knowledge of data security principles, encryption techniques, access controls, and secure coding practices Experienced with infrastructure-as-code concepts and tooling, including Terraform and YAML Continuously looking for opportunities to improve our processes and capabilities Experienced working with application and engineering teams A self-directed individual contributor What you'll get to do: Engineer solutions with a focus on automation to reduce manual and repetitive tasks Guide and advise application and engineering teams in the area of Data Security Manage day-to-day support of Data Security tools integrated into our on-premise and cloud database environments (relational & NoSQL) Manage technical support of Data Security capabilities and respond to service and escalation tickets within service-level agreements Design, implement, and maintain procedures, processes, and methodologies that support DevSecOps capabilities Actively monitor, assess, and recommend tactical and strategic initiatives based on new and emerging threats posing risk to our company Stay apprised of current and proposed security changes impacting regulatory, privacy, and security industry best practices Manage remediation efforts after security assessment findings outline weaknesses requiring attention Mentor other staff members to ensure consistency, quality and productivity of deliverables Further impress us with: Bachelor's or equivalent experience with an emphasis in computer science, computer engineering, software engineering, or an MIS related field 5+ years of experience in cloud and on-prem technologies (systems administration of Unix/Linux/Windows, AWS PaaS databases, database activity monitoring, DSPM tools) 5+ years of experience in development, infrastructure, or cybersecurity Understanding of applicable risk management frameworks from NIST and Data Security Maturity Model Experience with CICD pipelines to automate application and infrastructure code deployments Experience with workload orchestration platforms such as Kubernetes Understanding of a wide-range of cybersecurity capabilities including data security, security engineering, identity and access management, incident response, logging and monitoring, and penetration testing Relevant certifications from GIAC, ISC(2), ISACA, and other recognized cybersecurity industry organizations Compensation Range: Pay Range - Start: $102,060.00 Pay Range - End: $189,540.00 Geographic Specific Pay Structure: Structure 110: $112,280.00 USD - $208,520.00 USD Structure 115: $117,390.00 USD - $218,010.00 USD We believe in fairness and transparency. Its why we share the salary range for most of our roles. However, final salaries are based on a number of factors, including the skills and experience of the candidate; the current market; location of the candidate; and other factors uncovered in the hiring process. The standard pay structure is listed but if youre living in California, New York City or other eligible location, geographic specific pay structures, compensation and benefits could be applicable, click here to learn more. Grow your career with a best-in-class company that puts our clients' interests at the center of all we do. Get started now! Northwestern Mutual is an equal opportunity employer who welcomes and encourages diversity in the workforce. We are committed to creating and maintaining an environment in which each employee can contribute creative ideas, seek challenges, assume leadership and continue to focus on meeting and exceeding business and personal objectives. Skills Cloud & IT Infrastructure (NM) - Advanced, Analytical Thinking (NM) - Advanced, Cloud Security (NM) - Intermediate, Threat Awareness (NM) - Advanced, Application Security (NM) - Intermediate, DevOps (NM) - Advanced, Cross Functional Partnering & Planning (NM) - Intermediate, Professional Curiosity (NM) - Advanced (Inactive), Risk Management (NM) - Intermediate, System Development (NM) - Advanced, Strategic Thinking (NM) - Intermediate, Customer Centricity (NM) - Intermediate, Technology R&D (NM) - Intermediate, Adaptive Communication (NM) - Intermediate, Engineering Expertise & Practices (NM) - Advanced, Vulnerability Assessment & Management (NM) - Intermediate, Coaching & Mentoring (NM) - Intermediate, Scripting & Integration (NM) - Intermediate, Triage (NM) - Advanced, Security Practices (NM) - Intermediate, Secure Information Management (NM) - Intermediate (Inactive) FIND YOUR FUTURE Were excited about the potential people bring to Northwestern Mutual. You can grow your career here while enjoying first-class perks, benefits, and our commitment to a culture of belonging. Flexible work schedules Concierge service Comprehensive benefits Employee resource groups PandoLogic. Preferred Job Industries Other
01/07/2026
Full time
Bring your best! What this role needs: Passionate about security A team player who enjoys collaborating with cross-functional teams A great communicator (written and verbal) with an ability to articulate complex topics in a clear and concise manner Employs a flexible and constructive approach when solving problems Proficient with development and scripting languages, Python and JavaScript preferred Strong knowledge of data security principles, encryption techniques, access controls, and secure coding practices Experienced with infrastructure-as-code concepts and tooling, including Terraform and YAML Continuously looking for opportunities to improve our processes and capabilities Experienced working with application and engineering teams A self-directed individual contributor What you'll get to do: Engineer solutions with a focus on automation to reduce manual and repetitive tasks Guide and advise application and engineering teams in the area of Data Security Manage day-to-day support of Data Security tools integrated into our on-premise and cloud database environments (relational & NoSQL) Manage technical support of Data Security capabilities and respond to service and escalation tickets within service-level agreements Design, implement, and maintain procedures, processes, and methodologies that support DevSecOps capabilities Actively monitor, assess, and recommend tactical and strategic initiatives based on new and emerging threats posing risk to our company Stay apprised of current and proposed security changes impacting regulatory, privacy, and security industry best practices Manage remediation efforts after security assessment findings outline weaknesses requiring attention Mentor other staff members to ensure consistency, quality and productivity of deliverables Further impress us with: Bachelor's or equivalent experience with an emphasis in computer science, computer engineering, software engineering, or an MIS related field 5+ years of experience in cloud and on-prem technologies (systems administration of Unix/Linux/Windows, AWS PaaS databases, database activity monitoring, DSPM tools) 5+ years of experience in development, infrastructure, or cybersecurity Understanding of applicable risk management frameworks from NIST and Data Security Maturity Model Experience with CICD pipelines to automate application and infrastructure code deployments Experience with workload orchestration platforms such as Kubernetes Understanding of a wide-range of cybersecurity capabilities including data security, security engineering, identity and access management, incident response, logging and monitoring, and penetration testing Relevant certifications from GIAC, ISC(2), ISACA, and other recognized cybersecurity industry organizations Compensation Range: Pay Range - Start: $102,060.00 Pay Range - End: $189,540.00 Geographic Specific Pay Structure: Structure 110: $112,280.00 USD - $208,520.00 USD Structure 115: $117,390.00 USD - $218,010.00 USD We believe in fairness and transparency. Its why we share the salary range for most of our roles. However, final salaries are based on a number of factors, including the skills and experience of the candidate; the current market; location of the candidate; and other factors uncovered in the hiring process. The standard pay structure is listed but if youre living in California, New York City or other eligible location, geographic specific pay structures, compensation and benefits could be applicable, click here to learn more. Grow your career with a best-in-class company that puts our clients' interests at the center of all we do. Get started now! Northwestern Mutual is an equal opportunity employer who welcomes and encourages diversity in the workforce. We are committed to creating and maintaining an environment in which each employee can contribute creative ideas, seek challenges, assume leadership and continue to focus on meeting and exceeding business and personal objectives. Skills Cloud & IT Infrastructure (NM) - Advanced, Analytical Thinking (NM) - Advanced, Cloud Security (NM) - Intermediate, Threat Awareness (NM) - Advanced, Application Security (NM) - Intermediate, DevOps (NM) - Advanced, Cross Functional Partnering & Planning (NM) - Intermediate, Professional Curiosity (NM) - Advanced (Inactive), Risk Management (NM) - Intermediate, System Development (NM) - Advanced, Strategic Thinking (NM) - Intermediate, Customer Centricity (NM) - Intermediate, Technology R&D (NM) - Intermediate, Adaptive Communication (NM) - Intermediate, Engineering Expertise & Practices (NM) - Advanced, Vulnerability Assessment & Management (NM) - Intermediate, Coaching & Mentoring (NM) - Intermediate, Scripting & Integration (NM) - Intermediate, Triage (NM) - Advanced, Security Practices (NM) - Intermediate, Secure Information Management (NM) - Intermediate (Inactive) FIND YOUR FUTURE Were excited about the potential people bring to Northwestern Mutual. You can grow your career here while enjoying first-class perks, benefits, and our commitment to a culture of belonging. Flexible work schedules Concierge service Comprehensive benefits Employee resource groups PandoLogic. Preferred Job Industries Other
Sr DevSecOps Engineer
Northwestern Mutual Milwaukee, Wisconsin
Bring your best! What this role needs: Passionate about security A team player who enjoys collaborating with cross-functional teams A great communicator (written and verbal) with an ability to articulate complex topics in a clear and concise manner Employs a flexible and constructive approach when solving problems Proficient with development and scripting languages, Python and JavaScript preferred Strong knowledge of data security principles, encryption techniques, access controls, and secure coding practices Experienced with infrastructure-as-code concepts and tooling, including Terraform and YAML Continuously looking for opportunities to improve our processes and capabilities Experienced working with application and engineering teams A self-directed individual contributor What you'll get to do: Engineer solutions with a focus on automation to reduce manual and repetitive tasks Guide and advise application and engineering teams in the area of Data Security Manage day-to-day support of Data Security tools integrated into our on-premise and cloud database environments (relational & NoSQL) Manage technical support of Data Security capabilities and respond to service and escalation tickets within service-level agreements Design, implement, and maintain procedures, processes, and methodologies that support DevSecOps capabilities Actively monitor, assess, and recommend tactical and strategic initiatives based on new and emerging threats posing risk to our company Stay apprised of current and proposed security changes impacting regulatory, privacy, and security industry best practices Manage remediation efforts after security assessment findings outline weaknesses requiring attention Mentor other staff members to ensure consistency, quality and productivity of deliverables Further impress us with: Bachelor's or equivalent experience with an emphasis in computer science, computer engineering, software engineering, or an MIS related field 5+ years of experience in cloud and on-prem technologies (systems administration of Unix/Linux/Windows, AWS PaaS databases, database activity monitoring, DSPM tools) 5+ years of experience in development, infrastructure, or cybersecurity Understanding of applicable risk management frameworks from NIST and Data Security Maturity Model Experience with CICD pipelines to automate application and infrastructure code deployments Experience with workload orchestration platforms such as Kubernetes Understanding of a wide-range of cybersecurity capabilities including data security, security engineering, identity and access management, incident response, logging and monitoring, and penetration testing Relevant certifications from GIAC, ISC(2), ISACA, and other recognized cybersecurity industry organizations Compensation Range: Pay Range - Start: $102,060.00 Pay Range - End: $189,540.00 Geographic Specific Pay Structure: Structure 110: $112,280.00 USD - $208,520.00 USD Structure 115: $117,390.00 USD - $218,010.00 USD We believe in fairness and transparency. It's why we share the salary range for most of our roles. However, final salaries are based on a number of factors, including the skills and experience of the candidate; the current market; location of the candidate; and other factors uncovered in the hiring process. The standard pay structure is listed but if you're living in California, New York City or other eligible location, geographic specific pay structures, compensation and benefits could be applicable, click here to learn more. Grow your career with a best-in-class company that puts our clients' interests at the center of all we do. Get started now! Northwestern Mutual is an equal opportunity employer who welcomes and encourages diversity in the workforce. We are committed to creating and maintaining an environment in which each employee can contribute creative ideas, seek challenges, assume leadership and continue to focus on meeting and exceeding business and personal objectives. Skills Cloud & IT Infrastructure (NM) - Advanced, Analytical Thinking (NM) - Advanced, Cloud Security (NM) - Intermediate, Threat Awareness (NM) - Advanced, Application Security (NM) - Intermediate, DevOps (NM) - Advanced, Cross Functional Partnering & Planning (NM) - Intermediate, Professional Curiosity (NM) - Advanced (Inactive), Risk Management (NM) - Intermediate, System Development (NM) - Advanced, Strategic Thinking (NM) - Intermediate, Customer Centricity (NM) - Intermediate, Technology R&D (NM) - Intermediate, Adaptive Communication (NM) - Intermediate, Engineering Expertise & Practices (NM) - Advanced, Vulnerability Assessment & Management (NM) - Intermediate, Coaching & Mentoring (NM) - Intermediate, Scripting & Integration (NM) - Intermediate, Triage (NM) - Advanced, Security Practices (NM) - Intermediate, Secure Information Management (NM) - Intermediate (Inactive) FIND YOUR FUTURE We're excited about the potential people bring to Northwestern Mutual. You can grow your career here while enjoying first-class perks, benefits, and our commitment to a culture of belonging. Flexible work schedules Concierge service Comprehensive benefits Employee resource groups PandoLogic. Category:Technology,
01/07/2026
Full time
Bring your best! What this role needs: Passionate about security A team player who enjoys collaborating with cross-functional teams A great communicator (written and verbal) with an ability to articulate complex topics in a clear and concise manner Employs a flexible and constructive approach when solving problems Proficient with development and scripting languages, Python and JavaScript preferred Strong knowledge of data security principles, encryption techniques, access controls, and secure coding practices Experienced with infrastructure-as-code concepts and tooling, including Terraform and YAML Continuously looking for opportunities to improve our processes and capabilities Experienced working with application and engineering teams A self-directed individual contributor What you'll get to do: Engineer solutions with a focus on automation to reduce manual and repetitive tasks Guide and advise application and engineering teams in the area of Data Security Manage day-to-day support of Data Security tools integrated into our on-premise and cloud database environments (relational & NoSQL) Manage technical support of Data Security capabilities and respond to service and escalation tickets within service-level agreements Design, implement, and maintain procedures, processes, and methodologies that support DevSecOps capabilities Actively monitor, assess, and recommend tactical and strategic initiatives based on new and emerging threats posing risk to our company Stay apprised of current and proposed security changes impacting regulatory, privacy, and security industry best practices Manage remediation efforts after security assessment findings outline weaknesses requiring attention Mentor other staff members to ensure consistency, quality and productivity of deliverables Further impress us with: Bachelor's or equivalent experience with an emphasis in computer science, computer engineering, software engineering, or an MIS related field 5+ years of experience in cloud and on-prem technologies (systems administration of Unix/Linux/Windows, AWS PaaS databases, database activity monitoring, DSPM tools) 5+ years of experience in development, infrastructure, or cybersecurity Understanding of applicable risk management frameworks from NIST and Data Security Maturity Model Experience with CICD pipelines to automate application and infrastructure code deployments Experience with workload orchestration platforms such as Kubernetes Understanding of a wide-range of cybersecurity capabilities including data security, security engineering, identity and access management, incident response, logging and monitoring, and penetration testing Relevant certifications from GIAC, ISC(2), ISACA, and other recognized cybersecurity industry organizations Compensation Range: Pay Range - Start: $102,060.00 Pay Range - End: $189,540.00 Geographic Specific Pay Structure: Structure 110: $112,280.00 USD - $208,520.00 USD Structure 115: $117,390.00 USD - $218,010.00 USD We believe in fairness and transparency. It's why we share the salary range for most of our roles. However, final salaries are based on a number of factors, including the skills and experience of the candidate; the current market; location of the candidate; and other factors uncovered in the hiring process. The standard pay structure is listed but if you're living in California, New York City or other eligible location, geographic specific pay structures, compensation and benefits could be applicable, click here to learn more. Grow your career with a best-in-class company that puts our clients' interests at the center of all we do. Get started now! Northwestern Mutual is an equal opportunity employer who welcomes and encourages diversity in the workforce. We are committed to creating and maintaining an environment in which each employee can contribute creative ideas, seek challenges, assume leadership and continue to focus on meeting and exceeding business and personal objectives. Skills Cloud & IT Infrastructure (NM) - Advanced, Analytical Thinking (NM) - Advanced, Cloud Security (NM) - Intermediate, Threat Awareness (NM) - Advanced, Application Security (NM) - Intermediate, DevOps (NM) - Advanced, Cross Functional Partnering & Planning (NM) - Intermediate, Professional Curiosity (NM) - Advanced (Inactive), Risk Management (NM) - Intermediate, System Development (NM) - Advanced, Strategic Thinking (NM) - Intermediate, Customer Centricity (NM) - Intermediate, Technology R&D (NM) - Intermediate, Adaptive Communication (NM) - Intermediate, Engineering Expertise & Practices (NM) - Advanced, Vulnerability Assessment & Management (NM) - Intermediate, Coaching & Mentoring (NM) - Intermediate, Scripting & Integration (NM) - Intermediate, Triage (NM) - Advanced, Security Practices (NM) - Intermediate, Secure Information Management (NM) - Intermediate (Inactive) FIND YOUR FUTURE We're excited about the potential people bring to Northwestern Mutual. You can grow your career here while enjoying first-class perks, benefits, and our commitment to a culture of belonging. Flexible work schedules Concierge service Comprehensive benefits Employee resource groups PandoLogic. Category:Technology,
Senior Software Engineer
Axelon Services Corporation Malvern, Pennsylvania
Job Title: Senior Software Engineer Location: Malvern, PA Pay: Competitive Salary Job Responsibilities: Acts as the technical coach for a team or domain, being recognized and approached by team members for expertise and guidance, ensures consistent application of best practices and high standards across projects. Sets quality goals and development practices with the team, driving continuous improvement and excellence in software development through rigorous standards and methodologies. Integrates software components and third-party libraries into existing systems, ensuring seamless functionality and interoperability with minimal disruption. Conducts and participates in code reviews, providing constructive feedback to peers and ensuring adherence to coding standards and best practices to maintain code quality. Analyzes and optimizes application performance, identifying and resolving bottlenecks to enhance user experience and system efficiency, ensuring the software meets performance benchmarks. Stays current with emerging technologies and industry trends, incorporating new tools and methodologies to improve development processes and product quality. Develops software to log and store performance data, usage, errors, etc., enabling continuous monitoring of solutions and products for improved reliability and performance. Collaborates with cross-functional teams, including product managers, designers, and QA engineers, to define, design, and ship new features, ensuring alignment with project goals and user needs. Resolves a wide range of moderate complexity requests in creative ways, demonstrating good judgment in selecting methods and techniques for obtaining solutions. Key Responsibilities: Design, develop, and maintain Java-based microservices using Spring Boot and Java 17. Lead and contribute to secure coding practices following OWASP standards and regulatory needs (HIPAA, medical device software). Integrate with internal and external APIs using REST and GraphQL. Participate in Test-Driven Development (TDD) and help expand test automation coverage. Implement and support CI/CD pipelines using GitHub Actions and Jenkins. Build and deploy services to AWS EKS; leverage AWS services such as Cognito, CloudWatch, Secrets Manager, and X-Ray. Collaborate with DevOps, QA, and Product teams using Azure DevOps for sprint planning, work tracking, and test plans. Perform code reviews and mentor junior developers. Support observability efforts using tools like Datadog, Prometheus, and Grafana. Work within Agile teams to deliver features aligned with business objectives. Contribute to continuous improvement, architectural decisions, and design discussions. Minimum Qualifications: Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience). 5 years of hands-on experience in Java (17) and Spring Boot application development. Solid understanding of microservices architecture and secure RESTful API design. Strong experience with Git, Maven, Jenkins, and GitHub Actions. Proficiency in CI/CD and test automation. Experience working in cloud environments, especially AWS. Familiarity with containerization (Docker, EKS/Kubernetes). Excellent debugging, troubleshooting, and code review skills. Comfortable using Azure DevOps for Boards, Test Plans, and documentation. Minimum Required Education: Bachelor's / Master's Degree in Computer Science, Software Engineering, Information Technology or equivalent. Master's Degree in Information Technology, Computer Science, Software Engineering or equivalent. Preferred Skills & Tools: Test Automation: JUnit, TestNG, Mockito, Selenium, Cypress, Karate, Rest Assured. API Design: Swagger/OpenAPI, SpringDoc, GraphQL, AWS API Gateway. Messaging & Integration: RabbitMQ, Spring Cloud Stream, Feign, WebClient, Retrofit. Monitoring & Observability: Datadog, Prometheus, Grafana, AWS CloudWatch, X-Ray, ELK/EFK stack. Build & Infra: Maven, Terraform, AWS CDK, Docker, Nexus or Artifactory. Agile & SDLC: Azure DevOps Boards, Jama, Helix ALM, Confluence, Miro.
01/06/2026
Full time
Job Title: Senior Software Engineer Location: Malvern, PA Pay: Competitive Salary Job Responsibilities: Acts as the technical coach for a team or domain, being recognized and approached by team members for expertise and guidance, ensures consistent application of best practices and high standards across projects. Sets quality goals and development practices with the team, driving continuous improvement and excellence in software development through rigorous standards and methodologies. Integrates software components and third-party libraries into existing systems, ensuring seamless functionality and interoperability with minimal disruption. Conducts and participates in code reviews, providing constructive feedback to peers and ensuring adherence to coding standards and best practices to maintain code quality. Analyzes and optimizes application performance, identifying and resolving bottlenecks to enhance user experience and system efficiency, ensuring the software meets performance benchmarks. Stays current with emerging technologies and industry trends, incorporating new tools and methodologies to improve development processes and product quality. Develops software to log and store performance data, usage, errors, etc., enabling continuous monitoring of solutions and products for improved reliability and performance. Collaborates with cross-functional teams, including product managers, designers, and QA engineers, to define, design, and ship new features, ensuring alignment with project goals and user needs. Resolves a wide range of moderate complexity requests in creative ways, demonstrating good judgment in selecting methods and techniques for obtaining solutions. Key Responsibilities: Design, develop, and maintain Java-based microservices using Spring Boot and Java 17. Lead and contribute to secure coding practices following OWASP standards and regulatory needs (HIPAA, medical device software). Integrate with internal and external APIs using REST and GraphQL. Participate in Test-Driven Development (TDD) and help expand test automation coverage. Implement and support CI/CD pipelines using GitHub Actions and Jenkins. Build and deploy services to AWS EKS; leverage AWS services such as Cognito, CloudWatch, Secrets Manager, and X-Ray. Collaborate with DevOps, QA, and Product teams using Azure DevOps for sprint planning, work tracking, and test plans. Perform code reviews and mentor junior developers. Support observability efforts using tools like Datadog, Prometheus, and Grafana. Work within Agile teams to deliver features aligned with business objectives. Contribute to continuous improvement, architectural decisions, and design discussions. Minimum Qualifications: Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience). 5 years of hands-on experience in Java (17) and Spring Boot application development. Solid understanding of microservices architecture and secure RESTful API design. Strong experience with Git, Maven, Jenkins, and GitHub Actions. Proficiency in CI/CD and test automation. Experience working in cloud environments, especially AWS. Familiarity with containerization (Docker, EKS/Kubernetes). Excellent debugging, troubleshooting, and code review skills. Comfortable using Azure DevOps for Boards, Test Plans, and documentation. Minimum Required Education: Bachelor's / Master's Degree in Computer Science, Software Engineering, Information Technology or equivalent. Master's Degree in Information Technology, Computer Science, Software Engineering or equivalent. Preferred Skills & Tools: Test Automation: JUnit, TestNG, Mockito, Selenium, Cypress, Karate, Rest Assured. API Design: Swagger/OpenAPI, SpringDoc, GraphQL, AWS API Gateway. Messaging & Integration: RabbitMQ, Spring Cloud Stream, Feign, WebClient, Retrofit. Monitoring & Observability: Datadog, Prometheus, Grafana, AWS CloudWatch, X-Ray, ELK/EFK stack. Build & Infra: Maven, Terraform, AWS CDK, Docker, Nexus or Artifactory. Agile & SDLC: Azure DevOps Boards, Jama, Helix ALM, Confluence, Miro.
Automation Solutions Architect Lead Specialist Engineer
JPS Tech Solutions LLC Huntsville, Alabama
Job Title: Automation Solutions Architect Lead Specialist Engineer Location: Huntsville, Alabama Experience: 12+ Years Employment Type: Contract Interview Type: In-Person or Webcam Job Description We are seeking an Automation Solutions Architect Lead Specialist Engineer with extensive experience in designing, implementing, and optimizing enterprise automation solutions. This role requires strong technical expertise, leadership skills, and the ability to drive automation strategy across complex environments. The ideal candidate will have deep hands-on knowledge of automation frameworks, cloud platforms, CI/CD, scripting, and orchestration technologies. Key Responsibilities Lead the design and architecture of scalable automation solutions across enterprise systems, infrastructure, and applications. Develop automation strategies, frameworks, standards, and best practices to support operational efficiency and reliability. Collaborate with cross-functional teams, including development, DevOps, security, and infrastructure, to implement end-to-end automation. Evaluate existing automation frameworks and recommend improvements for performance, security, and maintainability. Lead automation initiatives such as CI/CD pipeline optimization, configuration management, and infrastructure automation. Implement advanced automation using scripting, orchestration tools, and cloud-native services. Troubleshoot complex automation issues, perform root cause analysis, and ensure timely resolution. Mentor engineering teams and provide technical guidance throughout automation project lifecycle. Drive continuous improvement processes, system modernization, and emerging automation technology adoption. Prepare architecture documentation, technical designs, and solution roadmaps for stakeholders and leadership. Required Qualifications 12+ years of hands-on experience in automation engineering, architecture, or related technical roles. Strong expertise with automation and orchestration tools such as Ansible, Terraform, Puppet, Chef, Jenkins, GitLab CI/CD, or similar. Solid experience in cloud automation across AWS, Azure, or GCP environments. Proficiency in scripting languages such as Python, Shell, Bash, or PowerShell. Deep understanding of DevOps methodologies, Infrastructure as Code, and configuration management. Experience architecting automation solutions for large-scale enterprise environments. Strong knowledge of containerization platforms and orchestration (Docker, Kubernetes, Helm Familiarity with networking, system administration, virtualization, and microservices architecture. Excellent ability to document high-level and low-level architectural solutions. Strong analytical, problem-solving, communication, and leadership skills. Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or related field.
01/06/2026
Job Title: Automation Solutions Architect Lead Specialist Engineer Location: Huntsville, Alabama Experience: 12+ Years Employment Type: Contract Interview Type: In-Person or Webcam Job Description We are seeking an Automation Solutions Architect Lead Specialist Engineer with extensive experience in designing, implementing, and optimizing enterprise automation solutions. This role requires strong technical expertise, leadership skills, and the ability to drive automation strategy across complex environments. The ideal candidate will have deep hands-on knowledge of automation frameworks, cloud platforms, CI/CD, scripting, and orchestration technologies. Key Responsibilities Lead the design and architecture of scalable automation solutions across enterprise systems, infrastructure, and applications. Develop automation strategies, frameworks, standards, and best practices to support operational efficiency and reliability. Collaborate with cross-functional teams, including development, DevOps, security, and infrastructure, to implement end-to-end automation. Evaluate existing automation frameworks and recommend improvements for performance, security, and maintainability. Lead automation initiatives such as CI/CD pipeline optimization, configuration management, and infrastructure automation. Implement advanced automation using scripting, orchestration tools, and cloud-native services. Troubleshoot complex automation issues, perform root cause analysis, and ensure timely resolution. Mentor engineering teams and provide technical guidance throughout automation project lifecycle. Drive continuous improvement processes, system modernization, and emerging automation technology adoption. Prepare architecture documentation, technical designs, and solution roadmaps for stakeholders and leadership. Required Qualifications 12+ years of hands-on experience in automation engineering, architecture, or related technical roles. Strong expertise with automation and orchestration tools such as Ansible, Terraform, Puppet, Chef, Jenkins, GitLab CI/CD, or similar. Solid experience in cloud automation across AWS, Azure, or GCP environments. Proficiency in scripting languages such as Python, Shell, Bash, or PowerShell. Deep understanding of DevOps methodologies, Infrastructure as Code, and configuration management. Experience architecting automation solutions for large-scale enterprise environments. Strong knowledge of containerization platforms and orchestration (Docker, Kubernetes, Helm Familiarity with networking, system administration, virtualization, and microservices architecture. Excellent ability to document high-level and low-level architectural solutions. Strong analytical, problem-solving, communication, and leadership skills. Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or related field.
GenAI Senior Developer
Synkriom Dallas, Texas
Job Title: GenAI Senior Developer - AWS Bedrock Role Type: Contract Duration: 6 Months Location: Dallas, TX (Onsite) Experience: 7+ Years Skill Category: Digital Cloud DevOps Job Summary We are seeking a highly skilled GenAI Senior Developer with strong Cloud DevOps expertise to design, build, and deploy enterprise-grade Generative AI solutions onAWS Bedrock. The ideal candidate will have hands-on experience withLLM-based applications, cloud-native architectures, and DevOps automation, ensuring scalable, secure, and reliable AI platforms. Key Responsibilities Design, develop, and deploy Generative AI applications using AWS Bedrock and foundation models. Build and optimize LLM pipelines, including prompt engineering, inference workflows, and model integrations. Implement Retrieval-Augmented Generation (RAG) solutions using vector databases and semantic search. Develop backend services using Python and/or NodeJS for AI-driven applications. Automate cloud infrastructure using Terraform / CloudFormation following Infrastructure-as-Code (IaC) best practices. Build and manage CI/CD pipelines for AI and cloud workloads using Git-based workflows. Deploy and manage workloads on AWS services such as Lambda, ECS, EKS, EC2, S3, DynamoDB, API Gateway, and SQS. Ensure high availability, scalability, and performance of GenAI platforms. Implement monitoring, logging, and observability using CloudWatch and APM tools. Apply security best practices including IAM roles, encryption, secrets management, and compliance controls. Collaborate with data scientists, ML engineers, and DevOps teams to productionize AI models. Troubleshoot production issues and optimize system reliability using SRE principles. Required Skills 7+ years of experience in Cloud DevOps / Software Engineering. Strong expertise in AWS Cloud and cloud-native architectures. Hands-on experience with AWS Bedrock and Generative AI solutions. Proficiency in Python (preferred) and/or NodeJS. Experience with LLMs, prompt engineering, RAG, vector databases (Pinecone, FAISS, OpenSearch, etc.). Strong experience with Terraform and Infrastructure-as-Code. CI/CD experience using GitLab, GitHub, or Jenkins. Experience with Docker and Kubernetes (EKS/ECS). Strong understanding of Linux, networking, and cloud security. Excellent troubleshooting and problem-solving skills. Preferred Qualifications Experience with LangChain, Agents, Agentic AI frameworks. Knowledge of MLOps practices and model lifecycle management. Experience with APM tools like Dynatrace, Datadog, or New Relic. Prior experience deploying enterprise-scale GenAI platforms. Strong communication skills and ability to work onsite with cross-functional teams.
12/17/2025
Job Title: GenAI Senior Developer - AWS Bedrock Role Type: Contract Duration: 6 Months Location: Dallas, TX (Onsite) Experience: 7+ Years Skill Category: Digital Cloud DevOps Job Summary We are seeking a highly skilled GenAI Senior Developer with strong Cloud DevOps expertise to design, build, and deploy enterprise-grade Generative AI solutions onAWS Bedrock. The ideal candidate will have hands-on experience withLLM-based applications, cloud-native architectures, and DevOps automation, ensuring scalable, secure, and reliable AI platforms. Key Responsibilities Design, develop, and deploy Generative AI applications using AWS Bedrock and foundation models. Build and optimize LLM pipelines, including prompt engineering, inference workflows, and model integrations. Implement Retrieval-Augmented Generation (RAG) solutions using vector databases and semantic search. Develop backend services using Python and/or NodeJS for AI-driven applications. Automate cloud infrastructure using Terraform / CloudFormation following Infrastructure-as-Code (IaC) best practices. Build and manage CI/CD pipelines for AI and cloud workloads using Git-based workflows. Deploy and manage workloads on AWS services such as Lambda, ECS, EKS, EC2, S3, DynamoDB, API Gateway, and SQS. Ensure high availability, scalability, and performance of GenAI platforms. Implement monitoring, logging, and observability using CloudWatch and APM tools. Apply security best practices including IAM roles, encryption, secrets management, and compliance controls. Collaborate with data scientists, ML engineers, and DevOps teams to productionize AI models. Troubleshoot production issues and optimize system reliability using SRE principles. Required Skills 7+ years of experience in Cloud DevOps / Software Engineering. Strong expertise in AWS Cloud and cloud-native architectures. Hands-on experience with AWS Bedrock and Generative AI solutions. Proficiency in Python (preferred) and/or NodeJS. Experience with LLMs, prompt engineering, RAG, vector databases (Pinecone, FAISS, OpenSearch, etc.). Strong experience with Terraform and Infrastructure-as-Code. CI/CD experience using GitLab, GitHub, or Jenkins. Experience with Docker and Kubernetes (EKS/ECS). Strong understanding of Linux, networking, and cloud security. Excellent troubleshooting and problem-solving skills. Preferred Qualifications Experience with LangChain, Agents, Agentic AI frameworks. Knowledge of MLOps practices and model lifecycle management. Experience with APM tools like Dynatrace, Datadog, or New Relic. Prior experience deploying enterprise-scale GenAI platforms. Strong communication skills and ability to work onsite with cross-functional teams.
SRE / DevOps Engineer
JPS Tech Solutions LLC Des Moines, Iowa
Job Title: SRE / DevOps Engineer Experience: 12+ Years Location: Des Moines, IL Employment Type: Contract / Full-Time (as applicable) Job Description We are looking for an experienced SRE / DevOps Engineer with strong troubleshooting expertise and hands-on experience in CI/CD, Kubernetes, and the ELK Stack. The selected candidate will play a key role in designing, implementing, and improving DevOps processes, automation pipelines, and monitoring systems that support efficient and scalable software delivery. Key Responsibilities Lead the development and optimization of DevOps practices across the organization. Build, maintain, and enhance CI/CD pipelines using Jenkins and Groovy. Manage and support Kubernetes clusters and related infrastructure. Implement, manage, and optimize ELK Stack (Elasticsearch, Logstash, Kibana) for monitoring and logging. Establish and maintain continuous build, integration, and deployment environments. Review, verify, and troubleshoot software code to improve reliability and performance. Set up tools, systems, and infrastructure for development, testing, and deployment. Monitor product and operational processes across the full lifecycle and improve reliability. Build and encourage automation to enhance delivery efficiency. Perform vulnerability assessments and implement security and risk controls. Drive incident management and conduct root cause analysis. Select, integrate, and deploy DevOps and CI/CD tools. Lead continuous improvement initiatives for deployment and release operations. Mentor and guide junior DevOps and engineering team members. Communicate and coordinate with internal teams and external stakeholders. Track KPIs and customer experience metrics to support decision-making. Provide periodic reporting to leadership and customers on progress and performance. Required Qualifications 12+ years of overall IT experience with a strong background in DevOps or SRE. Hands-on experience in Jenkins and Groovy scripting for CI/CD pipelines. Strong troubleshooting and problem-resolution capabilities. Proven experience managing Kubernetes platforms. Practical experience with Elasticsearch, Logstash, and Kibana. Experience with infrastructure automation and monitoring tools. Strong knowledge of secure DevOps practices and vulnerability management. Demonstrated ability to perform root cause analysis in incident situations. Excellent communication, collaboration, and team mentoring skills. Preferred Skills Experience with cloud platforms (AWS, Azure, or GCP) Knowledge of Terraform, Ansible, Helm, or ArgoCD Experience working in agile environments Exposure to production support and on-call rotation environments
12/17/2025
Job Title: SRE / DevOps Engineer Experience: 12+ Years Location: Des Moines, IL Employment Type: Contract / Full-Time (as applicable) Job Description We are looking for an experienced SRE / DevOps Engineer with strong troubleshooting expertise and hands-on experience in CI/CD, Kubernetes, and the ELK Stack. The selected candidate will play a key role in designing, implementing, and improving DevOps processes, automation pipelines, and monitoring systems that support efficient and scalable software delivery. Key Responsibilities Lead the development and optimization of DevOps practices across the organization. Build, maintain, and enhance CI/CD pipelines using Jenkins and Groovy. Manage and support Kubernetes clusters and related infrastructure. Implement, manage, and optimize ELK Stack (Elasticsearch, Logstash, Kibana) for monitoring and logging. Establish and maintain continuous build, integration, and deployment environments. Review, verify, and troubleshoot software code to improve reliability and performance. Set up tools, systems, and infrastructure for development, testing, and deployment. Monitor product and operational processes across the full lifecycle and improve reliability. Build and encourage automation to enhance delivery efficiency. Perform vulnerability assessments and implement security and risk controls. Drive incident management and conduct root cause analysis. Select, integrate, and deploy DevOps and CI/CD tools. Lead continuous improvement initiatives for deployment and release operations. Mentor and guide junior DevOps and engineering team members. Communicate and coordinate with internal teams and external stakeholders. Track KPIs and customer experience metrics to support decision-making. Provide periodic reporting to leadership and customers on progress and performance. Required Qualifications 12+ years of overall IT experience with a strong background in DevOps or SRE. Hands-on experience in Jenkins and Groovy scripting for CI/CD pipelines. Strong troubleshooting and problem-resolution capabilities. Proven experience managing Kubernetes platforms. Practical experience with Elasticsearch, Logstash, and Kibana. Experience with infrastructure automation and monitoring tools. Strong knowledge of secure DevOps practices and vulnerability management. Demonstrated ability to perform root cause analysis in incident situations. Excellent communication, collaboration, and team mentoring skills. Preferred Skills Experience with cloud platforms (AWS, Azure, or GCP) Knowledge of Terraform, Ansible, Helm, or ArgoCD Experience working in agile environments Exposure to production support and on-call rotation environments

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