Join a Team That Makes a Difference! At Noble, the work you do matters. We manufacture innovative products that support the military, advance the medical field, and improve everyday life. Whether it's enhancing safety, enabling critical care, or solving real-world challenges, our solutions help people when it matters most. Be part of a purpose-driven team where your skills contribute to meaningful change. Due to continued rapid growth, Noble Biomaterials, Inc. is seeking a highly organized and detail-oriented Technical Project Manager to join our team. This role will support product development and testing activities across our antimicrobial, wellness, and conductive materials businesses. Serve as the central coordinator for multiple development projects, helping teams stay on track while managing testing, certifications, documentation, purchasing, and supplier relationships. The ideal candidate enjoys both project coordination and technical problem-solving and can successfully manage multiple priorities in a fast-paced environment. What You'll Get: Starting Pay: $64,700-84,000 annual salary. Based on experience. Weekly Pay - Get Paid Every Thursday! Full Benefits Starting the 1st of the Month After Hire! Medical, Dental, Vision $2,000-$4,000 Health Reimbursement Account (HRA) An account that is funded by the company to cover a portion of the in-network deductible for you and your family. (debit card) Company-Paid Life, Short & Long-Term Disability FSA, Voluntary Insurance Options 401(k) + Company Match (after 6 months) 11 Paid Holidays + PTO What You'll Do: Project Management & Coordination Track project progress, actions, and timelines across multiple development programs. Coordinate activities between R&D, Operations, Finance, Sales, suppliers, and testing laboratories. Gather information, identify issues, and recommend solutions. Support material sourcing, bills of materials, and cost analysis. Take ownership of assigned product development projects. Product Testing & Documentation Coordinate and manage product testing with external laboratories. Support antimicrobial and conductive performance testing programs. Maintain certification records, test reports, and technical documentation. Manage product samples and ensure projects move efficiently through development. Review test results and identify potential concerns related to product claims or requirements. Budget & Purchasing Support management of R&D testing budgets. Process purchases and coordinate vendor payments with Finance. Track spending and maintain accurate records. Qualifications: Required 3+ years of professional experience in project coordination, product development, testing, operations, or a related field. Proven ability to manage multiple projects and follow through on commitments. Strong organizational skills and attention to detail. Excellent communication and relationship-building skills. Ability to work cross-functionally and influence outcomes without direct authority. Strong analytical and Microsoft Excel skills. Ability to adapt to changing priorities and business needs. Preferred Bachelor's degree in a technical, scientific, engineering, or related field. Experience working with testing laboratories or product certification programs. Product development or commercialization experience. Familiarity with ASTM, ISO, or AATCC testing standards. Knowledge of textiles, antimicrobial technologies, conductive materials, or related industries. Experience with ISO 9001 and/or ISO/IEC 17025 quality systems. What We Offer Opportunity to work directly with senior R&D leadership. Broad exposure to product development, testing, and commercialization activities. Technical training and development opportunities. Visible impact within a growing, innovation-focused organization. What Success Looks Like In your first year, you will: Independently coordinate testing, documentation, and project activities. Maintain accurate project status and proactively drive follow-up actions. Provide well-researched recommendations and solutions. Manage budgets and purchasing processes effectively. Successfully lead assigned development projects with minimal oversight. Ready to Join a Team That Invests in You? Apply today and take the next step in your manufacturing career with a company that values its employees and offers weekly pay and benefits that start right away! Equal Opportunity Employer/Veterans/Disabled Compensation details: 0 Yearly Salary PI2a363eef83f1-7286
09/23/2026
Full time
Join a Team That Makes a Difference! At Noble, the work you do matters. We manufacture innovative products that support the military, advance the medical field, and improve everyday life. Whether it's enhancing safety, enabling critical care, or solving real-world challenges, our solutions help people when it matters most. Be part of a purpose-driven team where your skills contribute to meaningful change. Due to continued rapid growth, Noble Biomaterials, Inc. is seeking a highly organized and detail-oriented Technical Project Manager to join our team. This role will support product development and testing activities across our antimicrobial, wellness, and conductive materials businesses. Serve as the central coordinator for multiple development projects, helping teams stay on track while managing testing, certifications, documentation, purchasing, and supplier relationships. The ideal candidate enjoys both project coordination and technical problem-solving and can successfully manage multiple priorities in a fast-paced environment. What You'll Get: Starting Pay: $64,700-84,000 annual salary. Based on experience. Weekly Pay - Get Paid Every Thursday! Full Benefits Starting the 1st of the Month After Hire! Medical, Dental, Vision $2,000-$4,000 Health Reimbursement Account (HRA) An account that is funded by the company to cover a portion of the in-network deductible for you and your family. (debit card) Company-Paid Life, Short & Long-Term Disability FSA, Voluntary Insurance Options 401(k) + Company Match (after 6 months) 11 Paid Holidays + PTO What You'll Do: Project Management & Coordination Track project progress, actions, and timelines across multiple development programs. Coordinate activities between R&D, Operations, Finance, Sales, suppliers, and testing laboratories. Gather information, identify issues, and recommend solutions. Support material sourcing, bills of materials, and cost analysis. Take ownership of assigned product development projects. Product Testing & Documentation Coordinate and manage product testing with external laboratories. Support antimicrobial and conductive performance testing programs. Maintain certification records, test reports, and technical documentation. Manage product samples and ensure projects move efficiently through development. Review test results and identify potential concerns related to product claims or requirements. Budget & Purchasing Support management of R&D testing budgets. Process purchases and coordinate vendor payments with Finance. Track spending and maintain accurate records. Qualifications: Required 3+ years of professional experience in project coordination, product development, testing, operations, or a related field. Proven ability to manage multiple projects and follow through on commitments. Strong organizational skills and attention to detail. Excellent communication and relationship-building skills. Ability to work cross-functionally and influence outcomes without direct authority. Strong analytical and Microsoft Excel skills. Ability to adapt to changing priorities and business needs. Preferred Bachelor's degree in a technical, scientific, engineering, or related field. Experience working with testing laboratories or product certification programs. Product development or commercialization experience. Familiarity with ASTM, ISO, or AATCC testing standards. Knowledge of textiles, antimicrobial technologies, conductive materials, or related industries. Experience with ISO 9001 and/or ISO/IEC 17025 quality systems. What We Offer Opportunity to work directly with senior R&D leadership. Broad exposure to product development, testing, and commercialization activities. Technical training and development opportunities. Visible impact within a growing, innovation-focused organization. What Success Looks Like In your first year, you will: Independently coordinate testing, documentation, and project activities. Maintain accurate project status and proactively drive follow-up actions. Provide well-researched recommendations and solutions. Manage budgets and purchasing processes effectively. Successfully lead assigned development projects with minimal oversight. Ready to Join a Team That Invests in You? Apply today and take the next step in your manufacturing career with a company that values its employees and offers weekly pay and benefits that start right away! Equal Opportunity Employer/Veterans/Disabled Compensation details: 0 Yearly Salary PI2a363eef83f1-7286
Location: San Antonio Farinon Park, Dallas - 1201 Elm St At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. The opportunity We are offering you a demanding role. You will use the most advanced Quality models to implement the newest delivery excellence solutions. This position includes possibility to interact within international environment and work with the most recognizable and influential players in Delivery Excellence space. Your key responsibilities Responsible for designing, developing, implementing, and supporting enterprise API solutions using Apigee, ensuring secure, scalable, and high-performing API ecosystems. Accountable for API lifecycle management including API design, development, security, deployment, monitoring, versioning, and governance. Assess, design, build, test, deploy, and document API integrations between enterprise applications, cloud platforms, third-party vendors, and partner systems. Design and implement reusable API proxies, shared flows, security policies, and common integration components. Must be comfortable working in Agile methodology, driving technical discussions, gathering requirements from multiple stakeholders, and preparing technical solution specifications. Develop API management solutions including traffic management, authentication, authorization, rate limiting, caching, and threat protection. Identify root causes of production issues and provide technical solutions for performance optimization and operational stability. Forecast technical risks, dependencies, and mitigation plans and communicate them proactively with architects and delivery managers. Ensure API governance standards, security compliance, and enterprise integration best practices are followed across projects. Contribute to organization assets, accelerators, frameworks, reusable components, and process improvements. Deliver Proof of Concepts (PoCs), conduct code reviews, and mentor junior developers. Implement DevOps and CI/CD practices for API development, testing, deployment, and monitoring. Support integration testing, performance testing, security testing, and user acceptance testing activities. Collaborate with business, security, infrastructure, and application teams to deliver scalable API-led connectivity solutions. Key skills: Experience in API Management and Integration projects and hands-on experience in Apigee development. Must have implementation experience using Apigee in at least 2 enterprise-scale projects. Strong experience with Apigee Edge and/or Apigee X. Experience designing and implementing RESTful APIs and API-first architectures. Strong hands-on experience with API Proxy development, Shared Flows, Flow Hooks, API Products, Developers, Apps, and Monetization concepts. Experience implementing API security standards including OAuth 2.0, OpenID Connect, JWT, SAML, API Keys, mTLS, and SSL/TLS. Experience with API Gateway policies such as Spike Arrest, Quota, Caching, Threat Protection, Traffic Management, Message Transformation, and Logging. Strong knowledge of JavaScript and policy-based API development within Apigee. Experience integrating enterprise applications, ERP systems, CRM applications, SaaS platforms, and cloud-native services. Experience with REST, SOAP, JSON, XML, OpenAPI/Swagger specifications, Microservices, and Event-Driven Architecture. Hands-on experience troubleshooting API performance, latency, scalability, and security issues. Experience with logging and monitoring tools such as Splunk, ELK, Dynatrace, Grafana, Cloud Monitoring, or equivalent platforms. Knowledge of CI/CD tools including Jenkins, GitHub, GitLab, Azure DevOps, Maven, and automated deployment pipelines. Experience working with Kubernetes, Docker, and cloud platforms such as Google Cloud Platform (preferred), AWS, or Azure. Understanding of API Governance, API Analytics, Developer Portals, and API Lifecycle Management. Multi-domain expertise and experience with other integration platforms is an added advantage. Strong written and verbal communication skills. Apigee API Engineer Certification or related Google Cloud certifications are preferred. Should be capable of mentoring team members and handling customer interactions independently. Skills and attributes for success: Strong communication skills and ability to collaborate with business delivery teams. Analytical thinking. Strong team-player and self-started attitude. Ability to create quality process documentation. Well organized, attentive to details attitude. To qualify for the role, you must have: College degree in Computer Science, Engineering, Information Technology, or related field. Minimum 3 years of experience in API development, integration, and API management projects. Strong understanding of API Security, API Governance, and Enterprise Integration Patterns. Experience handling production support, incident management, and root cause analysis. Ability to manage technical risks and customer escalations. Ability to interact effectively across business, technical, and leadership teams. Experience working in Agile Scrum and DevOps environments. Additionally, good to have: Experience with other API Management platforms such as IBM API Connect (APIC) and DataPower will be an added advantage. Experience with event streaming platforms such as Kafka or Pub/Sub. Knowledge of project management tools like JIRA, Azure DevOps, and Confluence. Exposure to DevOps automation, Infrastructure as Code (Terraform), and cloud-native architectures. Knowledge of SDLC, Waterfall, Agile, SAFe Agile, and Scrum methodologies. Experience with API monetization and partner onboarding solutions. Understanding of enterprise architecture frameworks and digital transformation programs. Ideally, you'll also have: Ability to define processes for teams. Experience in project audits and reviews. Ability to analyse risks and metrics of projects. What we look for: A Team of people with commercial acumen, technical experience and enthusiasm to learn new things in this fast-moving environment An opportunity to be a part of market-leading, multi-disciplinary team of 250+ professionals, in the only integrated global transaction business worldwide. Opportunities to work with EY ServiceNow practices globally with leading businesses across a range of industries What working at EY offers At EY, we're dedicated to helping our clients, from start-ups to Fortune 500 companies - and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that's right for you About EY As a global leader in assurance, tax, transaction and advisory services, we're using the finance products, expertise and systems we've developed to build a better working world. That starts with a culture that believes in giving you the training, opportunities and creative freedom to make things better. Whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. And with a commitment to hiring and developing the most passionate people, we'll make our ambition to be the best employer by 2020 a reality. If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible. Join us in building a better working world. Apply now What we offer you At EY, we harness our collective strength to empower you to shape your future with confidence through professional growth, personal fulfillment and an inclusive culture. Learn more at We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job is: New York City, Boston, and Washington DC Metro Areas, Washington State, and Southern California offices - $80,300 to $149,100 Bay Area California offices - $83,700 to $155,300 All other offices locations in the US, including Sacramento - $67,000 to $136,800 Individual salaries within these ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage . click apply for full job details
09/23/2026
Full time
Location: San Antonio Farinon Park, Dallas - 1201 Elm St At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. The opportunity We are offering you a demanding role. You will use the most advanced Quality models to implement the newest delivery excellence solutions. This position includes possibility to interact within international environment and work with the most recognizable and influential players in Delivery Excellence space. Your key responsibilities Responsible for designing, developing, implementing, and supporting enterprise API solutions using Apigee, ensuring secure, scalable, and high-performing API ecosystems. Accountable for API lifecycle management including API design, development, security, deployment, monitoring, versioning, and governance. Assess, design, build, test, deploy, and document API integrations between enterprise applications, cloud platforms, third-party vendors, and partner systems. Design and implement reusable API proxies, shared flows, security policies, and common integration components. Must be comfortable working in Agile methodology, driving technical discussions, gathering requirements from multiple stakeholders, and preparing technical solution specifications. Develop API management solutions including traffic management, authentication, authorization, rate limiting, caching, and threat protection. Identify root causes of production issues and provide technical solutions for performance optimization and operational stability. Forecast technical risks, dependencies, and mitigation plans and communicate them proactively with architects and delivery managers. Ensure API governance standards, security compliance, and enterprise integration best practices are followed across projects. Contribute to organization assets, accelerators, frameworks, reusable components, and process improvements. Deliver Proof of Concepts (PoCs), conduct code reviews, and mentor junior developers. Implement DevOps and CI/CD practices for API development, testing, deployment, and monitoring. Support integration testing, performance testing, security testing, and user acceptance testing activities. Collaborate with business, security, infrastructure, and application teams to deliver scalable API-led connectivity solutions. Key skills: Experience in API Management and Integration projects and hands-on experience in Apigee development. Must have implementation experience using Apigee in at least 2 enterprise-scale projects. Strong experience with Apigee Edge and/or Apigee X. Experience designing and implementing RESTful APIs and API-first architectures. Strong hands-on experience with API Proxy development, Shared Flows, Flow Hooks, API Products, Developers, Apps, and Monetization concepts. Experience implementing API security standards including OAuth 2.0, OpenID Connect, JWT, SAML, API Keys, mTLS, and SSL/TLS. Experience with API Gateway policies such as Spike Arrest, Quota, Caching, Threat Protection, Traffic Management, Message Transformation, and Logging. Strong knowledge of JavaScript and policy-based API development within Apigee. Experience integrating enterprise applications, ERP systems, CRM applications, SaaS platforms, and cloud-native services. Experience with REST, SOAP, JSON, XML, OpenAPI/Swagger specifications, Microservices, and Event-Driven Architecture. Hands-on experience troubleshooting API performance, latency, scalability, and security issues. Experience with logging and monitoring tools such as Splunk, ELK, Dynatrace, Grafana, Cloud Monitoring, or equivalent platforms. Knowledge of CI/CD tools including Jenkins, GitHub, GitLab, Azure DevOps, Maven, and automated deployment pipelines. Experience working with Kubernetes, Docker, and cloud platforms such as Google Cloud Platform (preferred), AWS, or Azure. Understanding of API Governance, API Analytics, Developer Portals, and API Lifecycle Management. Multi-domain expertise and experience with other integration platforms is an added advantage. Strong written and verbal communication skills. Apigee API Engineer Certification or related Google Cloud certifications are preferred. Should be capable of mentoring team members and handling customer interactions independently. Skills and attributes for success: Strong communication skills and ability to collaborate with business delivery teams. Analytical thinking. Strong team-player and self-started attitude. Ability to create quality process documentation. Well organized, attentive to details attitude. To qualify for the role, you must have: College degree in Computer Science, Engineering, Information Technology, or related field. Minimum 3 years of experience in API development, integration, and API management projects. Strong understanding of API Security, API Governance, and Enterprise Integration Patterns. Experience handling production support, incident management, and root cause analysis. Ability to manage technical risks and customer escalations. Ability to interact effectively across business, technical, and leadership teams. Experience working in Agile Scrum and DevOps environments. Additionally, good to have: Experience with other API Management platforms such as IBM API Connect (APIC) and DataPower will be an added advantage. Experience with event streaming platforms such as Kafka or Pub/Sub. Knowledge of project management tools like JIRA, Azure DevOps, and Confluence. Exposure to DevOps automation, Infrastructure as Code (Terraform), and cloud-native architectures. Knowledge of SDLC, Waterfall, Agile, SAFe Agile, and Scrum methodologies. Experience with API monetization and partner onboarding solutions. Understanding of enterprise architecture frameworks and digital transformation programs. Ideally, you'll also have: Ability to define processes for teams. Experience in project audits and reviews. Ability to analyse risks and metrics of projects. What we look for: A Team of people with commercial acumen, technical experience and enthusiasm to learn new things in this fast-moving environment An opportunity to be a part of market-leading, multi-disciplinary team of 250+ professionals, in the only integrated global transaction business worldwide. Opportunities to work with EY ServiceNow practices globally with leading businesses across a range of industries What working at EY offers At EY, we're dedicated to helping our clients, from start-ups to Fortune 500 companies - and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that's right for you About EY As a global leader in assurance, tax, transaction and advisory services, we're using the finance products, expertise and systems we've developed to build a better working world. That starts with a culture that believes in giving you the training, opportunities and creative freedom to make things better. Whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. And with a commitment to hiring and developing the most passionate people, we'll make our ambition to be the best employer by 2020 a reality. If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible. Join us in building a better working world. Apply now What we offer you At EY, we harness our collective strength to empower you to shape your future with confidence through professional growth, personal fulfillment and an inclusive culture. Learn more at We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job is: New York City, Boston, and Washington DC Metro Areas, Washington State, and Southern California offices - $80,300 to $149,100 Bay Area California offices - $83,700 to $155,300 All other offices locations in the US, including Sacramento - $67,000 to $136,800 Individual salaries within these ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage . click apply for full job details
The Global Program Controls organization provides governance, reporting, controls processes, cost management support, and portfolio visibility to help Oracle Cloud Infrastructure deliver global data center programs with greater consistency, transparency, and execution discipline. We are seeking a highly experienced individual contributor to help transform complex operational and technical information into accurate, decision-ready insights for senior executives. This role is designed for someone who is relentless about data integrity, intellectually curious, highly responsive, and comfortable operating in a complex, fast-moving, technical environment. The successful candidate will be able to move fluidly between detailed operational data and CEO-level communication-digging into the underlying facts, identifying inconsistencies, resolving ambiguity, and distilling the results into clear, concise, and credible executive reporting. This is not a traditional data analyst, project manager, or communications role. It combines elements of all three. The ideal candidate will bring strong analytical judgment, executive communication skills, technical aptitude, and a delivery-oriented mindset. Prior data center experience is not required. More important is a genuine interest in learning technical subject matter and the ability to become conversant in areas such as data center operations, low-voltage infrastructure, rack and compute deployment, hardware testing, and server turn-up activities. Key Responsibilities Data Integrity and Analytical Rigor Establish confidence in the accuracy, consistency, completeness, and traceability of critical business and operational data. Investigate discrepancies across systems, reports, teams, and data sources, and drive issues through resolution. Ask probing questions, challenge unsupported assumptions, and ensure that reported information can withstand executive scrutiny. Develop practical processes and controls that improve data quality and reporting reliability over time. Identify gaps in available information and work across teams to establish a clear, defensible source of truth. Balance speed with precision, particularly during time-sensitive executive requests and operational escalations. Executive Reporting and Communication Translate highly technical, tactical, or operational information into clear and compelling narratives for the CEO and other senior executives. Produce executive reports, briefings, presentations, summaries, and decision-support materials. Distill large volumes of information into the few insights, risks, decisions, and actions that matter most. Tailor the depth, language, and format of communications to the intended executive audience. Ensure that executive materials are accurate, concise, logically structured, and supported by verifiable data. Anticipate likely executive questions and prepare the supporting analysis needed to answer them. Business and Technical Learning Develop a deep understanding of the company's business model, operations, technology, customers, systems, and key performance drivers. Become comfortable with technical concepts related to data center operations, low-voltage work, rack and compute deployment, hardware validation and testing, server installation, and server turn-up. Learn unfamiliar technical and operational subject matter quickly, even without prior domain experience. Engage confidently with engineers, operators, vendors, and subject-matter experts to understand technical processes, terminology, dependencies, and risks. Ask thoughtful questions and continue learning until able to accurately explain technical topics to both operational and executive audiences. Build strong working relationships with subject-matter experts and learn enough to challenge, clarify, and synthesize their input. Connect information across functions to identify broader implications, dependencies, risks, and opportunities. Approach technical subject matter with curiosity, humility, and genuine enthusiasm rather than hesitation or avoidance. Program Execution and Problem Solving Bring a project manager's discipline to ambiguous, cross-functional work. Define problems, organize workstreams, clarify owners, establish milestones, and drive deliverables to completion. Coordinate across technical, operational, finance, strategy, and leadership teams to obtain required inputs and resolve blockers. Step into urgent or unstructured situations, create order quickly, and drive toward a practical solution. Manage multiple high-priority requests while maintaining accuracy, responsiveness, and sound judgment. Follow through persistently until commitments are completed and issues are resolved. Executive and Operational Support Serve as a trusted, high-leverage partner to senior leadership on critical analyses, executive deliverables, and time-sensitive business issues. Independently take ownership of complex requests with limited initial direction. Help diagnose and resolve urgent business or operational "fire drills." Exercise discretion when handling sensitive, confidential, or executive-level information. Provide flexibility during periods of elevated business activity, including occasional support outside standard working hours when urgent circumstances require it. Responsibilities Candidate Profile The ideal candidate is a senior, hands-on operator who combines intellectual curiosity with an exceptional standard for accuracy. This person is comfortable going deep into the details without losing sight of the larger business narrative. They are not satisfied with numbers simply because they appear in a system or report. They want to understand where the data came from, how it was calculated, whether it is complete, and whether it tells the full story. At the same time, they understand that analysis creates value only when it leads to clarity, decisions, and action. They are energized-not intimidated-by technical complexity and unfamiliar subject matter. They do not need to arrive with deep expertise in data center infrastructure, low-voltage systems, rack and compute deployment, testing, or server turn-up. They do need to enjoy learning how these areas work, be willing to engage deeply with technical experts, and develop enough fluency to identify risks, ask credible questions, and communicate clearly about the work. Required Qualifications Approximately 10-15 years of relevant experience in business operations, strategy and operations, analytics, executive reporting, program management, management consulting, finance, corporate strategy, or a related field. Demonstrated success translating complex technical or operational information into executive-level reports and presentations. Exceptional written communication skills, including the ability to draft concise, polished language suitable for a CEO or board-level audience. Strong analytical judgment and a demonstrated commitment to data accuracy and integrity. Experience investigating inconsistent or incomplete data and coordinating across teams to resolve underlying issues. Proven ability to lead complex, cross-functional initiatives as a senior individual contributor. Strong project and program management capabilities, including planning, prioritization, dependency management, and follow-through. Ability to learn unfamiliar businesses, technologies, infrastructure, and operating models quickly. Demonstrated comfort engaging with detailed technical information and working closely with engineering or operations teams. Comfort operating in an environment with ambiguity, changing priorities, and urgent requests. High degree of ownership, responsiveness, discretion, and professional judgment. This is an onsite position in Nashville, TN. Preferred Qualifications Experience in management consulting, corporate strategy, finance, operations, transformation, technical program management, or an executive office. Experience preparing materials for C-suite executives, boards of directors, investors, or other senior stakeholders. Familiarity with business intelligence, reporting, data governance, operational metrics, or enterprise systems. Experience working in a technically complex, infrastructure-intensive, or operationally demanding environment. Exposure to data center operations, physical infrastructure, low-voltage systems, hardware deployment, testing, commissioning, or related technical environments. Evidence of succeeding across industries or learning a new industry quickly. Advanced proficiency with presentation, spreadsheet, reporting, and data-visualization tools. What Success Looks Like Within the first year, the successful candidate will: Become a trusted source of accurate, well-supported information for senior leadership. Develop a strong working understanding of the company's technical and operational environment. Build practical fluency in data center operations, infrastructure deployment, testing, and server turn-up processes. Improve the clarity, consistency, and credibility of executive reporting. Reduce time spent reconciling conflicting data and resolving recurring reporting issues click apply for full job details
09/23/2026
Full time
The Global Program Controls organization provides governance, reporting, controls processes, cost management support, and portfolio visibility to help Oracle Cloud Infrastructure deliver global data center programs with greater consistency, transparency, and execution discipline. We are seeking a highly experienced individual contributor to help transform complex operational and technical information into accurate, decision-ready insights for senior executives. This role is designed for someone who is relentless about data integrity, intellectually curious, highly responsive, and comfortable operating in a complex, fast-moving, technical environment. The successful candidate will be able to move fluidly between detailed operational data and CEO-level communication-digging into the underlying facts, identifying inconsistencies, resolving ambiguity, and distilling the results into clear, concise, and credible executive reporting. This is not a traditional data analyst, project manager, or communications role. It combines elements of all three. The ideal candidate will bring strong analytical judgment, executive communication skills, technical aptitude, and a delivery-oriented mindset. Prior data center experience is not required. More important is a genuine interest in learning technical subject matter and the ability to become conversant in areas such as data center operations, low-voltage infrastructure, rack and compute deployment, hardware testing, and server turn-up activities. Key Responsibilities Data Integrity and Analytical Rigor Establish confidence in the accuracy, consistency, completeness, and traceability of critical business and operational data. Investigate discrepancies across systems, reports, teams, and data sources, and drive issues through resolution. Ask probing questions, challenge unsupported assumptions, and ensure that reported information can withstand executive scrutiny. Develop practical processes and controls that improve data quality and reporting reliability over time. Identify gaps in available information and work across teams to establish a clear, defensible source of truth. Balance speed with precision, particularly during time-sensitive executive requests and operational escalations. Executive Reporting and Communication Translate highly technical, tactical, or operational information into clear and compelling narratives for the CEO and other senior executives. Produce executive reports, briefings, presentations, summaries, and decision-support materials. Distill large volumes of information into the few insights, risks, decisions, and actions that matter most. Tailor the depth, language, and format of communications to the intended executive audience. Ensure that executive materials are accurate, concise, logically structured, and supported by verifiable data. Anticipate likely executive questions and prepare the supporting analysis needed to answer them. Business and Technical Learning Develop a deep understanding of the company's business model, operations, technology, customers, systems, and key performance drivers. Become comfortable with technical concepts related to data center operations, low-voltage work, rack and compute deployment, hardware validation and testing, server installation, and server turn-up. Learn unfamiliar technical and operational subject matter quickly, even without prior domain experience. Engage confidently with engineers, operators, vendors, and subject-matter experts to understand technical processes, terminology, dependencies, and risks. Ask thoughtful questions and continue learning until able to accurately explain technical topics to both operational and executive audiences. Build strong working relationships with subject-matter experts and learn enough to challenge, clarify, and synthesize their input. Connect information across functions to identify broader implications, dependencies, risks, and opportunities. Approach technical subject matter with curiosity, humility, and genuine enthusiasm rather than hesitation or avoidance. Program Execution and Problem Solving Bring a project manager's discipline to ambiguous, cross-functional work. Define problems, organize workstreams, clarify owners, establish milestones, and drive deliverables to completion. Coordinate across technical, operational, finance, strategy, and leadership teams to obtain required inputs and resolve blockers. Step into urgent or unstructured situations, create order quickly, and drive toward a practical solution. Manage multiple high-priority requests while maintaining accuracy, responsiveness, and sound judgment. Follow through persistently until commitments are completed and issues are resolved. Executive and Operational Support Serve as a trusted, high-leverage partner to senior leadership on critical analyses, executive deliverables, and time-sensitive business issues. Independently take ownership of complex requests with limited initial direction. Help diagnose and resolve urgent business or operational "fire drills." Exercise discretion when handling sensitive, confidential, or executive-level information. Provide flexibility during periods of elevated business activity, including occasional support outside standard working hours when urgent circumstances require it. Responsibilities Candidate Profile The ideal candidate is a senior, hands-on operator who combines intellectual curiosity with an exceptional standard for accuracy. This person is comfortable going deep into the details without losing sight of the larger business narrative. They are not satisfied with numbers simply because they appear in a system or report. They want to understand where the data came from, how it was calculated, whether it is complete, and whether it tells the full story. At the same time, they understand that analysis creates value only when it leads to clarity, decisions, and action. They are energized-not intimidated-by technical complexity and unfamiliar subject matter. They do not need to arrive with deep expertise in data center infrastructure, low-voltage systems, rack and compute deployment, testing, or server turn-up. They do need to enjoy learning how these areas work, be willing to engage deeply with technical experts, and develop enough fluency to identify risks, ask credible questions, and communicate clearly about the work. Required Qualifications Approximately 10-15 years of relevant experience in business operations, strategy and operations, analytics, executive reporting, program management, management consulting, finance, corporate strategy, or a related field. Demonstrated success translating complex technical or operational information into executive-level reports and presentations. Exceptional written communication skills, including the ability to draft concise, polished language suitable for a CEO or board-level audience. Strong analytical judgment and a demonstrated commitment to data accuracy and integrity. Experience investigating inconsistent or incomplete data and coordinating across teams to resolve underlying issues. Proven ability to lead complex, cross-functional initiatives as a senior individual contributor. Strong project and program management capabilities, including planning, prioritization, dependency management, and follow-through. Ability to learn unfamiliar businesses, technologies, infrastructure, and operating models quickly. Demonstrated comfort engaging with detailed technical information and working closely with engineering or operations teams. Comfort operating in an environment with ambiguity, changing priorities, and urgent requests. High degree of ownership, responsiveness, discretion, and professional judgment. This is an onsite position in Nashville, TN. Preferred Qualifications Experience in management consulting, corporate strategy, finance, operations, transformation, technical program management, or an executive office. Experience preparing materials for C-suite executives, boards of directors, investors, or other senior stakeholders. Familiarity with business intelligence, reporting, data governance, operational metrics, or enterprise systems. Experience working in a technically complex, infrastructure-intensive, or operationally demanding environment. Exposure to data center operations, physical infrastructure, low-voltage systems, hardware deployment, testing, commissioning, or related technical environments. Evidence of succeeding across industries or learning a new industry quickly. Advanced proficiency with presentation, spreadsheet, reporting, and data-visualization tools. What Success Looks Like Within the first year, the successful candidate will: Become a trusted source of accurate, well-supported information for senior leadership. Develop a strong working understanding of the company's technical and operational environment. Build practical fluency in data center operations, infrastructure deployment, testing, and server turn-up processes. Improve the clarity, consistency, and credibility of executive reporting. Reduce time spent reconciling conflicting data and resolving recurring reporting issues click apply for full job details
Work Location Type: Hybrid Req Number 334699 About Grainger W.W. Grainger, Inc. is a leading broad line distributor with operations primarily in North America and Japan. At Grainger, We Keep the World Working by serving more than 4.6 million customers worldwide with maintenance, repair and operating (MRO) products and value-added solutions delivered through innovative technology and deep customer expertise. Known for its commitment to service and purpose-driven culture, the Company reported 2025 revenue of $17.9 billion. For more information, visit . Compensation The anticipated base pay compensation range for this position is $112,900.00 - $188,100.00. This role is eligible for an incentive target of up to 10% or $, based on the achievement of individual and company performance objectives in accordance with the current terms of the incentive program which are subject to change. This position is not eligible for any form of sponsorship now or in the future. Individuals requiring sponsorship (e.g. OPT or H1B visa status) should not apply. Only individuals authorized to work in the United States now and for the foreseeable future will be considered for this position. Rewards and Benefits With benefits starting on day one, our programs provide choice and flexibility to meet team members' individual needs, including: Medical, dental, vision, and life insurance plans with coverage starting on day one of employment and 6 free sessions each year with a licensed therapist to support your emotional wellbeing. 23 paid time off (PTO) days annually for full-time employees (accrual prorated based on employment start date) and 6 company holidays per year. 6% company contribution to a 401(k) Retirement Savings Plan each pay period, no employee contribution required. Employee discounts, tuition reimbursement, student loan refinancing and free access to financial counseling, education, and tools. Maternity support programs, nursing benefits, and up to 14 weeks paid leave for birth parents and up to 4 weeks paid leave for non-birth parents. For additional information and details regarding Grainger's benefits, please click on the link below: Grainger Benefits The pay range provided above is not a guarantee of compensation. The range reflects the potential base pay for this role at the time of this posting based on the job grade for this position. Individual base pay compensation will depend, in part, on factors such as geographic work location and relevant experience and skills. The anticipated compensation range described above is subject to change and the compensation ultimately paid may be higher or lower than the range described above. Grainger reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion at any time, consistent with applicable law. Position Details As a Senior Software Engineer (Software Engineer III) on the Data Sharing team in the Product Information Management organization, you will be involved in the full systems life cycle and responsible for designing, coding, configuring, testing, implementing and supporting application software and systems that are delivered on time and within budget. In addition to mentoring junior engineers, you will work closely with technical teams, stakeholders and product managers to understand the business requirements that drive the analysis and physical design of technical solutions. The Data Sharing team is responsible for building and operating APIs and event streams to make product data available to all of Grainger. You Will Develop end-to-end services (including APIs and stream processing) using Java and Spring Boot Build applications and develop product design solutions in partnership with engineers, architects, and analysts leading to scalable and maintainable software solutions Utilize specialized skills based on specific platform or domain as required Implement continuous delivery activities (CICD) and drive engineering best practices Support team activities and pair with peers to work on stories Coach and mentor junior engineers Consistently practice sensible defaults (TDD, pair programming, trunk-based development) Participate in on-call rotation You Have Bachelor's Degree or equivalent experience 3+ years experience with modern software engineering; designing, building, and deploying scalable software applications Understanding of distributed system design Experience analyzing and interpreting complex problems and processes Familiarity with Agile/Scrum methodologies and DevOps practices Experience with Java Experience with Spring Boot, Kafka, MongoDB, PostgreSQL, Terraform, and DataDog This position is not eligible for any form of sponsorship now or in the future. Individuals requiring sponsorship (e.g. OPT or H1B visa status) should not apply. Only individuals authorized to work in the United States now and for the foreseeable future will be considered for this position. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, protected veteran status or any other protected characteristic under federal, state, or local law. We are proud to be an equal opportunity workplace. We are committed to fostering an inclusive, accessible work environment that includes both providing reasonable accommodations to individuals with disabilities during the application and hiring process as well as throughout the course of one's employment, should you need a reasonable accommodation during the application and selection process, including, but not limited to use of our website, any part of the application, interview or hiring process, please advise us so that we can provide appropriate assistance.
09/23/2026
Full time
Work Location Type: Hybrid Req Number 334699 About Grainger W.W. Grainger, Inc. is a leading broad line distributor with operations primarily in North America and Japan. At Grainger, We Keep the World Working by serving more than 4.6 million customers worldwide with maintenance, repair and operating (MRO) products and value-added solutions delivered through innovative technology and deep customer expertise. Known for its commitment to service and purpose-driven culture, the Company reported 2025 revenue of $17.9 billion. For more information, visit . Compensation The anticipated base pay compensation range for this position is $112,900.00 - $188,100.00. This role is eligible for an incentive target of up to 10% or $, based on the achievement of individual and company performance objectives in accordance with the current terms of the incentive program which are subject to change. This position is not eligible for any form of sponsorship now or in the future. Individuals requiring sponsorship (e.g. OPT or H1B visa status) should not apply. Only individuals authorized to work in the United States now and for the foreseeable future will be considered for this position. Rewards and Benefits With benefits starting on day one, our programs provide choice and flexibility to meet team members' individual needs, including: Medical, dental, vision, and life insurance plans with coverage starting on day one of employment and 6 free sessions each year with a licensed therapist to support your emotional wellbeing. 23 paid time off (PTO) days annually for full-time employees (accrual prorated based on employment start date) and 6 company holidays per year. 6% company contribution to a 401(k) Retirement Savings Plan each pay period, no employee contribution required. Employee discounts, tuition reimbursement, student loan refinancing and free access to financial counseling, education, and tools. Maternity support programs, nursing benefits, and up to 14 weeks paid leave for birth parents and up to 4 weeks paid leave for non-birth parents. For additional information and details regarding Grainger's benefits, please click on the link below: Grainger Benefits The pay range provided above is not a guarantee of compensation. The range reflects the potential base pay for this role at the time of this posting based on the job grade for this position. Individual base pay compensation will depend, in part, on factors such as geographic work location and relevant experience and skills. The anticipated compensation range described above is subject to change and the compensation ultimately paid may be higher or lower than the range described above. Grainger reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion at any time, consistent with applicable law. Position Details As a Senior Software Engineer (Software Engineer III) on the Data Sharing team in the Product Information Management organization, you will be involved in the full systems life cycle and responsible for designing, coding, configuring, testing, implementing and supporting application software and systems that are delivered on time and within budget. In addition to mentoring junior engineers, you will work closely with technical teams, stakeholders and product managers to understand the business requirements that drive the analysis and physical design of technical solutions. The Data Sharing team is responsible for building and operating APIs and event streams to make product data available to all of Grainger. You Will Develop end-to-end services (including APIs and stream processing) using Java and Spring Boot Build applications and develop product design solutions in partnership with engineers, architects, and analysts leading to scalable and maintainable software solutions Utilize specialized skills based on specific platform or domain as required Implement continuous delivery activities (CICD) and drive engineering best practices Support team activities and pair with peers to work on stories Coach and mentor junior engineers Consistently practice sensible defaults (TDD, pair programming, trunk-based development) Participate in on-call rotation You Have Bachelor's Degree or equivalent experience 3+ years experience with modern software engineering; designing, building, and deploying scalable software applications Understanding of distributed system design Experience analyzing and interpreting complex problems and processes Familiarity with Agile/Scrum methodologies and DevOps practices Experience with Java Experience with Spring Boot, Kafka, MongoDB, PostgreSQL, Terraform, and DataDog This position is not eligible for any form of sponsorship now or in the future. Individuals requiring sponsorship (e.g. OPT or H1B visa status) should not apply. Only individuals authorized to work in the United States now and for the foreseeable future will be considered for this position. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, protected veteran status or any other protected characteristic under federal, state, or local law. We are proud to be an equal opportunity workplace. We are committed to fostering an inclusive, accessible work environment that includes both providing reasonable accommodations to individuals with disabilities during the application and hiring process as well as throughout the course of one's employment, should you need a reasonable accommodation during the application and selection process, including, but not limited to use of our website, any part of the application, interview or hiring process, please advise us so that we can provide appropriate assistance.
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Rigorous performance evaluation of the Waymo Driver is a critical part of scaling our ride hailing service and achieving Waymo's audacious goals. Waymo data scientists work hand-in-hand with engineering teams at each stage of the software development cycle, employing statistical models and developing metrics and measurement frameworks to ensure that the Waymo Driver meets our strict standards for safety, compliance, and driving and service quality. Autonomous driving presents a new paradigm in data science: in addition to leveraging data collected on-road, we generate our own data using state-of-the-art simulation technology-resulting in denser signals and challenging new problems in estimation and experimental design. In this hybrid role you will report to a data science manager. You will: Develop evaluation frameworks for autonomous vehicle performance, for large-scale ML models, and for the quality of simulation. Develop new metrics, interpret trends, and investigate anomalies in data from simulation and on-road driving. Develop novel statistical methods to handle unique aspects of AV data; e.g. rate estimation with rare events, combining real and synthetic data, etc. Frame and solve ambiguous problems by scoping technical priorities and innovating on statistical methods. Derive data-driven conclusions and communicate findings to senior stakeholders. Establish yourself as the point-of-contact for a significant project area by using data to drive technical decisions and demonstrate success. Collaborate with Product and Engineering partners developing the Waymo Driver and Waymo's simulation software; facilitate deployment readiness decisions for both products. Mentor other data scientists and provide constructive technical feedback within the team and across Waymo. You have: Degree in a quantitative field (e.g. Statistics, Mathematics, Physics) 5+ years of industry experience solving data science problems, or a PhD in a quantitative field and 3+ years of industry experience Expertise using advanced statistical methods in an applied setting; familiarity with ML systems/models Demonstrated knowledge of Python/SQL/R data analysis libraries and packages We prefer: PhD in a quantitative field A demonstrated track record of independently driving data science projects to deliver business value Experience solving problems related to Autonomous Driving or Ride Hailing Experience in adjacent relevant areas like Advanced Machine Learning (Deep Learning and Diffusion models), Traffic Modeling, Safety Evaluation or Prediction The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $204,000-$259,000 USD
09/23/2026
Full time
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Rigorous performance evaluation of the Waymo Driver is a critical part of scaling our ride hailing service and achieving Waymo's audacious goals. Waymo data scientists work hand-in-hand with engineering teams at each stage of the software development cycle, employing statistical models and developing metrics and measurement frameworks to ensure that the Waymo Driver meets our strict standards for safety, compliance, and driving and service quality. Autonomous driving presents a new paradigm in data science: in addition to leveraging data collected on-road, we generate our own data using state-of-the-art simulation technology-resulting in denser signals and challenging new problems in estimation and experimental design. In this hybrid role you will report to a data science manager. You will: Develop evaluation frameworks for autonomous vehicle performance, for large-scale ML models, and for the quality of simulation. Develop new metrics, interpret trends, and investigate anomalies in data from simulation and on-road driving. Develop novel statistical methods to handle unique aspects of AV data; e.g. rate estimation with rare events, combining real and synthetic data, etc. Frame and solve ambiguous problems by scoping technical priorities and innovating on statistical methods. Derive data-driven conclusions and communicate findings to senior stakeholders. Establish yourself as the point-of-contact for a significant project area by using data to drive technical decisions and demonstrate success. Collaborate with Product and Engineering partners developing the Waymo Driver and Waymo's simulation software; facilitate deployment readiness decisions for both products. Mentor other data scientists and provide constructive technical feedback within the team and across Waymo. You have: Degree in a quantitative field (e.g. Statistics, Mathematics, Physics) 5+ years of industry experience solving data science problems, or a PhD in a quantitative field and 3+ years of industry experience Expertise using advanced statistical methods in an applied setting; familiarity with ML systems/models Demonstrated knowledge of Python/SQL/R data analysis libraries and packages We prefer: PhD in a quantitative field A demonstrated track record of independently driving data science projects to deliver business value Experience solving problems related to Autonomous Driving or Ride Hailing Experience in adjacent relevant areas like Advanced Machine Learning (Deep Learning and Diffusion models), Traffic Modeling, Safety Evaluation or Prediction The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $204,000-$259,000 USD
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Driver Understanding and Evaluation team at Waymo develops a rich understanding of Waymo Driver's behavior. With over 1 million driverless miles per week, it is critical that Waymo can understand and assess the behavior of all its vehicles - both in the field and in simulation - with automated algorithms. The learned metrics team is a strategic bet to use machine learning to ensure we can scale to meet Waymo's goals. We collaborate across teams to bring ML to production systems and build what is Waymo's reward function. We build and operate large-scale machine learning and data systems, simulation workflows, and insight tools. We combine expert human judgements and advanced machine learning models to deliver training and evaluation data for the Waymo driver. We are looking for researchers and software engineers who are passionate about developing production grade machine learning systems for our autonomous vehicles and have an incessant drive to improve the performance of our technology stack. This role follows a hybrid work schedule and reports to an Engineering Manager. You will: Lead a top-tier applied ML team focused on building ML models for AV behavior understanding and evaluation, using deep learning and Gen AI. Lead the development of cutting edge Deep Learning and machine learning models to enhance human-led triaging and introduce automation for high-volume workflows Design and build Gen AI LLM/VLM solutions for self driving car behavior analysis and anomaly detection Enhance User Feedback Analysis, collaborate seamlessly with product and business teams to design and implement tools for multi-label classifications, sentiment assessment, comment summarization, root cause analysis and trend analysis of rider feedback Oversee the production and optimization of machine learning models aiming to assess Waymo's expansive fleet of vehicles that cumulatively travel millions of miles. Drive technical direction, and provide technical inputs and guidance to the team. Work closely with PMs and TPMs to help define product requirements and align the technical agenda with the company's business objectives. Collaborate closely with multiple teams (e.g., Prediction, Planning, Research), other technical leads, and senior leaderships across Waymo to deliver on key strategic efforts. You have: B.S. in Computer Science, Robotics, Machine Learning, similar technical field of study, or equivalent practical experience 5+ years of experience leading engineering teams of 5-15 people 7+ years of experience with hands-on experience in machine learning projects 7+ years of hands-on experience building and deploying machine learning products in production environments Experience in at least one of: Foundational Models, VLM, Deep Learning Strong coding experience in C++ and/or Python. Experience with ML frameworks such as TensorFlow, PyTorch, Hugging Face's transformers, along with expertise in deep learning models and ML deployment at scale We prefer: M.S. or Ph.D. degree Computer Science or related quantitative field with a specialization of machine learning. Deep learning experience with Transformers Gen AI LLM/VLM experience Experience with building tools for applied machine learning, including MLOps, evaluation/validation techniques, and model performance optimization. Large-scale data processing and analytical skills. The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $238,000-$302,000 USD
09/23/2026
Full time
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Driver Understanding and Evaluation team at Waymo develops a rich understanding of Waymo Driver's behavior. With over 1 million driverless miles per week, it is critical that Waymo can understand and assess the behavior of all its vehicles - both in the field and in simulation - with automated algorithms. The learned metrics team is a strategic bet to use machine learning to ensure we can scale to meet Waymo's goals. We collaborate across teams to bring ML to production systems and build what is Waymo's reward function. We build and operate large-scale machine learning and data systems, simulation workflows, and insight tools. We combine expert human judgements and advanced machine learning models to deliver training and evaluation data for the Waymo driver. We are looking for researchers and software engineers who are passionate about developing production grade machine learning systems for our autonomous vehicles and have an incessant drive to improve the performance of our technology stack. This role follows a hybrid work schedule and reports to an Engineering Manager. You will: Lead a top-tier applied ML team focused on building ML models for AV behavior understanding and evaluation, using deep learning and Gen AI. Lead the development of cutting edge Deep Learning and machine learning models to enhance human-led triaging and introduce automation for high-volume workflows Design and build Gen AI LLM/VLM solutions for self driving car behavior analysis and anomaly detection Enhance User Feedback Analysis, collaborate seamlessly with product and business teams to design and implement tools for multi-label classifications, sentiment assessment, comment summarization, root cause analysis and trend analysis of rider feedback Oversee the production and optimization of machine learning models aiming to assess Waymo's expansive fleet of vehicles that cumulatively travel millions of miles. Drive technical direction, and provide technical inputs and guidance to the team. Work closely with PMs and TPMs to help define product requirements and align the technical agenda with the company's business objectives. Collaborate closely with multiple teams (e.g., Prediction, Planning, Research), other technical leads, and senior leaderships across Waymo to deliver on key strategic efforts. You have: B.S. in Computer Science, Robotics, Machine Learning, similar technical field of study, or equivalent practical experience 5+ years of experience leading engineering teams of 5-15 people 7+ years of experience with hands-on experience in machine learning projects 7+ years of hands-on experience building and deploying machine learning products in production environments Experience in at least one of: Foundational Models, VLM, Deep Learning Strong coding experience in C++ and/or Python. Experience with ML frameworks such as TensorFlow, PyTorch, Hugging Face's transformers, along with expertise in deep learning models and ML deployment at scale We prefer: M.S. or Ph.D. degree Computer Science or related quantitative field with a specialization of machine learning. Deep learning experience with Transformers Gen AI LLM/VLM experience Experience with building tools for applied machine learning, including MLOps, evaluation/validation techniques, and model performance optimization. Large-scale data processing and analytical skills. The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $238,000-$302,000 USD
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Driver Understanding and Evaluation team at Waymo develops a rich understanding of Waymo Driver's behavior. With over 1 million driverless miles per week, it is critical that Waymo can understand and assess the behavior of all its vehicles - both in the field and in simulation - with automated algorithms. The learned metrics team is a strategic bet to use machine learning to ensure we can scale to meet Waymo's goals. We collaborate across teams to bring ML to production systems and build what is Waymo's reward function. We build and operate large-scale machine learning and data systems, simulation workflows, and insight tools. We combine expert human judgements and advanced machine learning models to deliver training and evaluation data for the Waymo driver. We are looking for researchers and software engineers who are passionate about developing production grade machine learning systems for our autonomous vehicles and have an incessant drive to improve the performance of our technology stack. This role follows a hybrid work schedule and reports to an Engineering Manager. You will: Lead a top-tier applied ML team focused on building ML models for AV behavior understanding and evaluation, using deep learning and Gen AI. Lead the development of cutting edge Deep Learning and machine learning models to enhance human-led triaging and introduce automation for high-volume workflows Design and build Gen AI LLM/VLM solutions for self driving car behavior analysis and anomaly detection Enhance User Feedback Analysis, collaborate seamlessly with product and business teams to design and implement tools for multi-label classifications, sentiment assessment, comment summarization, root cause analysis and trend analysis of rider feedback Oversee the production and optimization of machine learning models aiming to assess Waymo's expansive fleet of vehicles that cumulatively travel millions of miles. Drive technical direction, and provide technical inputs and guidance to the team. Work closely with PMs and TPMs to help define product requirements and align the technical agenda with the company's business objectives. Collaborate closely with multiple teams (e.g., Prediction, Planning, Research), other technical leads, and senior leaderships across Waymo to deliver on key strategic efforts. You have: B.S. in Computer Science, Robotics, Machine Learning, similar technical field of study, or equivalent practical experience 5+ years of experience leading engineering teams of 5-15 people 7+ years of experience with hands-on experience in machine learning projects 7+ years of hands-on experience building and deploying machine learning products in production environments Experience in at least one of: Foundational Models, VLM, Deep Learning Strong coding experience in C++ and/or Python. Experience with ML frameworks such as TensorFlow, PyTorch, Hugging Face's transformers, along with expertise in deep learning models and ML deployment at scale We prefer: M.S. or Ph.D. degree Computer Science or related quantitative field with a specialization of machine learning. Deep learning experience with Transformers Gen AI LLM/VLM experience Experience with building tools for applied machine learning, including MLOps, evaluation/validation techniques, and model performance optimization. Large-scale data processing and analytical skills. The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $238,000-$302,000 USD
09/23/2026
Full time
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Driver Understanding and Evaluation team at Waymo develops a rich understanding of Waymo Driver's behavior. With over 1 million driverless miles per week, it is critical that Waymo can understand and assess the behavior of all its vehicles - both in the field and in simulation - with automated algorithms. The learned metrics team is a strategic bet to use machine learning to ensure we can scale to meet Waymo's goals. We collaborate across teams to bring ML to production systems and build what is Waymo's reward function. We build and operate large-scale machine learning and data systems, simulation workflows, and insight tools. We combine expert human judgements and advanced machine learning models to deliver training and evaluation data for the Waymo driver. We are looking for researchers and software engineers who are passionate about developing production grade machine learning systems for our autonomous vehicles and have an incessant drive to improve the performance of our technology stack. This role follows a hybrid work schedule and reports to an Engineering Manager. You will: Lead a top-tier applied ML team focused on building ML models for AV behavior understanding and evaluation, using deep learning and Gen AI. Lead the development of cutting edge Deep Learning and machine learning models to enhance human-led triaging and introduce automation for high-volume workflows Design and build Gen AI LLM/VLM solutions for self driving car behavior analysis and anomaly detection Enhance User Feedback Analysis, collaborate seamlessly with product and business teams to design and implement tools for multi-label classifications, sentiment assessment, comment summarization, root cause analysis and trend analysis of rider feedback Oversee the production and optimization of machine learning models aiming to assess Waymo's expansive fleet of vehicles that cumulatively travel millions of miles. Drive technical direction, and provide technical inputs and guidance to the team. Work closely with PMs and TPMs to help define product requirements and align the technical agenda with the company's business objectives. Collaborate closely with multiple teams (e.g., Prediction, Planning, Research), other technical leads, and senior leaderships across Waymo to deliver on key strategic efforts. You have: B.S. in Computer Science, Robotics, Machine Learning, similar technical field of study, or equivalent practical experience 5+ years of experience leading engineering teams of 5-15 people 7+ years of experience with hands-on experience in machine learning projects 7+ years of hands-on experience building and deploying machine learning products in production environments Experience in at least one of: Foundational Models, VLM, Deep Learning Strong coding experience in C++ and/or Python. Experience with ML frameworks such as TensorFlow, PyTorch, Hugging Face's transformers, along with expertise in deep learning models and ML deployment at scale We prefer: M.S. or Ph.D. degree Computer Science or related quantitative field with a specialization of machine learning. Deep learning experience with Transformers Gen AI LLM/VLM experience Experience with building tools for applied machine learning, including MLOps, evaluation/validation techniques, and model performance optimization. Large-scale data processing and analytical skills. The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $238,000-$302,000 USD
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Driver Understanding and Evaluation team at Waymo develops a rich understanding of Waymo Driver's behavior. With over 1 million driverless miles per week, it is critical that Waymo can understand and assess the behavior of all its vehicles - both in the field and in simulation - with automated algorithms. The learned metrics team is a strategic bet to use machine learning to ensure we can scale to meet Waymo's goals. We collaborate across teams to bring ML to production systems and build what is Waymo's reward function. We build and operate large-scale machine learning and data systems, simulation workflows, and insight tools. We combine expert human judgements and advanced machine learning models to deliver training and evaluation data for the Waymo driver. We are looking for researchers and software engineers who are passionate about developing production grade machine learning systems for our autonomous vehicles and have an incessant drive to improve the performance of our technology stack. This role follows a hybrid work schedule and reports to an Engineering Manager. You will: Lead a top-tier applied ML team focused on building ML models for AV behavior understanding and evaluation, using deep learning and Gen AI. Lead the development of cutting edge Deep Learning and machine learning models to enhance human-led triaging and introduce automation for high-volume workflows Design and build Gen AI LLM/VLM solutions for self driving car behavior analysis and anomaly detection Enhance User Feedback Analysis, collaborate seamlessly with product and business teams to design and implement tools for multi-label classifications, sentiment assessment, comment summarization, root cause analysis and trend analysis of rider feedback Oversee the production and optimization of machine learning models aiming to assess Waymo's expansive fleet of vehicles that cumulatively travel millions of miles. Drive technical direction, and provide technical inputs and guidance to the team. Work closely with PMs and TPMs to help define product requirements and align the technical agenda with the company's business objectives. Collaborate closely with multiple teams (e.g., Prediction, Planning, Research), other technical leads, and senior leaderships across Waymo to deliver on key strategic efforts. You have: B.S. in Computer Science, Robotics, Machine Learning, similar technical field of study, or equivalent practical experience 5+ years of experience leading engineering teams of 5-15 people 7+ years of experience with hands-on experience in machine learning projects 7+ years of hands-on experience building and deploying machine learning products in production environments Experience in at least one of: Foundational Models, VLM, Deep Learning Strong coding experience in C++ and/or Python. Experience with ML frameworks such as TensorFlow, PyTorch, Hugging Face's transformers, along with expertise in deep learning models and ML deployment at scale We prefer: M.S. or Ph.D. degree Computer Science or related quantitative field with a specialization of machine learning. Deep learning experience with Transformers Gen AI LLM/VLM experience Experience with building tools for applied machine learning, including MLOps, evaluation/validation techniques, and model performance optimization. Large-scale data processing and analytical skills. The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $238,000-$302,000 USD
09/23/2026
Full time
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Driver Understanding and Evaluation team at Waymo develops a rich understanding of Waymo Driver's behavior. With over 1 million driverless miles per week, it is critical that Waymo can understand and assess the behavior of all its vehicles - both in the field and in simulation - with automated algorithms. The learned metrics team is a strategic bet to use machine learning to ensure we can scale to meet Waymo's goals. We collaborate across teams to bring ML to production systems and build what is Waymo's reward function. We build and operate large-scale machine learning and data systems, simulation workflows, and insight tools. We combine expert human judgements and advanced machine learning models to deliver training and evaluation data for the Waymo driver. We are looking for researchers and software engineers who are passionate about developing production grade machine learning systems for our autonomous vehicles and have an incessant drive to improve the performance of our technology stack. This role follows a hybrid work schedule and reports to an Engineering Manager. You will: Lead a top-tier applied ML team focused on building ML models for AV behavior understanding and evaluation, using deep learning and Gen AI. Lead the development of cutting edge Deep Learning and machine learning models to enhance human-led triaging and introduce automation for high-volume workflows Design and build Gen AI LLM/VLM solutions for self driving car behavior analysis and anomaly detection Enhance User Feedback Analysis, collaborate seamlessly with product and business teams to design and implement tools for multi-label classifications, sentiment assessment, comment summarization, root cause analysis and trend analysis of rider feedback Oversee the production and optimization of machine learning models aiming to assess Waymo's expansive fleet of vehicles that cumulatively travel millions of miles. Drive technical direction, and provide technical inputs and guidance to the team. Work closely with PMs and TPMs to help define product requirements and align the technical agenda with the company's business objectives. Collaborate closely with multiple teams (e.g., Prediction, Planning, Research), other technical leads, and senior leaderships across Waymo to deliver on key strategic efforts. You have: B.S. in Computer Science, Robotics, Machine Learning, similar technical field of study, or equivalent practical experience 5+ years of experience leading engineering teams of 5-15 people 7+ years of experience with hands-on experience in machine learning projects 7+ years of hands-on experience building and deploying machine learning products in production environments Experience in at least one of: Foundational Models, VLM, Deep Learning Strong coding experience in C++ and/or Python. Experience with ML frameworks such as TensorFlow, PyTorch, Hugging Face's transformers, along with expertise in deep learning models and ML deployment at scale We prefer: M.S. or Ph.D. degree Computer Science or related quantitative field with a specialization of machine learning. Deep learning experience with Transformers Gen AI LLM/VLM experience Experience with building tools for applied machine learning, including MLOps, evaluation/validation techniques, and model performance optimization. Large-scale data processing and analytical skills. The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $238,000-$302,000 USD
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Business Systems team defines and builds the business IT architecture that supports the commercial operation of Waymo's autonomous fleet. The team stands at the intersection of finance, operations and IT; through creative architecture, expertise and attention to detail, it ensures that Waymo has world-class capabilities across all its business processes. In this hybrid role, you will report to a Senior Manager of Finance,Indirect Procurement & HR Systems. We are seeking a SAP Finance System Architect & Automation Lead to serve as the primary functional authority and strategic leader for our enterprise financial platform. In this role, you will define, design, and own the multi-year technology roadmap across our SAP S/4HANA, Group Reporting, Ariba. Sitting at the intersection of complex monetization models,compliance, and enterprise automation, you will drive the roll out of clean-core S/4HANA architecture while actively deploying next-generation SAP Business AI tools to scale our global financial operations. You will: Strategic Roadmap & System Architecture : Act as the global Subject Matter Expert (SME) and architect for SAP FICO, Group Reporting, and Ariba. Define system vision and evaluate long-term scalability. Deep Functional Expertise in SAP FICO: Extensive knowledge of General Ledger (GL), Accounts Payable (AP), Accounts Receivable (AR), Asset Accounting (AA), and Cost Center/Profit Center Accounting (CCA/PCA), Profitability Analysis and Product Costing. AI & Continuous Automation: Drive the evaluation and rollout of embedded SAP Business AI capabilities including SAP Joule conversational AI and automated cash application ML models. Enterprise Lead Architect: This role is strategically positioned to drive the complete transformation and modernization of our entire financial ecosystem, moving beyond incremental improvements to fundamentally redefine how our financial processes operate within SAP including key projects for Company Code Expansions, Implementing new planning systems etc. Business Requirements Analysis: Partner with Finance, Accounting, and other cross-functional stakeholders to gather, evaluate, verify, and detail comprehensive business needs into process maps, user stories, and functional specifications. SAP Solutioning & Configuration: Design, build, test, and deploy resilient SAP setups, ensuring close alignment with industry best practices, internal controls, and regulatory standards like IFRS 15/ASC 606. You have: Education: Bachelor's degree in Finance, Accounting, Computer Science, or related field (Master's / MBA preferred). Experience: Minimum of 10+ years of experience working as Finance System Architect or Consultant with a primary focus on SAP FICO and Ariba. Life cycle Mastery: Proven track record leading at least 2 full-life cycle SAP implementations (S/4HANA Cloud preferred). Core FICO Depth: Expert-level configuration knowledge across GL, AR, AP, AA, CCA/PCA, and CO-PA. Domain Expertise : Hands-on experience with SAP and Ariba We prefer: SAP Group Reporting (S/4HANA) / EC-CS: Experience with legal and management consolidation processes. SAP Planning & Consolidation (BPC) / SAC Planning: Proficiency in financial budgeting, forecasting, and planning processes and tools. Technical & Analytical Skills: Excellent analytical, problem-solving, and critical thinking skills. Ability to read and understand ABAP code is a strong plus. The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $196,000-$248,000 USD
09/23/2026
Full time
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Business Systems team defines and builds the business IT architecture that supports the commercial operation of Waymo's autonomous fleet. The team stands at the intersection of finance, operations and IT; through creative architecture, expertise and attention to detail, it ensures that Waymo has world-class capabilities across all its business processes. In this hybrid role, you will report to a Senior Manager of Finance,Indirect Procurement & HR Systems. We are seeking a SAP Finance System Architect & Automation Lead to serve as the primary functional authority and strategic leader for our enterprise financial platform. In this role, you will define, design, and own the multi-year technology roadmap across our SAP S/4HANA, Group Reporting, Ariba. Sitting at the intersection of complex monetization models,compliance, and enterprise automation, you will drive the roll out of clean-core S/4HANA architecture while actively deploying next-generation SAP Business AI tools to scale our global financial operations. You will: Strategic Roadmap & System Architecture : Act as the global Subject Matter Expert (SME) and architect for SAP FICO, Group Reporting, and Ariba. Define system vision and evaluate long-term scalability. Deep Functional Expertise in SAP FICO: Extensive knowledge of General Ledger (GL), Accounts Payable (AP), Accounts Receivable (AR), Asset Accounting (AA), and Cost Center/Profit Center Accounting (CCA/PCA), Profitability Analysis and Product Costing. AI & Continuous Automation: Drive the evaluation and rollout of embedded SAP Business AI capabilities including SAP Joule conversational AI and automated cash application ML models. Enterprise Lead Architect: This role is strategically positioned to drive the complete transformation and modernization of our entire financial ecosystem, moving beyond incremental improvements to fundamentally redefine how our financial processes operate within SAP including key projects for Company Code Expansions, Implementing new planning systems etc. Business Requirements Analysis: Partner with Finance, Accounting, and other cross-functional stakeholders to gather, evaluate, verify, and detail comprehensive business needs into process maps, user stories, and functional specifications. SAP Solutioning & Configuration: Design, build, test, and deploy resilient SAP setups, ensuring close alignment with industry best practices, internal controls, and regulatory standards like IFRS 15/ASC 606. You have: Education: Bachelor's degree in Finance, Accounting, Computer Science, or related field (Master's / MBA preferred). Experience: Minimum of 10+ years of experience working as Finance System Architect or Consultant with a primary focus on SAP FICO and Ariba. Life cycle Mastery: Proven track record leading at least 2 full-life cycle SAP implementations (S/4HANA Cloud preferred). Core FICO Depth: Expert-level configuration knowledge across GL, AR, AP, AA, CCA/PCA, and CO-PA. Domain Expertise : Hands-on experience with SAP and Ariba We prefer: SAP Group Reporting (S/4HANA) / EC-CS: Experience with legal and management consolidation processes. SAP Planning & Consolidation (BPC) / SAC Planning: Proficiency in financial budgeting, forecasting, and planning processes and tools. Technical & Analytical Skills: Excellent analytical, problem-solving, and critical thinking skills. Ability to read and understand ABAP code is a strong plus. The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $196,000-$248,000 USD
Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange ️ platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 160+ public exchanges globally and thousands of private exchanges at the edge, the SASE-based Zero Trust Exchange is the world's largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world's hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Staff Site Reliability Engineer (Production Engineer) to join our team. This is a hybrid role (onsite three days a week in San Jose, CA or another Zscaler office; remote can be considered for exceptional candidates) reporting to the Senior Manager, Site Reliability Engineering in the Zero Trust Exchange department. As a key member of the Zero Trust Exchange team, you will own the systems-level reliability and performance of Zscaler's high-throughput bare-metal and cloud infrastructure processing tens of billions of daily transactions across a global, multi-region fleet. This is a software-first SRE role: you will write production-grade code and automation, drive the shift from reactive incident response, and bring engineering discipline to the systems-level work - OS, network and application debugging - that keeps the fleet operating safely at scale. What You'll Do (Role Expectations) Maintain high availability across large-scale bare-metal Linux/BSD fleets, Kubernetes clusters, and custom routing stacks in partnership with Engineering and Networking teams Lead full-cycle incident response by conducting cross-stack troubleshooting using low-level OS and network tools (strace, lsof, tcpdump, iostat, vmstat, gdb), maintain high availability across large-scale bare metal Linux /BSD fleets and Kubernetes clusters Automate infrastructure lifecycle management, service provisioning, configuration workflows, and release deployments using Ansible, Python, and Go; quantify operational toil and convert recurring manual work into durable, version-controlled, testable automation - tracking reduction as an engineering outcome Own end-to-end telemetry (metrics, logs, traces) using Prometheus and OpenTelemetry ecosystems; define and enforce SLOs/error budgets to reduce alert noise Perform architectural reviews, OS/kernel upgrades, capacity and performance tuning, strict CI/CD validation prior to production rollouts; embed operability standards (telemetry, rollback safety, SLO readiness) into service design from the start Who You Are (Success Profile) You thrive in ambiguity. You're comfortable building the path as you walk it, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful. You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution. You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact. You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback-knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust. You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose. What We're Looking For (Minimum Qualifications) US Citizenship is required (due to the nature of assigned customers) Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain 5+ years of experience in Site Reliability Engineering, Production Engineering, or Systems Engineering operating high-scale, low-latency production platforms Proven ability to write and debug executable code live (Python, Go, or Bash) covering core logic/data structures, along with hands-on experience writing Ansible playbooks/tasks for infrastructure automation Deep knowledge of Linux OS internals and kernel troubleshooting (e.g., inodes, open file descriptors, process states, and analyzing df vs du storage discrepancies) Comprehensive understanding of networking protocols and packet-level analysis, including DNS resolution workflows, TLS handshakes, TCP/IP mechanics, and packet captures via tcpdump What Will Make You Stand Out (Preferred Qualifications) Hands-on experience operating and managing FreeBSD / BSD operating systems in production Proven expertise running, scaling, and troubleshooting Kubernetes clusters in high-traffic, low-latency environments and workflow orchestration platforms (Temporal or similar) Deep experience with Prometheus / OpenTelemetry ecosystems, or leveraging AI/ML frameworks/AIOps tools for automated root-cause analysis Zscaler's salary ranges are benchmarked and are determined by role and level. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations and could be higher or lower based on a multitude of factors, including job-related skills, experience, and relevant education or training. The base salary range listed for this full-time position excludes commission/ bonus/ equity (if applicable) + benefits. Base Pay Range $119,000-$170,000 USD At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure. Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including: Various health plans Time off plans for vacation and sick time Parental leave options Retirement options Education reimbursement In-office perks, and more! Learn more about Zscaler's hybrid working model and benefits here. By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines. Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link. Pay Transparency Zscaler complies with all applicable federal, state, and local pay transparency rules. Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.
09/23/2026
Full time
Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange ️ platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 160+ public exchanges globally and thousands of private exchanges at the edge, the SASE-based Zero Trust Exchange is the world's largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world's hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Staff Site Reliability Engineer (Production Engineer) to join our team. This is a hybrid role (onsite three days a week in San Jose, CA or another Zscaler office; remote can be considered for exceptional candidates) reporting to the Senior Manager, Site Reliability Engineering in the Zero Trust Exchange department. As a key member of the Zero Trust Exchange team, you will own the systems-level reliability and performance of Zscaler's high-throughput bare-metal and cloud infrastructure processing tens of billions of daily transactions across a global, multi-region fleet. This is a software-first SRE role: you will write production-grade code and automation, drive the shift from reactive incident response, and bring engineering discipline to the systems-level work - OS, network and application debugging - that keeps the fleet operating safely at scale. What You'll Do (Role Expectations) Maintain high availability across large-scale bare-metal Linux/BSD fleets, Kubernetes clusters, and custom routing stacks in partnership with Engineering and Networking teams Lead full-cycle incident response by conducting cross-stack troubleshooting using low-level OS and network tools (strace, lsof, tcpdump, iostat, vmstat, gdb), maintain high availability across large-scale bare metal Linux /BSD fleets and Kubernetes clusters Automate infrastructure lifecycle management, service provisioning, configuration workflows, and release deployments using Ansible, Python, and Go; quantify operational toil and convert recurring manual work into durable, version-controlled, testable automation - tracking reduction as an engineering outcome Own end-to-end telemetry (metrics, logs, traces) using Prometheus and OpenTelemetry ecosystems; define and enforce SLOs/error budgets to reduce alert noise Perform architectural reviews, OS/kernel upgrades, capacity and performance tuning, strict CI/CD validation prior to production rollouts; embed operability standards (telemetry, rollback safety, SLO readiness) into service design from the start Who You Are (Success Profile) You thrive in ambiguity. You're comfortable building the path as you walk it, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful. You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution. You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact. You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback-knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust. You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose. What We're Looking For (Minimum Qualifications) US Citizenship is required (due to the nature of assigned customers) Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain 5+ years of experience in Site Reliability Engineering, Production Engineering, or Systems Engineering operating high-scale, low-latency production platforms Proven ability to write and debug executable code live (Python, Go, or Bash) covering core logic/data structures, along with hands-on experience writing Ansible playbooks/tasks for infrastructure automation Deep knowledge of Linux OS internals and kernel troubleshooting (e.g., inodes, open file descriptors, process states, and analyzing df vs du storage discrepancies) Comprehensive understanding of networking protocols and packet-level analysis, including DNS resolution workflows, TLS handshakes, TCP/IP mechanics, and packet captures via tcpdump What Will Make You Stand Out (Preferred Qualifications) Hands-on experience operating and managing FreeBSD / BSD operating systems in production Proven expertise running, scaling, and troubleshooting Kubernetes clusters in high-traffic, low-latency environments and workflow orchestration platforms (Temporal or similar) Deep experience with Prometheus / OpenTelemetry ecosystems, or leveraging AI/ML frameworks/AIOps tools for automated root-cause analysis Zscaler's salary ranges are benchmarked and are determined by role and level. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations and could be higher or lower based on a multitude of factors, including job-related skills, experience, and relevant education or training. The base salary range listed for this full-time position excludes commission/ bonus/ equity (if applicable) + benefits. Base Pay Range $119,000-$170,000 USD At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure. Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including: Various health plans Time off plans for vacation and sick time Parental leave options Retirement options Education reimbursement In-office perks, and more! Learn more about Zscaler's hybrid working model and benefits here. By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines. Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link. Pay Transparency Zscaler complies with all applicable federal, state, and local pay transparency rules. Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.
Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange ️ platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 160+ public exchanges globally and thousands of private exchanges at the edge, the SASE-based Zero Trust Exchange is the world's largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world's hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Staff Site Reliability Engineer (Production Engineer) to join our team. This is a hybrid role (onsite three days a week in San Jose, CA or another Zscaler office; remote can be considered for exceptional candidates) reporting to the Senior Manager, Site Reliability Engineering in the Zero Trust Exchange department. As a key member of the Zero Trust Exchange team, you will own the systems-level reliability and performance of Zscaler's high-throughput bare-metal and cloud infrastructure processing tens of billions of daily transactions across a global, multi-region fleet. This is a software-first SRE role: you will write production-grade code and automation, drive the shift from reactive incident response, and bring engineering discipline to the systems-level work - OS, network and application debugging - that keeps the fleet operating safely at scale. What You'll Do (Role Expectations) Maintain high availability across large-scale bare-metal Linux/BSD fleets, Kubernetes clusters, and custom routing stacks in partnership with Engineering and Networking teams Lead full-cycle incident response by conducting cross-stack troubleshooting using low-level OS and network tools (strace, lsof, tcpdump, iostat, vmstat, gdb), maintain high availability across large-scale bare metal Linux /BSD fleets and Kubernetes clusters Automate infrastructure lifecycle management, service provisioning, configuration workflows, and release deployments using Ansible, Python, and Go; quantify operational toil and convert recurring manual work into durable, version-controlled, testable automation - tracking reduction as an engineering outcome Own end-to-end telemetry (metrics, logs, traces) using Prometheus and OpenTelemetry ecosystems; define and enforce SLOs/error budgets to reduce alert noise Perform architectural reviews, OS/kernel upgrades, capacity and performance tuning, strict CI/CD validation prior to production rollouts; embed operability standards (telemetry, rollback safety, SLO readiness) into service design from the start Who You Are (Success Profile) You thrive in ambiguity. You're comfortable building the path as you walk it, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful. You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution. You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact. You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback-knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust. You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose. What We're Looking For (Minimum Qualifications) US Citizenship is required (due to the nature of assigned customers) Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain 5+ years of experience in Site Reliability Engineering, Production Engineering, or Systems Engineering operating high-scale, low-latency production platforms Proven ability to write and debug executable code live (Python, Go, or Bash) covering core logic/data structures, along with hands-on experience writing Ansible playbooks/tasks for infrastructure automation Deep knowledge of Linux OS internals and kernel troubleshooting (e.g., inodes, open file descriptors, process states, and analyzing df vs du storage discrepancies) Comprehensive understanding of networking protocols and packet-level analysis, including DNS resolution workflows, TLS handshakes, TCP/IP mechanics, and packet captures via tcpdump What Will Make You Stand Out (Preferred Qualifications) Hands-on experience operating and managing FreeBSD / BSD operating systems in production Proven expertise running, scaling, and troubleshooting Kubernetes clusters in high-traffic, low-latency environments and workflow orchestration platforms (Temporal or similar) Deep experience with Prometheus / OpenTelemetry ecosystems, or leveraging AI/ML frameworks/AIOps tools for automated root-cause analysis Zscaler's salary ranges are benchmarked and are determined by role and level. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations and could be higher or lower based on a multitude of factors, including job-related skills, experience, and relevant education or training. The base salary range listed for this full-time position excludes commission/ bonus/ equity (if applicable) + benefits. Base Pay Range $119,000-$170,000 USD At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure. Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including: Various health plans Time off plans for vacation and sick time Parental leave options Retirement options Education reimbursement In-office perks, and more! Learn more about Zscaler's hybrid working model and benefits here. By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines. Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link. Pay Transparency Zscaler complies with all applicable federal, state, and local pay transparency rules. Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.
09/23/2026
Full time
Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange ️ platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 160+ public exchanges globally and thousands of private exchanges at the edge, the SASE-based Zero Trust Exchange is the world's largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world's hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Staff Site Reliability Engineer (Production Engineer) to join our team. This is a hybrid role (onsite three days a week in San Jose, CA or another Zscaler office; remote can be considered for exceptional candidates) reporting to the Senior Manager, Site Reliability Engineering in the Zero Trust Exchange department. As a key member of the Zero Trust Exchange team, you will own the systems-level reliability and performance of Zscaler's high-throughput bare-metal and cloud infrastructure processing tens of billions of daily transactions across a global, multi-region fleet. This is a software-first SRE role: you will write production-grade code and automation, drive the shift from reactive incident response, and bring engineering discipline to the systems-level work - OS, network and application debugging - that keeps the fleet operating safely at scale. What You'll Do (Role Expectations) Maintain high availability across large-scale bare-metal Linux/BSD fleets, Kubernetes clusters, and custom routing stacks in partnership with Engineering and Networking teams Lead full-cycle incident response by conducting cross-stack troubleshooting using low-level OS and network tools (strace, lsof, tcpdump, iostat, vmstat, gdb), maintain high availability across large-scale bare metal Linux /BSD fleets and Kubernetes clusters Automate infrastructure lifecycle management, service provisioning, configuration workflows, and release deployments using Ansible, Python, and Go; quantify operational toil and convert recurring manual work into durable, version-controlled, testable automation - tracking reduction as an engineering outcome Own end-to-end telemetry (metrics, logs, traces) using Prometheus and OpenTelemetry ecosystems; define and enforce SLOs/error budgets to reduce alert noise Perform architectural reviews, OS/kernel upgrades, capacity and performance tuning, strict CI/CD validation prior to production rollouts; embed operability standards (telemetry, rollback safety, SLO readiness) into service design from the start Who You Are (Success Profile) You thrive in ambiguity. You're comfortable building the path as you walk it, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful. You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution. You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact. You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback-knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust. You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose. What We're Looking For (Minimum Qualifications) US Citizenship is required (due to the nature of assigned customers) Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain 5+ years of experience in Site Reliability Engineering, Production Engineering, or Systems Engineering operating high-scale, low-latency production platforms Proven ability to write and debug executable code live (Python, Go, or Bash) covering core logic/data structures, along with hands-on experience writing Ansible playbooks/tasks for infrastructure automation Deep knowledge of Linux OS internals and kernel troubleshooting (e.g., inodes, open file descriptors, process states, and analyzing df vs du storage discrepancies) Comprehensive understanding of networking protocols and packet-level analysis, including DNS resolution workflows, TLS handshakes, TCP/IP mechanics, and packet captures via tcpdump What Will Make You Stand Out (Preferred Qualifications) Hands-on experience operating and managing FreeBSD / BSD operating systems in production Proven expertise running, scaling, and troubleshooting Kubernetes clusters in high-traffic, low-latency environments and workflow orchestration platforms (Temporal or similar) Deep experience with Prometheus / OpenTelemetry ecosystems, or leveraging AI/ML frameworks/AIOps tools for automated root-cause analysis Zscaler's salary ranges are benchmarked and are determined by role and level. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations and could be higher or lower based on a multitude of factors, including job-related skills, experience, and relevant education or training. The base salary range listed for this full-time position excludes commission/ bonus/ equity (if applicable) + benefits. Base Pay Range $119,000-$170,000 USD At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure. Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including: Various health plans Time off plans for vacation and sick time Parental leave options Retirement options Education reimbursement In-office perks, and more! Learn more about Zscaler's hybrid working model and benefits here. By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines. Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link. Pay Transparency Zscaler complies with all applicable federal, state, and local pay transparency rules. Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.
Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange ️ platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 160+ public exchanges globally and thousands of private exchanges at the edge, the SASE-based Zero Trust Exchange is the world's largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world's hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Staff Site Reliability Engineer (Production Engineer) to join our team. This is a hybrid role (onsite three days a week in San Jose, CA or another Zscaler office; remote can be considered for exceptional candidates) reporting to the Senior Manager, Site Reliability Engineering in the Zero Trust Exchange department. As a key member of the Zero Trust Exchange team, you will own the systems-level reliability and performance of Zscaler's high-throughput bare-metal and cloud infrastructure processing tens of billions of daily transactions across a global, multi-region fleet. This is a software-first SRE role: you will write production-grade code and automation, drive the shift from reactive incident response, and bring engineering discipline to the systems-level work - OS, network and application debugging - that keeps the fleet operating safely at scale. What You'll Do (Role Expectations) Maintain high availability across large-scale bare-metal Linux/BSD fleets, Kubernetes clusters, and custom routing stacks in partnership with Engineering and Networking teams Lead full-cycle incident response by conducting cross-stack troubleshooting using low-level OS and network tools (strace, lsof, tcpdump, iostat, vmstat, gdb), maintain high availability across large-scale bare metal Linux /BSD fleets and Kubernetes clusters Automate infrastructure lifecycle management, service provisioning, configuration workflows, and release deployments using Ansible, Python, and Go; quantify operational toil and convert recurring manual work into durable, version-controlled, testable automation - tracking reduction as an engineering outcome Own end-to-end telemetry (metrics, logs, traces) using Prometheus and OpenTelemetry ecosystems; define and enforce SLOs/error budgets to reduce alert noise Perform architectural reviews, OS/kernel upgrades, capacity and performance tuning, strict CI/CD validation prior to production rollouts; embed operability standards (telemetry, rollback safety, SLO readiness) into service design from the start Who You Are (Success Profile) You thrive in ambiguity. You're comfortable building the path as you walk it, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful. You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution. You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact. You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback-knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust. You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose. What We're Looking For (Minimum Qualifications) US Citizenship is required (due to the nature of assigned customers) Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain 5+ years of experience in Site Reliability Engineering, Production Engineering, or Systems Engineering operating high-scale, low-latency production platforms Proven ability to write and debug executable code live (Python, Go, or Bash) covering core logic/data structures, along with hands-on experience writing Ansible playbooks/tasks for infrastructure automation Deep knowledge of Linux OS internals and kernel troubleshooting (e.g., inodes, open file descriptors, process states, and analyzing df vs du storage discrepancies) Comprehensive understanding of networking protocols and packet-level analysis, including DNS resolution workflows, TLS handshakes, TCP/IP mechanics, and packet captures via tcpdump What Will Make You Stand Out (Preferred Qualifications) Hands-on experience operating and managing FreeBSD / BSD operating systems in production Proven expertise running, scaling, and troubleshooting Kubernetes clusters in high-traffic, low-latency environments and workflow orchestration platforms (Temporal or similar) Deep experience with Prometheus / OpenTelemetry ecosystems, or leveraging AI/ML frameworks/AIOps tools for automated root-cause analysis Zscaler's salary ranges are benchmarked and are determined by role and level. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations and could be higher or lower based on a multitude of factors, including job-related skills, experience, and relevant education or training. The base salary range listed for this full-time position excludes commission/ bonus/ equity (if applicable) + benefits. Base Pay Range $119,000-$170,000 USD At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure. Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including: Various health plans Time off plans for vacation and sick time Parental leave options Retirement options Education reimbursement In-office perks, and more! Learn more about Zscaler's hybrid working model and benefits here. By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines. Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link. Pay Transparency Zscaler complies with all applicable federal, state, and local pay transparency rules. Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.
09/23/2026
Full time
Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange ️ platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 160+ public exchanges globally and thousands of private exchanges at the edge, the SASE-based Zero Trust Exchange is the world's largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world's hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Staff Site Reliability Engineer (Production Engineer) to join our team. This is a hybrid role (onsite three days a week in San Jose, CA or another Zscaler office; remote can be considered for exceptional candidates) reporting to the Senior Manager, Site Reliability Engineering in the Zero Trust Exchange department. As a key member of the Zero Trust Exchange team, you will own the systems-level reliability and performance of Zscaler's high-throughput bare-metal and cloud infrastructure processing tens of billions of daily transactions across a global, multi-region fleet. This is a software-first SRE role: you will write production-grade code and automation, drive the shift from reactive incident response, and bring engineering discipline to the systems-level work - OS, network and application debugging - that keeps the fleet operating safely at scale. What You'll Do (Role Expectations) Maintain high availability across large-scale bare-metal Linux/BSD fleets, Kubernetes clusters, and custom routing stacks in partnership with Engineering and Networking teams Lead full-cycle incident response by conducting cross-stack troubleshooting using low-level OS and network tools (strace, lsof, tcpdump, iostat, vmstat, gdb), maintain high availability across large-scale bare metal Linux /BSD fleets and Kubernetes clusters Automate infrastructure lifecycle management, service provisioning, configuration workflows, and release deployments using Ansible, Python, and Go; quantify operational toil and convert recurring manual work into durable, version-controlled, testable automation - tracking reduction as an engineering outcome Own end-to-end telemetry (metrics, logs, traces) using Prometheus and OpenTelemetry ecosystems; define and enforce SLOs/error budgets to reduce alert noise Perform architectural reviews, OS/kernel upgrades, capacity and performance tuning, strict CI/CD validation prior to production rollouts; embed operability standards (telemetry, rollback safety, SLO readiness) into service design from the start Who You Are (Success Profile) You thrive in ambiguity. You're comfortable building the path as you walk it, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful. You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution. You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact. You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback-knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust. You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose. What We're Looking For (Minimum Qualifications) US Citizenship is required (due to the nature of assigned customers) Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain 5+ years of experience in Site Reliability Engineering, Production Engineering, or Systems Engineering operating high-scale, low-latency production platforms Proven ability to write and debug executable code live (Python, Go, or Bash) covering core logic/data structures, along with hands-on experience writing Ansible playbooks/tasks for infrastructure automation Deep knowledge of Linux OS internals and kernel troubleshooting (e.g., inodes, open file descriptors, process states, and analyzing df vs du storage discrepancies) Comprehensive understanding of networking protocols and packet-level analysis, including DNS resolution workflows, TLS handshakes, TCP/IP mechanics, and packet captures via tcpdump What Will Make You Stand Out (Preferred Qualifications) Hands-on experience operating and managing FreeBSD / BSD operating systems in production Proven expertise running, scaling, and troubleshooting Kubernetes clusters in high-traffic, low-latency environments and workflow orchestration platforms (Temporal or similar) Deep experience with Prometheus / OpenTelemetry ecosystems, or leveraging AI/ML frameworks/AIOps tools for automated root-cause analysis Zscaler's salary ranges are benchmarked and are determined by role and level. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations and could be higher or lower based on a multitude of factors, including job-related skills, experience, and relevant education or training. The base salary range listed for this full-time position excludes commission/ bonus/ equity (if applicable) + benefits. Base Pay Range $119,000-$170,000 USD At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure. Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including: Various health plans Time off plans for vacation and sick time Parental leave options Retirement options Education reimbursement In-office perks, and more! Learn more about Zscaler's hybrid working model and benefits here. By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines. Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link. Pay Transparency Zscaler complies with all applicable federal, state, and local pay transparency rules. Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.
Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange ️ platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 160+ public exchanges globally and thousands of private exchanges at the edge, the SASE-based Zero Trust Exchange is the world's largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world's hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Staff Site Reliability Engineer (Production Engineer) to join our team. This is a hybrid role (onsite three days a week in San Jose, CA or another Zscaler office; remote can be considered for exceptional candidates) reporting to the Senior Manager, Site Reliability Engineering in the Zero Trust Exchange department. As a key member of the Zero Trust Exchange team, you will own the systems-level reliability and performance of Zscaler's high-throughput bare-metal and cloud infrastructure processing tens of billions of daily transactions across a global, multi-region fleet. This is a software-first SRE role: you will write production-grade code and automation, drive the shift from reactive incident response, and bring engineering discipline to the systems-level work - OS, network and application debugging - that keeps the fleet operating safely at scale. What You'll Do (Role Expectations) Maintain high availability across large-scale bare-metal Linux/BSD fleets, Kubernetes clusters, and custom routing stacks in partnership with Engineering and Networking teams Lead full-cycle incident response by conducting cross-stack troubleshooting using low-level OS and network tools (strace, lsof, tcpdump, iostat, vmstat, gdb), maintain high availability across large-scale bare metal Linux /BSD fleets and Kubernetes clusters Automate infrastructure lifecycle management, service provisioning, configuration workflows, and release deployments using Ansible, Python, and Go; quantify operational toil and convert recurring manual work into durable, version-controlled, testable automation - tracking reduction as an engineering outcome Own end-to-end telemetry (metrics, logs, traces) using Prometheus and OpenTelemetry ecosystems; define and enforce SLOs/error budgets to reduce alert noise Perform architectural reviews, OS/kernel upgrades, capacity and performance tuning, strict CI/CD validation prior to production rollouts; embed operability standards (telemetry, rollback safety, SLO readiness) into service design from the start Who You Are (Success Profile) You thrive in ambiguity. You're comfortable building the path as you walk it, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful. You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution. You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact. You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback-knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust. You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose. What We're Looking For (Minimum Qualifications) US Citizenship is required (due to the nature of assigned customers) Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain 5+ years of experience in Site Reliability Engineering, Production Engineering, or Systems Engineering operating high-scale, low-latency production platforms Proven ability to write and debug executable code live (Python, Go, or Bash) covering core logic/data structures, along with hands-on experience writing Ansible playbooks/tasks for infrastructure automation Deep knowledge of Linux OS internals and kernel troubleshooting (e.g., inodes, open file descriptors, process states, and analyzing df vs du storage discrepancies) Comprehensive understanding of networking protocols and packet-level analysis, including DNS resolution workflows, TLS handshakes, TCP/IP mechanics, and packet captures via tcpdump What Will Make You Stand Out (Preferred Qualifications) Hands-on experience operating and managing FreeBSD / BSD operating systems in production Proven expertise running, scaling, and troubleshooting Kubernetes clusters in high-traffic, low-latency environments and workflow orchestration platforms (Temporal or similar) Deep experience with Prometheus / OpenTelemetry ecosystems, or leveraging AI/ML frameworks/AIOps tools for automated root-cause analysis Zscaler's salary ranges are benchmarked and are determined by role and level. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations and could be higher or lower based on a multitude of factors, including job-related skills, experience, and relevant education or training. The base salary range listed for this full-time position excludes commission/ bonus/ equity (if applicable) + benefits. Base Pay Range $119,000-$170,000 USD At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure. Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including: Various health plans Time off plans for vacation and sick time Parental leave options Retirement options Education reimbursement In-office perks, and more! Learn more about Zscaler's hybrid working model and benefits here. By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines. Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link. Pay Transparency Zscaler complies with all applicable federal, state, and local pay transparency rules. Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.
09/23/2026
Full time
Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange ️ platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 160+ public exchanges globally and thousands of private exchanges at the edge, the SASE-based Zero Trust Exchange is the world's largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world's hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Staff Site Reliability Engineer (Production Engineer) to join our team. This is a hybrid role (onsite three days a week in San Jose, CA or another Zscaler office; remote can be considered for exceptional candidates) reporting to the Senior Manager, Site Reliability Engineering in the Zero Trust Exchange department. As a key member of the Zero Trust Exchange team, you will own the systems-level reliability and performance of Zscaler's high-throughput bare-metal and cloud infrastructure processing tens of billions of daily transactions across a global, multi-region fleet. This is a software-first SRE role: you will write production-grade code and automation, drive the shift from reactive incident response, and bring engineering discipline to the systems-level work - OS, network and application debugging - that keeps the fleet operating safely at scale. What You'll Do (Role Expectations) Maintain high availability across large-scale bare-metal Linux/BSD fleets, Kubernetes clusters, and custom routing stacks in partnership with Engineering and Networking teams Lead full-cycle incident response by conducting cross-stack troubleshooting using low-level OS and network tools (strace, lsof, tcpdump, iostat, vmstat, gdb), maintain high availability across large-scale bare metal Linux /BSD fleets and Kubernetes clusters Automate infrastructure lifecycle management, service provisioning, configuration workflows, and release deployments using Ansible, Python, and Go; quantify operational toil and convert recurring manual work into durable, version-controlled, testable automation - tracking reduction as an engineering outcome Own end-to-end telemetry (metrics, logs, traces) using Prometheus and OpenTelemetry ecosystems; define and enforce SLOs/error budgets to reduce alert noise Perform architectural reviews, OS/kernel upgrades, capacity and performance tuning, strict CI/CD validation prior to production rollouts; embed operability standards (telemetry, rollback safety, SLO readiness) into service design from the start Who You Are (Success Profile) You thrive in ambiguity. You're comfortable building the path as you walk it, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful. You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution. You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact. You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback-knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust. You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose. What We're Looking For (Minimum Qualifications) US Citizenship is required (due to the nature of assigned customers) Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain 5+ years of experience in Site Reliability Engineering, Production Engineering, or Systems Engineering operating high-scale, low-latency production platforms Proven ability to write and debug executable code live (Python, Go, or Bash) covering core logic/data structures, along with hands-on experience writing Ansible playbooks/tasks for infrastructure automation Deep knowledge of Linux OS internals and kernel troubleshooting (e.g., inodes, open file descriptors, process states, and analyzing df vs du storage discrepancies) Comprehensive understanding of networking protocols and packet-level analysis, including DNS resolution workflows, TLS handshakes, TCP/IP mechanics, and packet captures via tcpdump What Will Make You Stand Out (Preferred Qualifications) Hands-on experience operating and managing FreeBSD / BSD operating systems in production Proven expertise running, scaling, and troubleshooting Kubernetes clusters in high-traffic, low-latency environments and workflow orchestration platforms (Temporal or similar) Deep experience with Prometheus / OpenTelemetry ecosystems, or leveraging AI/ML frameworks/AIOps tools for automated root-cause analysis Zscaler's salary ranges are benchmarked and are determined by role and level. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations and could be higher or lower based on a multitude of factors, including job-related skills, experience, and relevant education or training. The base salary range listed for this full-time position excludes commission/ bonus/ equity (if applicable) + benefits. Base Pay Range $119,000-$170,000 USD At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure. Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including: Various health plans Time off plans for vacation and sick time Parental leave options Retirement options Education reimbursement In-office perks, and more! Learn more about Zscaler's hybrid working model and benefits here. By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines. Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link. Pay Transparency Zscaler complies with all applicable federal, state, and local pay transparency rules. Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.
Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange ️ platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 160+ public exchanges globally and thousands of private exchanges at the edge, the SASE-based Zero Trust Exchange is the world's largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world's hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Staff Site Reliability Engineer (Production Engineer) to join our team. This is a hybrid role (onsite three days a week in San Jose, CA or another Zscaler office; remote can be considered for exceptional candidates) reporting to the Senior Manager, Site Reliability Engineering in the Zero Trust Exchange department. As a key member of the Zero Trust Exchange team, you will own the systems-level reliability and performance of Zscaler's high-throughput bare-metal and cloud infrastructure processing tens of billions of daily transactions across a global, multi-region fleet. This is a software-first SRE role: you will write production-grade code and automation, drive the shift from reactive incident response, and bring engineering discipline to the systems-level work - OS, network and application debugging - that keeps the fleet operating safely at scale. What You'll Do (Role Expectations) Maintain high availability across large-scale bare-metal Linux/BSD fleets, Kubernetes clusters, and custom routing stacks in partnership with Engineering and Networking teams Lead full-cycle incident response by conducting cross-stack troubleshooting using low-level OS and network tools (strace, lsof, tcpdump, iostat, vmstat, gdb), maintain high availability across large-scale bare metal Linux /BSD fleets and Kubernetes clusters Automate infrastructure lifecycle management, service provisioning, configuration workflows, and release deployments using Ansible, Python, and Go; quantify operational toil and convert recurring manual work into durable, version-controlled, testable automation - tracking reduction as an engineering outcome Own end-to-end telemetry (metrics, logs, traces) using Prometheus and OpenTelemetry ecosystems; define and enforce SLOs/error budgets to reduce alert noise Perform architectural reviews, OS/kernel upgrades, capacity and performance tuning, strict CI/CD validation prior to production rollouts; embed operability standards (telemetry, rollback safety, SLO readiness) into service design from the start Who You Are (Success Profile) You thrive in ambiguity. You're comfortable building the path as you walk it, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful. You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution. You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact. You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback-knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust. You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose. What We're Looking For (Minimum Qualifications) US Citizenship is required (due to the nature of assigned customers) Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain 5+ years of experience in Site Reliability Engineering, Production Engineering, or Systems Engineering operating high-scale, low-latency production platforms Proven ability to write and debug executable code live (Python, Go, or Bash) covering core logic/data structures, along with hands-on experience writing Ansible playbooks/tasks for infrastructure automation Deep knowledge of Linux OS internals and kernel troubleshooting (e.g., inodes, open file descriptors, process states, and analyzing df vs du storage discrepancies) Comprehensive understanding of networking protocols and packet-level analysis, including DNS resolution workflows, TLS handshakes, TCP/IP mechanics, and packet captures via tcpdump What Will Make You Stand Out (Preferred Qualifications) Hands-on experience operating and managing FreeBSD / BSD operating systems in production Proven expertise running, scaling, and troubleshooting Kubernetes clusters in high-traffic, low-latency environments and workflow orchestration platforms (Temporal or similar) Deep experience with Prometheus / OpenTelemetry ecosystems, or leveraging AI/ML frameworks/AIOps tools for automated root-cause analysis Zscaler's salary ranges are benchmarked and are determined by role and level. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations and could be higher or lower based on a multitude of factors, including job-related skills, experience, and relevant education or training. The base salary range listed for this full-time position excludes commission/ bonus/ equity (if applicable) + benefits. Base Pay Range $119,000-$170,000 USD At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure. Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including: Various health plans Time off plans for vacation and sick time Parental leave options Retirement options Education reimbursement In-office perks, and more! Learn more about Zscaler's hybrid working model and benefits here. By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines. Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link. Pay Transparency Zscaler complies with all applicable federal, state, and local pay transparency rules. Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.
09/23/2026
Full time
Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange ️ platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 160+ public exchanges globally and thousands of private exchanges at the edge, the SASE-based Zero Trust Exchange is the world's largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world's hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Staff Site Reliability Engineer (Production Engineer) to join our team. This is a hybrid role (onsite three days a week in San Jose, CA or another Zscaler office; remote can be considered for exceptional candidates) reporting to the Senior Manager, Site Reliability Engineering in the Zero Trust Exchange department. As a key member of the Zero Trust Exchange team, you will own the systems-level reliability and performance of Zscaler's high-throughput bare-metal and cloud infrastructure processing tens of billions of daily transactions across a global, multi-region fleet. This is a software-first SRE role: you will write production-grade code and automation, drive the shift from reactive incident response, and bring engineering discipline to the systems-level work - OS, network and application debugging - that keeps the fleet operating safely at scale. What You'll Do (Role Expectations) Maintain high availability across large-scale bare-metal Linux/BSD fleets, Kubernetes clusters, and custom routing stacks in partnership with Engineering and Networking teams Lead full-cycle incident response by conducting cross-stack troubleshooting using low-level OS and network tools (strace, lsof, tcpdump, iostat, vmstat, gdb), maintain high availability across large-scale bare metal Linux /BSD fleets and Kubernetes clusters Automate infrastructure lifecycle management, service provisioning, configuration workflows, and release deployments using Ansible, Python, and Go; quantify operational toil and convert recurring manual work into durable, version-controlled, testable automation - tracking reduction as an engineering outcome Own end-to-end telemetry (metrics, logs, traces) using Prometheus and OpenTelemetry ecosystems; define and enforce SLOs/error budgets to reduce alert noise Perform architectural reviews, OS/kernel upgrades, capacity and performance tuning, strict CI/CD validation prior to production rollouts; embed operability standards (telemetry, rollback safety, SLO readiness) into service design from the start Who You Are (Success Profile) You thrive in ambiguity. You're comfortable building the path as you walk it, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful. You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution. You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact. You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback-knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust. You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose. What We're Looking For (Minimum Qualifications) US Citizenship is required (due to the nature of assigned customers) Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain 5+ years of experience in Site Reliability Engineering, Production Engineering, or Systems Engineering operating high-scale, low-latency production platforms Proven ability to write and debug executable code live (Python, Go, or Bash) covering core logic/data structures, along with hands-on experience writing Ansible playbooks/tasks for infrastructure automation Deep knowledge of Linux OS internals and kernel troubleshooting (e.g., inodes, open file descriptors, process states, and analyzing df vs du storage discrepancies) Comprehensive understanding of networking protocols and packet-level analysis, including DNS resolution workflows, TLS handshakes, TCP/IP mechanics, and packet captures via tcpdump What Will Make You Stand Out (Preferred Qualifications) Hands-on experience operating and managing FreeBSD / BSD operating systems in production Proven expertise running, scaling, and troubleshooting Kubernetes clusters in high-traffic, low-latency environments and workflow orchestration platforms (Temporal or similar) Deep experience with Prometheus / OpenTelemetry ecosystems, or leveraging AI/ML frameworks/AIOps tools for automated root-cause analysis Zscaler's salary ranges are benchmarked and are determined by role and level. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations and could be higher or lower based on a multitude of factors, including job-related skills, experience, and relevant education or training. The base salary range listed for this full-time position excludes commission/ bonus/ equity (if applicable) + benefits. Base Pay Range $119,000-$170,000 USD At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure. Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including: Various health plans Time off plans for vacation and sick time Parental leave options Retirement options Education reimbursement In-office perks, and more! Learn more about Zscaler's hybrid working model and benefits here. By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines. Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link. Pay Transparency Zscaler complies with all applicable federal, state, and local pay transparency rules. Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.
Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange ️ platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 160+ public exchanges globally and thousands of private exchanges at the edge, the SASE-based Zero Trust Exchange is the world's largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world's hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Staff Site Reliability Engineer (Production Engineer) to join our team. This is a hybrid role (onsite three days a week in San Jose, CA or another Zscaler office; remote can be considered for exceptional candidates) reporting to the Senior Manager, Site Reliability Engineering in the Zero Trust Exchange department. As a key member of the Zero Trust Exchange team, you will own the systems-level reliability and performance of Zscaler's high-throughput bare-metal and cloud infrastructure processing tens of billions of daily transactions across a global, multi-region fleet. This is a software-first SRE role: you will write production-grade code and automation, drive the shift from reactive incident response, and bring engineering discipline to the systems-level work - OS, network and application debugging - that keeps the fleet operating safely at scale. What You'll Do (Role Expectations) Maintain high availability across large-scale bare-metal Linux/BSD fleets, Kubernetes clusters, and custom routing stacks in partnership with Engineering and Networking teams Lead full-cycle incident response by conducting cross-stack troubleshooting using low-level OS and network tools (strace, lsof, tcpdump, iostat, vmstat, gdb), maintain high availability across large-scale bare metal Linux /BSD fleets and Kubernetes clusters Automate infrastructure lifecycle management, service provisioning, configuration workflows, and release deployments using Ansible, Python, and Go; quantify operational toil and convert recurring manual work into durable, version-controlled, testable automation - tracking reduction as an engineering outcome Own end-to-end telemetry (metrics, logs, traces) using Prometheus and OpenTelemetry ecosystems; define and enforce SLOs/error budgets to reduce alert noise Perform architectural reviews, OS/kernel upgrades, capacity and performance tuning, strict CI/CD validation prior to production rollouts; embed operability standards (telemetry, rollback safety, SLO readiness) into service design from the start Who You Are (Success Profile) You thrive in ambiguity. You're comfortable building the path as you walk it, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful. You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution. You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact. You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback-knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust. You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose. What We're Looking For (Minimum Qualifications) US Citizenship is required (due to the nature of assigned customers) Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain 5+ years of experience in Site Reliability Engineering, Production Engineering, or Systems Engineering operating high-scale, low-latency production platforms Proven ability to write and debug executable code live (Python, Go, or Bash) covering core logic/data structures, along with hands-on experience writing Ansible playbooks/tasks for infrastructure automation Deep knowledge of Linux OS internals and kernel troubleshooting (e.g., inodes, open file descriptors, process states, and analyzing df vs du storage discrepancies) Comprehensive understanding of networking protocols and packet-level analysis, including DNS resolution workflows, TLS handshakes, TCP/IP mechanics, and packet captures via tcpdump What Will Make You Stand Out (Preferred Qualifications) Hands-on experience operating and managing FreeBSD / BSD operating systems in production Proven expertise running, scaling, and troubleshooting Kubernetes clusters in high-traffic, low-latency environments and workflow orchestration platforms (Temporal or similar) Deep experience with Prometheus / OpenTelemetry ecosystems, or leveraging AI/ML frameworks/AIOps tools for automated root-cause analysis Zscaler's salary ranges are benchmarked and are determined by role and level. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations and could be higher or lower based on a multitude of factors, including job-related skills, experience, and relevant education or training. The base salary range listed for this full-time position excludes commission/ bonus/ equity (if applicable) + benefits. Base Pay Range $119,000-$170,000 USD At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure. Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including: Various health plans Time off plans for vacation and sick time Parental leave options Retirement options Education reimbursement In-office perks, and more! Learn more about Zscaler's hybrid working model and benefits here. By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines. Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link. Pay Transparency Zscaler complies with all applicable federal, state, and local pay transparency rules. Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.
09/23/2026
Full time
Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange ️ platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 160+ public exchanges globally and thousands of private exchanges at the edge, the SASE-based Zero Trust Exchange is the world's largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world's hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Staff Site Reliability Engineer (Production Engineer) to join our team. This is a hybrid role (onsite three days a week in San Jose, CA or another Zscaler office; remote can be considered for exceptional candidates) reporting to the Senior Manager, Site Reliability Engineering in the Zero Trust Exchange department. As a key member of the Zero Trust Exchange team, you will own the systems-level reliability and performance of Zscaler's high-throughput bare-metal and cloud infrastructure processing tens of billions of daily transactions across a global, multi-region fleet. This is a software-first SRE role: you will write production-grade code and automation, drive the shift from reactive incident response, and bring engineering discipline to the systems-level work - OS, network and application debugging - that keeps the fleet operating safely at scale. What You'll Do (Role Expectations) Maintain high availability across large-scale bare-metal Linux/BSD fleets, Kubernetes clusters, and custom routing stacks in partnership with Engineering and Networking teams Lead full-cycle incident response by conducting cross-stack troubleshooting using low-level OS and network tools (strace, lsof, tcpdump, iostat, vmstat, gdb), maintain high availability across large-scale bare metal Linux /BSD fleets and Kubernetes clusters Automate infrastructure lifecycle management, service provisioning, configuration workflows, and release deployments using Ansible, Python, and Go; quantify operational toil and convert recurring manual work into durable, version-controlled, testable automation - tracking reduction as an engineering outcome Own end-to-end telemetry (metrics, logs, traces) using Prometheus and OpenTelemetry ecosystems; define and enforce SLOs/error budgets to reduce alert noise Perform architectural reviews, OS/kernel upgrades, capacity and performance tuning, strict CI/CD validation prior to production rollouts; embed operability standards (telemetry, rollback safety, SLO readiness) into service design from the start Who You Are (Success Profile) You thrive in ambiguity. You're comfortable building the path as you walk it, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful. You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution. You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact. You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback-knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust. You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose. What We're Looking For (Minimum Qualifications) US Citizenship is required (due to the nature of assigned customers) Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain 5+ years of experience in Site Reliability Engineering, Production Engineering, or Systems Engineering operating high-scale, low-latency production platforms Proven ability to write and debug executable code live (Python, Go, or Bash) covering core logic/data structures, along with hands-on experience writing Ansible playbooks/tasks for infrastructure automation Deep knowledge of Linux OS internals and kernel troubleshooting (e.g., inodes, open file descriptors, process states, and analyzing df vs du storage discrepancies) Comprehensive understanding of networking protocols and packet-level analysis, including DNS resolution workflows, TLS handshakes, TCP/IP mechanics, and packet captures via tcpdump What Will Make You Stand Out (Preferred Qualifications) Hands-on experience operating and managing FreeBSD / BSD operating systems in production Proven expertise running, scaling, and troubleshooting Kubernetes clusters in high-traffic, low-latency environments and workflow orchestration platforms (Temporal or similar) Deep experience with Prometheus / OpenTelemetry ecosystems, or leveraging AI/ML frameworks/AIOps tools for automated root-cause analysis Zscaler's salary ranges are benchmarked and are determined by role and level. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations and could be higher or lower based on a multitude of factors, including job-related skills, experience, and relevant education or training. The base salary range listed for this full-time position excludes commission/ bonus/ equity (if applicable) + benefits. Base Pay Range $119,000-$170,000 USD At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure. Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including: Various health plans Time off plans for vacation and sick time Parental leave options Retirement options Education reimbursement In-office perks, and more! Learn more about Zscaler's hybrid working model and benefits here. By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines. Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link. Pay Transparency Zscaler complies with all applicable federal, state, and local pay transparency rules. Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.
Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century's most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril's family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. ABOUT THE JOB Anduril is seeking a Chief Engineer to lead the design, development, and technical integration for a product line of critical network capabilities. This role is not just about leading; it's about re-envisioning the technical future of secure, resilient, and high-bandwidth communication for all of Anduril and the DoW's autonomous platforms and integrated defense solutions. A successful candidate will not only have a strong technical background, but must also possess a vision for leadership that embraces Anduril's mission to disrupt the defense technology ecosystem across technical and programmatic domains. As Chief Engineer, you will be responsible for the end-to-end technical success and architectural coherence of complex, multi-disciplinary network systems. You will operate at the intersection of complex engineering challenges in embedded systems, networking protocols, mechanical integration, and strategic program execution. You will work directly with our most senior technical leaders, program managers, and customers to define, build, and deliver cutting-edge networking capabilities that impact national security. WHAT YOU'LL DO Technical Vision & Architecture: Own and define the comprehensive technical architecture, design principles, and engineering roadmap for complex, distributed network systems. Ensure technical consistency, scalability, performance, and cyber-resilience across all technical domains (embedded software, UI/UX design, network protocols, hardware integration, ruggedized mechanical designs). System Integrity & Risk Management: Serve as the ultimate technical arbiter, ensuring the integrity, reliability, security, and survivability of our network systems in contested and high security environments. Proactively identify and mitigate technical risks related to performance, security, and physical robustness. Engineering Leadership & Mentorship: Provide decisive technical leadership and guidance to large, multi-disciplinary engineering teams (Mechanical, Electrical, Software) to deliver high quality products that can be manufactured at scale. Foster a culture of technical excellence, rigorous design, rapid iteration, and continuous improvement, ensuring seamless collaboration across disciplines. Strategic Technical Guidance: Translate strategic objectives and customer needs into actionable technical requirements and solutions. Drive trade studies, technology selections, and critical design decisions related to network topology, protocol selection, embedded hardware integration, power management, thermal management, and software-defined networking. Stakeholder Engagement: Act as the primary technical interface with internal stakeholders (Product, Program Management, Executive Leadership) and external stakeholders (customers, partners, regulatory bodies), clearly articulating complex technical concepts, challenges, and solutions for network capabilities. Rapid Prototyping, Fielding, and Scaled Production: Drive aggressive timelines for design, development, integration, and testing of network systems, supporting rapid prototyping, fielding, and scaled production of operational capabilities for defense applications. REQUIRED QUALIFICATIONS 15+ years of progressive experience in complex network systems engineering, R&D, and product development, with a significant portion in a leadership or Chief Engineer capacity for multi-disciplinary systems. Deep and broad technical expertise across network system design and implementation, encompassing significant experience in at least two of the following areas, with a strong understanding of the others: Software Engineering: Network protocols (e.g., IP, routing, transport layer), distributed systems, embedded networking, real-time operating systems, cybersecurity for networks, data link layer implementation. Electrical Engineering: Digital communications, power systems for ruggedized network nodes, high-speed digital design for embedded processors, PCB design for communication systems. Mechanical Engineering: Ruggedized enclosure design, thermal management for radios and processors, vibration/shock mitigation, integration of network hardware onto various platforms (airborne, ground, maritime, soldier-worn). Cross-disciplinary systems integration experience, particularly bridging the gap between hardware and software for robust network performance in demanding environments. Proven ability to define, architect, and lead the development of highly complex, integrated network systems from concept through deployment and sustainment. Exceptional leadership skills with a track record of building, mentoring, and inspiring high-performing multi-disciplinary technical teams in fast-paced, challenging environments. Demonstrated experience in strategic technical planning, roadmapping, and managing technical debt while delivering on aggressive schedules for networking products. Strong problem-solving acumen, with the ability to break down highly ambiguous technical challenges related to network performance and resilience, and drive to practical, innovative solutions. Excellent communication, presentation, and interpersonal skills to effectively convey complex technical concepts to diverse audiences, including executives, customers, and technical teams across different engineering disciplines. Bachelor's degree in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, Robotics, or a related technical field. Master's or Ph.D. preferred. Minimum Secret Security Clearance required. (Active TS/SCI strongly preferred). PREFERRED QUALIFICATIONS Background in cybersecurity for network infrastructure and resilience against near-peer nation state cyber risks. Experience with network modeling, simulation, and analysis tools for predicting performance in diverse environments. Demonstrated ability to drive technical decisions involving significant financial and programmatic impact for network system development. Familiarity with military communication standards and requirements (e.g., Joint All-Domain Command and Control (JADC2) concepts). US Salary Range $254,000-$336,000 USD The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including: Benefits At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you're supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits. Protecting Yourself from Recruitment Scams Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information. To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind: No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates. Please always verify communications: Direct from Anduril: If you receive an email from one of our recruiters, it will only come from address. Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to . Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain before providing any personal information or clicking on links. What to Do If You Suspect Fraud: . click apply for full job details
09/23/2026
Full time
Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century's most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril's family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. ABOUT THE JOB Anduril is seeking a Chief Engineer to lead the design, development, and technical integration for a product line of critical network capabilities. This role is not just about leading; it's about re-envisioning the technical future of secure, resilient, and high-bandwidth communication for all of Anduril and the DoW's autonomous platforms and integrated defense solutions. A successful candidate will not only have a strong technical background, but must also possess a vision for leadership that embraces Anduril's mission to disrupt the defense technology ecosystem across technical and programmatic domains. As Chief Engineer, you will be responsible for the end-to-end technical success and architectural coherence of complex, multi-disciplinary network systems. You will operate at the intersection of complex engineering challenges in embedded systems, networking protocols, mechanical integration, and strategic program execution. You will work directly with our most senior technical leaders, program managers, and customers to define, build, and deliver cutting-edge networking capabilities that impact national security. WHAT YOU'LL DO Technical Vision & Architecture: Own and define the comprehensive technical architecture, design principles, and engineering roadmap for complex, distributed network systems. Ensure technical consistency, scalability, performance, and cyber-resilience across all technical domains (embedded software, UI/UX design, network protocols, hardware integration, ruggedized mechanical designs). System Integrity & Risk Management: Serve as the ultimate technical arbiter, ensuring the integrity, reliability, security, and survivability of our network systems in contested and high security environments. Proactively identify and mitigate technical risks related to performance, security, and physical robustness. Engineering Leadership & Mentorship: Provide decisive technical leadership and guidance to large, multi-disciplinary engineering teams (Mechanical, Electrical, Software) to deliver high quality products that can be manufactured at scale. Foster a culture of technical excellence, rigorous design, rapid iteration, and continuous improvement, ensuring seamless collaboration across disciplines. Strategic Technical Guidance: Translate strategic objectives and customer needs into actionable technical requirements and solutions. Drive trade studies, technology selections, and critical design decisions related to network topology, protocol selection, embedded hardware integration, power management, thermal management, and software-defined networking. Stakeholder Engagement: Act as the primary technical interface with internal stakeholders (Product, Program Management, Executive Leadership) and external stakeholders (customers, partners, regulatory bodies), clearly articulating complex technical concepts, challenges, and solutions for network capabilities. Rapid Prototyping, Fielding, and Scaled Production: Drive aggressive timelines for design, development, integration, and testing of network systems, supporting rapid prototyping, fielding, and scaled production of operational capabilities for defense applications. REQUIRED QUALIFICATIONS 15+ years of progressive experience in complex network systems engineering, R&D, and product development, with a significant portion in a leadership or Chief Engineer capacity for multi-disciplinary systems. Deep and broad technical expertise across network system design and implementation, encompassing significant experience in at least two of the following areas, with a strong understanding of the others: Software Engineering: Network protocols (e.g., IP, routing, transport layer), distributed systems, embedded networking, real-time operating systems, cybersecurity for networks, data link layer implementation. Electrical Engineering: Digital communications, power systems for ruggedized network nodes, high-speed digital design for embedded processors, PCB design for communication systems. Mechanical Engineering: Ruggedized enclosure design, thermal management for radios and processors, vibration/shock mitigation, integration of network hardware onto various platforms (airborne, ground, maritime, soldier-worn). Cross-disciplinary systems integration experience, particularly bridging the gap between hardware and software for robust network performance in demanding environments. Proven ability to define, architect, and lead the development of highly complex, integrated network systems from concept through deployment and sustainment. Exceptional leadership skills with a track record of building, mentoring, and inspiring high-performing multi-disciplinary technical teams in fast-paced, challenging environments. Demonstrated experience in strategic technical planning, roadmapping, and managing technical debt while delivering on aggressive schedules for networking products. Strong problem-solving acumen, with the ability to break down highly ambiguous technical challenges related to network performance and resilience, and drive to practical, innovative solutions. Excellent communication, presentation, and interpersonal skills to effectively convey complex technical concepts to diverse audiences, including executives, customers, and technical teams across different engineering disciplines. Bachelor's degree in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, Robotics, or a related technical field. Master's or Ph.D. preferred. Minimum Secret Security Clearance required. (Active TS/SCI strongly preferred). PREFERRED QUALIFICATIONS Background in cybersecurity for network infrastructure and resilience against near-peer nation state cyber risks. Experience with network modeling, simulation, and analysis tools for predicting performance in diverse environments. Demonstrated ability to drive technical decisions involving significant financial and programmatic impact for network system development. Familiarity with military communication standards and requirements (e.g., Joint All-Domain Command and Control (JADC2) concepts). US Salary Range $254,000-$336,000 USD The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including: Benefits At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you're supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits. Protecting Yourself from Recruitment Scams Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information. To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind: No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates. Please always verify communications: Direct from Anduril: If you receive an email from one of our recruiters, it will only come from address. Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to . Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain before providing any personal information or clicking on links. What to Do If You Suspect Fraud: . click apply for full job details
Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange ️ platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 160+ public exchanges globally and thousands of private exchanges at the edge, the SASE-based Zero Trust Exchange is the world's largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world's hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Staff Site Reliability Engineer (Production Engineer) to join our team. This is a hybrid role (onsite three days a week in San Jose, CA or another Zscaler office; remote can be considered for exceptional candidates) reporting to the Senior Manager, Site Reliability Engineering in the Zero Trust Exchange department. As a key member of the Zero Trust Exchange team, you will own the systems-level reliability and performance of Zscaler's high-throughput bare-metal and cloud infrastructure processing tens of billions of daily transactions across a global, multi-region fleet. This is a software-first SRE role: you will write production-grade code and automation, drive the shift from reactive incident response, and bring engineering discipline to the systems-level work - OS, network and application debugging - that keeps the fleet operating safely at scale. What You'll Do (Role Expectations) Maintain high availability across large-scale bare-metal Linux/BSD fleets, Kubernetes clusters, and custom routing stacks in partnership with Engineering and Networking teams Lead full-cycle incident response by conducting cross-stack troubleshooting using low-level OS and network tools (strace, lsof, tcpdump, iostat, vmstat, gdb), maintain high availability across large-scale bare metal Linux /BSD fleets and Kubernetes clusters Automate infrastructure lifecycle management, service provisioning, configuration workflows, and release deployments using Ansible, Python, and Go; quantify operational toil and convert recurring manual work into durable, version-controlled, testable automation - tracking reduction as an engineering outcome Own end-to-end telemetry (metrics, logs, traces) using Prometheus and OpenTelemetry ecosystems; define and enforce SLOs/error budgets to reduce alert noise Perform architectural reviews, OS/kernel upgrades, capacity and performance tuning, strict CI/CD validation prior to production rollouts; embed operability standards (telemetry, rollback safety, SLO readiness) into service design from the start Who You Are (Success Profile) You thrive in ambiguity. You're comfortable building the path as you walk it, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful. You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution. You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact. You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback-knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust. You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose. What We're Looking For (Minimum Qualifications) US Citizenship is required (due to the nature of assigned customers) Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain 5+ years of experience in Site Reliability Engineering, Production Engineering, or Systems Engineering operating high-scale, low-latency production platforms Proven ability to write and debug executable code live (Python, Go, or Bash) covering core logic/data structures, along with hands-on experience writing Ansible playbooks/tasks for infrastructure automation Deep knowledge of Linux OS internals and kernel troubleshooting (e.g., inodes, open file descriptors, process states, and analyzing df vs du storage discrepancies) Comprehensive understanding of networking protocols and packet-level analysis, including DNS resolution workflows, TLS handshakes, TCP/IP mechanics, and packet captures via tcpdump What Will Make You Stand Out (Preferred Qualifications) Hands-on experience operating and managing FreeBSD / BSD operating systems in production Proven expertise running, scaling, and troubleshooting Kubernetes clusters in high-traffic, low-latency environments and workflow orchestration platforms (Temporal or similar) Deep experience with Prometheus / OpenTelemetry ecosystems, or leveraging AI/ML frameworks/AIOps tools for automated root-cause analysis Zscaler's salary ranges are benchmarked and are determined by role and level. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations and could be higher or lower based on a multitude of factors, including job-related skills, experience, and relevant education or training. The base salary range listed for this full-time position excludes commission/ bonus/ equity (if applicable) + benefits. Base Pay Range $119,000-$170,000 USD At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure. Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including: Various health plans Time off plans for vacation and sick time Parental leave options Retirement options Education reimbursement In-office perks, and more! Learn more about Zscaler's hybrid working model and benefits here. By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines. Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link. Pay Transparency Zscaler complies with all applicable federal, state, and local pay transparency rules. Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.
09/23/2026
Full time
Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange ️ platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 160+ public exchanges globally and thousands of private exchanges at the edge, the SASE-based Zero Trust Exchange is the world's largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world's hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Staff Site Reliability Engineer (Production Engineer) to join our team. This is a hybrid role (onsite three days a week in San Jose, CA or another Zscaler office; remote can be considered for exceptional candidates) reporting to the Senior Manager, Site Reliability Engineering in the Zero Trust Exchange department. As a key member of the Zero Trust Exchange team, you will own the systems-level reliability and performance of Zscaler's high-throughput bare-metal and cloud infrastructure processing tens of billions of daily transactions across a global, multi-region fleet. This is a software-first SRE role: you will write production-grade code and automation, drive the shift from reactive incident response, and bring engineering discipline to the systems-level work - OS, network and application debugging - that keeps the fleet operating safely at scale. What You'll Do (Role Expectations) Maintain high availability across large-scale bare-metal Linux/BSD fleets, Kubernetes clusters, and custom routing stacks in partnership with Engineering and Networking teams Lead full-cycle incident response by conducting cross-stack troubleshooting using low-level OS and network tools (strace, lsof, tcpdump, iostat, vmstat, gdb), maintain high availability across large-scale bare metal Linux /BSD fleets and Kubernetes clusters Automate infrastructure lifecycle management, service provisioning, configuration workflows, and release deployments using Ansible, Python, and Go; quantify operational toil and convert recurring manual work into durable, version-controlled, testable automation - tracking reduction as an engineering outcome Own end-to-end telemetry (metrics, logs, traces) using Prometheus and OpenTelemetry ecosystems; define and enforce SLOs/error budgets to reduce alert noise Perform architectural reviews, OS/kernel upgrades, capacity and performance tuning, strict CI/CD validation prior to production rollouts; embed operability standards (telemetry, rollback safety, SLO readiness) into service design from the start Who You Are (Success Profile) You thrive in ambiguity. You're comfortable building the path as you walk it, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful. You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution. You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact. You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback-knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust. You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose. What We're Looking For (Minimum Qualifications) US Citizenship is required (due to the nature of assigned customers) Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain 5+ years of experience in Site Reliability Engineering, Production Engineering, or Systems Engineering operating high-scale, low-latency production platforms Proven ability to write and debug executable code live (Python, Go, or Bash) covering core logic/data structures, along with hands-on experience writing Ansible playbooks/tasks for infrastructure automation Deep knowledge of Linux OS internals and kernel troubleshooting (e.g., inodes, open file descriptors, process states, and analyzing df vs du storage discrepancies) Comprehensive understanding of networking protocols and packet-level analysis, including DNS resolution workflows, TLS handshakes, TCP/IP mechanics, and packet captures via tcpdump What Will Make You Stand Out (Preferred Qualifications) Hands-on experience operating and managing FreeBSD / BSD operating systems in production Proven expertise running, scaling, and troubleshooting Kubernetes clusters in high-traffic, low-latency environments and workflow orchestration platforms (Temporal or similar) Deep experience with Prometheus / OpenTelemetry ecosystems, or leveraging AI/ML frameworks/AIOps tools for automated root-cause analysis Zscaler's salary ranges are benchmarked and are determined by role and level. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations and could be higher or lower based on a multitude of factors, including job-related skills, experience, and relevant education or training. The base salary range listed for this full-time position excludes commission/ bonus/ equity (if applicable) + benefits. Base Pay Range $119,000-$170,000 USD At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure. Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including: Various health plans Time off plans for vacation and sick time Parental leave options Retirement options Education reimbursement In-office perks, and more! Learn more about Zscaler's hybrid working model and benefits here. By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines. Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link. Pay Transparency Zscaler complies with all applicable federal, state, and local pay transparency rules. Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.
Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange ️ platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 160+ public exchanges globally and thousands of private exchanges at the edge, the SASE-based Zero Trust Exchange is the world's largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world's hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Staff Site Reliability Engineer (Production Engineer) to join our team. This is a hybrid role (onsite three days a week in San Jose, CA or another Zscaler office; remote can be considered for exceptional candidates) reporting to the Senior Manager, Site Reliability Engineering in the Zero Trust Exchange department. As a key member of the Zero Trust Exchange team, you will own the systems-level reliability and performance of Zscaler's high-throughput bare-metal and cloud infrastructure processing tens of billions of daily transactions across a global, multi-region fleet. This is a software-first SRE role: you will write production-grade code and automation, drive the shift from reactive incident response, and bring engineering discipline to the systems-level work - OS, network and application debugging - that keeps the fleet operating safely at scale. What You'll Do (Role Expectations) Maintain high availability across large-scale bare-metal Linux/BSD fleets, Kubernetes clusters, and custom routing stacks in partnership with Engineering and Networking teams Lead full-cycle incident response by conducting cross-stack troubleshooting using low-level OS and network tools (strace, lsof, tcpdump, iostat, vmstat, gdb), maintain high availability across large-scale bare metal Linux /BSD fleets and Kubernetes clusters Automate infrastructure lifecycle management, service provisioning, configuration workflows, and release deployments using Ansible, Python, and Go; quantify operational toil and convert recurring manual work into durable, version-controlled, testable automation - tracking reduction as an engineering outcome Own end-to-end telemetry (metrics, logs, traces) using Prometheus and OpenTelemetry ecosystems; define and enforce SLOs/error budgets to reduce alert noise Perform architectural reviews, OS/kernel upgrades, capacity and performance tuning, strict CI/CD validation prior to production rollouts; embed operability standards (telemetry, rollback safety, SLO readiness) into service design from the start Who You Are (Success Profile) You thrive in ambiguity. You're comfortable building the path as you walk it, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful. You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution. You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact. You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback-knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust. You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose. What We're Looking For (Minimum Qualifications) US Citizenship is required (due to the nature of assigned customers) Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain 5+ years of experience in Site Reliability Engineering, Production Engineering, or Systems Engineering operating high-scale, low-latency production platforms Proven ability to write and debug executable code live (Python, Go, or Bash) covering core logic/data structures, along with hands-on experience writing Ansible playbooks/tasks for infrastructure automation Deep knowledge of Linux OS internals and kernel troubleshooting (e.g., inodes, open file descriptors, process states, and analyzing df vs du storage discrepancies) Comprehensive understanding of networking protocols and packet-level analysis, including DNS resolution workflows, TLS handshakes, TCP/IP mechanics, and packet captures via tcpdump What Will Make You Stand Out (Preferred Qualifications) Hands-on experience operating and managing FreeBSD / BSD operating systems in production Proven expertise running, scaling, and troubleshooting Kubernetes clusters in high-traffic, low-latency environments and workflow orchestration platforms (Temporal or similar) Deep experience with Prometheus / OpenTelemetry ecosystems, or leveraging AI/ML frameworks/AIOps tools for automated root-cause analysis Zscaler's salary ranges are benchmarked and are determined by role and level. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations and could be higher or lower based on a multitude of factors, including job-related skills, experience, and relevant education or training. The base salary range listed for this full-time position excludes commission/ bonus/ equity (if applicable) + benefits. Base Pay Range $119,000-$170,000 USD At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure. Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including: Various health plans Time off plans for vacation and sick time Parental leave options Retirement options Education reimbursement In-office perks, and more! Learn more about Zscaler's hybrid working model and benefits here. By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines. Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link. Pay Transparency Zscaler complies with all applicable federal, state, and local pay transparency rules. Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.
09/23/2026
Full time
Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange ️ platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 160+ public exchanges globally and thousands of private exchanges at the edge, the SASE-based Zero Trust Exchange is the world's largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world's hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Staff Site Reliability Engineer (Production Engineer) to join our team. This is a hybrid role (onsite three days a week in San Jose, CA or another Zscaler office; remote can be considered for exceptional candidates) reporting to the Senior Manager, Site Reliability Engineering in the Zero Trust Exchange department. As a key member of the Zero Trust Exchange team, you will own the systems-level reliability and performance of Zscaler's high-throughput bare-metal and cloud infrastructure processing tens of billions of daily transactions across a global, multi-region fleet. This is a software-first SRE role: you will write production-grade code and automation, drive the shift from reactive incident response, and bring engineering discipline to the systems-level work - OS, network and application debugging - that keeps the fleet operating safely at scale. What You'll Do (Role Expectations) Maintain high availability across large-scale bare-metal Linux/BSD fleets, Kubernetes clusters, and custom routing stacks in partnership with Engineering and Networking teams Lead full-cycle incident response by conducting cross-stack troubleshooting using low-level OS and network tools (strace, lsof, tcpdump, iostat, vmstat, gdb), maintain high availability across large-scale bare metal Linux /BSD fleets and Kubernetes clusters Automate infrastructure lifecycle management, service provisioning, configuration workflows, and release deployments using Ansible, Python, and Go; quantify operational toil and convert recurring manual work into durable, version-controlled, testable automation - tracking reduction as an engineering outcome Own end-to-end telemetry (metrics, logs, traces) using Prometheus and OpenTelemetry ecosystems; define and enforce SLOs/error budgets to reduce alert noise Perform architectural reviews, OS/kernel upgrades, capacity and performance tuning, strict CI/CD validation prior to production rollouts; embed operability standards (telemetry, rollback safety, SLO readiness) into service design from the start Who You Are (Success Profile) You thrive in ambiguity. You're comfortable building the path as you walk it, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful. You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution. You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact. You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback-knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust. You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose. What We're Looking For (Minimum Qualifications) US Citizenship is required (due to the nature of assigned customers) Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain 5+ years of experience in Site Reliability Engineering, Production Engineering, or Systems Engineering operating high-scale, low-latency production platforms Proven ability to write and debug executable code live (Python, Go, or Bash) covering core logic/data structures, along with hands-on experience writing Ansible playbooks/tasks for infrastructure automation Deep knowledge of Linux OS internals and kernel troubleshooting (e.g., inodes, open file descriptors, process states, and analyzing df vs du storage discrepancies) Comprehensive understanding of networking protocols and packet-level analysis, including DNS resolution workflows, TLS handshakes, TCP/IP mechanics, and packet captures via tcpdump What Will Make You Stand Out (Preferred Qualifications) Hands-on experience operating and managing FreeBSD / BSD operating systems in production Proven expertise running, scaling, and troubleshooting Kubernetes clusters in high-traffic, low-latency environments and workflow orchestration platforms (Temporal or similar) Deep experience with Prometheus / OpenTelemetry ecosystems, or leveraging AI/ML frameworks/AIOps tools for automated root-cause analysis Zscaler's salary ranges are benchmarked and are determined by role and level. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations and could be higher or lower based on a multitude of factors, including job-related skills, experience, and relevant education or training. The base salary range listed for this full-time position excludes commission/ bonus/ equity (if applicable) + benefits. Base Pay Range $119,000-$170,000 USD At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure. Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including: Various health plans Time off plans for vacation and sick time Parental leave options Retirement options Education reimbursement In-office perks, and more! Learn more about Zscaler's hybrid working model and benefits here. By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines. Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link. Pay Transparency Zscaler complies with all applicable federal, state, and local pay transparency rules. Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.
Over the last 20 years, Ares' success has been driven by our people and our culture. Today, our team is guided by our core values - Collaborative, Responsible, Entrepreneurial, Self-Aware, Trustworthy - and our purpose to be a catalyst for shared prosperity and a better future. Through our recruitment, career development and employee-focused programming, we are committed to fostering a welcoming and inclusive work environment where high-performance talent of diverse backgrounds, experiences, and perspectives can build careers within this exciting and growing industry. Job Description Ares is seeking a Legal Engineering Lead (Associate Vice President) to join Corporate Technology, reporting to the Head of Legal and Compliance Technology. This role will lead engineering delivery, platform health, and ongoing evolution of technology solutions supporting Ares' Legal and related risk and third-party governance workflows-driving scalable, secure, and audit-ready capabilities that improve operational efficiency and control effectiveness. The ideal candidate is a hands-on engineering leader with deep familiarity across Legal/GC processes and related risk workflows, ideally from a large alternative asset manager or similarly complex regulated firm (large law firm experience supporting sophisticated legal operations is also valued). This leader will bring strong technical fundamentals (e.g., SQL and at least one coding language), experience with integrations and data platforms, and the ability to partner closely with business stakeholders and vendors to deliver measurable outcomes. This role requires experience implementing and operating modern legal and risk platforms, including matter management and e-billing (e.g., Simple Legal / Passport / Apperio or similar), Legal Entity Management (e.g., GEMS), Contract Lifecycle Management (CLM) solutions (e.g., Icertis, Ironclad), and third-party risk management (TPRM) and intake tooling (e.g., Zip and comparable platforms). RESPONSIBILITIES: • Lead engineering delivery and operational ownership for the Legal and technology portfolio, ensuring solutions are scalable, resilient, secure, and audit-ready. • Serve as the technical lead for platform strategy, implementation, and support across Legal systems, including matter management/e-billing, legal entity management, CLM, and third-party intake/TPRM tooling. • Partner with Legal, and key stakeholder groups to translate business needs into clear technical requirements, solution designs, delivery plans, and measurable outcomes. • Own end-to-end delivery: discovery, architecture/design, build/configuration, testing/UAT, release, and production support-aligned with SDLC, change management, and operational readiness. • Establish and maintain integration patterns and data flows across core platforms (APIs, batch, middleware), supporting reporting, auditability, and downstream finance/procurement or records-management dependencies. • Drive strong engineering discipline: configuration standards, code quality, peer review, automated testing where applicable, environment management, and release governance. • Ensure embedded controls across workflows: approvals, access management, segregation of duties, evidence capture, and traceability aligned to audit and regulatory expectations. • Lead a small team of technical resources, providing coaching, prioritization, and delivery oversight; foster a culture of accountability and continuous improvement. • Manage vendors/partners as needed: solution selection support, implementation oversight, SLA/service performance, roadmap alignment, and cost management. • Provide transparent, executive-ready reporting on platform health, delivery status, risks/issues, dependencies, and remediation plans QUALIFICATIONS: 5+ years of progressive technology experience, including significant hands-on delivery experience supporting Legal systems and governance platforms in a complex environment. Experience in complex, regulated financial services; alternative asset management experience strongly preferred. Bachelor's degree required; Computer Science/Engineering background preferred. Strong written and verbal communication skills; proven ability to influence and collaborate across senior business and technology stakeholders. Demonstrated people leadership experience (direct management and/or leading teams through delivery and operations). Experience Required Strong engineering fundamentals and hands-on delivery experience, including: SQL (required), data analysis/troubleshooting, and comfort navigating complex process and data flows Experience with at least one general-purpose language (e.g., Python, Java, C#, JavaScript) and common integration approaches (REST APIs, services, batch) Working knowledge of SDLC, testing strategies, release/change management, and production support Experience implementing and supporting Legal and related risk platforms, including one or more of: Matter management / e-billing ecosystems (e.g., SimpleLegal, Passport, Apperio or similar) Legal Entity Management (e.g., GEMS or similar) CLM platforms (e.g., Icertis, Ironclad or similar) Intake and/or TPRM tooling (e.g., Zip and comparable tools) Experience with integrations and data/reporting enablement, including monitoring, data quality, and reconciliation practices. Demonstrated ability to deliver secure, audit-ready solutions with robust traceability, workflow transparency, and evidence retention. Proven ability to lead small teams and deliver results through a mix of direct technical contribution and team oversight. Vendor/SI management experience is a plus. Preferred Qualifications Familiarity applying automation and/or AI-enabled capabilities to legal operations (e.g., document classification, summarization, clause extraction, intake triage), with a strong governance and controls mindset. Experience establishing platform standards and scalable operating models (configuration governance, release discipline, support/runbooks). Strong process mapping and documentation skills (e.g., Lucidchart) to support requirements clarity and stakeholder alignment. General Requirements Ability to thrive in a fast-paced environment, manage competing priorities, and deliver high-quality outcomes. Strong ownership mindset with disciplined execution and attention to detail. Comfortable operating in ambiguity and translating evolving business needs into durable technical solutions. Collaborative, service-oriented approach; able to build credibility with Legal stakeholders and partner effectively across Corporate Technology. Willingness to flex hours as needed to support global stakeholders and production needs. Reporting Relationships Compensation The anticipated base salary range for this position is listed below. Total compensation may also include a discretionary performance-based bonus. Note, the range takes into account a broad spectrum of qualifications, including, but not limited to, years of relevant work experience, education, and other relevant qualifications specific to the role. $180,000 - $220,000 The firm also offers robust Benefits offerings. Ares U.S. Core Benefits include Comprehensive Medical/Rx, Dental and Vision plans; 401(k) program with company match; Flexible Savings Accounts (FSA); Healthcare Savings Accounts (HSA) with company contribution; Basic and Voluntary Life Insurance; Long-Term Disability (LTD) and Short-Term Disability (STD) insurance; Employee Assistance Program (EAP), and Commuter Benefits plan for parking and transit. Ares offers a number of additional benefits including access to a world-class medical advisory team, a mental health app that includes coaching, therapy and psychiatry, a mindfulness and wellbeing app, financial wellness benefit that includes access to a financial advisor, new parent leave, reproductive and adoption assistance, emergency backup care, matching gift program, education sponsorship program, and much more. There is no set deadline to apply for this job opportunity. Applications will be accepted on an ongoing basis until the search is no longer active.
09/23/2026
Full time
Over the last 20 years, Ares' success has been driven by our people and our culture. Today, our team is guided by our core values - Collaborative, Responsible, Entrepreneurial, Self-Aware, Trustworthy - and our purpose to be a catalyst for shared prosperity and a better future. Through our recruitment, career development and employee-focused programming, we are committed to fostering a welcoming and inclusive work environment where high-performance talent of diverse backgrounds, experiences, and perspectives can build careers within this exciting and growing industry. Job Description Ares is seeking a Legal Engineering Lead (Associate Vice President) to join Corporate Technology, reporting to the Head of Legal and Compliance Technology. This role will lead engineering delivery, platform health, and ongoing evolution of technology solutions supporting Ares' Legal and related risk and third-party governance workflows-driving scalable, secure, and audit-ready capabilities that improve operational efficiency and control effectiveness. The ideal candidate is a hands-on engineering leader with deep familiarity across Legal/GC processes and related risk workflows, ideally from a large alternative asset manager or similarly complex regulated firm (large law firm experience supporting sophisticated legal operations is also valued). This leader will bring strong technical fundamentals (e.g., SQL and at least one coding language), experience with integrations and data platforms, and the ability to partner closely with business stakeholders and vendors to deliver measurable outcomes. This role requires experience implementing and operating modern legal and risk platforms, including matter management and e-billing (e.g., Simple Legal / Passport / Apperio or similar), Legal Entity Management (e.g., GEMS), Contract Lifecycle Management (CLM) solutions (e.g., Icertis, Ironclad), and third-party risk management (TPRM) and intake tooling (e.g., Zip and comparable platforms). RESPONSIBILITIES: • Lead engineering delivery and operational ownership for the Legal and technology portfolio, ensuring solutions are scalable, resilient, secure, and audit-ready. • Serve as the technical lead for platform strategy, implementation, and support across Legal systems, including matter management/e-billing, legal entity management, CLM, and third-party intake/TPRM tooling. • Partner with Legal, and key stakeholder groups to translate business needs into clear technical requirements, solution designs, delivery plans, and measurable outcomes. • Own end-to-end delivery: discovery, architecture/design, build/configuration, testing/UAT, release, and production support-aligned with SDLC, change management, and operational readiness. • Establish and maintain integration patterns and data flows across core platforms (APIs, batch, middleware), supporting reporting, auditability, and downstream finance/procurement or records-management dependencies. • Drive strong engineering discipline: configuration standards, code quality, peer review, automated testing where applicable, environment management, and release governance. • Ensure embedded controls across workflows: approvals, access management, segregation of duties, evidence capture, and traceability aligned to audit and regulatory expectations. • Lead a small team of technical resources, providing coaching, prioritization, and delivery oversight; foster a culture of accountability and continuous improvement. • Manage vendors/partners as needed: solution selection support, implementation oversight, SLA/service performance, roadmap alignment, and cost management. • Provide transparent, executive-ready reporting on platform health, delivery status, risks/issues, dependencies, and remediation plans QUALIFICATIONS: 5+ years of progressive technology experience, including significant hands-on delivery experience supporting Legal systems and governance platforms in a complex environment. Experience in complex, regulated financial services; alternative asset management experience strongly preferred. Bachelor's degree required; Computer Science/Engineering background preferred. Strong written and verbal communication skills; proven ability to influence and collaborate across senior business and technology stakeholders. Demonstrated people leadership experience (direct management and/or leading teams through delivery and operations). Experience Required Strong engineering fundamentals and hands-on delivery experience, including: SQL (required), data analysis/troubleshooting, and comfort navigating complex process and data flows Experience with at least one general-purpose language (e.g., Python, Java, C#, JavaScript) and common integration approaches (REST APIs, services, batch) Working knowledge of SDLC, testing strategies, release/change management, and production support Experience implementing and supporting Legal and related risk platforms, including one or more of: Matter management / e-billing ecosystems (e.g., SimpleLegal, Passport, Apperio or similar) Legal Entity Management (e.g., GEMS or similar) CLM platforms (e.g., Icertis, Ironclad or similar) Intake and/or TPRM tooling (e.g., Zip and comparable tools) Experience with integrations and data/reporting enablement, including monitoring, data quality, and reconciliation practices. Demonstrated ability to deliver secure, audit-ready solutions with robust traceability, workflow transparency, and evidence retention. Proven ability to lead small teams and deliver results through a mix of direct technical contribution and team oversight. Vendor/SI management experience is a plus. Preferred Qualifications Familiarity applying automation and/or AI-enabled capabilities to legal operations (e.g., document classification, summarization, clause extraction, intake triage), with a strong governance and controls mindset. Experience establishing platform standards and scalable operating models (configuration governance, release discipline, support/runbooks). Strong process mapping and documentation skills (e.g., Lucidchart) to support requirements clarity and stakeholder alignment. General Requirements Ability to thrive in a fast-paced environment, manage competing priorities, and deliver high-quality outcomes. Strong ownership mindset with disciplined execution and attention to detail. Comfortable operating in ambiguity and translating evolving business needs into durable technical solutions. Collaborative, service-oriented approach; able to build credibility with Legal stakeholders and partner effectively across Corporate Technology. Willingness to flex hours as needed to support global stakeholders and production needs. Reporting Relationships Compensation The anticipated base salary range for this position is listed below. Total compensation may also include a discretionary performance-based bonus. Note, the range takes into account a broad spectrum of qualifications, including, but not limited to, years of relevant work experience, education, and other relevant qualifications specific to the role. $180,000 - $220,000 The firm also offers robust Benefits offerings. Ares U.S. Core Benefits include Comprehensive Medical/Rx, Dental and Vision plans; 401(k) program with company match; Flexible Savings Accounts (FSA); Healthcare Savings Accounts (HSA) with company contribution; Basic and Voluntary Life Insurance; Long-Term Disability (LTD) and Short-Term Disability (STD) insurance; Employee Assistance Program (EAP), and Commuter Benefits plan for parking and transit. Ares offers a number of additional benefits including access to a world-class medical advisory team, a mental health app that includes coaching, therapy and psychiatry, a mindfulness and wellbeing app, financial wellness benefit that includes access to a financial advisor, new parent leave, reproductive and adoption assistance, emergency backup care, matching gift program, education sponsorship program, and much more. There is no set deadline to apply for this job opportunity. Applications will be accepted on an ongoing basis until the search is no longer active.
Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange ️ platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 160+ public exchanges globally and thousands of private exchanges at the edge, the SASE-based Zero Trust Exchange is the world's largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world's hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Staff Site Reliability Engineer (Production Engineer) to join our team. This is a hybrid role (onsite three days a week in San Jose, CA or another Zscaler office; remote can be considered for exceptional candidates) reporting to the Senior Manager, Site Reliability Engineering in the Zero Trust Exchange department. As a key member of the Zero Trust Exchange team, you will own the systems-level reliability and performance of Zscaler's high-throughput bare-metal and cloud infrastructure processing tens of billions of daily transactions across a global, multi-region fleet. This is a software-first SRE role: you will write production-grade code and automation, drive the shift from reactive incident response, and bring engineering discipline to the systems-level work - OS, network and application debugging - that keeps the fleet operating safely at scale. What You'll Do (Role Expectations) Maintain high availability across large-scale bare-metal Linux/BSD fleets, Kubernetes clusters, and custom routing stacks in partnership with Engineering and Networking teams Lead full-cycle incident response by conducting cross-stack troubleshooting using low-level OS and network tools (strace, lsof, tcpdump, iostat, vmstat, gdb), maintain high availability across large-scale bare metal Linux /BSD fleets and Kubernetes clusters Automate infrastructure lifecycle management, service provisioning, configuration workflows, and release deployments using Ansible, Python, and Go; quantify operational toil and convert recurring manual work into durable, version-controlled, testable automation - tracking reduction as an engineering outcome Own end-to-end telemetry (metrics, logs, traces) using Prometheus and OpenTelemetry ecosystems; define and enforce SLOs/error budgets to reduce alert noise Perform architectural reviews, OS/kernel upgrades, capacity and performance tuning, strict CI/CD validation prior to production rollouts; embed operability standards (telemetry, rollback safety, SLO readiness) into service design from the start Who You Are (Success Profile) You thrive in ambiguity. You're comfortable building the path as you walk it, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful. You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution. You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact. You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback-knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust. You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose. What We're Looking For (Minimum Qualifications) US Citizenship is required (due to the nature of assigned customers) Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain 5+ years of experience in Site Reliability Engineering, Production Engineering, or Systems Engineering operating high-scale, low-latency production platforms Proven ability to write and debug executable code live (Python, Go, or Bash) covering core logic/data structures, along with hands-on experience writing Ansible playbooks/tasks for infrastructure automation Deep knowledge of Linux OS internals and kernel troubleshooting (e.g., inodes, open file descriptors, process states, and analyzing df vs du storage discrepancies) Comprehensive understanding of networking protocols and packet-level analysis, including DNS resolution workflows, TLS handshakes, TCP/IP mechanics, and packet captures via tcpdump What Will Make You Stand Out (Preferred Qualifications) Hands-on experience operating and managing FreeBSD / BSD operating systems in production Proven expertise running, scaling, and troubleshooting Kubernetes clusters in high-traffic, low-latency environments and workflow orchestration platforms (Temporal or similar) Deep experience with Prometheus / OpenTelemetry ecosystems, or leveraging AI/ML frameworks/AIOps tools for automated root-cause analysis Zscaler's salary ranges are benchmarked and are determined by role and level. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations and could be higher or lower based on a multitude of factors, including job-related skills, experience, and relevant education or training. The base salary range listed for this full-time position excludes commission/ bonus/ equity (if applicable) + benefits. Base Pay Range $119,000-$170,000 USD At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure. Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including: Various health plans Time off plans for vacation and sick time Parental leave options Retirement options Education reimbursement In-office perks, and more! Learn more about Zscaler's hybrid working model and benefits here. By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines. Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link. Pay Transparency Zscaler complies with all applicable federal, state, and local pay transparency rules. Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.
09/23/2026
Full time
Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange ️ platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 160+ public exchanges globally and thousands of private exchanges at the edge, the SASE-based Zero Trust Exchange is the world's largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world's hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Staff Site Reliability Engineer (Production Engineer) to join our team. This is a hybrid role (onsite three days a week in San Jose, CA or another Zscaler office; remote can be considered for exceptional candidates) reporting to the Senior Manager, Site Reliability Engineering in the Zero Trust Exchange department. As a key member of the Zero Trust Exchange team, you will own the systems-level reliability and performance of Zscaler's high-throughput bare-metal and cloud infrastructure processing tens of billions of daily transactions across a global, multi-region fleet. This is a software-first SRE role: you will write production-grade code and automation, drive the shift from reactive incident response, and bring engineering discipline to the systems-level work - OS, network and application debugging - that keeps the fleet operating safely at scale. What You'll Do (Role Expectations) Maintain high availability across large-scale bare-metal Linux/BSD fleets, Kubernetes clusters, and custom routing stacks in partnership with Engineering and Networking teams Lead full-cycle incident response by conducting cross-stack troubleshooting using low-level OS and network tools (strace, lsof, tcpdump, iostat, vmstat, gdb), maintain high availability across large-scale bare metal Linux /BSD fleets and Kubernetes clusters Automate infrastructure lifecycle management, service provisioning, configuration workflows, and release deployments using Ansible, Python, and Go; quantify operational toil and convert recurring manual work into durable, version-controlled, testable automation - tracking reduction as an engineering outcome Own end-to-end telemetry (metrics, logs, traces) using Prometheus and OpenTelemetry ecosystems; define and enforce SLOs/error budgets to reduce alert noise Perform architectural reviews, OS/kernel upgrades, capacity and performance tuning, strict CI/CD validation prior to production rollouts; embed operability standards (telemetry, rollback safety, SLO readiness) into service design from the start Who You Are (Success Profile) You thrive in ambiguity. You're comfortable building the path as you walk it, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful. You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution. You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact. You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback-knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust. You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose. What We're Looking For (Minimum Qualifications) US Citizenship is required (due to the nature of assigned customers) Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain 5+ years of experience in Site Reliability Engineering, Production Engineering, or Systems Engineering operating high-scale, low-latency production platforms Proven ability to write and debug executable code live (Python, Go, or Bash) covering core logic/data structures, along with hands-on experience writing Ansible playbooks/tasks for infrastructure automation Deep knowledge of Linux OS internals and kernel troubleshooting (e.g., inodes, open file descriptors, process states, and analyzing df vs du storage discrepancies) Comprehensive understanding of networking protocols and packet-level analysis, including DNS resolution workflows, TLS handshakes, TCP/IP mechanics, and packet captures via tcpdump What Will Make You Stand Out (Preferred Qualifications) Hands-on experience operating and managing FreeBSD / BSD operating systems in production Proven expertise running, scaling, and troubleshooting Kubernetes clusters in high-traffic, low-latency environments and workflow orchestration platforms (Temporal or similar) Deep experience with Prometheus / OpenTelemetry ecosystems, or leveraging AI/ML frameworks/AIOps tools for automated root-cause analysis Zscaler's salary ranges are benchmarked and are determined by role and level. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations and could be higher or lower based on a multitude of factors, including job-related skills, experience, and relevant education or training. The base salary range listed for this full-time position excludes commission/ bonus/ equity (if applicable) + benefits. Base Pay Range $119,000-$170,000 USD At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure. Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including: Various health plans Time off plans for vacation and sick time Parental leave options Retirement options Education reimbursement In-office perks, and more! Learn more about Zscaler's hybrid working model and benefits here. By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines. Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link. Pay Transparency Zscaler complies with all applicable federal, state, and local pay transparency rules. Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.
