Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Location This is a hybrid role based in Irving TX About the job you're considering The Capgemini team offers extensive career opportunities and provides mentoring and coaching for teammates. This role is an experienced professional with a strong background in software development. Your role A Delivery Manager / Technical Program Manager with strong expertise in global software delivery, Agile execution, enterprise integrations, deployment readiness, stakeholder management, and multi-market technology rollouts, capable of leading complex digital transformation programs across international markets. Lead end-to-end delivery of Smart Ops and Digital Ordering initiatives. Manage: Discovery, Localization, Integration, Testing, Deployment Readiness, Hypercare, Transition to Support Drive governance, milestone tracking, dependency management, and risk mitigation. Coordinate enterprise integrations involving: APIs, Middleware, Payment Systems, Menu Platforms, Delivery Aggregators, Operational Systems Oversee: Data Migration, Cutover Planning, Release Readiness, Production Deployments, Global Market Readiness Support multi-country rollouts including: Language Localization, Currency Setup, Tax Configuration, Compliance Requirements, Menu Management, Drive training and change management readiness. Deliver executive reporting, escalation management, and program updates. Governance & Operations Manage: RAID Logs, KPIs, Delivery Dashboards, Dependency Tracking Ensure successful handoff to support teams after deployment. Your skills and experience 10+ years in Technical Program Management, Delivery Management, or Enterprise Software Delivery. Strong experience with: SDLC, Agile Delivery, Jira, Confluence, Enterprise Integrations, Data Migration, Release Management, Deployment Readiness Experience managing globally distributed teams. Strong stakeholder management and executive communication skills. Global Rollout & Localization Programs Preferred Experience: QSR, Retail Technology, Hospitality, eCommerce, POS Systems, Digital Ordering Platforms, Store Technology - Hybrid The base compensation range for this role in the posted location is: $82,082 - 193,440. Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law. The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction. These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity. It is not typical for candidates to be hired at or near the top of the posted compensation range. In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws. Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include: Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave Medical, dental, and vision coverage (or provincial healthcare coordination in Canada) Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada) Life and disability insurance Employee assistance programs Other benefits as provided by local policy and eligibility Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation. Disclaimers Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact. Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process. Click the following link for more information on your rights as an Applicant in the United States. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
09/24/2026
Full time
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Location This is a hybrid role based in Irving TX About the job you're considering The Capgemini team offers extensive career opportunities and provides mentoring and coaching for teammates. This role is an experienced professional with a strong background in software development. Your role A Delivery Manager / Technical Program Manager with strong expertise in global software delivery, Agile execution, enterprise integrations, deployment readiness, stakeholder management, and multi-market technology rollouts, capable of leading complex digital transformation programs across international markets. Lead end-to-end delivery of Smart Ops and Digital Ordering initiatives. Manage: Discovery, Localization, Integration, Testing, Deployment Readiness, Hypercare, Transition to Support Drive governance, milestone tracking, dependency management, and risk mitigation. Coordinate enterprise integrations involving: APIs, Middleware, Payment Systems, Menu Platforms, Delivery Aggregators, Operational Systems Oversee: Data Migration, Cutover Planning, Release Readiness, Production Deployments, Global Market Readiness Support multi-country rollouts including: Language Localization, Currency Setup, Tax Configuration, Compliance Requirements, Menu Management, Drive training and change management readiness. Deliver executive reporting, escalation management, and program updates. Governance & Operations Manage: RAID Logs, KPIs, Delivery Dashboards, Dependency Tracking Ensure successful handoff to support teams after deployment. Your skills and experience 10+ years in Technical Program Management, Delivery Management, or Enterprise Software Delivery. Strong experience with: SDLC, Agile Delivery, Jira, Confluence, Enterprise Integrations, Data Migration, Release Management, Deployment Readiness Experience managing globally distributed teams. Strong stakeholder management and executive communication skills. Global Rollout & Localization Programs Preferred Experience: QSR, Retail Technology, Hospitality, eCommerce, POS Systems, Digital Ordering Platforms, Store Technology - Hybrid The base compensation range for this role in the posted location is: $82,082 - 193,440. Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law. The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction. These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity. It is not typical for candidates to be hired at or near the top of the posted compensation range. In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws. Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include: Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave Medical, dental, and vision coverage (or provincial healthcare coordination in Canada) Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada) Life and disability insurance Employee assistance programs Other benefits as provided by local policy and eligibility Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation. Disclaimers Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact. Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process. Click the following link for more information on your rights as an Applicant in the United States. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
Manages team delivering scalable distributed systems and components on a 2-4 quarter horizon. Standardizes engineering practices and scalability requirements across teams; oversees optimization for high throughput, hyper scale workloads; and ensures effective use of distributed state tools and data plane platforms. Guides teams to design fault tolerant, in service upgradable systems, set SLO aligned durability/availability targets, and implement resiliency mechanisms (load shedding, throttling, rate limiting). Provides oversight for KPIs, telemetry, and moderately complex dashboards; directs design of functional/correctness requirements, fault injection tests, and replication/synchronization strategies. Ensures proactive incident management, operational readiness, and on call coverage; drives encryption/access control practices, remediation plans, and compliance documentation. Oversees development and maintenance of automation/IaC and partners with teams on change management plans enabling safe patching, updates, and rollbacks. Responsibilities Key Responsibilities System Design & Architecture - System Scalability: Manages the development and implementation of scalable distributed systems and components across multiple teams, including the effective use of distributed state management tools. Oversees code and/or system optimization efforts for large-scale data processing and high-throughput requirements within and across teams to support hyper-scale systems. Guides teams to define scalability requirements for owned components and ensures design and implementation requirements are met. Manages the use of data plane platforms to effectively handle large-scale data retrieval, storage, and processing. Ensures team accurately designs performance and load testing. System Design & Architecture - System Reliability Design: Manages the strategy for building fault-tolerant components and systems capable of withstanding in-service updates by guiding the implementation of redundancy, replication, and automatic failover mechanisms. Develops design strategies for systems to effectively handle service disruptions (e.g., network partitions) by prioritizing consistency, availability, or partition tolerance. Leads implementation and optimization initiatives across teams for approaches to handle network unreliability, including load-shedding, throttling, and rate-limiting. Guides teams to design components and systems that are durable and adhere to service level objectives (SLOs), setting expectations for availability and durability of other computing services within the department. System Design & Architecture - System Reliability Performance: Provides oversight in defining key performance indicators (KPIs) and telemetry to identify gaps or issues in running systems. Oversees the building and customization of moderately complex dashboards, telemetry systems, and alerting mechanisms to proactively monitor components and system health. System Design & Architecture - Correctness / Availability: Oversees the design and implementation of functional and correctness requirements for feature sets and/or systems in new or existing systems. Guides teams to design complex test scenarios (e.g., fault-injection, brown-out) to evaluate system correctness. Directs implementation strategies for data replication and synchronization techniques to maintain data integrity and availability. Operational Troubleshooting & Incident Management: Guides teams to be proactive when diagnosing, debugging, and resolving issues in active components and systems to support ongoing operation. Ensures teams leverage expertise to prevent interruptions, ensuring no maintenance windows are required for customers and users when resolving issues. Oversees operational readiness protocol and ensures teams remain knowledgeable of owned components and systems to support effective troubleshooting and performance. Oversees and approves schedules for operational support rotations. Compliance & Security: Oversees implementation of robust security measures to protect data and applications in multi-tenant environments, ensuring team strategies incorporate encryption techniques and access controls. Directs execution of remediation plans to address identified security gaps, promoting continuous improvement of security measures. Ensures comprehensive documentation and cloud infrastructure compliance with industry standards and regulations. Automation & Change Management: Oversees the development and maintenance of automation scripts and tools (e.g., Infrastructure as Code (IaC to manage cloud infrastructure. Works with teams to create and adhere to change management plans for patching, updating, and rolling back applications, and guides development of components to allow for automation of these processes. Core Responsibilities Planning & Execution: Manages multiple medium- to large-scale projects or initiatives across teams, ensuring timelines, deliverables, and budgets (when applicable) are monitored and met. Provides direction to teams on project work, setting priorities, and aligning with business needs. Guides teams on adjusting plans to accommodate resource or timeline changes. Collaboration & Partnership: Drives cross-functional partnerships to align on expectations and shared objectives across multiple teams. Coaches team members to develop strategic relationships with business leaders, stakeholders, and external partners to foster collaboration and long-term success. Promotes inclusivity by actively seeking and listening to diverse perspectives, ensuring others feel heard and respected. Problem Solving: Provides direction to multiple teams on addressing complex operational and/or technical issues, as well as guidance on analyzing complex data and/or information to identify solutions. Reviews and provides insights into unresolved or critical issues, helping teams to identify potential solutions. Continuous Learning: Models engaging in continuous learning to deepen expertise and stay ahead of industry trends, integrating best practices into strategic planning. Leverages feedback to drive personal and team skill improvements. Identifies skill gaps across teams and empowers team members to pursue learning and knowledge-sharing opportunities that build their expertise in new areas, coaching them to apply learnings to advance the organization. Continuous Improvement: Drives teams to collaborate on, develop, and implement ideas to increase the efficiency and effectiveness of processes, protocols, and workflows within and across teams, providing oversight. Guides teams to adopt new ideas for alternative approaches and methods and encourages feedback for continued improvement. Performance and Development: Drives performance across teams by providing feedback and coaching in alignment with performance management processes, guidelines, and expectations. Discusses development goals with team members, shares opportunities to facilitate career development, and ensures individual goals are aligned with broader organizational goals. Develops and manages talent acquisition pipeline by leading candidate interviews, monitoring promotion eligibility, and/or orchestrating talent resources. Minimum Job Qualifications Education and/or Experience: •9 years of experience in software development OR •Bachelor's of Technology (B.Tech) Degree in Computer Science, Computer Engineering, Software Engineering, Electrical/Electronics Engineering, Computer Information Systems, Information Systems, Information Technology, Telecommunications, Mathematics, Physics, or related field AND 5 years of experience in software development OR •Bachelor's Degree in Computer Science, Computer Engineering, Software Engineering, Electrical/Electronics Engineering, Computer Information Systems, Information Systems, Information Technology, Telecommunications, Mathematics, Physics, or related field AND 5 years of experience in software development OR •Master's of Technology (M.Tech) Degree in Computer Science, Computer Engineering, Software Engineering, Electrical/Electronics Engineering, Computer Information Systems, Information Systems, Information Technology, Telecommunications, Mathematics, Physics, or related field AND 3 years of experience in software development OR •Master's Degree in Computer Science, Computer Engineering, Software Engineering, Electrical/Electronics Engineering, Computer Information Systems, Information Systems, Information Technology, Telecommunications, Mathematics, Physics, or related field AND 3 years of experience in software development OR •Doctorate in Computer Science, Computer Engineering, Software Engineering, Electrical/Electronics Engineering, Computer Information Systems, Information Systems, Information Technology, Telecommunications, Mathematics, Physics, or related field AND 1 year of experience in software development. Job Skills: Same skills as prior level, plus: •Agile Methodologies: Demonstrated ability to use agile methodologies to drive continuous improvement and product delivery. •Automation: Demonstrated ability in or knowledge of automation, including designing, implementing . click apply for full job details
09/24/2026
Full time
Manages team delivering scalable distributed systems and components on a 2-4 quarter horizon. Standardizes engineering practices and scalability requirements across teams; oversees optimization for high throughput, hyper scale workloads; and ensures effective use of distributed state tools and data plane platforms. Guides teams to design fault tolerant, in service upgradable systems, set SLO aligned durability/availability targets, and implement resiliency mechanisms (load shedding, throttling, rate limiting). Provides oversight for KPIs, telemetry, and moderately complex dashboards; directs design of functional/correctness requirements, fault injection tests, and replication/synchronization strategies. Ensures proactive incident management, operational readiness, and on call coverage; drives encryption/access control practices, remediation plans, and compliance documentation. Oversees development and maintenance of automation/IaC and partners with teams on change management plans enabling safe patching, updates, and rollbacks. Responsibilities Key Responsibilities System Design & Architecture - System Scalability: Manages the development and implementation of scalable distributed systems and components across multiple teams, including the effective use of distributed state management tools. Oversees code and/or system optimization efforts for large-scale data processing and high-throughput requirements within and across teams to support hyper-scale systems. Guides teams to define scalability requirements for owned components and ensures design and implementation requirements are met. Manages the use of data plane platforms to effectively handle large-scale data retrieval, storage, and processing. Ensures team accurately designs performance and load testing. System Design & Architecture - System Reliability Design: Manages the strategy for building fault-tolerant components and systems capable of withstanding in-service updates by guiding the implementation of redundancy, replication, and automatic failover mechanisms. Develops design strategies for systems to effectively handle service disruptions (e.g., network partitions) by prioritizing consistency, availability, or partition tolerance. Leads implementation and optimization initiatives across teams for approaches to handle network unreliability, including load-shedding, throttling, and rate-limiting. Guides teams to design components and systems that are durable and adhere to service level objectives (SLOs), setting expectations for availability and durability of other computing services within the department. System Design & Architecture - System Reliability Performance: Provides oversight in defining key performance indicators (KPIs) and telemetry to identify gaps or issues in running systems. Oversees the building and customization of moderately complex dashboards, telemetry systems, and alerting mechanisms to proactively monitor components and system health. System Design & Architecture - Correctness / Availability: Oversees the design and implementation of functional and correctness requirements for feature sets and/or systems in new or existing systems. Guides teams to design complex test scenarios (e.g., fault-injection, brown-out) to evaluate system correctness. Directs implementation strategies for data replication and synchronization techniques to maintain data integrity and availability. Operational Troubleshooting & Incident Management: Guides teams to be proactive when diagnosing, debugging, and resolving issues in active components and systems to support ongoing operation. Ensures teams leverage expertise to prevent interruptions, ensuring no maintenance windows are required for customers and users when resolving issues. Oversees operational readiness protocol and ensures teams remain knowledgeable of owned components and systems to support effective troubleshooting and performance. Oversees and approves schedules for operational support rotations. Compliance & Security: Oversees implementation of robust security measures to protect data and applications in multi-tenant environments, ensuring team strategies incorporate encryption techniques and access controls. Directs execution of remediation plans to address identified security gaps, promoting continuous improvement of security measures. Ensures comprehensive documentation and cloud infrastructure compliance with industry standards and regulations. Automation & Change Management: Oversees the development and maintenance of automation scripts and tools (e.g., Infrastructure as Code (IaC to manage cloud infrastructure. Works with teams to create and adhere to change management plans for patching, updating, and rolling back applications, and guides development of components to allow for automation of these processes. Core Responsibilities Planning & Execution: Manages multiple medium- to large-scale projects or initiatives across teams, ensuring timelines, deliverables, and budgets (when applicable) are monitored and met. Provides direction to teams on project work, setting priorities, and aligning with business needs. Guides teams on adjusting plans to accommodate resource or timeline changes. Collaboration & Partnership: Drives cross-functional partnerships to align on expectations and shared objectives across multiple teams. Coaches team members to develop strategic relationships with business leaders, stakeholders, and external partners to foster collaboration and long-term success. Promotes inclusivity by actively seeking and listening to diverse perspectives, ensuring others feel heard and respected. Problem Solving: Provides direction to multiple teams on addressing complex operational and/or technical issues, as well as guidance on analyzing complex data and/or information to identify solutions. Reviews and provides insights into unresolved or critical issues, helping teams to identify potential solutions. Continuous Learning: Models engaging in continuous learning to deepen expertise and stay ahead of industry trends, integrating best practices into strategic planning. Leverages feedback to drive personal and team skill improvements. Identifies skill gaps across teams and empowers team members to pursue learning and knowledge-sharing opportunities that build their expertise in new areas, coaching them to apply learnings to advance the organization. Continuous Improvement: Drives teams to collaborate on, develop, and implement ideas to increase the efficiency and effectiveness of processes, protocols, and workflows within and across teams, providing oversight. Guides teams to adopt new ideas for alternative approaches and methods and encourages feedback for continued improvement. Performance and Development: Drives performance across teams by providing feedback and coaching in alignment with performance management processes, guidelines, and expectations. Discusses development goals with team members, shares opportunities to facilitate career development, and ensures individual goals are aligned with broader organizational goals. Develops and manages talent acquisition pipeline by leading candidate interviews, monitoring promotion eligibility, and/or orchestrating talent resources. Minimum Job Qualifications Education and/or Experience: •9 years of experience in software development OR •Bachelor's of Technology (B.Tech) Degree in Computer Science, Computer Engineering, Software Engineering, Electrical/Electronics Engineering, Computer Information Systems, Information Systems, Information Technology, Telecommunications, Mathematics, Physics, or related field AND 5 years of experience in software development OR •Bachelor's Degree in Computer Science, Computer Engineering, Software Engineering, Electrical/Electronics Engineering, Computer Information Systems, Information Systems, Information Technology, Telecommunications, Mathematics, Physics, or related field AND 5 years of experience in software development OR •Master's of Technology (M.Tech) Degree in Computer Science, Computer Engineering, Software Engineering, Electrical/Electronics Engineering, Computer Information Systems, Information Systems, Information Technology, Telecommunications, Mathematics, Physics, or related field AND 3 years of experience in software development OR •Master's Degree in Computer Science, Computer Engineering, Software Engineering, Electrical/Electronics Engineering, Computer Information Systems, Information Systems, Information Technology, Telecommunications, Mathematics, Physics, or related field AND 3 years of experience in software development OR •Doctorate in Computer Science, Computer Engineering, Software Engineering, Electrical/Electronics Engineering, Computer Information Systems, Information Systems, Information Technology, Telecommunications, Mathematics, Physics, or related field AND 1 year of experience in software development. Job Skills: Same skills as prior level, plus: •Agile Methodologies: Demonstrated ability to use agile methodologies to drive continuous improvement and product delivery. •Automation: Demonstrated ability in or knowledge of automation, including designing, implementing . click apply for full job details
Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. The Infrastructure Platform and Shared Services Team Okta authenticates, authorizes and provisions millions of users a day. The service is hosted on Amazon Web Services (AWS) across multiple availability zones and geographically separated regions. The service is designed for high throughput and 99.999 availability. We're looking for a technical leader to help us continue to scale the service with great people and reliable, cost-effective, and efficient infrastructure, processes, and tooling. As the Sr. Manager of Infrastructure Platform and Shared Services, you will oversee multiple teams focused on Edge networking, K8s platform, Observability, automation platform & tooling. What you'll be doing Lead the Infra platform and shared services org and various initiatives across SRE & Infrastructure organization. Build a world-class observability platform and monitoring capabilities enabled with self-service Accelerate the velocity of SRE and product engineering by developing robust platforms, powerful tooling, and intuitive self-service capabilities. Own the design and operation of scalable, self-service Cloud infrastructure platforms (e.g. Observability Platform, SRE Productivity, deployments, and Edge Infrastructure) Lead, mentor, and grow a high-performing team of engineers and managers across SRE and infrastructure shared services domains. Perform engineering design evaluations and ensure the completion of projects within resource, budget, and scheduling constraints. Improve SDLC processes for Cloud infrastructure as a code, including the maturity of product deployements, change and release management Manage service and business expectations and prioritize resource allocation Maintain a deep knowledge of industry best practices, evolving trends, and technologies What you'll bring to the role 6+ years of experience in technical leadership & people management 3+ years of experience running large-scale infrastructure platforms supporting a SaaS/Cloud service in a public Cloud, preferably AWS. Experience supporting a multi-Cloud environment will be a plus. Strong expertise in cloud-native architectures, Edge infrastructure (WAF, ALB, NLB, Apache, Nginx), IaC (Terraform), Splunk, Grafana and CI/CD pipelines. Strong background and hands-on experience in SRE automation& tooling Deep experience with building and operating observability platforms and monitoring tools (Grafana, Splunk, APM etc.) in a large scale environment. Demonstrated ability to lead cross-functional teams and manage large-scale programs Effective verbal, written communication and interpersonal skills Computer Science Degree or related degree or equivalent experience Additional requirements: This position requires the ability to access federal environments and/or have access to protected federal data. As a condition of employment for this position, the successful candidate must be able to submit documentation establishing the U.S. Person status (e.g. a U.S. Citizen, National, Lawful Permanent Resident, Refugee, or Asylee. 22 CFR 120.15) upon hire. P8841_ Below is the annual base salary range for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York and Washington. Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: The annual base salary range for this position for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York, and Washington is between: $232,000-$319,000 USD The Okta Experience Supporting Your Well-Being Driving Social Impact Developing Talent and Fostering Connection + Community We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one. Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation. Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.
09/24/2026
Full time
Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. The Infrastructure Platform and Shared Services Team Okta authenticates, authorizes and provisions millions of users a day. The service is hosted on Amazon Web Services (AWS) across multiple availability zones and geographically separated regions. The service is designed for high throughput and 99.999 availability. We're looking for a technical leader to help us continue to scale the service with great people and reliable, cost-effective, and efficient infrastructure, processes, and tooling. As the Sr. Manager of Infrastructure Platform and Shared Services, you will oversee multiple teams focused on Edge networking, K8s platform, Observability, automation platform & tooling. What you'll be doing Lead the Infra platform and shared services org and various initiatives across SRE & Infrastructure organization. Build a world-class observability platform and monitoring capabilities enabled with self-service Accelerate the velocity of SRE and product engineering by developing robust platforms, powerful tooling, and intuitive self-service capabilities. Own the design and operation of scalable, self-service Cloud infrastructure platforms (e.g. Observability Platform, SRE Productivity, deployments, and Edge Infrastructure) Lead, mentor, and grow a high-performing team of engineers and managers across SRE and infrastructure shared services domains. Perform engineering design evaluations and ensure the completion of projects within resource, budget, and scheduling constraints. Improve SDLC processes for Cloud infrastructure as a code, including the maturity of product deployements, change and release management Manage service and business expectations and prioritize resource allocation Maintain a deep knowledge of industry best practices, evolving trends, and technologies What you'll bring to the role 6+ years of experience in technical leadership & people management 3+ years of experience running large-scale infrastructure platforms supporting a SaaS/Cloud service in a public Cloud, preferably AWS. Experience supporting a multi-Cloud environment will be a plus. Strong expertise in cloud-native architectures, Edge infrastructure (WAF, ALB, NLB, Apache, Nginx), IaC (Terraform), Splunk, Grafana and CI/CD pipelines. Strong background and hands-on experience in SRE automation& tooling Deep experience with building and operating observability platforms and monitoring tools (Grafana, Splunk, APM etc.) in a large scale environment. Demonstrated ability to lead cross-functional teams and manage large-scale programs Effective verbal, written communication and interpersonal skills Computer Science Degree or related degree or equivalent experience Additional requirements: This position requires the ability to access federal environments and/or have access to protected federal data. As a condition of employment for this position, the successful candidate must be able to submit documentation establishing the U.S. Person status (e.g. a U.S. Citizen, National, Lawful Permanent Resident, Refugee, or Asylee. 22 CFR 120.15) upon hire. P8841_ Below is the annual base salary range for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York and Washington. Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: The annual base salary range for this position for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York, and Washington is between: $232,000-$319,000 USD The Okta Experience Supporting Your Well-Being Driving Social Impact Developing Talent and Fostering Connection + Community We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one. Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation. Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.
Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. The Infrastructure Platform and Shared Services Team Okta authenticates, authorizes and provisions millions of users a day. The service is hosted on Amazon Web Services (AWS) across multiple availability zones and geographically separated regions. The service is designed for high throughput and 99.999 availability. We're looking for a technical leader to help us continue to scale the service with great people and reliable, cost-effective, and efficient infrastructure, processes, and tooling. As the Sr. Manager of Infrastructure Platform and Shared Services, you will oversee multiple teams focused on Edge networking, K8s platform, Observability, automation platform & tooling. What you'll be doing Lead the Infra platform and shared services org and various initiatives across SRE & Infrastructure organization. Build a world-class observability platform and monitoring capabilities enabled with self-service Accelerate the velocity of SRE and product engineering by developing robust platforms, powerful tooling, and intuitive self-service capabilities. Own the design and operation of scalable, self-service Cloud infrastructure platforms (e.g. Observability Platform, SRE Productivity, deployments, and Edge Infrastructure) Lead, mentor, and grow a high-performing team of engineers and managers across SRE and infrastructure shared services domains. Perform engineering design evaluations and ensure the completion of projects within resource, budget, and scheduling constraints. Improve SDLC processes for Cloud infrastructure as a code, including the maturity of product deployements, change and release management Manage service and business expectations and prioritize resource allocation Maintain a deep knowledge of industry best practices, evolving trends, and technologies What you'll bring to the role 6+ years of experience in technical leadership & people management 3+ years of experience running large-scale infrastructure platforms supporting a SaaS/Cloud service in a public Cloud, preferably AWS. Experience supporting a multi-Cloud environment will be a plus. Strong expertise in cloud-native architectures, Edge infrastructure (WAF, ALB, NLB, Apache, Nginx), IaC (Terraform), Splunk, Grafana and CI/CD pipelines. Strong background and hands-on experience in SRE automation& tooling Deep experience with building and operating observability platforms and monitoring tools (Grafana, Splunk, APM etc.) in a large scale environment. Demonstrated ability to lead cross-functional teams and manage large-scale programs Effective verbal, written communication and interpersonal skills Computer Science Degree or related degree or equivalent experience Additional requirements: This position requires the ability to access federal environments and/or have access to protected federal data. As a condition of employment for this position, the successful candidate must be able to submit documentation establishing the U.S. Person status (e.g. a U.S. Citizen, National, Lawful Permanent Resident, Refugee, or Asylee. 22 CFR 120.15) upon hire. P8841_ Below is the annual base salary range for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York and Washington. Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: The annual base salary range for this position for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York, and Washington is between: $232,000-$319,000 USD The Okta Experience Supporting Your Well-Being Driving Social Impact Developing Talent and Fostering Connection + Community We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one. Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation. Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.
09/24/2026
Full time
Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. The Infrastructure Platform and Shared Services Team Okta authenticates, authorizes and provisions millions of users a day. The service is hosted on Amazon Web Services (AWS) across multiple availability zones and geographically separated regions. The service is designed for high throughput and 99.999 availability. We're looking for a technical leader to help us continue to scale the service with great people and reliable, cost-effective, and efficient infrastructure, processes, and tooling. As the Sr. Manager of Infrastructure Platform and Shared Services, you will oversee multiple teams focused on Edge networking, K8s platform, Observability, automation platform & tooling. What you'll be doing Lead the Infra platform and shared services org and various initiatives across SRE & Infrastructure organization. Build a world-class observability platform and monitoring capabilities enabled with self-service Accelerate the velocity of SRE and product engineering by developing robust platforms, powerful tooling, and intuitive self-service capabilities. Own the design and operation of scalable, self-service Cloud infrastructure platforms (e.g. Observability Platform, SRE Productivity, deployments, and Edge Infrastructure) Lead, mentor, and grow a high-performing team of engineers and managers across SRE and infrastructure shared services domains. Perform engineering design evaluations and ensure the completion of projects within resource, budget, and scheduling constraints. Improve SDLC processes for Cloud infrastructure as a code, including the maturity of product deployements, change and release management Manage service and business expectations and prioritize resource allocation Maintain a deep knowledge of industry best practices, evolving trends, and technologies What you'll bring to the role 6+ years of experience in technical leadership & people management 3+ years of experience running large-scale infrastructure platforms supporting a SaaS/Cloud service in a public Cloud, preferably AWS. Experience supporting a multi-Cloud environment will be a plus. Strong expertise in cloud-native architectures, Edge infrastructure (WAF, ALB, NLB, Apache, Nginx), IaC (Terraform), Splunk, Grafana and CI/CD pipelines. Strong background and hands-on experience in SRE automation& tooling Deep experience with building and operating observability platforms and monitoring tools (Grafana, Splunk, APM etc.) in a large scale environment. Demonstrated ability to lead cross-functional teams and manage large-scale programs Effective verbal, written communication and interpersonal skills Computer Science Degree or related degree or equivalent experience Additional requirements: This position requires the ability to access federal environments and/or have access to protected federal data. As a condition of employment for this position, the successful candidate must be able to submit documentation establishing the U.S. Person status (e.g. a U.S. Citizen, National, Lawful Permanent Resident, Refugee, or Asylee. 22 CFR 120.15) upon hire. P8841_ Below is the annual base salary range for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York and Washington. Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: The annual base salary range for this position for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York, and Washington is between: $232,000-$319,000 USD The Okta Experience Supporting Your Well-Being Driving Social Impact Developing Talent and Fostering Connection + Community We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one. Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation. Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.
Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. The Infrastructure Platform and Shared Services Team Okta authenticates, authorizes and provisions millions of users a day. The service is hosted on Amazon Web Services (AWS) across multiple availability zones and geographically separated regions. The service is designed for high throughput and 99.999 availability. We're looking for a technical leader to help us continue to scale the service with great people and reliable, cost-effective, and efficient infrastructure, processes, and tooling. As the Sr. Manager of Infrastructure Platform and Shared Services, you will oversee multiple teams focused on Edge networking, K8s platform, Observability, automation platform & tooling. What you'll be doing Lead the Infra platform and shared services org and various initiatives across SRE & Infrastructure organization. Build a world-class observability platform and monitoring capabilities enabled with self-service Accelerate the velocity of SRE and product engineering by developing robust platforms, powerful tooling, and intuitive self-service capabilities. Own the design and operation of scalable, self-service Cloud infrastructure platforms (e.g. Observability Platform, SRE Productivity, deployments, and Edge Infrastructure) Lead, mentor, and grow a high-performing team of engineers and managers across SRE and infrastructure shared services domains. Perform engineering design evaluations and ensure the completion of projects within resource, budget, and scheduling constraints. Improve SDLC processes for Cloud infrastructure as a code, including the maturity of product deployements, change and release management Manage service and business expectations and prioritize resource allocation Maintain a deep knowledge of industry best practices, evolving trends, and technologies What you'll bring to the role 6+ years of experience in technical leadership & people management 3+ years of experience running large-scale infrastructure platforms supporting a SaaS/Cloud service in a public Cloud, preferably AWS. Experience supporting a multi-Cloud environment will be a plus. Strong expertise in cloud-native architectures, Edge infrastructure (WAF, ALB, NLB, Apache, Nginx), IaC (Terraform), Splunk, Grafana and CI/CD pipelines. Strong background and hands-on experience in SRE automation& tooling Deep experience with building and operating observability platforms and monitoring tools (Grafana, Splunk, APM etc.) in a large scale environment. Demonstrated ability to lead cross-functional teams and manage large-scale programs Effective verbal, written communication and interpersonal skills Computer Science Degree or related degree or equivalent experience Additional requirements: This position requires the ability to access federal environments and/or have access to protected federal data. As a condition of employment for this position, the successful candidate must be able to submit documentation establishing the U.S. Person status (e.g. a U.S. Citizen, National, Lawful Permanent Resident, Refugee, or Asylee. 22 CFR 120.15) upon hire. P8841_ Below is the annual base salary range for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York and Washington. Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: The annual base salary range for this position for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York, and Washington is between: $232,000-$319,000 USD The Okta Experience Supporting Your Well-Being Driving Social Impact Developing Talent and Fostering Connection + Community We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one. Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation. Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.
09/24/2026
Full time
Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. The Infrastructure Platform and Shared Services Team Okta authenticates, authorizes and provisions millions of users a day. The service is hosted on Amazon Web Services (AWS) across multiple availability zones and geographically separated regions. The service is designed for high throughput and 99.999 availability. We're looking for a technical leader to help us continue to scale the service with great people and reliable, cost-effective, and efficient infrastructure, processes, and tooling. As the Sr. Manager of Infrastructure Platform and Shared Services, you will oversee multiple teams focused on Edge networking, K8s platform, Observability, automation platform & tooling. What you'll be doing Lead the Infra platform and shared services org and various initiatives across SRE & Infrastructure organization. Build a world-class observability platform and monitoring capabilities enabled with self-service Accelerate the velocity of SRE and product engineering by developing robust platforms, powerful tooling, and intuitive self-service capabilities. Own the design and operation of scalable, self-service Cloud infrastructure platforms (e.g. Observability Platform, SRE Productivity, deployments, and Edge Infrastructure) Lead, mentor, and grow a high-performing team of engineers and managers across SRE and infrastructure shared services domains. Perform engineering design evaluations and ensure the completion of projects within resource, budget, and scheduling constraints. Improve SDLC processes for Cloud infrastructure as a code, including the maturity of product deployements, change and release management Manage service and business expectations and prioritize resource allocation Maintain a deep knowledge of industry best practices, evolving trends, and technologies What you'll bring to the role 6+ years of experience in technical leadership & people management 3+ years of experience running large-scale infrastructure platforms supporting a SaaS/Cloud service in a public Cloud, preferably AWS. Experience supporting a multi-Cloud environment will be a plus. Strong expertise in cloud-native architectures, Edge infrastructure (WAF, ALB, NLB, Apache, Nginx), IaC (Terraform), Splunk, Grafana and CI/CD pipelines. Strong background and hands-on experience in SRE automation& tooling Deep experience with building and operating observability platforms and monitoring tools (Grafana, Splunk, APM etc.) in a large scale environment. Demonstrated ability to lead cross-functional teams and manage large-scale programs Effective verbal, written communication and interpersonal skills Computer Science Degree or related degree or equivalent experience Additional requirements: This position requires the ability to access federal environments and/or have access to protected federal data. As a condition of employment for this position, the successful candidate must be able to submit documentation establishing the U.S. Person status (e.g. a U.S. Citizen, National, Lawful Permanent Resident, Refugee, or Asylee. 22 CFR 120.15) upon hire. P8841_ Below is the annual base salary range for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York and Washington. Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: The annual base salary range for this position for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York, and Washington is between: $232,000-$319,000 USD The Okta Experience Supporting Your Well-Being Driving Social Impact Developing Talent and Fostering Connection + Community We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one. Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation. Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.
Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. The Infrastructure Platform and Shared Services Team Okta authenticates, authorizes and provisions millions of users a day. The service is hosted on Amazon Web Services (AWS) across multiple availability zones and geographically separated regions. The service is designed for high throughput and 99.999 availability. We're looking for a technical leader to help us continue to scale the service with great people and reliable, cost-effective, and efficient infrastructure, processes, and tooling. As the Sr. Manager of Infrastructure Platform and Shared Services, you will oversee multiple teams focused on Edge networking, K8s platform, Observability, automation platform & tooling. What you'll be doing Lead the Infra platform and shared services org and various initiatives across SRE & Infrastructure organization. Build a world-class observability platform and monitoring capabilities enabled with self-service Accelerate the velocity of SRE and product engineering by developing robust platforms, powerful tooling, and intuitive self-service capabilities. Own the design and operation of scalable, self-service Cloud infrastructure platforms (e.g. Observability Platform, SRE Productivity, deployments, and Edge Infrastructure) Lead, mentor, and grow a high-performing team of engineers and managers across SRE and infrastructure shared services domains. Perform engineering design evaluations and ensure the completion of projects within resource, budget, and scheduling constraints. Improve SDLC processes for Cloud infrastructure as a code, including the maturity of product deployements, change and release management Manage service and business expectations and prioritize resource allocation Maintain a deep knowledge of industry best practices, evolving trends, and technologies What you'll bring to the role 6+ years of experience in technical leadership & people management 3+ years of experience running large-scale infrastructure platforms supporting a SaaS/Cloud service in a public Cloud, preferably AWS. Experience supporting a multi-Cloud environment will be a plus. Strong expertise in cloud-native architectures, Edge infrastructure (WAF, ALB, NLB, Apache, Nginx), IaC (Terraform), Splunk, Grafana and CI/CD pipelines. Strong background and hands-on experience in SRE automation& tooling Deep experience with building and operating observability platforms and monitoring tools (Grafana, Splunk, APM etc.) in a large scale environment. Demonstrated ability to lead cross-functional teams and manage large-scale programs Effective verbal, written communication and interpersonal skills Computer Science Degree or related degree or equivalent experience Additional requirements: This position requires the ability to access federal environments and/or have access to protected federal data. As a condition of employment for this position, the successful candidate must be able to submit documentation establishing the U.S. Person status (e.g. a U.S. Citizen, National, Lawful Permanent Resident, Refugee, or Asylee. 22 CFR 120.15) upon hire. P8841_ Below is the annual base salary range for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York and Washington. Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: The annual base salary range for this position for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York, and Washington is between: $232,000-$319,000 USD The Okta Experience Supporting Your Well-Being Driving Social Impact Developing Talent and Fostering Connection + Community We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one. Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation. Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.
09/24/2026
Full time
Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. The Infrastructure Platform and Shared Services Team Okta authenticates, authorizes and provisions millions of users a day. The service is hosted on Amazon Web Services (AWS) across multiple availability zones and geographically separated regions. The service is designed for high throughput and 99.999 availability. We're looking for a technical leader to help us continue to scale the service with great people and reliable, cost-effective, and efficient infrastructure, processes, and tooling. As the Sr. Manager of Infrastructure Platform and Shared Services, you will oversee multiple teams focused on Edge networking, K8s platform, Observability, automation platform & tooling. What you'll be doing Lead the Infra platform and shared services org and various initiatives across SRE & Infrastructure organization. Build a world-class observability platform and monitoring capabilities enabled with self-service Accelerate the velocity of SRE and product engineering by developing robust platforms, powerful tooling, and intuitive self-service capabilities. Own the design and operation of scalable, self-service Cloud infrastructure platforms (e.g. Observability Platform, SRE Productivity, deployments, and Edge Infrastructure) Lead, mentor, and grow a high-performing team of engineers and managers across SRE and infrastructure shared services domains. Perform engineering design evaluations and ensure the completion of projects within resource, budget, and scheduling constraints. Improve SDLC processes for Cloud infrastructure as a code, including the maturity of product deployements, change and release management Manage service and business expectations and prioritize resource allocation Maintain a deep knowledge of industry best practices, evolving trends, and technologies What you'll bring to the role 6+ years of experience in technical leadership & people management 3+ years of experience running large-scale infrastructure platforms supporting a SaaS/Cloud service in a public Cloud, preferably AWS. Experience supporting a multi-Cloud environment will be a plus. Strong expertise in cloud-native architectures, Edge infrastructure (WAF, ALB, NLB, Apache, Nginx), IaC (Terraform), Splunk, Grafana and CI/CD pipelines. Strong background and hands-on experience in SRE automation& tooling Deep experience with building and operating observability platforms and monitoring tools (Grafana, Splunk, APM etc.) in a large scale environment. Demonstrated ability to lead cross-functional teams and manage large-scale programs Effective verbal, written communication and interpersonal skills Computer Science Degree or related degree or equivalent experience Additional requirements: This position requires the ability to access federal environments and/or have access to protected federal data. As a condition of employment for this position, the successful candidate must be able to submit documentation establishing the U.S. Person status (e.g. a U.S. Citizen, National, Lawful Permanent Resident, Refugee, or Asylee. 22 CFR 120.15) upon hire. P8841_ Below is the annual base salary range for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York and Washington. Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: The annual base salary range for this position for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York, and Washington is between: $232,000-$319,000 USD The Okta Experience Supporting Your Well-Being Driving Social Impact Developing Talent and Fostering Connection + Community We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one. Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation. Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.
About the Team DoorDash is building the world's most reliable on-demand, logistics engine for delivery. We are continuing to grow rapidly and expanding our Engineering offices globally! We are looking for Staff Backend Engineers to build and maintain a large scale 24x7 global infrastructure system that powers DoorDash's 3-sided marketplace of Consumers, Merchants and Dashers. About the Role We're looking for Staff Backend Engineers to work on both Product and Product Platform based teams. Product focused Engineers work at the intersection of product and infrastructure to solve key business problems with elegant technical solutions. You'll operate our backend services and architecture that support all product functionality and will be challenged to consider the big picture collaborating cross-functionally, as well as evaluating and executing on trade-offs to maximize business impact for the company. We expect Staff Engineers to be able to run cross-functional projects end to end, mentor their junior to mid level peers and influence our technical roadmaps This role is hybrid with some in-office time expected and will report to an Engineering Manager. You're excited about this opportunity because you will Develop, release and run large-scale web applications Develop and define the backend architecture and tech stack for a product area Improve performance, reliability, scalability and security for our backend systems Be involved in transitioning our monolithic codebase to a microservice-based architecture Completely disrupt logistics by tackling bleeding-edge, technical problems We're excited about you because you have B.S., M.S., or PhD. in Computer Science or equivalent 8+ years of industry experience Proficiency in using AI coding tools (e.g., Claude Code, Codex, Cursor) in the full software development lifecycle, including designing, generating code, testing, monitoring and releasing software Prior experience working with backend tech stacks Ability to analyze and improve efficiency, scalability, and stability of various system resources Experience with service oriented architecture, writing REST API's, unit testing, and architectural design Understanding of modern web stacks and architecture (HTTP, REST) Experience with SQL and NoSQL databases and other technologies (e.g. Postgres, Redis, Elasticsearch, RabbitMQ) Notice Regarding Use of AI and Automated Tools: To streamline our hiring process, DoorDash utilizes an automated recruitment tool called Gem. How it works: Gem assists our recruiting team by evaluating job related qualifications and characteristics in connection with hiring. The tool is designed and used to support - rather than replace - human decision-making; trained personnel make final decisions with meaningful human review and oversight, and DoorDash does not use Gem or other AI-enabled tool in a manner that has the effect of subjecting applicants or employees to discrimination based on any protected characteristic or proxy or for engaging in any protected activity under applicable law. Data Retention, Privacy & Bias Audit: Data collected during this process is retained in accordance with our Candidate Privacy Policy and applicable state laws. In compliance with New York City Local Law 144, the independent bias audit summary for Gem is publicly available for review at our Careers Page. We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on August 21, 2023. Please see the independent bias audit report covering our use of Covey here. Compensation The successful candidate's starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee's work location. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more information. DoorDash cares about you and your overall well-being. That's why we offer a comprehensive benefits package to all regular employees, which includes a 401(k) plan with employer matching, 16 weeks of paid parental leave, wellness benefits, commuter benefits match, paid time off and paid sick leave in compliance with applicable laws (e.g. Colorado Healthy Families and Workplaces Act). DoorDash also offers medical, dental, and vision benefits, 11 paid holidays, disability and basic life insurance, family-forming assistance, and a mental health program, among others. To learn more about our benefits, visit our careers page here. See below for paid time off details: For salaried roles: flexible paid time off/vacation, plus 80 hours of paid sick time per year. For hourly roles: vacation accrued at about 1 hour for every 25.97 hours worked (e.g. about 6.7 hours/month if working 40 hours/week; about 3.4 hours/month if working 20 hours/week), and paid sick time accrued at 1 hour for every 30 hours worked (e.g. about 5.8 hours/month if working 40 hours/week; about 2.9 hours/month if working 20 hours/week). The national base pay ranges for this position within the United States, including Illinois and Colorado. I4 $130,600-$192,000 USD I5 $159,800-$235,000 USD I6 $193,800-$285,000 USD About DoorDash At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users-from Dashers to merchant partners to consumers. We are a technology and logistics company that started by enabling door-to-door delivery, and we are looking for team members who can help us go from a company that is known as the place you order food to a company that people turn to for any and all goods. DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees' happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more. Our Commitment to Diversity and Inclusion We're committed to growing and empowering a more inclusive community within our company, industry, and cities. That's why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on "protected categories," we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce - people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination. Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation. If you need any accommodations, please inform your recruiting contact upon initial connection. Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only We used Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provided Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023. We resumed using Covey Scout for Inbound again on June 29, 2024, and ceased using Covey Scout for Inbound on April 30, 2026. The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring - learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash .
09/24/2026
Full time
About the Team DoorDash is building the world's most reliable on-demand, logistics engine for delivery. We are continuing to grow rapidly and expanding our Engineering offices globally! We are looking for Staff Backend Engineers to build and maintain a large scale 24x7 global infrastructure system that powers DoorDash's 3-sided marketplace of Consumers, Merchants and Dashers. About the Role We're looking for Staff Backend Engineers to work on both Product and Product Platform based teams. Product focused Engineers work at the intersection of product and infrastructure to solve key business problems with elegant technical solutions. You'll operate our backend services and architecture that support all product functionality and will be challenged to consider the big picture collaborating cross-functionally, as well as evaluating and executing on trade-offs to maximize business impact for the company. We expect Staff Engineers to be able to run cross-functional projects end to end, mentor their junior to mid level peers and influence our technical roadmaps This role is hybrid with some in-office time expected and will report to an Engineering Manager. You're excited about this opportunity because you will Develop, release and run large-scale web applications Develop and define the backend architecture and tech stack for a product area Improve performance, reliability, scalability and security for our backend systems Be involved in transitioning our monolithic codebase to a microservice-based architecture Completely disrupt logistics by tackling bleeding-edge, technical problems We're excited about you because you have B.S., M.S., or PhD. in Computer Science or equivalent 8+ years of industry experience Proficiency in using AI coding tools (e.g., Claude Code, Codex, Cursor) in the full software development lifecycle, including designing, generating code, testing, monitoring and releasing software Prior experience working with backend tech stacks Ability to analyze and improve efficiency, scalability, and stability of various system resources Experience with service oriented architecture, writing REST API's, unit testing, and architectural design Understanding of modern web stacks and architecture (HTTP, REST) Experience with SQL and NoSQL databases and other technologies (e.g. Postgres, Redis, Elasticsearch, RabbitMQ) Notice Regarding Use of AI and Automated Tools: To streamline our hiring process, DoorDash utilizes an automated recruitment tool called Gem. How it works: Gem assists our recruiting team by evaluating job related qualifications and characteristics in connection with hiring. The tool is designed and used to support - rather than replace - human decision-making; trained personnel make final decisions with meaningful human review and oversight, and DoorDash does not use Gem or other AI-enabled tool in a manner that has the effect of subjecting applicants or employees to discrimination based on any protected characteristic or proxy or for engaging in any protected activity under applicable law. Data Retention, Privacy & Bias Audit: Data collected during this process is retained in accordance with our Candidate Privacy Policy and applicable state laws. In compliance with New York City Local Law 144, the independent bias audit summary for Gem is publicly available for review at our Careers Page. We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on August 21, 2023. Please see the independent bias audit report covering our use of Covey here. Compensation The successful candidate's starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee's work location. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more information. DoorDash cares about you and your overall well-being. That's why we offer a comprehensive benefits package to all regular employees, which includes a 401(k) plan with employer matching, 16 weeks of paid parental leave, wellness benefits, commuter benefits match, paid time off and paid sick leave in compliance with applicable laws (e.g. Colorado Healthy Families and Workplaces Act). DoorDash also offers medical, dental, and vision benefits, 11 paid holidays, disability and basic life insurance, family-forming assistance, and a mental health program, among others. To learn more about our benefits, visit our careers page here. See below for paid time off details: For salaried roles: flexible paid time off/vacation, plus 80 hours of paid sick time per year. For hourly roles: vacation accrued at about 1 hour for every 25.97 hours worked (e.g. about 6.7 hours/month if working 40 hours/week; about 3.4 hours/month if working 20 hours/week), and paid sick time accrued at 1 hour for every 30 hours worked (e.g. about 5.8 hours/month if working 40 hours/week; about 2.9 hours/month if working 20 hours/week). The national base pay ranges for this position within the United States, including Illinois and Colorado. I4 $130,600-$192,000 USD I5 $159,800-$235,000 USD I6 $193,800-$285,000 USD About DoorDash At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users-from Dashers to merchant partners to consumers. We are a technology and logistics company that started by enabling door-to-door delivery, and we are looking for team members who can help us go from a company that is known as the place you order food to a company that people turn to for any and all goods. DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees' happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more. Our Commitment to Diversity and Inclusion We're committed to growing and empowering a more inclusive community within our company, industry, and cities. That's why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on "protected categories," we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce - people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination. Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation. If you need any accommodations, please inform your recruiting contact upon initial connection. Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only We used Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provided Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023. We resumed using Covey Scout for Inbound again on June 29, 2024, and ceased using Covey Scout for Inbound on April 30, 2026. The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring - learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash .
About the Team DoorDash is building the world's most reliable on-demand, logistics engine for delivery. We are continuing to grow rapidly and expanding our Engineering offices globally! We are looking for Staff Backend Engineers to build and maintain a large scale 24x7 global infrastructure system that powers DoorDash's 3-sided marketplace of Consumers, Merchants and Dashers. About the Role We're looking for Staff Backend Engineers to work on both Product and Product Platform based teams. Product focused Engineers work at the intersection of product and infrastructure to solve key business problems with elegant technical solutions. You'll operate our backend services and architecture that support all product functionality and will be challenged to consider the big picture collaborating cross-functionally, as well as evaluating and executing on trade-offs to maximize business impact for the company. We expect Staff Engineers to be able to run cross-functional projects end to end, mentor their junior to mid level peers and influence our technical roadmaps This role is hybrid with some in-office time expected and will report to an Engineering Manager. You're excited about this opportunity because you will Develop, release and run large-scale web applications Develop and define the backend architecture and tech stack for a product area Improve performance, reliability, scalability and security for our backend systems Be involved in transitioning our monolithic codebase to a microservice-based architecture Completely disrupt logistics by tackling bleeding-edge, technical problems We're excited about you because you have B.S., M.S., or PhD. in Computer Science or equivalent 8+ years of industry experience Proficiency in using AI coding tools (e.g., Claude Code, Codex, Cursor) in the full software development lifecycle, including designing, generating code, testing, monitoring and releasing software Prior experience working with backend tech stacks Ability to analyze and improve efficiency, scalability, and stability of various system resources Experience with service oriented architecture, writing REST API's, unit testing, and architectural design Understanding of modern web stacks and architecture (HTTP, REST) Experience with SQL and NoSQL databases and other technologies (e.g. Postgres, Redis, Elasticsearch, RabbitMQ) Notice Regarding Use of AI and Automated Tools: To streamline our hiring process, DoorDash utilizes an automated recruitment tool called Gem. How it works: Gem assists our recruiting team by evaluating job related qualifications and characteristics in connection with hiring. The tool is designed and used to support - rather than replace - human decision-making; trained personnel make final decisions with meaningful human review and oversight, and DoorDash does not use Gem or other AI-enabled tool in a manner that has the effect of subjecting applicants or employees to discrimination based on any protected characteristic or proxy or for engaging in any protected activity under applicable law. Data Retention, Privacy & Bias Audit: Data collected during this process is retained in accordance with our Candidate Privacy Policy and applicable state laws. In compliance with New York City Local Law 144, the independent bias audit summary for Gem is publicly available for review at our Careers Page. We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on August 21, 2023. Please see the independent bias audit report covering our use of Covey here. Compensation The successful candidate's starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee's work location. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more information. DoorDash cares about you and your overall well-being. That's why we offer a comprehensive benefits package to all regular employees, which includes a 401(k) plan with employer matching, 16 weeks of paid parental leave, wellness benefits, commuter benefits match, paid time off and paid sick leave in compliance with applicable laws (e.g. Colorado Healthy Families and Workplaces Act). DoorDash also offers medical, dental, and vision benefits, 11 paid holidays, disability and basic life insurance, family-forming assistance, and a mental health program, among others. To learn more about our benefits, visit our careers page here. See below for paid time off details: For salaried roles: flexible paid time off/vacation, plus 80 hours of paid sick time per year. For hourly roles: vacation accrued at about 1 hour for every 25.97 hours worked (e.g. about 6.7 hours/month if working 40 hours/week; about 3.4 hours/month if working 20 hours/week), and paid sick time accrued at 1 hour for every 30 hours worked (e.g. about 5.8 hours/month if working 40 hours/week; about 2.9 hours/month if working 20 hours/week). The national base pay ranges for this position within the United States, including Illinois and Colorado. I4 $130,600-$192,000 USD I5 $159,800-$235,000 USD I6 $193,800-$285,000 USD About DoorDash At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users-from Dashers to merchant partners to consumers. We are a technology and logistics company that started by enabling door-to-door delivery, and we are looking for team members who can help us go from a company that is known as the place you order food to a company that people turn to for any and all goods. DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees' happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more. Our Commitment to Diversity and Inclusion We're committed to growing and empowering a more inclusive community within our company, industry, and cities. That's why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on "protected categories," we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce - people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination. Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation. If you need any accommodations, please inform your recruiting contact upon initial connection. Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only We used Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provided Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023. We resumed using Covey Scout for Inbound again on June 29, 2024, and ceased using Covey Scout for Inbound on April 30, 2026. The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring - learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash .
09/24/2026
Full time
About the Team DoorDash is building the world's most reliable on-demand, logistics engine for delivery. We are continuing to grow rapidly and expanding our Engineering offices globally! We are looking for Staff Backend Engineers to build and maintain a large scale 24x7 global infrastructure system that powers DoorDash's 3-sided marketplace of Consumers, Merchants and Dashers. About the Role We're looking for Staff Backend Engineers to work on both Product and Product Platform based teams. Product focused Engineers work at the intersection of product and infrastructure to solve key business problems with elegant technical solutions. You'll operate our backend services and architecture that support all product functionality and will be challenged to consider the big picture collaborating cross-functionally, as well as evaluating and executing on trade-offs to maximize business impact for the company. We expect Staff Engineers to be able to run cross-functional projects end to end, mentor their junior to mid level peers and influence our technical roadmaps This role is hybrid with some in-office time expected and will report to an Engineering Manager. You're excited about this opportunity because you will Develop, release and run large-scale web applications Develop and define the backend architecture and tech stack for a product area Improve performance, reliability, scalability and security for our backend systems Be involved in transitioning our monolithic codebase to a microservice-based architecture Completely disrupt logistics by tackling bleeding-edge, technical problems We're excited about you because you have B.S., M.S., or PhD. in Computer Science or equivalent 8+ years of industry experience Proficiency in using AI coding tools (e.g., Claude Code, Codex, Cursor) in the full software development lifecycle, including designing, generating code, testing, monitoring and releasing software Prior experience working with backend tech stacks Ability to analyze and improve efficiency, scalability, and stability of various system resources Experience with service oriented architecture, writing REST API's, unit testing, and architectural design Understanding of modern web stacks and architecture (HTTP, REST) Experience with SQL and NoSQL databases and other technologies (e.g. Postgres, Redis, Elasticsearch, RabbitMQ) Notice Regarding Use of AI and Automated Tools: To streamline our hiring process, DoorDash utilizes an automated recruitment tool called Gem. How it works: Gem assists our recruiting team by evaluating job related qualifications and characteristics in connection with hiring. The tool is designed and used to support - rather than replace - human decision-making; trained personnel make final decisions with meaningful human review and oversight, and DoorDash does not use Gem or other AI-enabled tool in a manner that has the effect of subjecting applicants or employees to discrimination based on any protected characteristic or proxy or for engaging in any protected activity under applicable law. Data Retention, Privacy & Bias Audit: Data collected during this process is retained in accordance with our Candidate Privacy Policy and applicable state laws. In compliance with New York City Local Law 144, the independent bias audit summary for Gem is publicly available for review at our Careers Page. We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on August 21, 2023. Please see the independent bias audit report covering our use of Covey here. Compensation The successful candidate's starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee's work location. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more information. DoorDash cares about you and your overall well-being. That's why we offer a comprehensive benefits package to all regular employees, which includes a 401(k) plan with employer matching, 16 weeks of paid parental leave, wellness benefits, commuter benefits match, paid time off and paid sick leave in compliance with applicable laws (e.g. Colorado Healthy Families and Workplaces Act). DoorDash also offers medical, dental, and vision benefits, 11 paid holidays, disability and basic life insurance, family-forming assistance, and a mental health program, among others. To learn more about our benefits, visit our careers page here. See below for paid time off details: For salaried roles: flexible paid time off/vacation, plus 80 hours of paid sick time per year. For hourly roles: vacation accrued at about 1 hour for every 25.97 hours worked (e.g. about 6.7 hours/month if working 40 hours/week; about 3.4 hours/month if working 20 hours/week), and paid sick time accrued at 1 hour for every 30 hours worked (e.g. about 5.8 hours/month if working 40 hours/week; about 2.9 hours/month if working 20 hours/week). The national base pay ranges for this position within the United States, including Illinois and Colorado. I4 $130,600-$192,000 USD I5 $159,800-$235,000 USD I6 $193,800-$285,000 USD About DoorDash At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users-from Dashers to merchant partners to consumers. We are a technology and logistics company that started by enabling door-to-door delivery, and we are looking for team members who can help us go from a company that is known as the place you order food to a company that people turn to for any and all goods. DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees' happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more. Our Commitment to Diversity and Inclusion We're committed to growing and empowering a more inclusive community within our company, industry, and cities. That's why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on "protected categories," we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce - people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination. Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation. If you need any accommodations, please inform your recruiting contact upon initial connection. Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only We used Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provided Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023. We resumed using Covey Scout for Inbound again on June 29, 2024, and ceased using Covey Scout for Inbound on April 30, 2026. The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring - learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash .
About the Team DoorDash is building the world's most reliable on-demand, logistics engine for delivery. We are continuing to grow rapidly and expanding our Engineering offices globally! We are looking for Staff Backend Engineers to build and maintain a large scale 24x7 global infrastructure system that powers DoorDash's 3-sided marketplace of Consumers, Merchants and Dashers. About the Role We're looking for Staff Backend Engineers to work on both Product and Product Platform based teams. Product focused Engineers work at the intersection of product and infrastructure to solve key business problems with elegant technical solutions. You'll operate our backend services and architecture that support all product functionality and will be challenged to consider the big picture collaborating cross-functionally, as well as evaluating and executing on trade-offs to maximize business impact for the company. We expect Staff Engineers to be able to run cross-functional projects end to end, mentor their junior to mid level peers and influence our technical roadmaps This role is hybrid with some in-office time expected and will report to an Engineering Manager. You're excited about this opportunity because you will Develop, release and run large-scale web applications Develop and define the backend architecture and tech stack for a product area Improve performance, reliability, scalability and security for our backend systems Be involved in transitioning our monolithic codebase to a microservice-based architecture Completely disrupt logistics by tackling bleeding-edge, technical problems We're excited about you because you have B.S., M.S., or PhD. in Computer Science or equivalent 8+ years of industry experience Proficiency in using AI coding tools (e.g., Claude Code, Codex, Cursor) in the full software development lifecycle, including designing, generating code, testing, monitoring and releasing software Prior experience working with backend tech stacks Ability to analyze and improve efficiency, scalability, and stability of various system resources Experience with service oriented architecture, writing REST API's, unit testing, and architectural design Understanding of modern web stacks and architecture (HTTP, REST) Experience with SQL and NoSQL databases and other technologies (e.g. Postgres, Redis, Elasticsearch, RabbitMQ) Notice Regarding Use of AI and Automated Tools: To streamline our hiring process, DoorDash utilizes an automated recruitment tool called Gem. How it works: Gem assists our recruiting team by evaluating job related qualifications and characteristics in connection with hiring. The tool is designed and used to support - rather than replace - human decision-making; trained personnel make final decisions with meaningful human review and oversight, and DoorDash does not use Gem or other AI-enabled tool in a manner that has the effect of subjecting applicants or employees to discrimination based on any protected characteristic or proxy or for engaging in any protected activity under applicable law. Data Retention, Privacy & Bias Audit: Data collected during this process is retained in accordance with our Candidate Privacy Policy and applicable state laws. In compliance with New York City Local Law 144, the independent bias audit summary for Gem is publicly available for review at our Careers Page. We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on August 21, 2023. Please see the independent bias audit report covering our use of Covey here. Compensation The successful candidate's starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee's work location. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more information. DoorDash cares about you and your overall well-being. That's why we offer a comprehensive benefits package to all regular employees, which includes a 401(k) plan with employer matching, 16 weeks of paid parental leave, wellness benefits, commuter benefits match, paid time off and paid sick leave in compliance with applicable laws (e.g. Colorado Healthy Families and Workplaces Act). DoorDash also offers medical, dental, and vision benefits, 11 paid holidays, disability and basic life insurance, family-forming assistance, and a mental health program, among others. To learn more about our benefits, visit our careers page here. See below for paid time off details: For salaried roles: flexible paid time off/vacation, plus 80 hours of paid sick time per year. For hourly roles: vacation accrued at about 1 hour for every 25.97 hours worked (e.g. about 6.7 hours/month if working 40 hours/week; about 3.4 hours/month if working 20 hours/week), and paid sick time accrued at 1 hour for every 30 hours worked (e.g. about 5.8 hours/month if working 40 hours/week; about 2.9 hours/month if working 20 hours/week). The national base pay ranges for this position within the United States, including Illinois and Colorado. I4 $130,600-$192,000 USD I5 $159,800-$235,000 USD I6 $193,800-$285,000 USD About DoorDash At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users-from Dashers to merchant partners to consumers. We are a technology and logistics company that started by enabling door-to-door delivery, and we are looking for team members who can help us go from a company that is known as the place you order food to a company that people turn to for any and all goods. DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees' happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more. Our Commitment to Diversity and Inclusion We're committed to growing and empowering a more inclusive community within our company, industry, and cities. That's why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on "protected categories," we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce - people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination. Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation. If you need any accommodations, please inform your recruiting contact upon initial connection. Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only We used Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provided Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023. We resumed using Covey Scout for Inbound again on June 29, 2024, and ceased using Covey Scout for Inbound on April 30, 2026. The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring - learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash .
09/24/2026
Full time
About the Team DoorDash is building the world's most reliable on-demand, logistics engine for delivery. We are continuing to grow rapidly and expanding our Engineering offices globally! We are looking for Staff Backend Engineers to build and maintain a large scale 24x7 global infrastructure system that powers DoorDash's 3-sided marketplace of Consumers, Merchants and Dashers. About the Role We're looking for Staff Backend Engineers to work on both Product and Product Platform based teams. Product focused Engineers work at the intersection of product and infrastructure to solve key business problems with elegant technical solutions. You'll operate our backend services and architecture that support all product functionality and will be challenged to consider the big picture collaborating cross-functionally, as well as evaluating and executing on trade-offs to maximize business impact for the company. We expect Staff Engineers to be able to run cross-functional projects end to end, mentor their junior to mid level peers and influence our technical roadmaps This role is hybrid with some in-office time expected and will report to an Engineering Manager. You're excited about this opportunity because you will Develop, release and run large-scale web applications Develop and define the backend architecture and tech stack for a product area Improve performance, reliability, scalability and security for our backend systems Be involved in transitioning our monolithic codebase to a microservice-based architecture Completely disrupt logistics by tackling bleeding-edge, technical problems We're excited about you because you have B.S., M.S., or PhD. in Computer Science or equivalent 8+ years of industry experience Proficiency in using AI coding tools (e.g., Claude Code, Codex, Cursor) in the full software development lifecycle, including designing, generating code, testing, monitoring and releasing software Prior experience working with backend tech stacks Ability to analyze and improve efficiency, scalability, and stability of various system resources Experience with service oriented architecture, writing REST API's, unit testing, and architectural design Understanding of modern web stacks and architecture (HTTP, REST) Experience with SQL and NoSQL databases and other technologies (e.g. Postgres, Redis, Elasticsearch, RabbitMQ) Notice Regarding Use of AI and Automated Tools: To streamline our hiring process, DoorDash utilizes an automated recruitment tool called Gem. How it works: Gem assists our recruiting team by evaluating job related qualifications and characteristics in connection with hiring. The tool is designed and used to support - rather than replace - human decision-making; trained personnel make final decisions with meaningful human review and oversight, and DoorDash does not use Gem or other AI-enabled tool in a manner that has the effect of subjecting applicants or employees to discrimination based on any protected characteristic or proxy or for engaging in any protected activity under applicable law. Data Retention, Privacy & Bias Audit: Data collected during this process is retained in accordance with our Candidate Privacy Policy and applicable state laws. In compliance with New York City Local Law 144, the independent bias audit summary for Gem is publicly available for review at our Careers Page. We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on August 21, 2023. Please see the independent bias audit report covering our use of Covey here. Compensation The successful candidate's starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee's work location. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more information. DoorDash cares about you and your overall well-being. That's why we offer a comprehensive benefits package to all regular employees, which includes a 401(k) plan with employer matching, 16 weeks of paid parental leave, wellness benefits, commuter benefits match, paid time off and paid sick leave in compliance with applicable laws (e.g. Colorado Healthy Families and Workplaces Act). DoorDash also offers medical, dental, and vision benefits, 11 paid holidays, disability and basic life insurance, family-forming assistance, and a mental health program, among others. To learn more about our benefits, visit our careers page here. See below for paid time off details: For salaried roles: flexible paid time off/vacation, plus 80 hours of paid sick time per year. For hourly roles: vacation accrued at about 1 hour for every 25.97 hours worked (e.g. about 6.7 hours/month if working 40 hours/week; about 3.4 hours/month if working 20 hours/week), and paid sick time accrued at 1 hour for every 30 hours worked (e.g. about 5.8 hours/month if working 40 hours/week; about 2.9 hours/month if working 20 hours/week). The national base pay ranges for this position within the United States, including Illinois and Colorado. I4 $130,600-$192,000 USD I5 $159,800-$235,000 USD I6 $193,800-$285,000 USD About DoorDash At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users-from Dashers to merchant partners to consumers. We are a technology and logistics company that started by enabling door-to-door delivery, and we are looking for team members who can help us go from a company that is known as the place you order food to a company that people turn to for any and all goods. DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees' happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more. Our Commitment to Diversity and Inclusion We're committed to growing and empowering a more inclusive community within our company, industry, and cities. That's why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on "protected categories," we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce - people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination. Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation. If you need any accommodations, please inform your recruiting contact upon initial connection. Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only We used Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provided Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023. We resumed using Covey Scout for Inbound again on June 29, 2024, and ceased using Covey Scout for Inbound on April 30, 2026. The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring - learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash .
Job Description Job Description Description: MDVIP: Transforming Primary Care, One Patient at a Time MDVIP is a national leader in personalized healthcare, empowering over 425,000 members to achieve their health and wellness goals through a network of more than 1,400 concierge primary care physicians. Our program emphasizes preventive medicine, offering comprehensive screenings, advanced diagnostics, and individualized wellness plans. Recognized as a Great Place to Work since 2018, MDVIP is committed to excellence in patient care and employee satisfaction. Position Summary The Network Security Engineer is an individual contributor role reporting to the Sr. Network Operations Manager. This is a contract-to-perm position (6-month contract), based in Boca Raton, FL (Hybrid), supporting the Boca Raton and Atlanta (ATL) data centers. This role provides dedicated engineering capacity for the ownership, hardening, and reliability of the organization's on-premises and hybrid infrastructure. The Network Security Engineer sustains a predictable remediation cadence across recurring security obligations - including monthly patching, zero-day response, vulnerability remediation, OS hardening, and cloud security score - while maintaining core platform services that underpin 24/7 operational reliability. This role is critical to reducing key-person risk, closing the capacity gap between rising compliance/audit workloads and existing staffing, and ensuring remediation tied to penetration tests, annual Security Risk Assessments (SRAs), and HIPAA assessments is completed on schedule. Key Responsibilities Security Remediation & Compliance Execute remediation for findings from penetration tests, annual Security Risk Assessments (SRAs), and HIPAA assessments, ensuring items are tracked to closure within defined SLAs; work with Project Managers, technology stack owners, and third-party resources to ensure timely delivery. Lead monthly patching cycles and rapid zero-day response across on-prem and hybrid server environments. Apply security remediations on infrastructure appliances including Cisco switches, firewalls (Palo Alto, Fortinet, Cisco Meraki), Linux appliances, and the virtual server environment and SANs (VMware, vSphere). Perform vulnerability remediation and OS/system hardening in line with established security baselines and audit requirements. Maintain a remediation burndown and support reporting on patch/vulnerability KPIs, including critical remediation timelines and cloud security score. Core Platform & Infrastructure Ownership Track Azure Security Score trends and drive remediation of flagged recommendations, providing regular posture reporting to leadership and audit stakeholders. Manage the full PKI infrastructure/SSL certificate lifecycle, including issuance, renewal, tracking, and remediation of expiring or non-compliant certificates, and manage key vault rotations for critical cloud-hosted applications. Utilize automation tools to deploy required machine certificates across the organization. Manage syslog retention and forwarding across on-premises and cloud infrastructure, supporting the Security team's SIEM ingestion, correlation, and compliance reporting needs. Administer network micro-segmentation using Illumio, including policy design, enforcement, and ongoing tuning. Review and administer security tools to harden network edge security, including next generation firewalls, SD-WAN, and switching, striving for zero trust networks. Manage wireless security, including network access control (NAC), utilizing Cisco wireless and HPE Aruba ClearPass. Administer Identity and Access Management/Privileged Access Management (IAM/PAM) using BeyondTrust for remote server access, including access reviews and privileged session controls. Manage and review Azure RBAC roles and access privileges, and perform Active Directory hardening in compliance with discovered vulnerabilities and best practices. Review and secure SDLC servers and hosted applications, both on-premises and in Azure, applying measures to keep all public endpoints secure. Operational Reliability & Risk Reduction Balance day-to-day operational demands (SSL renewals/rotations, security remediation, configuration hardening, troubleshooting) with planned, time-bound deliverables. Identify and reduce single-point-of-failure risk by documenting procedures and cross-training across PKI, AD, cloud access, segmentation, and patching functions. Partner with the Azure DevOps and Security teams to align on-prem/hybrid remediation with broader cloud governance and security initiatives. Escalate emerging risks, audit exceptions, and outage-driving conflicts between operational and remediation priorities to leadership. Key Competencies Analytical: synthesizes complex or diverse technical information, using intuition and experience to complement data. Collaboration: openly partners with security operations, DevOps, and business stakeholders, valuing diverse perspectives and building productive relationships. Communication: listens and responds effectively to stakeholder needs; writes and speaks clearly and persuasively. Initiative and personal accountability: identifies and creates solutions independently, sets and meets deadlines, and reports timely and prepared. Problem solving/decision making: thinks strategically, drawing on diverse sources to identify issues, risks, and trends and determine optimal, timely solutions. Strong troubleshooting skills and the ability to manage competing priorities between reactive operational work and scheduled remediation projects. Ability to support 24/7 platform reliability, including scheduled evening and weekend work for monthly patching cycles, zero-day response, and maintenance outside normal business hours. Ability to travel periodically between the Boca Raton, FL and Atlanta (ATL) data centers as needed. Requirements: Qualifications Required Qualifications Bachelor's degree in Computer Science, Information Security, or a related field; at least five (5) years of related business experience in network security, systems engineering, or infrastructure operations in an enterprise environment, or an equivalent combination of education and professional experience. Hands-on experience with both on-premises and cloud infrastructure platforms, including vulnerability management, patch management, and OS hardening across Windows and/or Linux server environments. Experience with PKI/SSL certificate lifecycle management and IAM/PAM tools (e.g., BeyondTrust or equivalent). Experience partnering with security operations/SIEM teams to onboard new log sources and ensure reliable syslog delivery from network infrastructure. Working knowledge of hybrid Active Directory/Microsoft Entra ID environments and familiarity with network segmentation concepts and tools (e.g., Illumio or comparable micro-segmentation platforms). Experience supporting audit and compliance remediation cycles, such as HIPAA assessments, SRAs, or penetration test findings. Proficiency with firewalls and network security appliances (Palo Alto, Fortinet, Cisco Meraki, Cisco switches), SD-WAN/next-generation firewall administration, and wireless security/NAC (Cisco wireless, HPE Aruba ClearPass). This is a hybrid role based in Boca Raton, FL, with periodic on-site support required at the Boca Raton and Atlanta (ATL) data centers. At no time may work be performed, or computer systems accessed, from outside of the U.S. Preferred Qualifications Vendor-specific certifications, Microsoft Azure, Security+, CISSP, GIAC, or an equivalent security certification. Scripting/automation experience (e.g., PowerShell) for remediation and hardening tasks. Why Join MDVIP? Be part of a mission-driven organization leading innovation in personalized healthcare. Drive transformation and growth in a dynamic, fast-paced environment. Competitive Compensation: Attractive base salary complemented by performance-based incentives. Comprehensive Benefits: Health, dental, vision insurance, and retirement plans. Professional Development: Access to ongoing training and leadership development programs. Positive Work Environment: Consistently recognized as a Great Place to Work , fostering a culture of collaboration and excellence. MDVIP is an Equal Opportunity Employer and is committed to fostering an inclusive and diverse workplace. We welcome applicants of all backgrounds and do not discriminate based on race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other protected status. We believe that diversity and inclusion drive innovation and strengthen our company culture. If you require accommodations during the application or interview process, please let us know, and we will be happy to assist. Pay Transparency: Our compensation reflects the cost of labor across appropriate US geographic markets. Pay is based on several factors including but not limited to market location and may vary depending on job-related knowledge, skills, and education/training and a candidate's work experience. Hired applicants are offered annual incentive compensation programs, subject to applicable eligibility requirements . click apply for full job details
09/24/2026
Full time
Job Description Job Description Description: MDVIP: Transforming Primary Care, One Patient at a Time MDVIP is a national leader in personalized healthcare, empowering over 425,000 members to achieve their health and wellness goals through a network of more than 1,400 concierge primary care physicians. Our program emphasizes preventive medicine, offering comprehensive screenings, advanced diagnostics, and individualized wellness plans. Recognized as a Great Place to Work since 2018, MDVIP is committed to excellence in patient care and employee satisfaction. Position Summary The Network Security Engineer is an individual contributor role reporting to the Sr. Network Operations Manager. This is a contract-to-perm position (6-month contract), based in Boca Raton, FL (Hybrid), supporting the Boca Raton and Atlanta (ATL) data centers. This role provides dedicated engineering capacity for the ownership, hardening, and reliability of the organization's on-premises and hybrid infrastructure. The Network Security Engineer sustains a predictable remediation cadence across recurring security obligations - including monthly patching, zero-day response, vulnerability remediation, OS hardening, and cloud security score - while maintaining core platform services that underpin 24/7 operational reliability. This role is critical to reducing key-person risk, closing the capacity gap between rising compliance/audit workloads and existing staffing, and ensuring remediation tied to penetration tests, annual Security Risk Assessments (SRAs), and HIPAA assessments is completed on schedule. Key Responsibilities Security Remediation & Compliance Execute remediation for findings from penetration tests, annual Security Risk Assessments (SRAs), and HIPAA assessments, ensuring items are tracked to closure within defined SLAs; work with Project Managers, technology stack owners, and third-party resources to ensure timely delivery. Lead monthly patching cycles and rapid zero-day response across on-prem and hybrid server environments. Apply security remediations on infrastructure appliances including Cisco switches, firewalls (Palo Alto, Fortinet, Cisco Meraki), Linux appliances, and the virtual server environment and SANs (VMware, vSphere). Perform vulnerability remediation and OS/system hardening in line with established security baselines and audit requirements. Maintain a remediation burndown and support reporting on patch/vulnerability KPIs, including critical remediation timelines and cloud security score. Core Platform & Infrastructure Ownership Track Azure Security Score trends and drive remediation of flagged recommendations, providing regular posture reporting to leadership and audit stakeholders. Manage the full PKI infrastructure/SSL certificate lifecycle, including issuance, renewal, tracking, and remediation of expiring or non-compliant certificates, and manage key vault rotations for critical cloud-hosted applications. Utilize automation tools to deploy required machine certificates across the organization. Manage syslog retention and forwarding across on-premises and cloud infrastructure, supporting the Security team's SIEM ingestion, correlation, and compliance reporting needs. Administer network micro-segmentation using Illumio, including policy design, enforcement, and ongoing tuning. Review and administer security tools to harden network edge security, including next generation firewalls, SD-WAN, and switching, striving for zero trust networks. Manage wireless security, including network access control (NAC), utilizing Cisco wireless and HPE Aruba ClearPass. Administer Identity and Access Management/Privileged Access Management (IAM/PAM) using BeyondTrust for remote server access, including access reviews and privileged session controls. Manage and review Azure RBAC roles and access privileges, and perform Active Directory hardening in compliance with discovered vulnerabilities and best practices. Review and secure SDLC servers and hosted applications, both on-premises and in Azure, applying measures to keep all public endpoints secure. Operational Reliability & Risk Reduction Balance day-to-day operational demands (SSL renewals/rotations, security remediation, configuration hardening, troubleshooting) with planned, time-bound deliverables. Identify and reduce single-point-of-failure risk by documenting procedures and cross-training across PKI, AD, cloud access, segmentation, and patching functions. Partner with the Azure DevOps and Security teams to align on-prem/hybrid remediation with broader cloud governance and security initiatives. Escalate emerging risks, audit exceptions, and outage-driving conflicts between operational and remediation priorities to leadership. Key Competencies Analytical: synthesizes complex or diverse technical information, using intuition and experience to complement data. Collaboration: openly partners with security operations, DevOps, and business stakeholders, valuing diverse perspectives and building productive relationships. Communication: listens and responds effectively to stakeholder needs; writes and speaks clearly and persuasively. Initiative and personal accountability: identifies and creates solutions independently, sets and meets deadlines, and reports timely and prepared. Problem solving/decision making: thinks strategically, drawing on diverse sources to identify issues, risks, and trends and determine optimal, timely solutions. Strong troubleshooting skills and the ability to manage competing priorities between reactive operational work and scheduled remediation projects. Ability to support 24/7 platform reliability, including scheduled evening and weekend work for monthly patching cycles, zero-day response, and maintenance outside normal business hours. Ability to travel periodically between the Boca Raton, FL and Atlanta (ATL) data centers as needed. Requirements: Qualifications Required Qualifications Bachelor's degree in Computer Science, Information Security, or a related field; at least five (5) years of related business experience in network security, systems engineering, or infrastructure operations in an enterprise environment, or an equivalent combination of education and professional experience. Hands-on experience with both on-premises and cloud infrastructure platforms, including vulnerability management, patch management, and OS hardening across Windows and/or Linux server environments. Experience with PKI/SSL certificate lifecycle management and IAM/PAM tools (e.g., BeyondTrust or equivalent). Experience partnering with security operations/SIEM teams to onboard new log sources and ensure reliable syslog delivery from network infrastructure. Working knowledge of hybrid Active Directory/Microsoft Entra ID environments and familiarity with network segmentation concepts and tools (e.g., Illumio or comparable micro-segmentation platforms). Experience supporting audit and compliance remediation cycles, such as HIPAA assessments, SRAs, or penetration test findings. Proficiency with firewalls and network security appliances (Palo Alto, Fortinet, Cisco Meraki, Cisco switches), SD-WAN/next-generation firewall administration, and wireless security/NAC (Cisco wireless, HPE Aruba ClearPass). This is a hybrid role based in Boca Raton, FL, with periodic on-site support required at the Boca Raton and Atlanta (ATL) data centers. At no time may work be performed, or computer systems accessed, from outside of the U.S. Preferred Qualifications Vendor-specific certifications, Microsoft Azure, Security+, CISSP, GIAC, or an equivalent security certification. Scripting/automation experience (e.g., PowerShell) for remediation and hardening tasks. Why Join MDVIP? Be part of a mission-driven organization leading innovation in personalized healthcare. Drive transformation and growth in a dynamic, fast-paced environment. Competitive Compensation: Attractive base salary complemented by performance-based incentives. Comprehensive Benefits: Health, dental, vision insurance, and retirement plans. Professional Development: Access to ongoing training and leadership development programs. Positive Work Environment: Consistently recognized as a Great Place to Work , fostering a culture of collaboration and excellence. MDVIP is an Equal Opportunity Employer and is committed to fostering an inclusive and diverse workplace. We welcome applicants of all backgrounds and do not discriminate based on race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other protected status. We believe that diversity and inclusion drive innovation and strengthen our company culture. If you require accommodations during the application or interview process, please let us know, and we will be happy to assist. Pay Transparency: Our compensation reflects the cost of labor across appropriate US geographic markets. Pay is based on several factors including but not limited to market location and may vary depending on job-related knowledge, skills, and education/training and a candidate's work experience. Hired applicants are offered annual incentive compensation programs, subject to applicable eligibility requirements . click apply for full job details
Job Description Job Description Job Description Summary The System Engineer III, Firewalls, reports to the Manager, Network Infrastructure and Security Engineering in support of MUSC's academic, research and healthcare missions. Areas of expertise include firewall administration, patching, VPN configuration, address translation, routing, IP address management, network segmentation, security group tags, SDWAN, dynamic routing protocols, SSO, certificate management, and advanced troubleshooting. This position serves as a subject matter expert for network security services, evaluates and resolves complex technical issues and demonstrates strong analytical and communication skills to maximize the benefit of services the team provides for Information Solutions. Generates appropriate documentation, communications, processes, and educational plans to identify and remove obstacles to, and mitigate the disruption of change related to the design, management, implementation, and operations of the network; is responsible for the timely resolution of network issues; takes a lead role in projects; participates in team and project meetings and provides input on solutions to improve efficiency. The position coaches and transfers knowledge to peers and staff, maintains high professional standards, and exhibits excellent customer service skills while performing assigned tasks. Entity MUSC Community Physicians (MCP) Worker Type Employee Worker Sub-Type Regular Cost Center CC006134 MCP - Information Solutions Pay Rate Type Salary Pay Grade Health-30 Scheduled Weekly Hours 40 Work Shift Job Description The System Engineer III, Firewalls, reports to the Manager, Network Infrastructure and Security Engineering in support of MUSC's academic, research and healthcare missions. Areas of expertise include firewall administration, patching, VPN configuration, address translation, routing, IP address management, network segmentation, security group tags, SDWAN, dynamic routing protocols, SSO, certificate management, and advanced troubleshooting. This position serves as a subject matter expert for network security services, evaluates and resolves complex technical issues and demonstrates strong analytical and communication skills to maximize the benefit of services the team provides for Information Solutions. Generates appropriate documentation, communications, processes, and educational plans to identify and remove obstacles to, and mitigate the disruption of change related to the design, management, implementation, and operations of the network; is responsible for the timely resolution of network issues; takes a lead role in projects; participates in team and project meetings and provides input on solutions to improve efficiency. The position coaches and transfers knowledge to peers and staff, maintains high professional standards, and exhibits excellent customer service skills while performing assigned tasks. Additional Job Description Requirements (Education, Work Experience, Licensure, Registry &/or Certifications) A bachelor's degree and five years directly related experience; or a high school diploma and nine years directly related experience; or a Masters' degree and 3 years directly related experience required. 7+ years of Network experience is preferred. Must possess strong interpersonal, project management, analytical and communication skills. Experience in implementing, administering, and troubleshooting network security devices, including: firewalls, network access control, and monitoring applications. Knowledge of communication or information systems. Knowledge and technical expertise in networking protocols, security, and wireless communications. If you like working with energetic enthusiastic individuals, you will enjoy your career with us! The Medical University of South Carolina is an Equal Opportunity Employer. MUSC does not discriminate on the basis of race, color, religion or belief, age, sex, national origin, gender identity, sexual orientation, disability, protected veteran status, family or parental status, or any other status protected by state laws and/or federal regulations. All qualified applicants are encouraged to apply and will receive consideration for employment based upon applicable qualifications, merit and business need. Medical University of South Carolina participates in the federal E-Verify program to confirm the identity and employment authorization of all newly hired employees. For further information about the E-Verify program, please click here: -verify/employees
09/24/2026
Full time
Job Description Job Description Job Description Summary The System Engineer III, Firewalls, reports to the Manager, Network Infrastructure and Security Engineering in support of MUSC's academic, research and healthcare missions. Areas of expertise include firewall administration, patching, VPN configuration, address translation, routing, IP address management, network segmentation, security group tags, SDWAN, dynamic routing protocols, SSO, certificate management, and advanced troubleshooting. This position serves as a subject matter expert for network security services, evaluates and resolves complex technical issues and demonstrates strong analytical and communication skills to maximize the benefit of services the team provides for Information Solutions. Generates appropriate documentation, communications, processes, and educational plans to identify and remove obstacles to, and mitigate the disruption of change related to the design, management, implementation, and operations of the network; is responsible for the timely resolution of network issues; takes a lead role in projects; participates in team and project meetings and provides input on solutions to improve efficiency. The position coaches and transfers knowledge to peers and staff, maintains high professional standards, and exhibits excellent customer service skills while performing assigned tasks. Entity MUSC Community Physicians (MCP) Worker Type Employee Worker Sub-Type Regular Cost Center CC006134 MCP - Information Solutions Pay Rate Type Salary Pay Grade Health-30 Scheduled Weekly Hours 40 Work Shift Job Description The System Engineer III, Firewalls, reports to the Manager, Network Infrastructure and Security Engineering in support of MUSC's academic, research and healthcare missions. Areas of expertise include firewall administration, patching, VPN configuration, address translation, routing, IP address management, network segmentation, security group tags, SDWAN, dynamic routing protocols, SSO, certificate management, and advanced troubleshooting. This position serves as a subject matter expert for network security services, evaluates and resolves complex technical issues and demonstrates strong analytical and communication skills to maximize the benefit of services the team provides for Information Solutions. Generates appropriate documentation, communications, processes, and educational plans to identify and remove obstacles to, and mitigate the disruption of change related to the design, management, implementation, and operations of the network; is responsible for the timely resolution of network issues; takes a lead role in projects; participates in team and project meetings and provides input on solutions to improve efficiency. The position coaches and transfers knowledge to peers and staff, maintains high professional standards, and exhibits excellent customer service skills while performing assigned tasks. Additional Job Description Requirements (Education, Work Experience, Licensure, Registry &/or Certifications) A bachelor's degree and five years directly related experience; or a high school diploma and nine years directly related experience; or a Masters' degree and 3 years directly related experience required. 7+ years of Network experience is preferred. Must possess strong interpersonal, project management, analytical and communication skills. Experience in implementing, administering, and troubleshooting network security devices, including: firewalls, network access control, and monitoring applications. Knowledge of communication or information systems. Knowledge and technical expertise in networking protocols, security, and wireless communications. If you like working with energetic enthusiastic individuals, you will enjoy your career with us! The Medical University of South Carolina is an Equal Opportunity Employer. MUSC does not discriminate on the basis of race, color, religion or belief, age, sex, national origin, gender identity, sexual orientation, disability, protected veteran status, family or parental status, or any other status protected by state laws and/or federal regulations. All qualified applicants are encouraged to apply and will receive consideration for employment based upon applicable qualifications, merit and business need. Medical University of South Carolina participates in the federal E-Verify program to confirm the identity and employment authorization of all newly hired employees. For further information about the E-Verify program, please click here: -verify/employees
Job Description Job Description QED Systems, LLC, is currently recruiting a Team Lead, Tactical Systems (Engineer) to join our team at APG, MD to support our customer, Project Manager Intelligence Systems & Analytics (PM IS&A). Duties: Oversee product design and interrogation supporting mission-specific tactical requirements. Integration of emerging technologies/enhancements to address Army/IC customer mission requests (i.e.; new data flows, formats). Assures alignment of baseline "Raise the Bar" (RTB) requirements and guidance. Manage the integration of hardware and software components, ensuring seamless operation of mission-critical data flows and network. Coordinate field requirements to ensure seamless transition to modernized platforms. Oversee all stages of product creation and delivery. Provide resource management and assesses risk (cost, schedule, quality). Required Skills & Experience: Detail-oriented with excellent technical, verbal, and written communication skills. Experience in performing installation, configuration and troubleshooting of information technology systems. Experience administering (installing, configuring and troubleshooting) systems running in Windows, Linux and VMWare environments. Experience in the intelligence, surveillance and reconnaissance mission area. Experience with the use and testing of Intelligence, Surveillance, and Reconnaissance (ISR) software systems. Required Clearance: ACTIVE CLEARANCE LEVEL REQUIRED: Top Secret w/SCI eligibly Qualifications: Bachelor's degree required. Degree may be in Electrical, Electronic, System, Software or Computer Engineering, Computer Science, Mechanical Engineering or related field. A minimum of ten (10) years of related work experience is required. Travel: 25 % travel is expected for this position. Travel may include continental United States and outside continental United States locations. Work Environment: This position will be co-located with the customer and other contractors in Government office spaces. Physical Demands: Physical demands of this position include ability to: Be independently mobile. Communicate effectively with co-workers and customers. Withstand prolonged periods of sitting at a desk and computer use. Climb stairs, ramps, ladders, and work stands. Reasonable accommodation will be provided to enable individuals with disabilities to perform the essential functions. Position Type/Expected Hours of Work: This is a full time position, Monday through Friday. Flexibility around core hours. Travel may occur outside of normal core hours. Additional Information: Please note this job description is not intended to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Assigned tasks may vary, with or without prior notice, to effectively meet client requirements. Total Compensation: QED offers a competitive compensation package for full-time employees. Our total compensation package is value-based and negotiable depending upon the candidate's specific skills and applicable relevant experience. Benefits include: Paid Time Off (PTO) 11 Paid Holidays 401(k) Matching Medical, Dental & Vision Benefits Life Insurance, AD&D, and Short-Term & Long-Term Disability Professional Growth Opportunities Additional Benefits Estimated Salary Range : $120,000.00 - $145,000.00 annually. This is not a guarantee of compensation or salary. This represents the typical range for fully qualified candidates for this position based on experience, geographic location, and other factors. The final offer amount may vary. QED Systems, LLC is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. QED Systems, LLC is an Equal Employment Opportunity and Affirmative Action Employer - Minority/Disabled/Veteran/Female
09/24/2026
Full time
Job Description Job Description QED Systems, LLC, is currently recruiting a Team Lead, Tactical Systems (Engineer) to join our team at APG, MD to support our customer, Project Manager Intelligence Systems & Analytics (PM IS&A). Duties: Oversee product design and interrogation supporting mission-specific tactical requirements. Integration of emerging technologies/enhancements to address Army/IC customer mission requests (i.e.; new data flows, formats). Assures alignment of baseline "Raise the Bar" (RTB) requirements and guidance. Manage the integration of hardware and software components, ensuring seamless operation of mission-critical data flows and network. Coordinate field requirements to ensure seamless transition to modernized platforms. Oversee all stages of product creation and delivery. Provide resource management and assesses risk (cost, schedule, quality). Required Skills & Experience: Detail-oriented with excellent technical, verbal, and written communication skills. Experience in performing installation, configuration and troubleshooting of information technology systems. Experience administering (installing, configuring and troubleshooting) systems running in Windows, Linux and VMWare environments. Experience in the intelligence, surveillance and reconnaissance mission area. Experience with the use and testing of Intelligence, Surveillance, and Reconnaissance (ISR) software systems. Required Clearance: ACTIVE CLEARANCE LEVEL REQUIRED: Top Secret w/SCI eligibly Qualifications: Bachelor's degree required. Degree may be in Electrical, Electronic, System, Software or Computer Engineering, Computer Science, Mechanical Engineering or related field. A minimum of ten (10) years of related work experience is required. Travel: 25 % travel is expected for this position. Travel may include continental United States and outside continental United States locations. Work Environment: This position will be co-located with the customer and other contractors in Government office spaces. Physical Demands: Physical demands of this position include ability to: Be independently mobile. Communicate effectively with co-workers and customers. Withstand prolonged periods of sitting at a desk and computer use. Climb stairs, ramps, ladders, and work stands. Reasonable accommodation will be provided to enable individuals with disabilities to perform the essential functions. Position Type/Expected Hours of Work: This is a full time position, Monday through Friday. Flexibility around core hours. Travel may occur outside of normal core hours. Additional Information: Please note this job description is not intended to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Assigned tasks may vary, with or without prior notice, to effectively meet client requirements. Total Compensation: QED offers a competitive compensation package for full-time employees. Our total compensation package is value-based and negotiable depending upon the candidate's specific skills and applicable relevant experience. Benefits include: Paid Time Off (PTO) 11 Paid Holidays 401(k) Matching Medical, Dental & Vision Benefits Life Insurance, AD&D, and Short-Term & Long-Term Disability Professional Growth Opportunities Additional Benefits Estimated Salary Range : $120,000.00 - $145,000.00 annually. This is not a guarantee of compensation or salary. This represents the typical range for fully qualified candidates for this position based on experience, geographic location, and other factors. The final offer amount may vary. QED Systems, LLC is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. QED Systems, LLC is an Equal Employment Opportunity and Affirmative Action Employer - Minority/Disabled/Veteran/Female
Job Description Job Description Overview Configuration Manager WORK LOCATION: Hanscom AFB, MA (In Office/On Base 3 days a week) SALARY RANGE: $115,000 - $135,000 depending on experience, certifications, and qualifications JOB STATUS: Full-time; salaried SECURITY CLEARANCE: MUST have an active Secret security clearance Astrion has an exciting opportunity for a Configuration Manager to support the Survivable Airborne Operations Center (SAOC) Division at Hanscom AFB, MA. The SAOC program is a Major Defense Acquisition Program tasked with leading the development and delivery of the replacement fleet for the E-4B National Airborne Operations (NAOC). Responsibilities Responsible for maintaining technical baselines, especially software baselines, of USAF systems in accordance with Dept of Defense and USAF guidance. Design, develop, and establish configuration management documentation based on prescribed standards, program requirements, and conventional best practices. Prepare documentation for, coordinate, and lead Configuration Control Boards. Conduct closeout actions and archive all CM documentation. Report CCB status to leadership. Assist in preparing and reviewing program/project documentation, e.g. Requests for Proposals (RFPs), Statement Of Objectives (SOOs), Statements-of-Work (SOWs), Performance Works Statements (PWS), System/Technical Requirements Documents (SRD/TRD), Contract Data Requirements Lists (CDRL), AF Form 1067s, etc. and assist in source selections for systems. Review and update CM plans periodically in accordance with USAF guidance. Develop process, then maintain and standardize technical performance matrices to include capturing update steps, configuration control considerations, and approval process. Develop process documents. Maintain configuration control of assessments developed by the technical team. Qualifications Experience on Dept of Defense or Air Force acquisition programs is highly desired. Experience with Configuration Management tools. Demonstrated characteristics of a self-starter who is able to work independently and effectively interact with program team members and senior leadership.
09/23/2026
Full time
Job Description Job Description Overview Configuration Manager WORK LOCATION: Hanscom AFB, MA (In Office/On Base 3 days a week) SALARY RANGE: $115,000 - $135,000 depending on experience, certifications, and qualifications JOB STATUS: Full-time; salaried SECURITY CLEARANCE: MUST have an active Secret security clearance Astrion has an exciting opportunity for a Configuration Manager to support the Survivable Airborne Operations Center (SAOC) Division at Hanscom AFB, MA. The SAOC program is a Major Defense Acquisition Program tasked with leading the development and delivery of the replacement fleet for the E-4B National Airborne Operations (NAOC). Responsibilities Responsible for maintaining technical baselines, especially software baselines, of USAF systems in accordance with Dept of Defense and USAF guidance. Design, develop, and establish configuration management documentation based on prescribed standards, program requirements, and conventional best practices. Prepare documentation for, coordinate, and lead Configuration Control Boards. Conduct closeout actions and archive all CM documentation. Report CCB status to leadership. Assist in preparing and reviewing program/project documentation, e.g. Requests for Proposals (RFPs), Statement Of Objectives (SOOs), Statements-of-Work (SOWs), Performance Works Statements (PWS), System/Technical Requirements Documents (SRD/TRD), Contract Data Requirements Lists (CDRL), AF Form 1067s, etc. and assist in source selections for systems. Review and update CM plans periodically in accordance with USAF guidance. Develop process, then maintain and standardize technical performance matrices to include capturing update steps, configuration control considerations, and approval process. Develop process documents. Maintain configuration control of assessments developed by the technical team. Qualifications Experience on Dept of Defense or Air Force acquisition programs is highly desired. Experience with Configuration Management tools. Demonstrated characteristics of a self-starter who is able to work independently and effectively interact with program team members and senior leadership.
Amazon Development Center U.S., Inc.
Seattle, Washington
In this role, you will own one or more production services and get in on the ground floor of new projects bringing Generative AI to developers worldwide. You will be responsible for revenue, adoption, and the end-to-end product lifecycle of your services. Using your passion for technology and solving customer problems, you will define product strategy, drive execution, and ship offerings that customers love. We are particularly interested in candidates with depth in one or more of the following areas: AI security and safety, responsible AI, or open-source foundation models. As a Senior Technical Product Manager (External Services), you will be the subject matter expert for your area of focus within AWS Compute GenAI services. You will work closely with applied scientists, engineering teams, and go-to-market partners to translate complex technical capabilities into products that are simple for customers to adopt. You will define the roadmap, write the narratives, make the tradeoff calls, and own the results. You will also be part of the broader product leadership community at AWS, contributing to business planning, long-term technical strategy, resource prioritization, and hiring. This community works directly with senior management to set direction and ensure we deliver at the pace our customers expect. A successful candidate will bring: - Proven experience launching technical products and building business around them - Strong business acumen with the ability to own a P&L and drive revenue outcomes - Deep curiosity about generative AI, foundation models, and the developer ecosystem - Comfort operating in ambiguity within a fast-moving organization - The ability to earn trust across engineering, science, and business teams - Desire to have industry-wide impact on how AI is built, deployed, and governed Key job responsibilities Lead Product Definition - Own and drive the customer working backwards strategy, tenets, long-term goals and working backwards documents (press release, FAQ) including customer and market feedback, competitive analysis and business metrics to inform direction. Define Product Vision - Including all aspects to future roadmap, investment, innovation and experimentation. Execution of Product Planning and Development - Including customer goals and business requirements for product release, ensuring implementation is aligned with product goals and requirements, and ownership of product positioning. Lead Product Launch - Own the GTM plan to deliver results that ensure the customer and business goals are met in operational launch plans. Lead Operations - Including monitoring and response to customer feedback, continuous improvement and business growth Lead interaction with Technical Team - Including helping the technical team make tradeoffs based on customer requirements, QA/testing of the product. Business reporting - Track revenue and adoption on a daily basis. Own writing business reports on a weekly and monthly basis and review with leadership. BASIC QUALIFICATIONS - 5+ years of technical product management with internet business experience - 5+ years of working as a Technical Product Manager experience - 3+ years of technical (software development, network development, IT, other related) experience - 7+ years of full product life cycle experience - 5+ years of P&L management and pricing experience - 5+ years of creating written docs for development of new products experience - 5+ years of enterprise security product experience - 5+ years of product management in the cloud computing technology space experience - Bachelor's degree in computer science, engineering, math, finance, or economics - Experience in taking a product from conception & definition phase through engineering design and taking it to market - Experience delivering large-scale SaaS, PaaS or LaaS products where you are responsible for the full product lifecycle, from concept through GTM (go to market) PREFERRED QUALIFICATIONS - Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations - Experience working within teams delivering software products and features using agile methodologies Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, WA, Seattle - 152 900.00 USD annually
09/23/2026
Full time
In this role, you will own one or more production services and get in on the ground floor of new projects bringing Generative AI to developers worldwide. You will be responsible for revenue, adoption, and the end-to-end product lifecycle of your services. Using your passion for technology and solving customer problems, you will define product strategy, drive execution, and ship offerings that customers love. We are particularly interested in candidates with depth in one or more of the following areas: AI security and safety, responsible AI, or open-source foundation models. As a Senior Technical Product Manager (External Services), you will be the subject matter expert for your area of focus within AWS Compute GenAI services. You will work closely with applied scientists, engineering teams, and go-to-market partners to translate complex technical capabilities into products that are simple for customers to adopt. You will define the roadmap, write the narratives, make the tradeoff calls, and own the results. You will also be part of the broader product leadership community at AWS, contributing to business planning, long-term technical strategy, resource prioritization, and hiring. This community works directly with senior management to set direction and ensure we deliver at the pace our customers expect. A successful candidate will bring: - Proven experience launching technical products and building business around them - Strong business acumen with the ability to own a P&L and drive revenue outcomes - Deep curiosity about generative AI, foundation models, and the developer ecosystem - Comfort operating in ambiguity within a fast-moving organization - The ability to earn trust across engineering, science, and business teams - Desire to have industry-wide impact on how AI is built, deployed, and governed Key job responsibilities Lead Product Definition - Own and drive the customer working backwards strategy, tenets, long-term goals and working backwards documents (press release, FAQ) including customer and market feedback, competitive analysis and business metrics to inform direction. Define Product Vision - Including all aspects to future roadmap, investment, innovation and experimentation. Execution of Product Planning and Development - Including customer goals and business requirements for product release, ensuring implementation is aligned with product goals and requirements, and ownership of product positioning. Lead Product Launch - Own the GTM plan to deliver results that ensure the customer and business goals are met in operational launch plans. Lead Operations - Including monitoring and response to customer feedback, continuous improvement and business growth Lead interaction with Technical Team - Including helping the technical team make tradeoffs based on customer requirements, QA/testing of the product. Business reporting - Track revenue and adoption on a daily basis. Own writing business reports on a weekly and monthly basis and review with leadership. BASIC QUALIFICATIONS - 5+ years of technical product management with internet business experience - 5+ years of working as a Technical Product Manager experience - 3+ years of technical (software development, network development, IT, other related) experience - 7+ years of full product life cycle experience - 5+ years of P&L management and pricing experience - 5+ years of creating written docs for development of new products experience - 5+ years of enterprise security product experience - 5+ years of product management in the cloud computing technology space experience - Bachelor's degree in computer science, engineering, math, finance, or economics - Experience in taking a product from conception & definition phase through engineering design and taking it to market - Experience delivering large-scale SaaS, PaaS or LaaS products where you are responsible for the full product lifecycle, from concept through GTM (go to market) PREFERRED QUALIFICATIONS - Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations - Experience working within teams delivering software products and features using agile methodologies Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, WA, Seattle - 152 900.00 USD annually
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 Planner Evaluation team works on one of the key challenges in autonomous driving: measuring and improving the quality of the software that drives the car. We are looking for experienced data-minded software engineers and data scientists to help us improve how we characterize and evaluate changes to the Onboard software stack (Planner, Perception, etc). If you are passionate about autonomous vehicles and how to use rich, complex data to drive decision making, this is the role for you! This role follows a hybrid work schedule and reports to aSr. Staff Engineering Manager. You will: Develop signals to measure the performance and driving qualities of the Waymo driver, using a range of techniques including statistics, math, physics, algorithms and machine learning. Use simulation creatively and mine real world driving logs to measure driving performance. Design and implement methods to make a stronger connection between onboard software changes and simulated outcomes. Champion code health and best practices in a large and complex code base. Analyze data and make recommendations on how to improve metric quality and interpretability. Collaborate with other engineers, data scientists, statisticians and the leadership team to deliver evaluation products and help make data driven decisions. You have: BS in Computer Science, Robotics, Statistics, Physics, Math or another quantitative area Strong self-motivation to navigate complex systems and pursue open-ended problems to completion 1+ years of industry experience with Navigating and modifying a large code base containing a variety of languages, such as C++, Python and SQL Performing statistical analyses Building data processing pipelines Writing, reviewing, and merging code following industry standards for code health and maintainability Quant/data fluency is a top requirement We prefer: Experience coding in C++ Experience with ML Experience with A/B experiment infrastructure Experience building and validating metrics to measure quality in complex systems Exposure to ad-hoc data analysis tools for rapid modeling and prototyping Experience working in the AV industry 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 $170,000-$216,000 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 Planner Evaluation team works on one of the key challenges in autonomous driving: measuring and improving the quality of the software that drives the car. We are looking for experienced data-minded software engineers and data scientists to help us improve how we characterize and evaluate changes to the Onboard software stack (Planner, Perception, etc). If you are passionate about autonomous vehicles and how to use rich, complex data to drive decision making, this is the role for you! This role follows a hybrid work schedule and reports to aSr. Staff Engineering Manager. You will: Develop signals to measure the performance and driving qualities of the Waymo driver, using a range of techniques including statistics, math, physics, algorithms and machine learning. Use simulation creatively and mine real world driving logs to measure driving performance. Design and implement methods to make a stronger connection between onboard software changes and simulated outcomes. Champion code health and best practices in a large and complex code base. Analyze data and make recommendations on how to improve metric quality and interpretability. Collaborate with other engineers, data scientists, statisticians and the leadership team to deliver evaluation products and help make data driven decisions. You have: BS in Computer Science, Robotics, Statistics, Physics, Math or another quantitative area Strong self-motivation to navigate complex systems and pursue open-ended problems to completion 1+ years of industry experience with Navigating and modifying a large code base containing a variety of languages, such as C++, Python and SQL Performing statistical analyses Building data processing pipelines Writing, reviewing, and merging code following industry standards for code health and maintainability Quant/data fluency is a top requirement We prefer: Experience coding in C++ Experience with ML Experience with A/B experiment infrastructure Experience building and validating metrics to measure quality in complex systems Exposure to ad-hoc data analysis tools for rapid modeling and prototyping Experience working in the AV industry 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 $170,000-$216,000 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 Planner Evaluation team works on one of the key challenges in autonomous driving: measuring and improving the quality of the software that drives the car. We are looking for experienced data-minded software engineers and data scientists to help us improve how we characterize and evaluate changes to the Onboard software stack (Planner, Perception, etc). If you are passionate about autonomous vehicles and how to use rich, complex data to drive decision making, this is the role for you! This role follows a hybrid work schedule and reports to aSr. Staff Engineering Manager. You will: Develop signals to measure the performance and driving qualities of the Waymo driver, using a range of techniques including statistics, math, physics, algorithms and machine learning. Use simulation creatively and mine real world driving logs to measure driving performance. Design and implement methods to make a stronger connection between onboard software changes and simulated outcomes. Champion code health and best practices in a large and complex code base. Analyze data and make recommendations on how to improve metric quality and interpretability. Collaborate with other engineers, data scientists, statisticians and the leadership team to deliver evaluation products and help make data driven decisions. You have: BS in Computer Science, Robotics, Statistics, Physics, Math or another quantitative area Strong self-motivation to navigate complex systems and pursue open-ended problems to completion 1+ years of industry experience with Navigating and modifying a large code base containing a variety of languages, such as C++, Python and SQL Performing statistical analyses Building data processing pipelines Writing, reviewing, and merging code following industry standards for code health and maintainability Quant/data fluency is a top requirement We prefer: Experience coding in C++ Experience with ML Experience with A/B experiment infrastructure Experience building and validating metrics to measure quality in complex systems Exposure to ad-hoc data analysis tools for rapid modeling and prototyping Experience working in the AV industry 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 $170,000-$216,000 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 Planner Evaluation team works on one of the key challenges in autonomous driving: measuring and improving the quality of the software that drives the car. We are looking for experienced data-minded software engineers and data scientists to help us improve how we characterize and evaluate changes to the Onboard software stack (Planner, Perception, etc). If you are passionate about autonomous vehicles and how to use rich, complex data to drive decision making, this is the role for you! This role follows a hybrid work schedule and reports to aSr. Staff Engineering Manager. You will: Develop signals to measure the performance and driving qualities of the Waymo driver, using a range of techniques including statistics, math, physics, algorithms and machine learning. Use simulation creatively and mine real world driving logs to measure driving performance. Design and implement methods to make a stronger connection between onboard software changes and simulated outcomes. Champion code health and best practices in a large and complex code base. Analyze data and make recommendations on how to improve metric quality and interpretability. Collaborate with other engineers, data scientists, statisticians and the leadership team to deliver evaluation products and help make data driven decisions. You have: BS in Computer Science, Robotics, Statistics, Physics, Math or another quantitative area Strong self-motivation to navigate complex systems and pursue open-ended problems to completion 1+ years of industry experience with Navigating and modifying a large code base containing a variety of languages, such as C++, Python and SQL Performing statistical analyses Building data processing pipelines Writing, reviewing, and merging code following industry standards for code health and maintainability Quant/data fluency is a top requirement We prefer: Experience coding in C++ Experience with ML Experience with A/B experiment infrastructure Experience building and validating metrics to measure quality in complex systems Exposure to ad-hoc data analysis tools for rapid modeling and prototyping Experience working in the AV industry 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 $170,000-$216,000 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. Waymo is solving one of the most complex challenges in autonomous driving: understanding the dynamic, unspoken rules of the road. The Scene Understanding team is at the forefront of this mission, tasked with generating real-time, scene-level semantic representations of the world - moving beyond individual bounding boxes to understand construction zones, temporary traffic controls, and complex road graphs. As a TLM for Scene Understanding, you will act as a true "player-coach" for a team of roughly 6-10 engineers. This is a high impact role, where your models will directly dictate how the Waymo Driver reacts to complex, unstructured environments like active construction zones and temporary traffic signs. This work is critical to Waymo's ability to scale into new cities, across the US and internationally. In this hybrid role you will report to a Sr Staff Technical Lead Manager. You will: Own a specific domain within scene understanding, such as traffic controls or construction zones, and work with product and safety partners on short- and long-term improvements in support of Waymo's scaling goals Lead the analysis of real-world scene understanding issues to develop technical roadmaps and drive the roadmap execution, Build resilient and high performing teams through people development and hiring, Make project staffing decisions, technical decisions, drive escalations; ultimately accountable for delivering projects. You have: Bachelors in Computer Science or a similar discipline, or an equivalent amount of deep learning experience 7+ years of experience building and deploying deep learning/computer vision models in production environments, ideally within the AV or robotics space 2-3+ years of experience directly managing and scaling engineering/research teams (managing 5+ reports) Fluency in Python, C++, and deep learning frameworks (PyTorch, JAX) We prefer: MS or PhD Degree in Machine Learning, Robotics, Computer Science or a similar discipline Publications at top-tier conferences like CVPR, ICCV, ECCV, NeurIPS,. Experience with C++ Experience with real-time system design 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 $251,000-$310,000 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. Waymo is solving one of the most complex challenges in autonomous driving: understanding the dynamic, unspoken rules of the road. The Scene Understanding team is at the forefront of this mission, tasked with generating real-time, scene-level semantic representations of the world - moving beyond individual bounding boxes to understand construction zones, temporary traffic controls, and complex road graphs. As a TLM for Scene Understanding, you will act as a true "player-coach" for a team of roughly 6-10 engineers. This is a high impact role, where your models will directly dictate how the Waymo Driver reacts to complex, unstructured environments like active construction zones and temporary traffic signs. This work is critical to Waymo's ability to scale into new cities, across the US and internationally. In this hybrid role you will report to a Sr Staff Technical Lead Manager. You will: Own a specific domain within scene understanding, such as traffic controls or construction zones, and work with product and safety partners on short- and long-term improvements in support of Waymo's scaling goals Lead the analysis of real-world scene understanding issues to develop technical roadmaps and drive the roadmap execution, Build resilient and high performing teams through people development and hiring, Make project staffing decisions, technical decisions, drive escalations; ultimately accountable for delivering projects. You have: Bachelors in Computer Science or a similar discipline, or an equivalent amount of deep learning experience 7+ years of experience building and deploying deep learning/computer vision models in production environments, ideally within the AV or robotics space 2-3+ years of experience directly managing and scaling engineering/research teams (managing 5+ reports) Fluency in Python, C++, and deep learning frameworks (PyTorch, JAX) We prefer: MS or PhD Degree in Machine Learning, Robotics, Computer Science or a similar discipline Publications at top-tier conferences like CVPR, ICCV, ECCV, NeurIPS,. Experience with C++ Experience with real-time system design 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 $251,000-$310,000 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. Waymo is solving one of the most complex challenges in autonomous driving: understanding the dynamic, unspoken rules of the road. The Scene Understanding team is at the forefront of this mission, tasked with generating real-time, scene-level semantic representations of the world - moving beyond individual bounding boxes to understand construction zones, temporary traffic controls, and complex road graphs. As a TLM for Scene Understanding, you will act as a true "player-coach" for a team of roughly 6-10 engineers. This is a high impact role, where your models will directly dictate how the Waymo Driver reacts to complex, unstructured environments like active construction zones and temporary traffic signs. This work is critical to Waymo's ability to scale into new cities, across the US and internationally. In this hybrid role you will report to a Sr Staff Technical Lead Manager. You will: Own a specific domain within scene understanding, such as traffic controls or construction zones, and work with product and safety partners on short- and long-term improvements in support of Waymo's scaling goals Lead the analysis of real-world scene understanding issues to develop technical roadmaps and drive the roadmap execution, Build resilient and high performing teams through people development and hiring, Make project staffing decisions, technical decisions, drive escalations; ultimately accountable for delivering projects. You have: Bachelors in Computer Science or a similar discipline, or an equivalent amount of deep learning experience 7+ years of experience building and deploying deep learning/computer vision models in production environments, ideally within the AV or robotics space 2-3+ years of experience directly managing and scaling engineering/research teams (managing 5+ reports) Fluency in Python, C++, and deep learning frameworks (PyTorch, JAX) We prefer: MS or PhD Degree in Machine Learning, Robotics, Computer Science or a similar discipline Publications at top-tier conferences like CVPR, ICCV, ECCV, NeurIPS,. Experience with C++ Experience with real-time system design 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 $251,000-$310,000 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. Waymo is solving one of the most complex challenges in autonomous driving: understanding the dynamic, unspoken rules of the road. The Scene Understanding team is at the forefront of this mission, tasked with generating real-time, scene-level semantic representations of the world - moving beyond individual bounding boxes to understand construction zones, temporary traffic controls, and complex road graphs. As a TLM for Scene Understanding, you will act as a true "player-coach" for a team of roughly 6-10 engineers. This is a high impact role, where your models will directly dictate how the Waymo Driver reacts to complex, unstructured environments like active construction zones and temporary traffic signs. This work is critical to Waymo's ability to scale into new cities, across the US and internationally. In this hybrid role you will report to a Sr Staff Technical Lead Manager. You will: Own a specific domain within scene understanding, such as traffic controls or construction zones, and work with product and safety partners on short- and long-term improvements in support of Waymo's scaling goals Lead the analysis of real-world scene understanding issues to develop technical roadmaps and drive the roadmap execution, Build resilient and high performing teams through people development and hiring, Make project staffing decisions, technical decisions, drive escalations; ultimately accountable for delivering projects. You have: Bachelors in Computer Science or a similar discipline, or an equivalent amount of deep learning experience 7+ years of experience building and deploying deep learning/computer vision models in production environments, ideally within the AV or robotics space 2-3+ years of experience directly managing and scaling engineering/research teams (managing 5+ reports) Fluency in Python, C++, and deep learning frameworks (PyTorch, JAX) We prefer: MS or PhD Degree in Machine Learning, Robotics, Computer Science or a similar discipline Publications at top-tier conferences like CVPR, ICCV, ECCV, NeurIPS,. Experience with C++ Experience with real-time system design 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 $251,000-$310,000 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 Planner Evaluation team works on one of the key challenges in autonomous driving: measuring and improving the quality of the software that drives the car. We are looking for experienced data-minded software engineers and data scientists to help us improve how we characterize and evaluate changes to the Onboard software stack (Planner, Perception, etc). If you are passionate about autonomous vehicles and how to use rich, complex data to drive decision making, this is the role for you! This role follows a hybrid work schedule and reports to anSr. Engineering Manager. You will: Develop signals to measure the performance and driving qualities of the Waymo driver, using a range of techniques including statistics, math, physics, algorithms and machine learning. Use simulation creatively and mine real world driving logs to measure driving performance. Design and implement methods to make a stronger connection between onboard software changes and simulated outcomes. Champion code health and best practices in a large and complex code base. Analyze data and make recommendations on how to improve metric quality and interpretability. Collaborate with other engineers, data scientists, statisticians and the leadership team to deliver evaluation products and help make data driven decisions. You have: BS in Computer Science, Robotics, Statistics, Physics, Math or another quantitative area Strong self-motivation to navigate complex systems and pursue open-ended problems to completion 4-7 years of industry experience with Navigating and modifying a large code base containing a variety of languages, such as C++, Python and SQL Performing statistical analyses Building data processing pipelines Writing, reviewing, and merging code following industry standards for code health and maintainability Quant/data fluency is a top requirement We prefer: Experience coding in C++ Experience with ML Experience with A/B experiment infrastructure Experience building and validating metrics to measure quality in complex systems Exposure to ad-hoc data analysis tools for rapid modeling and prototyping Experience working in the AV industry 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 $251,000-$310,000 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 Planner Evaluation team works on one of the key challenges in autonomous driving: measuring and improving the quality of the software that drives the car. We are looking for experienced data-minded software engineers and data scientists to help us improve how we characterize and evaluate changes to the Onboard software stack (Planner, Perception, etc). If you are passionate about autonomous vehicles and how to use rich, complex data to drive decision making, this is the role for you! This role follows a hybrid work schedule and reports to anSr. Engineering Manager. You will: Develop signals to measure the performance and driving qualities of the Waymo driver, using a range of techniques including statistics, math, physics, algorithms and machine learning. Use simulation creatively and mine real world driving logs to measure driving performance. Design and implement methods to make a stronger connection between onboard software changes and simulated outcomes. Champion code health and best practices in a large and complex code base. Analyze data and make recommendations on how to improve metric quality and interpretability. Collaborate with other engineers, data scientists, statisticians and the leadership team to deliver evaluation products and help make data driven decisions. You have: BS in Computer Science, Robotics, Statistics, Physics, Math or another quantitative area Strong self-motivation to navigate complex systems and pursue open-ended problems to completion 4-7 years of industry experience with Navigating and modifying a large code base containing a variety of languages, such as C++, Python and SQL Performing statistical analyses Building data processing pipelines Writing, reviewing, and merging code following industry standards for code health and maintainability Quant/data fluency is a top requirement We prefer: Experience coding in C++ Experience with ML Experience with A/B experiment infrastructure Experience building and validating metrics to measure quality in complex systems Exposure to ad-hoc data analysis tools for rapid modeling and prototyping Experience working in the AV industry 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 $251,000-$310,000 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 Planner Evaluation team works on one of the key challenges in autonomous driving: measuring and improving the quality of the software that drives the car. We are looking for experienced data-minded software engineers and data scientists to help us improve how we characterize and evaluate changes to the Onboard software stack (Planner, Perception, etc). If you are passionate about autonomous vehicles and how to use rich, complex data to drive decision making, this is the role for you! This role follows a hybrid work schedule and reports to anSr. Engineering Manager. You will: Develop signals to measure the performance and driving qualities of the Waymo driver, using a range of techniques including statistics, math, physics, algorithms and machine learning. Use simulation creatively and mine real world driving logs to measure driving performance. Design and implement methods to make a stronger connection between onboard software changes and simulated outcomes. Champion code health and best practices in a large and complex code base. Analyze data and make recommendations on how to improve metric quality and interpretability. Collaborate with other engineers, data scientists, statisticians and the leadership team to deliver evaluation products and help make data driven decisions. You have: BS in Computer Science, Robotics, Statistics, Physics, Math or another quantitative area Strong self-motivation to navigate complex systems and pursue open-ended problems to completion 4-7 years of industry experience with Navigating and modifying a large code base containing a variety of languages, such as C++, Python and SQL Performing statistical analyses Building data processing pipelines Writing, reviewing, and merging code following industry standards for code health and maintainability Quant/data fluency is a top requirement We prefer: Experience coding in C++ Experience with ML Experience with A/B experiment infrastructure Experience building and validating metrics to measure quality in complex systems Exposure to ad-hoc data analysis tools for rapid modeling and prototyping Experience working in the AV industry 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 $251,000-$310,000 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 Planner Evaluation team works on one of the key challenges in autonomous driving: measuring and improving the quality of the software that drives the car. We are looking for experienced data-minded software engineers and data scientists to help us improve how we characterize and evaluate changes to the Onboard software stack (Planner, Perception, etc). If you are passionate about autonomous vehicles and how to use rich, complex data to drive decision making, this is the role for you! This role follows a hybrid work schedule and reports to anSr. Engineering Manager. You will: Develop signals to measure the performance and driving qualities of the Waymo driver, using a range of techniques including statistics, math, physics, algorithms and machine learning. Use simulation creatively and mine real world driving logs to measure driving performance. Design and implement methods to make a stronger connection between onboard software changes and simulated outcomes. Champion code health and best practices in a large and complex code base. Analyze data and make recommendations on how to improve metric quality and interpretability. Collaborate with other engineers, data scientists, statisticians and the leadership team to deliver evaluation products and help make data driven decisions. You have: BS in Computer Science, Robotics, Statistics, Physics, Math or another quantitative area Strong self-motivation to navigate complex systems and pursue open-ended problems to completion 4-7 years of industry experience with Navigating and modifying a large code base containing a variety of languages, such as C++, Python and SQL Performing statistical analyses Building data processing pipelines Writing, reviewing, and merging code following industry standards for code health and maintainability Quant/data fluency is a top requirement We prefer: Experience coding in C++ Experience with ML Experience with A/B experiment infrastructure Experience building and validating metrics to measure quality in complex systems Exposure to ad-hoc data analysis tools for rapid modeling and prototyping Experience working in the AV industry 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 $251,000-$310,000 USD
