Devops Engineer jobs at SailPoint - 15636 jobs

Location: San Francisco/Bay Area; must work PST hours. The team spends a few days in office each month. About the Role: We are seeking a seasoned Sr. DevOps Engineer to join Sogeti and help deliver cutting-edge cloud and automation solutions. This role focuses on designing and implementing secure, scalable DevOps practices across AWS environments, enabling continuous integration and deployment for enterprise-grade applications. What You Will Do at Sogeti Develop and implement DevOps strategies for deployment, scaling, and automation across AWS environments. Build and optimize CI/CD pipelines with integrated automated testing using AWS CodeBuild and CodePipeline. Manage containerized workloads leveraging Docker, Kubernetes, and Amazon ECS. Configure and maintain AWS infrastructure, including RDS instances, multi-environment setups, and compliance monitoring. Collaborate with development and QA teams during release cycles and troubleshoot production issues. Apply best practices for cloud security and data protection across application, network, and infrastructure layers. Oversee Cloudflare updates and database operations to ensure performance and security. What You Will Bring Proven experience implementing AWS cloud infrastructure and delivering end-to-end solutions. Proficiency in scripting languages such as JavaScript, Bash, or Python. Expertise in Infrastructure as Code using CloudFormation or Terraform. Hands-on experience with container technologies (Docker, Kubernetes, ECS). Strong knowledge of CI/CD methodologies, DevSecOps practices, and Git workflows. Ability to secure systems across all layers and familiarity with security protocols (HTTPS, TLS, PKI, OAuth). Experience managing AWS RDS instances, including secure configurations, monitoring, and backup strategies. Preferred Skills Experience with Cloudflare and Bitbucket. Familiarity with building and deploying Node.js applications. Knowledge of monitoring tools such as CloudWatch, Splunk, Datadog, and X-Ray. Understanding of GDPR and CCPA compliance requirements. Exposure to scaling applications across multiple geographies. High-level AI usage in day-to-day activities. Education: Bachelor's or Master's degree in Computer Science, Software Engineering, Information Systems, Business Administration, or a related field. Life at Sogeti: Sogeti supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer: Flexible work options 401(k) with 150% match up to 6% Employee Share Ownership Plan Medical, Prescription, Dental & Vision Insurance Life Insurance 100% Company-Paid Mobile Phone Plan 3 Weeks PTO + 7 Paid Holidays Paid Parental Leave Adoption, Surrogacy & Cryopreservation Assistance Subsidized Back-up Child/Elder Care & Tutoring Career Planning & Coaching $5,250 Tuition Reimbursement & 20,000+ Online Courses Employee Resource Groups Counseling & Support for Physical, Financial, Emotional & Spiritual Well-being Disaster Relief Programs About Sogeti Part of the Capgemini Group, Sogeti makes business value through technology for organizations that need to implement innovation at speed and want a local partner with global scale. With a hands-on culture and close proximity to its clients, Sogeti implements solutions that will help organizations work faster, better, and smarter. By combining its agility and speed of implementation through a DevOps approach, Sogeti delivers innovative solutions in quality engineering, cloud and application development, all driven by AI, data and automation. Become Your Best | ************* Disclaimer Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. 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 accommodations do 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 ************************************************************************** Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini. Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is $135,000 - $185,000. This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law.

Location: San Francisco/Bay Area; must work PST hours. The team spends a few days in office each month. About the Role: We are seeking a seasoned Sr. DevOps Engineer to join Sogeti and help deliver cutting-edge cloud and automation solutions. This role focuses on designing and implementing secure, scalable DevOps practices across AWS environments, enabling continuous integration and deployment for enterprise-grade applications. What You Will Do at Sogeti Develop and implement DevOps strategies for deployment, scaling, and automation across AWS environments. Build and optimize CI/CD pipelines with integrated automated testing using AWS CodeBuild and CodePipeline. Manage containerized workloads leveraging Docker, Kubernetes, and Amazon ECS. Configure and maintain AWS infrastructure, including RDS instances, multi-environment setups, and compliance monitoring. Collaborate with development and QA teams during release cycles and troubleshoot production issues. Apply best practices for cloud security and data protection across application, network, and infrastructure layers. Oversee Cloudflare updates and database operations to ensure performance and security. What You Will Bring Proven experience implementing AWS cloud infrastructure and delivering end-to-end solutions. Proficiency in scripting languages such as JavaScript, Bash, or Python. Expertise in Infrastructure as Code using CloudFormation or Terraform. Hands-on experience with container technologies (Docker, Kubernetes, ECS). Strong knowledge of CI/CD methodologies, DevSecOps practices, and Git workflows. Ability to secure systems across all layers and familiarity with security protocols (HTTPS, TLS, PKI, OAuth). Experience managing AWS RDS instances, including secure configurations, monitoring, and backup strategies. Preferred Skills Experience with Cloudflare and Bitbucket. Familiarity with building and deploying Node.js applications. Knowledge of monitoring tools such as CloudWatch, Splunk, Datadog, and X-Ray. Understanding of GDPR and CCPA compliance requirements. Exposure to scaling applications across multiple geographies. High-level AI usage in day-to-day activities. Education: Bachelor's or Master's degree in Computer Science, Software Engineering, Information Systems, Business Administration, or a related field. Life at Sogeti: Sogeti supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer: Flexible work options 401(k) with 150% match up to 6% Employee Share Ownership Plan Medical, Prescription, Dental & Vision Insurance Life Insurance 100% Company-Paid Mobile Phone Plan 3 Weeks PTO + 7 Paid Holidays Paid Parental Leave Adoption, Surrogacy & Cryopreservation Assistance Subsidized Back-up Child/Elder Care & Tutoring Career Planning & Coaching $5,250 Tuition Reimbursement & 20,000+ Online Courses Employee Resource Groups Counseling & Support for Physical, Financial, Emotional & Spiritual Well-being Disaster Relief Programs About Sogeti Part of the Capgemini Group, Sogeti makes business value through technology for organizations that need to implement innovation at speed and want a local partner with global scale. With a hands-on culture and close proximity to its clients, Sogeti implements solutions that will help organizations work faster, better, and smarter. By combining its agility and speed of implementation through a DevOps approach, Sogeti delivers innovative solutions in quality engineering, cloud and application development, all driven by AI, data and automation. Become Your Best | ************* Disclaimer Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. 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 accommodations do 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 ************************************************************************** Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini. Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is $135,000 - $185,000. This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law.

Location: San Francisco/Bay Area; must work PST hours. The team spends a few days in office each month. About the Role: We are seeking a seasoned Sr. DevOps Engineer to join Sogeti and help deliver cutting-edge cloud and automation solutions. This role focuses on designing and implementing secure, scalable DevOps practices across AWS environments, enabling continuous integration and deployment for enterprise-grade applications. What You Will Do at Sogeti Develop and implement DevOps strategies for deployment, scaling, and automation across AWS environments. Build and optimize CI/CD pipelines with integrated automated testing using AWS CodeBuild and CodePipeline. Manage containerized workloads leveraging Docker, Kubernetes, and Amazon ECS. Configure and maintain AWS infrastructure, including RDS instances, multi-environment setups, and compliance monitoring. Collaborate with development and QA teams during release cycles and troubleshoot production issues. Apply best practices for cloud security and data protection across application, network, and infrastructure layers. Oversee Cloudflare updates and database operations to ensure performance and security. What You Will Bring Proven experience implementing AWS cloud infrastructure and delivering end-to-end solutions. Proficiency in scripting languages such as JavaScript, Bash, or Python. Expertise in Infrastructure as Code using CloudFormation or Terraform. Hands-on experience with container technologies (Docker, Kubernetes, ECS). Strong knowledge of CI/CD methodologies, DevSecOps practices, and Git workflows. Ability to secure systems across all layers and familiarity with security protocols (HTTPS, TLS, PKI, OAuth). Experience managing AWS RDS instances, including secure configurations, monitoring, and backup strategies. Preferred Skills Experience with Cloudflare and Bitbucket. Familiarity with building and deploying Node.js applications. Knowledge of monitoring tools such as CloudWatch, Splunk, Datadog, and X-Ray. Understanding of GDPR and CCPA compliance requirements. Exposure to scaling applications across multiple geographies. High-level AI usage in day-to-day activities. Education: Bachelor's or Master's degree in Computer Science, Software Engineering, Information Systems, Business Administration, or a related field. Life at Sogeti: Sogeti supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer: Flexible work options 401(k) with 150% match up to 6% Employee Share Ownership Plan Medical, Prescription, Dental & Vision Insurance Life Insurance 100% Company-Paid Mobile Phone Plan 3 Weeks PTO + 7 Paid Holidays Paid Parental Leave Adoption, Surrogacy & Cryopreservation Assistance Subsidized Back-up Child/Elder Care & Tutoring Career Planning & Coaching $5,250 Tuition Reimbursement & 20,000+ Online Courses Employee Resource Groups Counseling & Support for Physical, Financial, Emotional & Spiritual Well-being Disaster Relief Programs About Sogeti Part of the Capgemini Group, Sogeti makes business value through technology for organizations that need to implement innovation at speed and want a local partner with global scale. With a hands-on culture and close proximity to its clients, Sogeti implements solutions that will help organizations work faster, better, and smarter. By combining its agility and speed of implementation through a DevOps approach, Sogeti delivers innovative solutions in quality engineering, cloud and application development, all driven by AI, data and automation. Become Your Best | ************* Disclaimer Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. 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 accommodations do 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 ************************************************************************** Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini. Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is $135,000 - $185,000. This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law.

Location: San Francisco/Bay Area; must work PST hours. The team spends a few days in office each month. About the Role: We are seeking a seasoned Sr. DevOps Engineer to join Sogeti and help deliver cutting-edge cloud and automation solutions. This role focuses on designing and implementing secure, scalable DevOps practices across AWS environments, enabling continuous integration and deployment for enterprise-grade applications. What You Will Do at Sogeti Develop and implement DevOps strategies for deployment, scaling, and automation across AWS environments. Build and optimize CI/CD pipelines with integrated automated testing using AWS CodeBuild and CodePipeline. Manage containerized workloads leveraging Docker, Kubernetes, and Amazon ECS. Configure and maintain AWS infrastructure, including RDS instances, multi-environment setups, and compliance monitoring. Collaborate with development and QA teams during release cycles and troubleshoot production issues. Apply best practices for cloud security and data protection across application, network, and infrastructure layers. Oversee Cloudflare updates and database operations to ensure performance and security. What You Will Bring Proven experience implementing AWS cloud infrastructure and delivering end-to-end solutions. Proficiency in scripting languages such as JavaScript, Bash, or Python. Expertise in Infrastructure as Code using CloudFormation or Terraform. Hands-on experience with container technologies (Docker, Kubernetes, ECS). Strong knowledge of CI/CD methodologies, DevSecOps practices, and Git workflows. Ability to secure systems across all layers and familiarity with security protocols (HTTPS, TLS, PKI, OAuth). Experience managing AWS RDS instances, including secure configurations, monitoring, and backup strategies. Preferred Skills Experience with Cloudflare and Bitbucket. Familiarity with building and deploying Node.js applications. Knowledge of monitoring tools such as CloudWatch, Splunk, Datadog, and X-Ray. Understanding of GDPR and CCPA compliance requirements. Exposure to scaling applications across multiple geographies. High-level AI usage in day-to-day activities. Education: Bachelor's or Master's degree in Computer Science, Software Engineering, Information Systems, Business Administration, or a related field. Life at Sogeti: Sogeti supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer: Flexible work options 401(k) with 150% match up to 6% Employee Share Ownership Plan Medical, Prescription, Dental & Vision Insurance Life Insurance 100% Company-Paid Mobile Phone Plan 3 Weeks PTO + 7 Paid Holidays Paid Parental Leave Adoption, Surrogacy & Cryopreservation Assistance Subsidized Back-up Child/Elder Care & Tutoring Career Planning & Coaching $5,250 Tuition Reimbursement & 20,000+ Online Courses Employee Resource Groups Counseling & Support for Physical, Financial, Emotional & Spiritual Well-being Disaster Relief Programs About Sogeti Part of the Capgemini Group, Sogeti makes business value through technology for organizations that need to implement innovation at speed and want a local partner with global scale. With a hands-on culture and close proximity to its clients, Sogeti implements solutions that will help organizations work faster, better, and smarter. By combining its agility and speed of implementation through a DevOps approach, Sogeti delivers innovative solutions in quality engineering, cloud and application development, all driven by AI, data and automation. Become Your Best | ************* Disclaimer Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. 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 accommodations do 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 ************************************************************************** Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini. Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is $135,000 - $185,000. This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law.

Asana's rapid growth brings new challenges in keeping our systems fast, reliable, and resilient. As our product evolves, we're making a major investment in reliability - and building a brand new SRE team in Warsaw is a key part of that strategy. This is your chance to help shape it from day one. This isn't a traditional “ops” role - we're looking for strong software engineers who are passionate about building reliable, distributed systems. You'll work closely with a small SRE team in San Francisco, infrastructure engineers in Reykjavik, and an established infrastructure team in Warsaw. Warsaw will be a significant hub for our future infrastructure engineering and operations. As one of the first engineers here, you'll have a real say in how we build reliable infrastructure, manage incidents, and support the rest of the company. This role is based in our Warsaw office with an office‑centric hybrid schedule - in‑office days are Monday, Tuesday, and Thursday. We offer a Contract of Employment (UoP) for our employees in Poland. What you'll do: Influence the future of Asana's SRE practice, especially as we grow the Warsaw team. Lead reliability‑focused projects across our stack - from infrastructure to tooling to incident response. Define and implement Asana's incident management process - we're investing here, and you'll help shape how it works. Build internal platforms and frameworks that help other teams improve the reliability of their services. Be part of (and help shape) a sustainable on‑call rotation - shared across teams in Warsaw, San Francisco, and Reykjavik. On average, we handle ~1 page per day, but it's not constant, and we care about keeping things sane. Work with our stack: AWS, Kubernetes (EKS), Datadog, MySQL (RDS), ElasticSearch (OpenSearch), Redis, DynamoDB, Terraform, TypeScript, Scala, Go, and Python. (Yeah, we know this sounds like buzzword bingo - but we want this post to actually show up in your searches.) About you: You're a strong and experienced software engineer who's comfortable writing and reading code - this isn't an ops role. You care about reliability, scalability, and long‑term maintainability, not just quick fixes. You might have worked as an SRE before - or maybe you were a product engineer who kept getting pulled into infra work because you cared about how systems actually run. You've seen systems at scale (or want to), and you're excited about solving infrastructure problems that have broad impact. You're curious, take initiative, and aren't afraid to work in ambiguous spaces - especially important on a brand new team. You collaborate well across teams and want to help others build more reliable systems. You don't need to know our exact stack, but you're eager to learn whatever it takes to make things better. You demonstrate curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision‑making. Why this role? Founding team: You'll be one of the first SREs in Warsaw - and a key player in a growing team. Drive real change: This isn't a role where you'll just patch up legacy systems. We are expecting (and supporting) real architectural changes to improve reliability, scalability, and long‑term operability. Big impact: Our product is scaling fast, and reliability is a top company priority. Room to grow: As this team grows, so will your influence - whether you want to lead projects, mentor others, or help shape how we scale. Global collaboration: Work closely with experienced engineers in San Francisco, Reykjavik, and Warsaw, while helping build the future of SRE at Asana. What we offer: Generous, transparent and fair compensation system (base salary and generous Restricted Stock Unit for Asana Inc.). Contract of Employment (with 50% tax deductible costs for author's rights usage for Engineers). Health insurance with dental and travel coverage (Lux Med). Lunch catering on the days that you work from the office. Career growth budget. Home office setup budget. Gym/Fitness reimbursement. Fertility healthcare and family‑forming support with Carrot. Mental health support in Modern Health. Group life insurance. MacBooks with all necessary accessories. For this role, the estimated base salary range is between 23 000 and 33 000 PLN gross monthly on the contract of employment (UoP). The actual base salary will vary based on various factors and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base compensation range for this role may be modified. Our total compensation consists of base salary and equity (RSUs). About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office‑centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. Join Asana's Talent Network to stay up to date on job opportunities and life at Asana. #J-18808-Ljbffr

**Weekly Hours:** 40 **Role Number:** 200*********** Join the team that is revolutionizing the watch! As a software engineer on the Apple Watch Workout team you will be responsible for building extraordinary fitness features. You'll work closely with the Design and QA teams to develop software of superior quality that will empower millions of users to help live their best lives. As a driving force behind the Fitness experience at Apple, your contributions empower our users to take charge of their health and fitness journeys. Above all, we value passion and collaboration when building impactful products that help change people's lives. **Description** The Workout team is responsible for bringing comprehensive Workout and Fitness experiences to life on watch OS and iOS. As an engineer on our team, your primary responsibility will be to help develop the Workout and Fitness apps. You'll also contribute to different levels of the engineering stack throughout the development process, including as we continue to expand intelligence features like Workout Buddy in the Fitness space. **Minimum Qualifications** + BS CE/CS or equivalent experience required + Excellent Swift coding ability + Deep commitment to product quality + Excellent communication and collaborative skills + Enthusiastic about working on a cross functional team **Preferred Qualifications** + An interest in building consumer applications in the Fitness space + Experience optimizing applications and profiling throughout the stack + Experience improving and expanding on existing complex projects and systems Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant (*********************************************************************************************** .

**Weekly Hours:** 40 **Role Number:** 200*********** Are you a big-picture thinker who loves setting ambitious goals? Do you have a passion for understanding how each line of code affects all the others? In the Core Operating Systems group, you'll ensure the OS is inseparable from each device's identity as a whole. That's because this group is committed to building fully integrated operating systems that combine hardware, software, and apps into a single Apple experience. Your dedication to cross-disciplinary collaboration will help develop groundbreaking technologies, such as iOS, mac OS, watch OS, and tv OS. By crafting these distinct, holistic user experiences, you'll continue to uphold and advance the excellence people expect from Apple devices! **Description** The Core Display I/O team in Core OS is responsible for device drivers and firmware displays across all Apple devices. We are looking for talented individuals who enjoy writing device drivers and low-level FW. **Minimum Qualifications** + Expertise in C and C++. + Experience in writing and debugging complex drivers and related frameworks. + Hands-on experience developing firmware for processors running RTOS. + Hands-on experience writing firmware for SoCs. + Demonstrated creative, critical thinking and troubleshooting skills. + Highly professional, with the ability to deliver solid work on tight schedules. + Strong written and verbal communication skills. + Excellent collaborative skills. + Experience with board bring up, logic analyzers and oscilloscopes. + BS in Computer Science/Computer Engineering or equivalent experience/skills. **Preferred Qualifications** + Experience with video technologies such as HDMI, DisplayPort, HDCP etc. Remote control technologies such as Infrared(IR) and Consumer Electronics Control (CEC) Development experience in IOKit/mac OS Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant (*********************************************************************************************** .

Imagine what you could do here. At Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish! Fitness and Workout are at the core of the Apple Watch experience. Everybody cares about battery life, but some users are pushing it to the limits with ultra marathons and more. As a power and battery life focused engineer on the Workout team, you will work across the stack; partnering closely with the rest of the Workout and Fitness engineering teams, working closely with our partner sensing teams across GNSS, heart rate, motion, and more, and working with various systems and power teams to make sure users are getting the absolute most out of their workouts without compromising the experience.The Workout team is responsible for bringing comprehensive workout experiences to life on watch OS and iOS. As an engineer on our team, your primary responsibility will be to help develop the Workout and Fitness apps and make them as efficient as possible. You'll also contribute to different levels of the engineering stack throughout the development process to hit our performance goals, including help influence future hardware directions.An interest in building consumer applications in the Fitness space Experience optimizing applications and profiling throughout the stack Experience improving and expanding on existing complex projects and systems Array

Are you a big-picture thinker who loves setting ambitious goals? Do you have a passion for understanding how each line of code affects all the others? In the Core Operating Systems group, you'll ensure the OS is inseparable from each device's identity as a whole. That's because this group is committed to building fully integrated operating systems that combine hardware, software, and apps into a single Apple experience. Your dedication to cross-disciplinary collaboration will help develop groundbreaking technologies, such as iOS, mac OS, watch OS, and tv OS. By crafting these distinct, holistic user experiences, you'll continue to uphold and advance the excellence people expect from Apple devices! The Core Display I/O team in Core OS is responsible for device drivers and firmware displays across all Apple devices. We are looking for talented individuals who enjoy writing device drivers and low-level FW. Experience with video technologies such as HDMI, DisplayPort, HDCP etc. Remote control technologies such as Infrared(IR) and Consumer Electronics Control (CEC) Development experience in IOKit/mac OS Expertise in C and C++. Experience in writing and debugging complex drivers and related frameworks. Hands-on experience developing firmware for processors running RTOS. Hands-on experience writing firmware for SoCs. Demonstrated creative, critical thinking and troubleshooting skills. Highly professional, with the ability to deliver solid work on tight schedules. Strong written and verbal communication skills. Excellent collaborative skills. Experience with board bring up, logic analyzers and oscilloscopes. BS in Computer Science/Computer Engineering or equivalent experience/skills.

Join the team that is revolutionizing the watch! As a software engineer on the Apple Watch Workout team you will be responsible for building extraordinary fitness features. You'll work closely with the Design and QA teams to develop software of superior quality that will empower millions of users to help live their best lives. As a driving force behind the Fitness experience at Apple, your contributions empower our users to take charge of their health and fitness journeys. Above all, we value passion and collaboration when building impactful products that help change people's lives. The Workout team is responsible for bringing comprehensive Workout and Fitness experiences to life on watch OS and iOS. As an engineer on our team, your primary responsibility will be to help develop the Workout and Fitness apps. You'll also contribute to different levels of the engineering stack throughout the development process, including as we continue to expand intelligence features like Workout Buddy in the Fitness space. An interest in building consumer applications in the Fitness space Experience optimizing applications and profiling throughout the stack Experience improving and expanding on existing complex projects and systems BS CE/CS or equivalent experience required Excellent Swift coding ability Deep commitment to product quality Excellent communication and collaborative skills Enthusiastic about working on a cross functional team

**Weekly Hours:** 40 **Role Number:** 200*********** Join the team that is revolutionizing the watch! As a software engineer on the Apple Watch Workout team you will be responsible for building extraordinary fitness features. You'll work closely with the Design and QA teams to develop software of superior quality that will empower millions of users to help live their best lives. As a driving force behind the Fitness experience at Apple, your contributions empower our users to take charge of their health and fitness journeys. Above all, we value passion and collaboration when building impactful products that help change people's lives. **Description** The Workout team is responsible for bringing comprehensive Workout and Fitness experiences to life on watch OS and iOS. As an engineer on our team, your primary responsibility will be to help develop the Workout and Fitness apps. You'll also contribute to different levels of the engineering stack throughout the development process, including as we continue to expand intelligence features like Workout Buddy in the Fitness space. **Minimum Qualifications** + BS CE/CS or equivalent experience required + Excellent Swift coding ability + Deep commitment to product quality + Excellent communication and collaborative skills + Enthusiastic about working on a cross functional team **Preferred Qualifications** + An interest in building consumer applications in the Fitness space + Experience optimizing applications and profiling throughout the stack + Experience improving and expanding on existing complex projects and systems Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant (*********************************************************************************************** .

Country: United States of America Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance: TS/SCI - Current Command & Control Software Engineer II (Onsite) At Raytheon, the foundation of everything we do is rooted in our values and a higher calling - to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. Our team solves tough, meaningful problems that create a safer, more secure world. Raytheon's Air & Space Defense Systems (ASDS) strategic business unit (SBU) specializes in multi-domain integrated air and missile defense, advanced sensors, space-based systems, hypersonics, effectors and cyber solutions. Focused on program execution, business growth and the highest level of customer satisfaction, the ASDS team provides customers with unmatched capabilities of detection and sensing, command and control, and air-to-air, air-to-surface, and surface-to-air munitions to accomplish air, space and missile defense missions. Within ASDS, Space Intelligence, Surveillance & Reconnaissance is our Sub-SBU that delivers information superiority from space, multi-mission automation and orchestration, multiple intelligence (Multi-INT) and resilient operations, secure processing, and data management. This position is an onsite role in Aurora, CO What You Will Do Design, develop, test, deliver, and maintain software for cutting-edge satellite ground systems Work with talented teams of engineers, architects, and leaders in an Agile environment What You Will Learn A breadth of advanced software technologies and techniques including multi-tiered architectures, AWS web services, and microservice software design Modern DevSecOps and Continuous Integration/Continuous Delivery techniques. Software lifecycle practices for large-scale defense projects Satellite ground system technologies Qualifications You Must Have Typically requires a Bachelor's degree in Science, Technology, Engineering or Mathematics (STEM) and 2 years of relevant software engineering experience Experience developing object-oriented software using C++ and Java Active and transferable Top Secret U.S. government issued security clearance is required prior to start date with the ability to obtain a TS/SCI without Polygraph prior to start. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Qualifications We Prefer Experience with DevSecOps methods and tools Experience with stateless/serverless software and architecture Experience with microservice software and architecture Experience with containerized applications and tools such as Docker, Kubernetes, and Kafka Experience with AWS cloud services Experience with Grafana Experience with satellite command and control software What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value, Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Relocation eligible. Relocation assistance is available for this role. Learn More & Apply Now! Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. Location Information: Aurora, CO: ************************************************************* RTX Corporation is an Aerospace and Defense company that provides advanced systems and services for commercial, military and government customers worldwide. It comprises three industry-leading businesses - Collins Aerospace Systems, Pratt & Whitney, and Raytheon. Its 185,000 employees enable the company to operate at the edge of known science as they imagine and deliver solutions that push the boundaries in quantum physics, electric propulsion, directed energy, hypersonics, avionics and cybersecurity. The company, formed in 2020 through the combination of Raytheon Company and the United Technologies Corporation aerospace businesses, is headquartered in Arlington, VA. As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 68,900 USD - 131,100 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills.Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance.This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX 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, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms

Country: United States of America Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: TS/SCI - Current Security Clearance Status: Active and existing security clearance required on day 1 At Raytheon, the foundation of everything we do is rooted in our values and a higher calling - to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. Our team solves tough, meaningful problems that create a safer, more secure world. Raytheon's Air & Space Defense Systems (ASDS) strategic business unit (SBU) specializes in multi-domain integrated air and missile defense, advanced sensors, space-based systems, hypersonics, effectors and cyber solutions. Focused on program execution, business growth and the highest level of customer satisfaction, the ASDS team provides customers with unmatched capabilities of detection and sensing, command and control, and air-to-air, air-to-surface, and surface-to-air munitions to accomplish air, space and missile defense missions. Within ASDS, Space Intelligence, Surveillance & Reconnaissance is our Sub-SBU that delivers information superiority from space, multi-mission automation and orchestration, multiple intelligence (Multi-INT) and resilient operations, secure processing, and data management. In this role, you will join a small, highly-focus team working to develop and maintain signal processing applications for use in a real-time operational environment. The team members are multi-disciplined and contribute across all phases of systems engineering, software development, integration and test, and metrics. The team works closely with operations personnel to meet unique and continuously evolving development needs. This position is an onsite role in Aurora, CO What You Will Do Design and integrate cloud software products into a customer hosting environment. Review and produce architectural diagrams using Cameo. Work with talented teams of engineers, architects, and leaders in an Agile environment. What You Will Learn Modern DevSecOps and Continuous Integration/Continuous Delivery techniques. Software lifecycle practices on defense projects. Qualifications You Must Have Typically requires a degree in Science, Technology, Engineering, or Mathematics (STEM) and 10 years of prior, relevant software engineering experience. Experience with Kubernetes including using yaml. Experience with Helm Charts and abstraction. Experience with software development using C++ and Python. Experience with test automation using CI/CD pipelines. Experience with RabbitMQ and Celery. An active and transferable U.S. government issued TS/SCI security clearance is required prior to start date. An active and transferable U.S. government issued Top Secret security clearance that can be crossed over to a TS/SCI security clearance is also acceptable. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance. Qualifications We Prefer Experience with ArgoCD in a Linux environment Ability to support Docker containerization and orchestration design for scalability Experience programming in Go. Experience with GitLab pipelines. Experience developing software in a Linux environment and Linus shell scripting. What We Offer Whether you're just starting out on your career journey or are an experienced professional, we offer a total rewards package that goes above and beyond with compensation; healthcare, wellness, retirement, and work/life benefits; career development and recognition programs. Some of the benefits we offer include parental (including paternal) leave, flexible work schedules, achievement awards, educational assistance, and child/adult backup care. Relocation Eligibility - Relocation assistance is available. Learn More & Apply Now! Please consider the following role type definition as you apply for this role. Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. Aurora, CO: Aurora, CO: ************************************************************* We Are RTX #LI-Onsite #LI-HS30 As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 132,400 USD - 251,600 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills.Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance.This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX 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, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms

Country: United States of America Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: TS/SCI with Polygraph Security Clearance Status: Active and existing security clearance required on day 1 At Raytheon, the foundation of everything we do is rooted in our values and a higher calling - to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. Our team solves tough, meaningful problems that create a safer, more secure world. As a Senior Platform Developer, you will herald a transformative era in software engineering, one that underscores the integration of development and operations through a single, comprehensive platform. Platform engineers, with their comprehensive technical and problem-solving skills, are shaping the future of software development to efficiently deliver high-quality, secure software, by providing automated services that enable SW engineers to focus on developing mission capabilities. The role's core responsibility revolves around empowering development teams with a robust platform that streamlines processes, enhances collaboration, and accelerates release cycles, thereby driving efficiency and innovation. You will be on an agile team that is responsible for development and operational environments consisting of a mix of servers, workstations, storage, networks, and custom hardware. These environments provide the enterprise hybrid-cloud backbone for product development and testing for a large program producing a critical, strategic national asset. This will include a mixture of hands-on keyboard engineering work as well as documentation and baseline control. Note This position will be onsite at the RTX Facility in Aurora CO. What You Will Do Write Infrastructure as Code (IaC) in support of transitioning a system that is tightly coupled to the underlying infrastructure to a modern platform infrastructure Optimize implementation for performance and scalability across on-premises VMware computing environments Leverage company and industry best practices and capabilities to improve scalability, consistency, infrastructure efficiency, reduce deployment time, and automate configuration management Collaborate with software engineers, data scientists, and DevOps teams to design and implement development and mission solutions Integrate security and compliance into the platform with services such as encryption and access management Provide operational support for the platform Qualifications You Must Have Typically requires BS/BA Degree in Science, Technology Engineering Math (STEM) in Computer Science, Computer Engineering, Information Technology or Physics and a minimum 5 years of related work experience Experience with containerization using technologies such as Kubernetes and Docker Experience developing, testing & delivering applications w/in a DevSecOps framework Experience with programming/scripting languages (E.g. Python, Java, Ruby, Bash, C++, C#, Go) Active and current TS/SCI / CI Poly security clearance is required day 1. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Qualifications We Prefer Experience with Agile Development Methodologies (E.g. scrum, SAFe) Experience deploying, configuring, and supporting CICD Pipelines tools (E.g. Jira, Confluence, Bit Bucket, Jenkins, Artifactory, Gitlab) Experience with automation frameworks such as Chef, Puppet, and Ansible Experience with scanning tools (E.g. Nessus, Fortify, Anchore) Multi-disciplined infrastructure experience and expertise (Server, Storage, Network Hardware) Background in COTS/FOSS product installation, configuration, and integration Experience designing, implementing, and integrating platform infrastructure services using infrastructure as code (IaC) Current CompTIA Security + or ability to obtain What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation Relocation Eligibility Learn More & Apply Now! Please consider the following role type definition as you apply for this role Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products This position requires security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here: ************************************************ Location: Aurora, CO: ************************************************************* We Are RTX As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 86,800 USD - 165,200 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills.Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance.This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX 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, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms

WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences-from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you'll discover the real differentiator is our culture. We push the limits of innovation to solve the world's most important challenges-striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE ROLE: Our growing team plays a major role in architecting and shaping data center GPUs offered by AMD. As part of the Exerciser team, you will architect and develop low-level GPU testcases ("exercisers") to expose silicon and software bugs. This will require strong collaboration with stakeholders from design, emulation, driver, firmware, and debug teams. Candidates with a background or strong skills in both GPU and systems programming (Linux kernel and userspace) will excel in this role. Out-of-the-box thinking and leveraging of novel approaches to address tough technical challenges is encouraged. Join our growing team to accelerate the introduction of cutting-edge compute products into the datacenter market. THE PERSON: We are seeking a highly analytical and detail-oriented individual with proven problem-solving skills. The successful candidate will possess strong technical expertise, specifically in GPU programming and Linux systems programming. You should be comfortable working both collaboratively as part of a team and independently, demonstrating the ability to manage your workload efficiently with minimal supervision. KEY RESPONSIBILITIES: Design and implement innovative exercisers and stress applications that leverage deep understanding of GPU microarchitecture to uncover subtle hardware and software issues. Drive complex debug efforts from failure observation through root-cause analysis, working closely with hardware, firmware, and software teams. Build and enhance in-house stress and validation frameworks, improving their scalability, coverage, and ease of use for the broader engineering organization. PREFERRED EXPERIENCE: The preferred candidate has worked on at least two projects utilizing many of the skills below: GPU programming (CUDA / HIP / OpenCL / SP3 assembly) GPU architecture expertise Microprocessor validation/ verification Experience with parallel programming, concurrency, and memory consistency models Modern C++ programming Low-level/firmware programming Linux device drivers and/or kernel development Linux userspace systems programming EDUCATION: * Bachelor's or Master's Degree in Computer Engineering, Electrical Engineering, Computer Science, or a related field. #LI-EV1 #LI-HYBRID Benefits offered are described: AMD benefits at a glance. AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants' needs under the respective laws throughout all stages of the recruitment and selection process.

Description & Requirements Our Team: The Middleware Transport Team provides essential transport services and libraries that support Bloomberg's middleware infrastructure systems. Our work is focused on two primary areas: the Market Data Transport Service and the Network Transport Framework (NTF). The Market Data Transport Service powers large-scale, real-time market data distribution systems. It abstracts the complexity of reliable multicast and unicast protocols to deliver a seamless publish/subscribe transport layer over IP networks. To enhance connectivity across disjoined multicast domains, we also offer transport relay clusters that enable efficient and reliable Market Data distribution. The Network Transport Framework is a suite of libraries designed for asynchronous network programming. It supports the development of scalable, high-performance applications and has recently been released as open-source, expanding its impact beyond Bloomberg. The Role: You will be part of the team to develop and maintain our transport service products, as well as building tools for product testing, deployment and observability. You will work with other engineers in the team to define requirements, analyze, design and implement high-performance, scalable solutions that meet our clients' needs for real-time data distribution. We'll trust you to: * Design API for low latency data distribution * Develop software using C++ and multi-threaded programming * Analyze and debug multithreaded user interface and applications on Linux and Windows * Build tools for operational support in service monitoring and deployment workflow * Communicate and share our values toward software development and professional collaboration You'll need to have: * 4+ years of experience in C++ and multi-threaded programming * Good framework design and problem-solving thought process * Good communication and organizational skills * Interest in system and network programming What's in it for you: You'll be contributing to the core technology that powers the company's enterprise data distribution systems - responsible for delivering petabytes of data daily across thousands of machines in production. In this role, you'll collaborate with other engineering teams on network design, system performance, and platform support. You'll gain valuable experience building and maintaining mission-critical transport systems at scale, along with the opportunity to contribute to broader technical communities. We'd love to see: * Experience in network programming and protocol design * Experience in designing, analyzing, and debugging multithreaded applications * Experience in low latency data processing * Desire to understand how operating systems and networking hardware work * Experience with Google Test, CMake and Jenkins CI * Experience in Python * Knowledge of the Linux kernel * Knowledge of the Windows Platform If this sounds good to you, please apply! Salary Range = 160000 - 240000 USD Annually + Benefits + Bonus The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level. We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns. Discover what makes Bloomberg unique - watch our podcast series for an inside look at our culture, values, and the people behind our success.

About the Role We're looking for exceptional engineers to help build one of the most transformative applications of AI: using ChatGPT to expand economic opportunity at scale. This is a unique chance to work at the intersection of agents, search/matching, personalization, UX, and real-world economic impact and building AI products that directly change people's lives. Millions already turn to ChatGPT for career help, but the job market is stuck in static résumés, keyword search, and opaque hiring. We're building something different: a career agent that understands your skills, helps you prove them through certifications, and works nonstop to unlock opportunities - leading to a network where worker and employer agents match on real capabilities, not job boards. In this role, you will: Own major product surfaces end-to-end to build the next-generation AI-powered jobs platform Design and ship core systems for matching, candidate verification, skills representation, and workflow automation Work with research to turn new model and agent capabilities into production features that help users prove skills, certify expertise, and find great opportunities Build high-trust, scalable systems that support millions of job seekers and employers Run experiments, talk to users, and iterate quickly to identify what drives successful outcomes, not clicks or resumes Work closely with product, design, research, and ops to create human-centered experiences powered by AI Optimize for speed, reliability, and security, ensuring a trusted platform for economic mobility You may be a good fit if you have: 5+ years of software engineering experience building highly-available user-facing products Experience working across the stack (frontend + backend) and comfort owning features end-to-end Passion for marketplaces, matching systems, or search/personalization, even if you haven't built one before Interest in AI-driven UX, agents, and workflow automation (direct ML experience not required) Enthusiasm for working in a fast-moving, ambiguous environment where new ideas ship quickly and user impact matters most About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI's affirmative action and equal employment opportunity policy statement. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology. #J-18808-Ljbffr

Join the engineering teams that bring OpenAI's ideas safely to the world!! The Applied Engineering team works across research, engineering, product, and design to bring OpenAI's technology to consumers and businesses. We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth. About the Role As OpenAI continues to grow, we are looking for experienced, problem-solving engineers to ensure our systems scale. Our success depends on our ability to quickly iterate on products while also ensuring that they are performant and reliable. You will work in a deeply iterative, collaborative, fast-paced environment to bring our technology to millions of users around the world, and ensure it's delivered with safety and reliability in mind. Successful candidates will play a crucial role in ensuring the reliability, scalability, and performance of our systems as we continue to expand. As a reliability expert, you will be at the forefront of maintaining and enhancing the stability, scalability, and performance of our rapidly evolving infrastructure. You will work closely with cross-functional teams, including software engineers, product managers, and data scientists, to build and maintain resilient systems that can handle our growing user base and workload. In this role, you will: Design and implement solutions to ensure the scalability of our infrastructure to meet rapidly increasing demands. Collaborate with development teams to make the systems they design and operate more reliable. Implement and manage monitoring systems to proactively identify issues and anomalies in our production environment. Develop and maintain service level objectives (SLOs) and service level indicators (SLIs) to measure and ensure system reliability. Implement fault-tolerant and resilient design patterns to minimize service disruptions. Build and maintain automation tools to streamline repetitive tasks and improve system reliability. Partner with researchers, engineers, product managers, and designers to bring new features and research capabilities to the world. Participate in an on-call rotation to respond to critical incidents and ensure 24/7 system availability. You might thrive in this role if you: Enjoy seeking out and addressing bottlenecks and areas for performance improvement in our systems. Utilize Infrastructure as Code (IaC) principles to automate infrastructure provisioning and configuration management. Are experienced in collaborating with cross-functional teams to ensure that reliability and scalability are considered in the design and development of new features and services. Have a track record of accelerating engineering reliability by empowering your fellow engineers with excellent tooling and systems. Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed. Own problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done. Qualifications: Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent work experience). Proven experience as an reliability engineer or a similar role in a fast-paced, rapidly scaling company. Strong proficiency in cloud infrastructure. Proficiency in programming/scripting languages. Experience with containerization technologies and container orchestration platforms like Kubernetes. Knowledge of IaC tools such as Terraform or CloudFormation. Excellent problem-solving and troubleshooting skills. Strong communication and collaboration skills. Experience with observability tools such as DataDog, Prometheus, Grafana, Splunk and ELK stack. Experience with microservices architecture and service mesh technologies. Knowledge of security best practices in cloud environments. This role is exclusively based in our San Francisco HQ. We offer relocation assistance to new employees. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI's Affirmative Action and Equal Employment Opportunity Policy Statement. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology. #J-18808-Ljbffr

The Workload Networking team is responsible for the collective communication stack used in our largest training jobs. Using a combination of C++ and CUDA we work on novel collective communication techniques that enable efficient training of our flagship models on our largest custom built supercomputers. The models we train are key ingredients to the AI research progress at OpenAI and the field as a whole, and we continually incorporate learnings from our entire research org into our training platform. Role As a Software Engineer, Networking you will design and implement custom networking collectives that are tightly integrated into our training stack. We\'re looking for people who have a background in low level performance critical software. Experience with collective communication is a bonus. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. Responsibilities Collaborate closely with ML researchers to design and implement efficient collective operations in C++ and CUDA. Ensure that our largest training jobs take full advantage of the different network transports used in our supercomputers. Work on simulations to inform our future supercomputer network designs. Qualifications Have written distributed algorithms using RDMA in the past. Are comfortable writing low level performance sensitive CPU and/or GPU code. Are familiar with network simulation techniques. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI's Affirmative Action and Equal Employment Opportunity Policy Statement. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology. Compensation Range: $380K - $555K #J-18808-Ljbffr