About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description Visa's Technology Organization is a community of problem solvers and innovators reshaping the future of commerce. We operate the world's most sophisticated processing networks capable of handling more than 65k secure transactions a second across 80M merchants, 15k Financial Institutions, and billions of everyday people. While working with us you'll get to work on complex distributed systems and solve massive scale problems centered on new payment flows, business and data solutions, cyber security, and B2C platforms. The Opportunity: We are looking for Versatile, curious, and energetic Software Engineers who embrace solving complex challenges on a global scale. As a Visa Software Engineer, you will be an integral part of a multi-functional development team inventing, designing, building, and testing software products that reach a truly global customer base. Join the Commercial and Money Movement Solutions (CMS) organization as a Senior Staff Engineer focused on leveraging AI to solve complex engineering and customer challenges. You will work on innovative solutions that combine deep technical expertise with AI/ML capabilities to enhance developer productivity, improve customer experiences, and drive next-generation commercial payment and money movement technology for B2B, B2C, P2P, and G2C flows. The Work itself: Design and architect AI-powered solutions that solve engineering productivity challenges and enhance customer-facing products across CMS Lead technical initiatives leveraging agentic AI, LLMs, and machine learning to automate workflows and improve software quality Collaborate multi-functionally to create design artifacts and develop best-in-class software solutions for multiple Visa technical offerings Drive experimentation with emerging AI technologies and make technical decisions on adoption and standards Develop robust and scalable products intended for a myriad of customers including end-user merchants, b2b, and business to government solutions. Develop scalable platforms and services that integrate AI capabilities into Visa's commercial payment and money movement systems Opportunities to make a difference on a global or local scale through mentorship and continued learning opportunities Essential Functions: Works directly with product owners to gather and refine requirements across products, adding and taking into account existing tools and solutions across the organization. Develops and designs advanced architect solutions that are robust and scalable, integrating AI capabilities with Visa's technical ecosystem Provides domain expertise on the development of technical documentation of solutions and contributes to standard processes in technical documentation as needed. Plays a key role in the development and delivery of new features across products from end-to-end. This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications • 8+ years of relevant work experience with a Bachelor's Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD, OR 11+ years of relevant work experience. Preferred Qualifications • 9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD • Master's degree in Math, Science, Engineering, Computer Science, Information Systems or related field AND minimum six (6) years of experience in a directly related field OR Bachelor's degree in Math, Science, Engineering, Computer Science, Information Systems or related field AND minimum eight (8) years of experience in a directly related field OR Minimum eleven (11) years of directly related experience • Experience with AI agent frameworks, LLMs, or generative AI applications (Claude, GPT, etc.) • Knowledge of AI-powered development tools (Claude Code, GitHub Copilot, etc.) or building similar systems • Experience applying AI to solve engineering challenges or customer-facing product features • Understanding of commercial payments, money movement, B2B payables, or payment processing • Experience with cloud platforms (AWS, Azure, GCP) and modern architectures • Knowledge of API design, microservices, and distributed systems • Experience leading cross-team technical initiatives The Skills You Bring • Energy and Experience: A growth mindset that is curious and passionate about technologies and enjoys challenging projects on a global scale • AI Expertise: Experience with agentic AI, LLMs, AI agent frameworks, or machine learning applications • Challenge the Status Quo: Comfort in pushing the boundaries, 'hacking' beyond traditional solutions • Language Expertise: Expertise in one or more general development languages (e.g., Java, C#, C++) • Architecture & Design: Proven track record designing scalable systems that integrate AI capabilities • Builder: Experience building AI-powered features for engineering productivity or customer-facing applications • Learner: Constant drive to learn new technologies such as Angular, React, Kubernetes, Docker, etc. • Partnership: Experience collaborating with Product, Test, Dev-ops, and Agile/Scrum teams • We do not expect that any single candidate would fulfill all of these characteristics. For instance, we have exciting team members who are really focused on building scalable systems but didn't work with payments technology or web applications before joining Visa. Information for US Applicants For roles located in the US, the estimated salary range for this position is $169,100.00 to $ 270,800.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.
09/25/2026
Full time
About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description Visa's Technology Organization is a community of problem solvers and innovators reshaping the future of commerce. We operate the world's most sophisticated processing networks capable of handling more than 65k secure transactions a second across 80M merchants, 15k Financial Institutions, and billions of everyday people. While working with us you'll get to work on complex distributed systems and solve massive scale problems centered on new payment flows, business and data solutions, cyber security, and B2C platforms. The Opportunity: We are looking for Versatile, curious, and energetic Software Engineers who embrace solving complex challenges on a global scale. As a Visa Software Engineer, you will be an integral part of a multi-functional development team inventing, designing, building, and testing software products that reach a truly global customer base. Join the Commercial and Money Movement Solutions (CMS) organization as a Senior Staff Engineer focused on leveraging AI to solve complex engineering and customer challenges. You will work on innovative solutions that combine deep technical expertise with AI/ML capabilities to enhance developer productivity, improve customer experiences, and drive next-generation commercial payment and money movement technology for B2B, B2C, P2P, and G2C flows. The Work itself: Design and architect AI-powered solutions that solve engineering productivity challenges and enhance customer-facing products across CMS Lead technical initiatives leveraging agentic AI, LLMs, and machine learning to automate workflows and improve software quality Collaborate multi-functionally to create design artifacts and develop best-in-class software solutions for multiple Visa technical offerings Drive experimentation with emerging AI technologies and make technical decisions on adoption and standards Develop robust and scalable products intended for a myriad of customers including end-user merchants, b2b, and business to government solutions. Develop scalable platforms and services that integrate AI capabilities into Visa's commercial payment and money movement systems Opportunities to make a difference on a global or local scale through mentorship and continued learning opportunities Essential Functions: Works directly with product owners to gather and refine requirements across products, adding and taking into account existing tools and solutions across the organization. Develops and designs advanced architect solutions that are robust and scalable, integrating AI capabilities with Visa's technical ecosystem Provides domain expertise on the development of technical documentation of solutions and contributes to standard processes in technical documentation as needed. Plays a key role in the development and delivery of new features across products from end-to-end. This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications • 8+ years of relevant work experience with a Bachelor's Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD, OR 11+ years of relevant work experience. Preferred Qualifications • 9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD • Master's degree in Math, Science, Engineering, Computer Science, Information Systems or related field AND minimum six (6) years of experience in a directly related field OR Bachelor's degree in Math, Science, Engineering, Computer Science, Information Systems or related field AND minimum eight (8) years of experience in a directly related field OR Minimum eleven (11) years of directly related experience • Experience with AI agent frameworks, LLMs, or generative AI applications (Claude, GPT, etc.) • Knowledge of AI-powered development tools (Claude Code, GitHub Copilot, etc.) or building similar systems • Experience applying AI to solve engineering challenges or customer-facing product features • Understanding of commercial payments, money movement, B2B payables, or payment processing • Experience with cloud platforms (AWS, Azure, GCP) and modern architectures • Knowledge of API design, microservices, and distributed systems • Experience leading cross-team technical initiatives The Skills You Bring • Energy and Experience: A growth mindset that is curious and passionate about technologies and enjoys challenging projects on a global scale • AI Expertise: Experience with agentic AI, LLMs, AI agent frameworks, or machine learning applications • Challenge the Status Quo: Comfort in pushing the boundaries, 'hacking' beyond traditional solutions • Language Expertise: Expertise in one or more general development languages (e.g., Java, C#, C++) • Architecture & Design: Proven track record designing scalable systems that integrate AI capabilities • Builder: Experience building AI-powered features for engineering productivity or customer-facing applications • Learner: Constant drive to learn new technologies such as Angular, React, Kubernetes, Docker, etc. • Partnership: Experience collaborating with Product, Test, Dev-ops, and Agile/Scrum teams • We do not expect that any single candidate would fulfill all of these characteristics. For instance, we have exciting team members who are really focused on building scalable systems but didn't work with payments technology or web applications before joining Visa. Information for US Applicants For roles located in the US, the estimated salary range for this position is $169,100.00 to $ 270,800.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.
Senior Staff Engineer, AI Compute (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Capital One machine learning platform organization manages our cloud-based enterprise AI+ML system delivering the high-scale developer and runtime environments required to build, orchestrate, and deploy compute and data intensive AI systems across real-time and batch workloads. We are seeking a Senior Distinguished Engineer, a hands-on technical leader passionate about distributed systems, to engineer and scale foundational compute capabilities for our platform. You will use your experience in building large scale, highly available and high performance systems to develop our common compute infrastructure on top of CPU and GPU substrates. Your contributions will power everything from developer notebooks to ML / DL model training, model inference and feature generation pipelines to pre-training and fine tuning Transformer-based models as well as generative AI inference and agentic applications. Your depth of expertise in technologies including Golang and Python programming languages, popular distributed compute frameworks including Spark / Dask / Ray / Flink, container (e.g., Kubernetes) and serverless (e.g., AWS Lambda) runtime environments, and ML+AI workload patterns will provide an amplifying technical element that is paramount to our team's success. In this role, you will : Architect and build control and data plane implementations required to realize a highly available, multi-tenant, large scale and a secure machine learning platform Develop Ray and Spark distributed compute engine solutions to accelerate diverse workloads from LLM pre-training and reinforcement learning to large-scale data processing, while maximizing compute unit economics Engineer systemic improvements for operational excellence including automating KTLO (Keep The Lights On) workflows Direct the technical execution of a diverse project portfolio, collaborating with developers specializing in everything ranging from distributed microservices to running large foundation models Work cross-functionally with product and program management disciplines, and stakeholder and partners across Capital One to help optimize business outcomes while driving towards strong technology solutions Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and leading system design and code review sessions Help elevate the Capital One Distinguished Engineering community and establish yourself as a go-to resource on given technologies and technology-enabled capabilities Lead the way in creating next-generation talent, mentoring internal talent and actively recruiting external talent to bolster the Capital One tech talent pool Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications : Master's Degree in Computer Science or a Master's Degree in Software Engineering Hands on experience in the internals of Ray (Actors/GCS/Scheduling) or Spark (Query Optimizer/Memory Management) Experience building platforms that support LLM training, fine-tuning, or high-throughput inference Hands-on experience with AWS-specific compute primitives (EKS, EC2 UltraClusters, Graviton) and cost-optimization strategies History of upstream contributions to major distributed systems projects Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Distinguished AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer Richmond, VA: $286,200 - $326,700 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
09/25/2026
Full time
Senior Staff Engineer, AI Compute (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Capital One machine learning platform organization manages our cloud-based enterprise AI+ML system delivering the high-scale developer and runtime environments required to build, orchestrate, and deploy compute and data intensive AI systems across real-time and batch workloads. We are seeking a Senior Distinguished Engineer, a hands-on technical leader passionate about distributed systems, to engineer and scale foundational compute capabilities for our platform. You will use your experience in building large scale, highly available and high performance systems to develop our common compute infrastructure on top of CPU and GPU substrates. Your contributions will power everything from developer notebooks to ML / DL model training, model inference and feature generation pipelines to pre-training and fine tuning Transformer-based models as well as generative AI inference and agentic applications. Your depth of expertise in technologies including Golang and Python programming languages, popular distributed compute frameworks including Spark / Dask / Ray / Flink, container (e.g., Kubernetes) and serverless (e.g., AWS Lambda) runtime environments, and ML+AI workload patterns will provide an amplifying technical element that is paramount to our team's success. In this role, you will : Architect and build control and data plane implementations required to realize a highly available, multi-tenant, large scale and a secure machine learning platform Develop Ray and Spark distributed compute engine solutions to accelerate diverse workloads from LLM pre-training and reinforcement learning to large-scale data processing, while maximizing compute unit economics Engineer systemic improvements for operational excellence including automating KTLO (Keep The Lights On) workflows Direct the technical execution of a diverse project portfolio, collaborating with developers specializing in everything ranging from distributed microservices to running large foundation models Work cross-functionally with product and program management disciplines, and stakeholder and partners across Capital One to help optimize business outcomes while driving towards strong technology solutions Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and leading system design and code review sessions Help elevate the Capital One Distinguished Engineering community and establish yourself as a go-to resource on given technologies and technology-enabled capabilities Lead the way in creating next-generation talent, mentoring internal talent and actively recruiting external talent to bolster the Capital One tech talent pool Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications : Master's Degree in Computer Science or a Master's Degree in Software Engineering Hands on experience in the internals of Ray (Actors/GCS/Scheduling) or Spark (Query Optimizer/Memory Management) Experience building platforms that support LLM training, fine-tuning, or high-throughput inference Hands-on experience with AWS-specific compute primitives (EKS, EC2 UltraClusters, Graviton) and cost-optimization strategies History of upstream contributions to major distributed systems projects Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Distinguished AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer Richmond, VA: $286,200 - $326,700 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Date Posted: 2026-08-05 Country: United States of America Location: US-AZ-TUCSON- E Hermans Rd BLDG 805 Position Role Type: 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: DoD Clearance: Secret Security Clearance Status: Ability to obtain INTERIM U.S. government issued security clearance is required prior to start date At RTX, the world largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings 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. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense. The Software organization develops software applications, including integration and test on missiles, launchers, radars, naval systems, fire control and other complex systems. Our precision software and firmware integrate operating systems, device drivers, networking, and control software to bring together sensor, guidance, and flight control processing features to complete the mission. The Software org is made up of several Centers located across the country, responsible for all aspects of the software development lifecycle. Our 4000+ software engineers design, develop, and build innovative solutions for our customers. Join our fast-paced agile teams on the leading edge of technology. As part of the Software Engineering Directorate's (SWE) Effectors Center (EC) team, you will be an integral part of helping Raytheon further our vision to be the global leader in core and next-generation weapon and security solutions. By any measure, Raytheon is an exciting and rewarding place to work. We pride ourselves on developing mission-driven, world-class talent. The result is a workforce that takes pride in the company and consistently delivers superior solutions. Our Principal Embedded Real-Time Software Developer/Integrator is a technical position that works in an Integrated Product Team (IPT) environment to architect, design, implement, test, debug, and deploy Software for Firmware (FPGA) and Hardware solutions that meet current and next generation autonomous avionics systems' needs. Working with a cross-discipline team, the candidate must have experience developing, testing, and integrating software for edge or embedded devices and/or subsystems (like telecom, medical, IoT, automotive, or robotics) where hardware operation, time critical function, functional reliability, mission assurance, and safety might be major concerns. The successful candidate will work with Product Owners, Chief Engineers, Management and other IPT members using Lean and/or Agile practices to ensure that embedded software is designed and developed to reliably operate toward the intended functions. This position is within the Effectors Center of the Software organization, and is an onsite role located in Tucson, AZ. What You Will Do Architecting, designing, implementing, testing, and debugging integrated embedded real-time software within heterogenous systems composed of firmware and hardware. Working within a cross-discipline team to define, refine, and improve product concept, implementation, testability, and guaranteed, measurable quality. Teaching, coaching, and mentoring less experienced staff. Contributing to proposals as well as preliminary and critical design reviews. Ability to obtain program access. What You Will Learn Working across a product line in collaboration with other teams. Qualifications You Must Have Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and a minimum of 8 years of prior relevant experience. Experience including at least two of the following: Embedded C++ Software, Embedded Software Security, Software Architecture Design and Implementation. Experience using embedded Real Time Operating Systems (RTOS) (e.g., Green Hills, Integrity, Wind River VxWorks, Linux, etc.) Experience developing complex systems involving the integration of hardware, firmware, and software Ability to obtain Interim Secret Level U.S. government issued security clearance is required prior to start date with the ability to obtain program access after start. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance. Qualifications We Prefer Familiarity with rate monotonic theory, practice, and limitations. Familiarity with layered architectural principles, and their limitations. Familiarity with reading electrical schematics and relating it to software function. Familiarity with reading firmware source like VHDL or Verilog. Familiarity with assembly language in at least one processor/controller family. Experience using lab instruments like power-supplies, digital multi-meters, oscilloscopes, and logic analyzers. Experience with developing device drivers for bare-metal and/or OS applications. Experience leading engineering teams in delivering systems (of various size) involving the integration of hardware and 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 Offered Based On 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. Clearance Information: This position requires a 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 Information: This position is onsite at our campus in beautiful Tucson, AZ. Tucson has a friendly, caring, and laid-back atmosphere, combined with the innovation and energy of a metropolitan region, and recognized as one of America's 10 Best Small Cities. Surrounded by beautiful mountains, colorful Sonoran Desert landscape and majestic saguaro cacti, Tucson is blessed with some of nature's best work. Tucson is known for its bright blue skies, and with more than 310 sunny days per year, Tucson's fantastic weather lets residents enjoy the outdoors year-round. Virtual Fly Over City of Tucson & Community, YouTube Video Links "Raytheon In Tucson": ,-az-location "Tucson is Awesome": "Winter in Tucson": 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 107,500 USD - 204,500 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. . click apply for full job details
09/25/2026
Full time
Date Posted: 2026-08-05 Country: United States of America Location: US-AZ-TUCSON- E Hermans Rd BLDG 805 Position Role Type: 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: DoD Clearance: Secret Security Clearance Status: Ability to obtain INTERIM U.S. government issued security clearance is required prior to start date At RTX, the world largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings 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. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense. The Software organization develops software applications, including integration and test on missiles, launchers, radars, naval systems, fire control and other complex systems. Our precision software and firmware integrate operating systems, device drivers, networking, and control software to bring together sensor, guidance, and flight control processing features to complete the mission. The Software org is made up of several Centers located across the country, responsible for all aspects of the software development lifecycle. Our 4000+ software engineers design, develop, and build innovative solutions for our customers. Join our fast-paced agile teams on the leading edge of technology. As part of the Software Engineering Directorate's (SWE) Effectors Center (EC) team, you will be an integral part of helping Raytheon further our vision to be the global leader in core and next-generation weapon and security solutions. By any measure, Raytheon is an exciting and rewarding place to work. We pride ourselves on developing mission-driven, world-class talent. The result is a workforce that takes pride in the company and consistently delivers superior solutions. Our Principal Embedded Real-Time Software Developer/Integrator is a technical position that works in an Integrated Product Team (IPT) environment to architect, design, implement, test, debug, and deploy Software for Firmware (FPGA) and Hardware solutions that meet current and next generation autonomous avionics systems' needs. Working with a cross-discipline team, the candidate must have experience developing, testing, and integrating software for edge or embedded devices and/or subsystems (like telecom, medical, IoT, automotive, or robotics) where hardware operation, time critical function, functional reliability, mission assurance, and safety might be major concerns. The successful candidate will work with Product Owners, Chief Engineers, Management and other IPT members using Lean and/or Agile practices to ensure that embedded software is designed and developed to reliably operate toward the intended functions. This position is within the Effectors Center of the Software organization, and is an onsite role located in Tucson, AZ. What You Will Do Architecting, designing, implementing, testing, and debugging integrated embedded real-time software within heterogenous systems composed of firmware and hardware. Working within a cross-discipline team to define, refine, and improve product concept, implementation, testability, and guaranteed, measurable quality. Teaching, coaching, and mentoring less experienced staff. Contributing to proposals as well as preliminary and critical design reviews. Ability to obtain program access. What You Will Learn Working across a product line in collaboration with other teams. Qualifications You Must Have Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and a minimum of 8 years of prior relevant experience. Experience including at least two of the following: Embedded C++ Software, Embedded Software Security, Software Architecture Design and Implementation. Experience using embedded Real Time Operating Systems (RTOS) (e.g., Green Hills, Integrity, Wind River VxWorks, Linux, etc.) Experience developing complex systems involving the integration of hardware, firmware, and software Ability to obtain Interim Secret Level U.S. government issued security clearance is required prior to start date with the ability to obtain program access after start. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance. Qualifications We Prefer Familiarity with rate monotonic theory, practice, and limitations. Familiarity with layered architectural principles, and their limitations. Familiarity with reading electrical schematics and relating it to software function. Familiarity with reading firmware source like VHDL or Verilog. Familiarity with assembly language in at least one processor/controller family. Experience using lab instruments like power-supplies, digital multi-meters, oscilloscopes, and logic analyzers. Experience with developing device drivers for bare-metal and/or OS applications. Experience leading engineering teams in delivering systems (of various size) involving the integration of hardware and 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 Offered Based On 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. Clearance Information: This position requires a 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 Information: This position is onsite at our campus in beautiful Tucson, AZ. Tucson has a friendly, caring, and laid-back atmosphere, combined with the innovation and energy of a metropolitan region, and recognized as one of America's 10 Best Small Cities. Surrounded by beautiful mountains, colorful Sonoran Desert landscape and majestic saguaro cacti, Tucson is blessed with some of nature's best work. Tucson is known for its bright blue skies, and with more than 310 sunny days per year, Tucson's fantastic weather lets residents enjoy the outdoors year-round. Virtual Fly Over City of Tucson & Community, YouTube Video Links "Raytheon In Tucson": ,-az-location "Tucson is Awesome": "Winter in Tucson": 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 107,500 USD - 204,500 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. . click apply for full job details
About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description Visa's Technology Organization is a community of problem solvers and innovators reshaping the future of commerce. We operate the world's most sophisticated processing networks capable of handling more than 65k secure transactions a second across 80M merchants, 15k Financial Institutions, and billions of everyday people. While working with us you'll get to work on complex distributed systems and solve massive scale problems centered on new payment flows, business and data solutions, cyber security, and B2C platforms. The Opportunity: We are looking for Versatile, curious, and energetic Software Engineers who embrace solving complex challenges on a global scale. As a Visa Software Engineer, you will be an integral part of a multi-functional development team inventing, designing, building, and testing software products that reach a truly global customer base. Join the Commercial and Money Movement Solutions (CMS) organization as a Senior Staff Engineer focused on leveraging AI to solve complex engineering and customer challenges. You will work on innovative solutions that combine deep technical expertise with AI/ML capabilities to enhance developer productivity, improve customer experiences, and drive next-generation commercial payment and money movement technology for B2B, B2C, P2P, and G2C flows. The Work itself: Design and architect AI-powered solutions that solve engineering productivity challenges and enhance customer-facing products across CMS Lead technical initiatives leveraging agentic AI, LLMs, and machine learning to automate workflows and improve software quality Collaborate multi-functionally to create design artifacts and develop best-in-class software solutions for multiple Visa technical offerings Drive experimentation with emerging AI technologies and make technical decisions on adoption and standards Develop robust and scalable products intended for a myriad of customers including end-user merchants, b2b, and business to government solutions. Develop scalable platforms and services that integrate AI capabilities into Visa's commercial payment and money movement systems Opportunities to make a difference on a global or local scale through mentorship and continued learning opportunities Essential Functions: Works directly with product owners to gather and refine requirements across products, adding and taking into account existing tools and solutions across the organization. Develops and designs advanced architect solutions that are robust and scalable, integrating AI capabilities with Visa's technical ecosystem Provides domain expertise on the development of technical documentation of solutions and contributes to standard processes in technical documentation as needed. Plays a key role in the development and delivery of new features across products from end-to-end. This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications • 8+ years of relevant work experience with a Bachelor's Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD, OR 11+ years of relevant work experience. Preferred Qualifications • 9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD • Master's degree in Math, Science, Engineering, Computer Science, Information Systems or related field AND minimum six (6) years of experience in a directly related field OR Bachelor's degree in Math, Science, Engineering, Computer Science, Information Systems or related field AND minimum eight (8) years of experience in a directly related field OR Minimum eleven (11) years of directly related experience • Experience with AI agent frameworks, LLMs, or generative AI applications (Claude, GPT, etc.) • Knowledge of AI-powered development tools (Claude Code, GitHub Copilot, etc.) or building similar systems • Experience applying AI to solve engineering challenges or customer-facing product features • Understanding of commercial payments, money movement, B2B payables, or payment processing • Experience with cloud platforms (AWS, Azure, GCP) and modern architectures • Knowledge of API design, microservices, and distributed systems • Experience leading cross-team technical initiatives The Skills You Bring • Energy and Experience: A growth mindset that is curious and passionate about technologies and enjoys challenging projects on a global scale • AI Expertise: Experience with agentic AI, LLMs, AI agent frameworks, or machine learning applications • Challenge the Status Quo: Comfort in pushing the boundaries, 'hacking' beyond traditional solutions • Language Expertise: Expertise in one or more general development languages (e.g., Java, C#, C++) • Architecture & Design: Proven track record designing scalable systems that integrate AI capabilities • Builder: Experience building AI-powered features for engineering productivity or customer-facing applications • Learner: Constant drive to learn new technologies such as Angular, React, Kubernetes, Docker, etc. • Partnership: Experience collaborating with Product, Test, Dev-ops, and Agile/Scrum teams • We do not expect that any single candidate would fulfill all of these characteristics. For instance, we have exciting team members who are really focused on building scalable systems but didn't work with payments technology or web applications before joining Visa. Information for US Applicants For roles located in the US, the estimated salary range for this position is $169,100.00 to $ 270,800.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.
09/25/2026
Full time
About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description Visa's Technology Organization is a community of problem solvers and innovators reshaping the future of commerce. We operate the world's most sophisticated processing networks capable of handling more than 65k secure transactions a second across 80M merchants, 15k Financial Institutions, and billions of everyday people. While working with us you'll get to work on complex distributed systems and solve massive scale problems centered on new payment flows, business and data solutions, cyber security, and B2C platforms. The Opportunity: We are looking for Versatile, curious, and energetic Software Engineers who embrace solving complex challenges on a global scale. As a Visa Software Engineer, you will be an integral part of a multi-functional development team inventing, designing, building, and testing software products that reach a truly global customer base. Join the Commercial and Money Movement Solutions (CMS) organization as a Senior Staff Engineer focused on leveraging AI to solve complex engineering and customer challenges. You will work on innovative solutions that combine deep technical expertise with AI/ML capabilities to enhance developer productivity, improve customer experiences, and drive next-generation commercial payment and money movement technology for B2B, B2C, P2P, and G2C flows. The Work itself: Design and architect AI-powered solutions that solve engineering productivity challenges and enhance customer-facing products across CMS Lead technical initiatives leveraging agentic AI, LLMs, and machine learning to automate workflows and improve software quality Collaborate multi-functionally to create design artifacts and develop best-in-class software solutions for multiple Visa technical offerings Drive experimentation with emerging AI technologies and make technical decisions on adoption and standards Develop robust and scalable products intended for a myriad of customers including end-user merchants, b2b, and business to government solutions. Develop scalable platforms and services that integrate AI capabilities into Visa's commercial payment and money movement systems Opportunities to make a difference on a global or local scale through mentorship and continued learning opportunities Essential Functions: Works directly with product owners to gather and refine requirements across products, adding and taking into account existing tools and solutions across the organization. Develops and designs advanced architect solutions that are robust and scalable, integrating AI capabilities with Visa's technical ecosystem Provides domain expertise on the development of technical documentation of solutions and contributes to standard processes in technical documentation as needed. Plays a key role in the development and delivery of new features across products from end-to-end. This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications • 8+ years of relevant work experience with a Bachelor's Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD, OR 11+ years of relevant work experience. Preferred Qualifications • 9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD • Master's degree in Math, Science, Engineering, Computer Science, Information Systems or related field AND minimum six (6) years of experience in a directly related field OR Bachelor's degree in Math, Science, Engineering, Computer Science, Information Systems or related field AND minimum eight (8) years of experience in a directly related field OR Minimum eleven (11) years of directly related experience • Experience with AI agent frameworks, LLMs, or generative AI applications (Claude, GPT, etc.) • Knowledge of AI-powered development tools (Claude Code, GitHub Copilot, etc.) or building similar systems • Experience applying AI to solve engineering challenges or customer-facing product features • Understanding of commercial payments, money movement, B2B payables, or payment processing • Experience with cloud platforms (AWS, Azure, GCP) and modern architectures • Knowledge of API design, microservices, and distributed systems • Experience leading cross-team technical initiatives The Skills You Bring • Energy and Experience: A growth mindset that is curious and passionate about technologies and enjoys challenging projects on a global scale • AI Expertise: Experience with agentic AI, LLMs, AI agent frameworks, or machine learning applications • Challenge the Status Quo: Comfort in pushing the boundaries, 'hacking' beyond traditional solutions • Language Expertise: Expertise in one or more general development languages (e.g., Java, C#, C++) • Architecture & Design: Proven track record designing scalable systems that integrate AI capabilities • Builder: Experience building AI-powered features for engineering productivity or customer-facing applications • Learner: Constant drive to learn new technologies such as Angular, React, Kubernetes, Docker, etc. • Partnership: Experience collaborating with Product, Test, Dev-ops, and Agile/Scrum teams • We do not expect that any single candidate would fulfill all of these characteristics. For instance, we have exciting team members who are really focused on building scalable systems but didn't work with payments technology or web applications before joining Visa. Information for US Applicants For roles located in the US, the estimated salary range for this position is $169,100.00 to $ 270,800.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.
As a Principal Member of Technical Staff, you will own the software design and development for major components of Oracle's Cloud Infrastructure. You should be both a rock-solid lead developer, curious problem solver, a distributed systems generalist and/or skilled Linux engineer with Systems triage experiance able to dive deep into any part of the stack and low-level systems to design broad distributed system interactions. You should value simplicity and scale, work comfortably in a collaborative, agile environment, and be excited to learn. This role resides within the Compute AI Infrastructure Bare Metal Provisioning team, which owns the critical infrastructure responsible for automating the full server lifecycle from new platform shape (AMD/Intel/Arm/Nvidia) creation, hardware bring-up to customer-ready instance provisioning and firmware management. The services operate at the intersection of bare metal hardware and full-stack orchestration frameworks, a unique combination where both distributed systems engineers and engineers with background in Linux and firmware are highly valued. The team interfaces directly with components like BMCs, NICs, SmartNICs, ILOMs, GPUs, and custom firmware stacks. The team builds high performance, scalable micro-services and tooling that provision, configure, secure, and validate server platforms across OCI's massive fleet of Compute and GPU Infrastructure. You will partner closely across other teams in Compute, Networking, Security, Data center Engineering, and Hardware Development to ensure OCI can launch, scale, and maintain new server platforms with minimal operational overhead and high reliability. You will work directly with cutting edge GPU hardware and see the direct impact of your work on the business. We strive for equity, inclusion, and respect for all. We are committed to the greater good in our products and our actions. We are constantly learning and taking opportunities to grow our careers and ourselves. We challenge each other to stretch beyond our past to build our future. You are the builder here. You will be part of a team of really smart, motivated, and diverse people and given the autonomy and support to do your best work. It is a dynamic and flexible workplace where you'll belong and be encouraged. If you are interested in building large-scale distributed infrastructure for the cloud, want to work on cutting edge GPU infrastructure and the latest Compute systems, have a knack for distributed systems and/or Linux development with Systems experiance then this is your team! Oracle is aggressively investing in the Oracle Cloud to provide the broadest, most comprehensive cloud in the industry. Responsibilities Job Responsibilities: You will own the software design and development for major components of Oracle's Cloud Infrastructure. You should be both a rock solid developer, driven problem solver and a distributed systems generalist and/or Linux developer with Systems experiance able to dive deep, design, develop, operate, and debug any part of the stack and low level systems such as Linux, Docker, Java web services and Terraform, as well as design broad distributed system interactions. You should have a tenacious attitude to improve the status quo, independently seek out problems to solve and take action to deliver results wherever needed. You should value simplicity and scale, work comfortably in a collaborative, agile environment, and be excited to learn. Qualifications: 6-10+ years experience delivering and operating large scale, highly available distributed systems, Linux development and Systems debugging. Strong knowledge of Object Oriented programming such as C++ or Java, and experience with scripting languages such as Python. Strong knowledge of data structures, algorithms, operating systems, and distributed systems fundamentals. Experience with tools such as Terraform for Infrastructure as Code. Working familiarity with networking protocols (TCP/IP, HTTP) and standard network architectures. Strong understanding of databases, NoSQL systems, storage and distributed persistence technologies. Strong troubleshooting and performance tuning skills. Experience building multi-tenant, virtualized infrastructure a strong plus. Qualifications Disclaimer: Certain U.S. based or U.S. customer or client-facing roles may be required to comply with applicable requirements, such as immunization/occupational health mandates, and/or drug testing requirements. Range and benefit information provided in this posting are specific to the stated locations only US: Hiring Range in USD from: $114,600 to $234,600 per annum. May be eligible for bonus, equity, and compensation deferral. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 9. 11 paid holidays 10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. 11. Paid parental leave 12. Adoption assistance 13. Employee Stock Purchase Plan 14. Financial planning and group legal 15. Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. As part of Oracle's onboarding process and consistent with applicable law, US-based employees are required to complete identity verification, which involves the collection and processing of their biometric information. Accommodations to this requirement may be granted following an individualized assessment. Only Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care. And with AI embedded across our products and services, we help customers turn that promise into a better future for all. Discover your potential at a company leading the way in AI and cloud solutions that impact billions of lives. True innovation starts when everyone is empowered to contribute. That's why we're committed to growing a workforce that promotes opportunities for all with competitive benefits that support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing or by calling 1- in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
09/25/2026
Full time
As a Principal Member of Technical Staff, you will own the software design and development for major components of Oracle's Cloud Infrastructure. You should be both a rock-solid lead developer, curious problem solver, a distributed systems generalist and/or skilled Linux engineer with Systems triage experiance able to dive deep into any part of the stack and low-level systems to design broad distributed system interactions. You should value simplicity and scale, work comfortably in a collaborative, agile environment, and be excited to learn. This role resides within the Compute AI Infrastructure Bare Metal Provisioning team, which owns the critical infrastructure responsible for automating the full server lifecycle from new platform shape (AMD/Intel/Arm/Nvidia) creation, hardware bring-up to customer-ready instance provisioning and firmware management. The services operate at the intersection of bare metal hardware and full-stack orchestration frameworks, a unique combination where both distributed systems engineers and engineers with background in Linux and firmware are highly valued. The team interfaces directly with components like BMCs, NICs, SmartNICs, ILOMs, GPUs, and custom firmware stacks. The team builds high performance, scalable micro-services and tooling that provision, configure, secure, and validate server platforms across OCI's massive fleet of Compute and GPU Infrastructure. You will partner closely across other teams in Compute, Networking, Security, Data center Engineering, and Hardware Development to ensure OCI can launch, scale, and maintain new server platforms with minimal operational overhead and high reliability. You will work directly with cutting edge GPU hardware and see the direct impact of your work on the business. We strive for equity, inclusion, and respect for all. We are committed to the greater good in our products and our actions. We are constantly learning and taking opportunities to grow our careers and ourselves. We challenge each other to stretch beyond our past to build our future. You are the builder here. You will be part of a team of really smart, motivated, and diverse people and given the autonomy and support to do your best work. It is a dynamic and flexible workplace where you'll belong and be encouraged. If you are interested in building large-scale distributed infrastructure for the cloud, want to work on cutting edge GPU infrastructure and the latest Compute systems, have a knack for distributed systems and/or Linux development with Systems experiance then this is your team! Oracle is aggressively investing in the Oracle Cloud to provide the broadest, most comprehensive cloud in the industry. Responsibilities Job Responsibilities: You will own the software design and development for major components of Oracle's Cloud Infrastructure. You should be both a rock solid developer, driven problem solver and a distributed systems generalist and/or Linux developer with Systems experiance able to dive deep, design, develop, operate, and debug any part of the stack and low level systems such as Linux, Docker, Java web services and Terraform, as well as design broad distributed system interactions. You should have a tenacious attitude to improve the status quo, independently seek out problems to solve and take action to deliver results wherever needed. You should value simplicity and scale, work comfortably in a collaborative, agile environment, and be excited to learn. Qualifications: 6-10+ years experience delivering and operating large scale, highly available distributed systems, Linux development and Systems debugging. Strong knowledge of Object Oriented programming such as C++ or Java, and experience with scripting languages such as Python. Strong knowledge of data structures, algorithms, operating systems, and distributed systems fundamentals. Experience with tools such as Terraform for Infrastructure as Code. Working familiarity with networking protocols (TCP/IP, HTTP) and standard network architectures. Strong understanding of databases, NoSQL systems, storage and distributed persistence technologies. Strong troubleshooting and performance tuning skills. Experience building multi-tenant, virtualized infrastructure a strong plus. Qualifications Disclaimer: Certain U.S. based or U.S. customer or client-facing roles may be required to comply with applicable requirements, such as immunization/occupational health mandates, and/or drug testing requirements. Range and benefit information provided in this posting are specific to the stated locations only US: Hiring Range in USD from: $114,600 to $234,600 per annum. May be eligible for bonus, equity, and compensation deferral. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 9. 11 paid holidays 10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. 11. Paid parental leave 12. Adoption assistance 13. Employee Stock Purchase Plan 14. Financial planning and group legal 15. Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. As part of Oracle's onboarding process and consistent with applicable law, US-based employees are required to complete identity verification, which involves the collection and processing of their biometric information. Accommodations to this requirement may be granted following an individualized assessment. Only Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care. And with AI embedded across our products and services, we help customers turn that promise into a better future for all. Discover your potential at a company leading the way in AI and cloud solutions that impact billions of lives. True innovation starts when everyone is empowered to contribute. That's why we're committed to growing a workforce that promotes opportunities for all with competitive benefits that support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing or by calling 1- in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
Work Location Type: Remote Req Number 329896 About Grainger W.W. Grainger, Inc., is a leading broad line distributor with operations primarily in North America, Japan and the United Kingdom. At Grainger, We Keep the World Working by serving more than 4.5 million customers worldwide with products and solutions delivered through innovative technology and deep customer relationships. Known for its commitment to service and award-winning culture, the Company had 2024 revenue of $17.2 billion across its two business models. In the High-Touch Solutions segment, Grainger offers approximately 2 million maintenance, repair and operating (MRO) products and services, including technical support and inventory management. In the Endless Assortment segment, offers customers access to more than 14 million products, and offers more than 24 million products. For more information, visit . Compensation The anticipated base pay compensation range for this position is $124,200.00 - $207,000.00. This role is eligible for an incentive target of up to 15 % or $ , based on the achievement of individual and company performance objectives in accordance with the current terms of the incentive program which are subject to change. Rewards and Benefits With benefits starting on day one, our programs provide choice and flexibility to meet team members' individual needs, including: Medical, dental, vision, and life insurance plans with coverage starting on day one of employment and 6 free sessions each year with a licensed therapist to support your emotional wellbeing. 23 paid time off (PTO) days annually for full-time employees (accrual prorated based on employment start date) and 6 company holidays per year. 6% company contribution to a 401(k) Retirement Savings Plan each pay period, no employee contribution required. Employee discounts, tuition reimbursement, student loan refinancing and free access to financial counseling, education, and tools. Maternity support programs, nursing benefits, and up to 14 weeks paid leave for birth parents and up to 4 weeks paid leave for non-birth parents. For additional information and details regarding Grainger's benefits, please click on the link below: Grainger Benefits The pay range provided above is not a guarantee of compensation. The range reflects the potential base pay for this role at the time of this posting based on the job grade for this position. Individual base pay compensation will depend, in part, on factors such as geographic work location and relevant experience and skills. The anticipated compensation range described above is subject to change and the compensation ultimately paid may be higher or lower than the range described above. Grainger reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion at any time, consistent with applicable law. Position Details: As a Lead Software Engineer (Software Engineer IV) you will develop applications that align with a strategic vision. In addition to coaching engineers, you will partner with key stakeholders including Product Managers and Architecture. You will embrace curiosity to ensure a deep understanding of the business requirements that drive the analysis and physical design of technical solutions. Within the Customer Order domain, you will play a pivotal role in shaping the user experience and building scalable, high-performance applications that enhance customer notifications into their order lifecycle. You'll partner with cross-functional stakeholders to build, evolve, and modernize Grainger's digital experience with a focus on quality, performance, and maintainability. This is a hands-on role requiring deep expertise with AWS (Simple Email Service, SQS, SNS, Lambda), Kafka, MongoDB, Kotlin or Java, Kubernetes, Datadog - combined with strong emphasis on technical leadership, mentoring, and collaboration skills. You Will: Lead engineer on a team responsible for the application and delivery of high-quality, maintainable software for highly complex applications Own engineering culture within the team championing sensible defaults to enable continuous delivery activities Contribute to continuous learning on your team culture by leading knowledge sharing sessions with latest technological features and engineering practices Maintain software in production with demonstrated ability to triage and resolve issues Mentor developers, conduct code reviews, and participate in pair programming. Advocate for and implement engineering best practices including component reusability, modularity, separation of concerns, and performance optimzation Drive complex technical initiatives in partnership with Architects Partners directly with IT Management team to ensure successful design and delivery of technology based solutions Drive continuous delivery practices improving CI/CD pipelines, test strategies, and build automation You Have: Bachelor's Degree or equivalent experience in computer science or similar; or equivalent experience required 5+ years experience as a Software Engineer; with experience in modern software engineering; designing; developing, testing and deploying scalable software applications within a variety of technologies and environments required Expert knowledge of programming skills; JVM, Kotlin, Typescript, React, or similar languages Strong focus on backend with working knowledge of front end Demonstrated knowledge of distributed system design and integration patterns (Kafka) Understanding of event driven data streaming architectures Familiarity with Agile/Scrum methodologies and Dev Ops Practices Experience with analyzing, interpreting and communicating complex problems and practices Demonstrated success in leading the evolution of monoliths to microservices and shaping cross-team technical strategies. Familiarity with backend-for-frontend (BFF) concepts or partnering with Node.js backend APIs preferred We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, protected veteran status or any other protected characteristic under federal, state, or local law. We are proud to be an equal opportunity workplace. We are committed to fostering an inclusive, accessible work environment that includes both providing reasonable accommodations to individuals with disabilities during the application and hiring process as well as throughout the course of one's employment, should you need a reasonable accommodation during the application and selection process, including, but not limited to use of our website, any part of the application, interview or hiring process, please advise us so that we can provide appropriate assistance.
09/25/2026
Full time
Work Location Type: Remote Req Number 329896 About Grainger W.W. Grainger, Inc., is a leading broad line distributor with operations primarily in North America, Japan and the United Kingdom. At Grainger, We Keep the World Working by serving more than 4.5 million customers worldwide with products and solutions delivered through innovative technology and deep customer relationships. Known for its commitment to service and award-winning culture, the Company had 2024 revenue of $17.2 billion across its two business models. In the High-Touch Solutions segment, Grainger offers approximately 2 million maintenance, repair and operating (MRO) products and services, including technical support and inventory management. In the Endless Assortment segment, offers customers access to more than 14 million products, and offers more than 24 million products. For more information, visit . Compensation The anticipated base pay compensation range for this position is $124,200.00 - $207,000.00. This role is eligible for an incentive target of up to 15 % or $ , based on the achievement of individual and company performance objectives in accordance with the current terms of the incentive program which are subject to change. Rewards and Benefits With benefits starting on day one, our programs provide choice and flexibility to meet team members' individual needs, including: Medical, dental, vision, and life insurance plans with coverage starting on day one of employment and 6 free sessions each year with a licensed therapist to support your emotional wellbeing. 23 paid time off (PTO) days annually for full-time employees (accrual prorated based on employment start date) and 6 company holidays per year. 6% company contribution to a 401(k) Retirement Savings Plan each pay period, no employee contribution required. Employee discounts, tuition reimbursement, student loan refinancing and free access to financial counseling, education, and tools. Maternity support programs, nursing benefits, and up to 14 weeks paid leave for birth parents and up to 4 weeks paid leave for non-birth parents. For additional information and details regarding Grainger's benefits, please click on the link below: Grainger Benefits The pay range provided above is not a guarantee of compensation. The range reflects the potential base pay for this role at the time of this posting based on the job grade for this position. Individual base pay compensation will depend, in part, on factors such as geographic work location and relevant experience and skills. The anticipated compensation range described above is subject to change and the compensation ultimately paid may be higher or lower than the range described above. Grainger reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion at any time, consistent with applicable law. Position Details: As a Lead Software Engineer (Software Engineer IV) you will develop applications that align with a strategic vision. In addition to coaching engineers, you will partner with key stakeholders including Product Managers and Architecture. You will embrace curiosity to ensure a deep understanding of the business requirements that drive the analysis and physical design of technical solutions. Within the Customer Order domain, you will play a pivotal role in shaping the user experience and building scalable, high-performance applications that enhance customer notifications into their order lifecycle. You'll partner with cross-functional stakeholders to build, evolve, and modernize Grainger's digital experience with a focus on quality, performance, and maintainability. This is a hands-on role requiring deep expertise with AWS (Simple Email Service, SQS, SNS, Lambda), Kafka, MongoDB, Kotlin or Java, Kubernetes, Datadog - combined with strong emphasis on technical leadership, mentoring, and collaboration skills. You Will: Lead engineer on a team responsible for the application and delivery of high-quality, maintainable software for highly complex applications Own engineering culture within the team championing sensible defaults to enable continuous delivery activities Contribute to continuous learning on your team culture by leading knowledge sharing sessions with latest technological features and engineering practices Maintain software in production with demonstrated ability to triage and resolve issues Mentor developers, conduct code reviews, and participate in pair programming. Advocate for and implement engineering best practices including component reusability, modularity, separation of concerns, and performance optimzation Drive complex technical initiatives in partnership with Architects Partners directly with IT Management team to ensure successful design and delivery of technology based solutions Drive continuous delivery practices improving CI/CD pipelines, test strategies, and build automation You Have: Bachelor's Degree or equivalent experience in computer science or similar; or equivalent experience required 5+ years experience as a Software Engineer; with experience in modern software engineering; designing; developing, testing and deploying scalable software applications within a variety of technologies and environments required Expert knowledge of programming skills; JVM, Kotlin, Typescript, React, or similar languages Strong focus on backend with working knowledge of front end Demonstrated knowledge of distributed system design and integration patterns (Kafka) Understanding of event driven data streaming architectures Familiarity with Agile/Scrum methodologies and Dev Ops Practices Experience with analyzing, interpreting and communicating complex problems and practices Demonstrated success in leading the evolution of monoliths to microservices and shaping cross-team technical strategies. Familiarity with backend-for-frontend (BFF) concepts or partnering with Node.js backend APIs preferred We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, protected veteran status or any other protected characteristic under federal, state, or local law. We are proud to be an equal opportunity workplace. We are committed to fostering an inclusive, accessible work environment that includes both providing reasonable accommodations to individuals with disabilities during the application and hiring process as well as throughout the course of one's employment, should you need a reasonable accommodation during the application and selection process, including, but not limited to use of our website, any part of the application, interview or hiring process, please advise us so that we can provide appropriate assistance.
Quick Position Facts! Location: Virginia Beach, Virginia at our G2 Ops office. Work Setting: In-Office with Hybrid or Flexible Schedule Available Based on Program Requirements Salary Range: $140,000 - $165,000 plus comprehensive benefits package. Years of Industry Experience: 10 + years of relevant experience. Security Clearance Requirement: Active DoD Secret clearance required at start, with the ability to obtain and maintain a DoD Top Secret clearance after starting. About the Role. As a Principal Software Engineer , you'll shape the technical direction of software capabilities supporting the AEGIS portfolio and Department of Defense missions. You'll serve as the senior software engineering lead across a portfolio of cybersecurity and digital engineering applications, with primary responsibility for the continued development and evolution of the SOFIA Cyber Analytics Platform and technical oversight of MONARCH, SMART, and related capabilities. This is a hands-on technical leadership role for an experienced software engineer who enjoys solving complex problems, setting technical direction, and mentoring other engineers. You'll work closely with software, cybersecurity, and systems engineers, program leadership, and customers to turn complex mission needs into secure, scalable, and maintainable software solutions. What You'll Do Lead the technical direction of SOFIA, MONARCH, SMART, and related software capabilities supporting the AEGIS portfolio. Own software architecture and guide the design, development, integration, deployment, and continued evolution of mission-focused applications. Provide hands-on technical leadership to the SOFIA development team, guiding technical planning, development priorities, design decisions, code quality, and engineering execution. Establish and promote software engineering standards and best practices across front-end and back-end development, APIs, databases, analytics, cloud integration, and plugin development. Translate user and mission needs into software architectures, technical requirements, development priorities, and executable solutions. Guide development of capabilities supporting cyber analytics, vulnerability and reachability analysis, mission impact assessment, data visualization, digital engineering, and decision support. Review software designs and source code, troubleshoot complex technical challenges, and mentor engineers through architecture reviews, code reviews, and technical planning. Advance modern development practices, including Agile, DevOps/DevSecOps, CI/CD, automated testing, configuration management, and secure software development. Evaluate emerging technologies, including AI, advanced analytics, cloud services, and modern software frameworks, and apply them where they provide meaningful value. Collaborate across engineering disciplines and with program leadership and customer stakeholders to support technical demonstrations, customer engagements, technical planning, proposals, and R&D efforts. What You'll Bring Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, or a related technical discipline; Master's degree preferred. 10+ years of professional software engineering experience, including designing, developing, enhancing, and sustaining software applications. Experience serving as a Lead Software Engineer, Principal Software Engineer, Software Architect, Technical Lead, or similar technical leadership role. Strong programming foundation with professional development experience in one or more modern programming languages. Experience with modern web applications, distributed systems, APIs, databases, cloud technologies, and data-driven software solutions. Strong understanding of software architecture and secure software development, with the ability to review designs and source code, troubleshoot complex issues, and provide technical direction to other engineers. Experience applying Agile and DevOps/DevSecOps practices, including CI/CD and modern software delivery approaches. Strong communication skills with the ability to lead technical discussions across multidisciplinary engineering teams, program leadership, and customer stakeholders. Experience supporting Department of Defense or Federal Government software development programs preferred. Experience with cybersecurity analytics, digital engineering, MBSE, system-of-systems environments, AI/advanced analytics, or mission-focused engineering applications preferred. Certified Scrum Developer, Agile Developer, comparable software development certification, and/or CompTIA Security+ preferred. Additional Considerations This is a full-time position supporting mission-focused customer environments. Outside employment or activities must not create conflicts of interest with company or customer responsibilities Why G2 Ops? What makes someone choose one company over another? Compensation, benefits, meaningful work, flexibility, growth opportunities, culture? At G2 Ops, we believe you shouldn't have to choose. We offer competitive pay and benefits, but what truly sets us apart is our collaborative culture. Team members support mission-focused projects alongside highly skilled technical professionals across engineering, cybersecurity, operations, and program teams. We encourage continuous learning, cross-training, and professional growth while empowering team members to contribute ideas that improve how we work and deliver value to our customers. At G2 Ops, your contributions matter to our customers' missions and to the continued success of our team. Compensation & Benefits. The annual salary range for this position is $140,000 - $165,000, depending on qualifications and experience. G2 Ops offers a competitive compensation and benefits package designed to support our employees both personally and professionally, including: 100% company-paid insurance for medical, dental, and vision for eligible employees and family members 100% company-paid insurance for life, short-term disability (STD), and long-term disability (LTD) for eligible employees 401(k) plan with discretionary employer matching 10 paid holidays Paid time off (PTO) Educational assistance In addition, we provide professional development opportunities, performance recognition programs, and resources that support long-term career growth and work-life balance. AI at G2 Ops. At G2 Ops, we don't just talk about AI - we actively use it to improve how we work. Our teams are integrating AI into engineering, cybersecurity, operations, and decision-making workflows. We continue to invest in secure AI tooling aligned with government security requirements while developing practical, mission-focused applications across the company. Whether your role is technical or operational, you'll have opportunities to explore how AI can enhance efficiency, innovation, and mission impact. Work Environment. Because we support classified and mission-critical DoD programs, many roles require onsite collaboration at G2 Ops offices and/or customer locations. Depending on program requirements, telework and flexible scheduling options may be available. We've built a collaborative environment where team members can learn, contribute, and grow while supporting meaningful customer missions. Ready to Apply? If you're excited about solving meaningful problems, working alongside talented teammates, and contributing to important mission-focused work, we'd love to hear from you. We look forward to learning more about you! About G2 Ops, Inc. (G2 Ops) G2 Ops leverages over a decade of experience integrating Systems, Cybersecurity, and Software Engineering techniques to provide solutions to a growing list of Government and private customers. We combine cutting edge tools with innovative engineering practices, data analytics, and risk algorithms that enhance visibility into complex infrastructures, optimizing resiliency in system design and operations. G2 Ops is a woman-owned small business led by an executive staff known for providing innovative solutions to solve our nation's most complex engineering challenges. G2 Ops has been named to the Inc. 5000 list of America's fastest growing companies each of the last 9 years () and has locations in Arlington, VA, Virginia Beach, VA, and San Diego, CA. G2 Ops, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. G2 Ops, Inc. participates in the E-Verify program. Employment is contingent upon verification of identity and authorization to work in the United States. Applicants have rights under Federal Employment Laws: E-Verify Participation and Right to Work Notices:
09/25/2026
Full time
Quick Position Facts! Location: Virginia Beach, Virginia at our G2 Ops office. Work Setting: In-Office with Hybrid or Flexible Schedule Available Based on Program Requirements Salary Range: $140,000 - $165,000 plus comprehensive benefits package. Years of Industry Experience: 10 + years of relevant experience. Security Clearance Requirement: Active DoD Secret clearance required at start, with the ability to obtain and maintain a DoD Top Secret clearance after starting. About the Role. As a Principal Software Engineer , you'll shape the technical direction of software capabilities supporting the AEGIS portfolio and Department of Defense missions. You'll serve as the senior software engineering lead across a portfolio of cybersecurity and digital engineering applications, with primary responsibility for the continued development and evolution of the SOFIA Cyber Analytics Platform and technical oversight of MONARCH, SMART, and related capabilities. This is a hands-on technical leadership role for an experienced software engineer who enjoys solving complex problems, setting technical direction, and mentoring other engineers. You'll work closely with software, cybersecurity, and systems engineers, program leadership, and customers to turn complex mission needs into secure, scalable, and maintainable software solutions. What You'll Do Lead the technical direction of SOFIA, MONARCH, SMART, and related software capabilities supporting the AEGIS portfolio. Own software architecture and guide the design, development, integration, deployment, and continued evolution of mission-focused applications. Provide hands-on technical leadership to the SOFIA development team, guiding technical planning, development priorities, design decisions, code quality, and engineering execution. Establish and promote software engineering standards and best practices across front-end and back-end development, APIs, databases, analytics, cloud integration, and plugin development. Translate user and mission needs into software architectures, technical requirements, development priorities, and executable solutions. Guide development of capabilities supporting cyber analytics, vulnerability and reachability analysis, mission impact assessment, data visualization, digital engineering, and decision support. Review software designs and source code, troubleshoot complex technical challenges, and mentor engineers through architecture reviews, code reviews, and technical planning. Advance modern development practices, including Agile, DevOps/DevSecOps, CI/CD, automated testing, configuration management, and secure software development. Evaluate emerging technologies, including AI, advanced analytics, cloud services, and modern software frameworks, and apply them where they provide meaningful value. Collaborate across engineering disciplines and with program leadership and customer stakeholders to support technical demonstrations, customer engagements, technical planning, proposals, and R&D efforts. What You'll Bring Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, or a related technical discipline; Master's degree preferred. 10+ years of professional software engineering experience, including designing, developing, enhancing, and sustaining software applications. Experience serving as a Lead Software Engineer, Principal Software Engineer, Software Architect, Technical Lead, or similar technical leadership role. Strong programming foundation with professional development experience in one or more modern programming languages. Experience with modern web applications, distributed systems, APIs, databases, cloud technologies, and data-driven software solutions. Strong understanding of software architecture and secure software development, with the ability to review designs and source code, troubleshoot complex issues, and provide technical direction to other engineers. Experience applying Agile and DevOps/DevSecOps practices, including CI/CD and modern software delivery approaches. Strong communication skills with the ability to lead technical discussions across multidisciplinary engineering teams, program leadership, and customer stakeholders. Experience supporting Department of Defense or Federal Government software development programs preferred. Experience with cybersecurity analytics, digital engineering, MBSE, system-of-systems environments, AI/advanced analytics, or mission-focused engineering applications preferred. Certified Scrum Developer, Agile Developer, comparable software development certification, and/or CompTIA Security+ preferred. Additional Considerations This is a full-time position supporting mission-focused customer environments. Outside employment or activities must not create conflicts of interest with company or customer responsibilities Why G2 Ops? What makes someone choose one company over another? Compensation, benefits, meaningful work, flexibility, growth opportunities, culture? At G2 Ops, we believe you shouldn't have to choose. We offer competitive pay and benefits, but what truly sets us apart is our collaborative culture. Team members support mission-focused projects alongside highly skilled technical professionals across engineering, cybersecurity, operations, and program teams. We encourage continuous learning, cross-training, and professional growth while empowering team members to contribute ideas that improve how we work and deliver value to our customers. At G2 Ops, your contributions matter to our customers' missions and to the continued success of our team. Compensation & Benefits. The annual salary range for this position is $140,000 - $165,000, depending on qualifications and experience. G2 Ops offers a competitive compensation and benefits package designed to support our employees both personally and professionally, including: 100% company-paid insurance for medical, dental, and vision for eligible employees and family members 100% company-paid insurance for life, short-term disability (STD), and long-term disability (LTD) for eligible employees 401(k) plan with discretionary employer matching 10 paid holidays Paid time off (PTO) Educational assistance In addition, we provide professional development opportunities, performance recognition programs, and resources that support long-term career growth and work-life balance. AI at G2 Ops. At G2 Ops, we don't just talk about AI - we actively use it to improve how we work. Our teams are integrating AI into engineering, cybersecurity, operations, and decision-making workflows. We continue to invest in secure AI tooling aligned with government security requirements while developing practical, mission-focused applications across the company. Whether your role is technical or operational, you'll have opportunities to explore how AI can enhance efficiency, innovation, and mission impact. Work Environment. Because we support classified and mission-critical DoD programs, many roles require onsite collaboration at G2 Ops offices and/or customer locations. Depending on program requirements, telework and flexible scheduling options may be available. We've built a collaborative environment where team members can learn, contribute, and grow while supporting meaningful customer missions. Ready to Apply? If you're excited about solving meaningful problems, working alongside talented teammates, and contributing to important mission-focused work, we'd love to hear from you. We look forward to learning more about you! About G2 Ops, Inc. (G2 Ops) G2 Ops leverages over a decade of experience integrating Systems, Cybersecurity, and Software Engineering techniques to provide solutions to a growing list of Government and private customers. We combine cutting edge tools with innovative engineering practices, data analytics, and risk algorithms that enhance visibility into complex infrastructures, optimizing resiliency in system design and operations. G2 Ops is a woman-owned small business led by an executive staff known for providing innovative solutions to solve our nation's most complex engineering challenges. G2 Ops has been named to the Inc. 5000 list of America's fastest growing companies each of the last 9 years () and has locations in Arlington, VA, Virginia Beach, VA, and San Diego, CA. G2 Ops, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. G2 Ops, Inc. participates in the E-Verify program. Employment is contingent upon verification of identity and authorization to work in the United States. Applicants have rights under Federal Employment Laws: E-Verify Participation and Right to Work Notices:
Quick Position Facts! Location: Arlington, Virginia at our G2 Ops office. Work Setting: In-Office with Hybrid or Flexible Schedule Available Based on Program Requirements Salary Range: $145,000 - $170,000 plus comprehensive benefits package. Years of Industry Experience: 10 + years of relevant experience. Security Clearance Requirement: Active DoD Secret clearance required at start, with the ability to obtain and maintain a DoD Top Secret clearance after starting. About the Role. As a Principal Software Engineer , you'll shape the technical direction of software capabilities supporting the AEGIS portfolio and Department of Defense missions. You'll serve as the senior software engineering lead across a portfolio of cybersecurity and digital engineering applications, with primary responsibility for the continued development and evolution of the SOFIA Cyber Analytics Platform and technical oversight of MONARCH, SMART, and related capabilities. This is a hands-on technical leadership role for an experienced software engineer who enjoys solving complex problems, setting technical direction, and mentoring other engineers. You'll work closely with software, cybersecurity, and systems engineers, program leadership, and customers to turn complex mission needs into secure, scalable, and maintainable software solutions. What You'll Do Lead the technical direction of SOFIA, MONARCH, SMART, and related software capabilities supporting the AEGIS portfolio. Own software architecture and guide the design, development, integration, deployment, and continued evolution of mission-focused applications. Provide hands-on technical leadership to the SOFIA development team, guiding technical planning, development priorities, design decisions, code quality, and engineering execution. Establish and promote software engineering standards and best practices across front-end and back-end development, APIs, databases, analytics, cloud integration, and plugin development. Translate user and mission needs into software architectures, technical requirements, development priorities, and executable solutions. Guide development of capabilities supporting cyber analytics, vulnerability and reachability analysis, mission impact assessment, data visualization, digital engineering, and decision support. Review software designs and source code, troubleshoot complex technical challenges, and mentor engineers through architecture reviews, code reviews, and technical planning. Advance modern development practices, including Agile, DevOps/DevSecOps, CI/CD, automated testing, configuration management, and secure software development. Evaluate emerging technologies, including AI, advanced analytics, cloud services, and modern software frameworks, and apply them where they provide meaningful value. Collaborate across engineering disciplines and with program leadership and customer stakeholders to support technical demonstrations, customer engagements, technical planning, proposals, and R&D efforts. What You'll Bring Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, or a related technical discipline; Master's degree preferred. 10+ years of professional software engineering experience, including designing, developing, enhancing, and sustaining software applications. Experience serving as a Lead Software Engineer, Principal Software Engineer, Software Architect, Technical Lead, or similar technical leadership role. Strong programming foundation with professional development experience in one or more modern programming languages. Experience with modern web applications, distributed systems, APIs, databases, cloud technologies, and data-driven software solutions. Strong understanding of software architecture and secure software development, with the ability to review designs and source code, troubleshoot complex issues, and provide technical direction to other engineers. Experience applying Agile and DevOps/DevSecOps practices, including CI/CD and modern software delivery approaches. Strong communication skills with the ability to lead technical discussions across multidisciplinary engineering teams, program leadership, and customer stakeholders. Experience supporting Department of Defense or Federal Government software development programs preferred. Experience with cybersecurity analytics, digital engineering, MBSE, system-of-systems environments, AI/advanced analytics, or mission-focused engineering applications preferred. Certified Scrum Developer, Agile Developer, comparable software development certification, and/or CompTIA Security+ preferred. Additional Considerations This is a full-time position supporting mission-focused customer environments. Outside employment or activities must not create conflicts of interest with company or customer responsibilities Why G2 Ops? What makes someone choose one company over another? Compensation, benefits, meaningful work, flexibility, growth opportunities, culture? At G2 Ops, we believe you shouldn't have to choose. We offer competitive pay and benefits, but what truly sets us apart is our collaborative culture. Team members support mission-focused projects alongside highly skilled technical professionals across engineering, cybersecurity, operations, and program teams. We encourage continuous learning, cross-training, and professional growth while empowering team members to contribute ideas that improve how we work and deliver value to our customers. At G2 Ops, your contributions matter to our customers' missions and to the continued success of our team. Compensation & Benefits. The annual salary range for this position is $145,000 - $170,000, depending on qualifications and experience. G2 Ops offers a competitive compensation and benefits package designed to support our employees both personally and professionally, including: 100% company-paid insurance for medical, dental, and vision for eligible employees and family members 100% company-paid insurance for life, short-term disability (STD), and long-term disability (LTD) for eligible employees 401(k) plan with discretionary employer matching 10 paid holidays Paid time off (PTO) Educational assistance In addition, we provide professional development opportunities, performance recognition programs, and resources that support long-term career growth and work-life balance. AI at G2 Ops. At G2 Ops, we don't just talk about AI - we actively use it to improve how we work. Our teams are integrating AI into engineering, cybersecurity, operations, and decision-making workflows. We continue to invest in secure AI tooling aligned with government security requirements while developing practical, mission-focused applications across the company. Whether your role is technical or operational, you'll have opportunities to explore how AI can enhance efficiency, innovation, and mission impact. Work Environment. Because we support classified and mission-critical DoD programs, many roles require onsite collaboration at G2 Ops offices and/or customer locations. Depending on program requirements, telework and flexible scheduling options may be available. We've built a collaborative environment where team members can learn, contribute, and grow while supporting meaningful customer missions. Ready to Apply? If you're excited about solving meaningful problems, working alongside talented teammates, and contributing to important mission-focused work, we'd love to hear from you. We look forward to learning more about you! About G2 Ops, Inc. (G2 Ops) G2 Ops leverages over a decade of experience integrating Systems, Cybersecurity, and Software Engineering techniques to provide solutions to a growing list of Government and private customers. We combine cutting edge tools with innovative engineering practices, data analytics, and risk algorithms that enhance visibility into complex infrastructures, optimizing resiliency in system design and operations. G2 Ops is a woman-owned small business led by an executive staff known for providing innovative solutions to solve our nation's most complex engineering challenges. G2 Ops has been named to the Inc. 5000 list of America's fastest growing companies each of the last 9 years () and has locations in Arlington, VA, Virginia Beach, VA, and San Diego, CA. G2 Ops, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. G2 Ops, Inc. participates in the E-Verify program. Employment is contingent upon verification of identity and authorization to work in the United States. Applicants have rights under Federal Employment Laws: E-Verify Participation and Right to Work Notices:
09/25/2026
Full time
Quick Position Facts! Location: Arlington, Virginia at our G2 Ops office. Work Setting: In-Office with Hybrid or Flexible Schedule Available Based on Program Requirements Salary Range: $145,000 - $170,000 plus comprehensive benefits package. Years of Industry Experience: 10 + years of relevant experience. Security Clearance Requirement: Active DoD Secret clearance required at start, with the ability to obtain and maintain a DoD Top Secret clearance after starting. About the Role. As a Principal Software Engineer , you'll shape the technical direction of software capabilities supporting the AEGIS portfolio and Department of Defense missions. You'll serve as the senior software engineering lead across a portfolio of cybersecurity and digital engineering applications, with primary responsibility for the continued development and evolution of the SOFIA Cyber Analytics Platform and technical oversight of MONARCH, SMART, and related capabilities. This is a hands-on technical leadership role for an experienced software engineer who enjoys solving complex problems, setting technical direction, and mentoring other engineers. You'll work closely with software, cybersecurity, and systems engineers, program leadership, and customers to turn complex mission needs into secure, scalable, and maintainable software solutions. What You'll Do Lead the technical direction of SOFIA, MONARCH, SMART, and related software capabilities supporting the AEGIS portfolio. Own software architecture and guide the design, development, integration, deployment, and continued evolution of mission-focused applications. Provide hands-on technical leadership to the SOFIA development team, guiding technical planning, development priorities, design decisions, code quality, and engineering execution. Establish and promote software engineering standards and best practices across front-end and back-end development, APIs, databases, analytics, cloud integration, and plugin development. Translate user and mission needs into software architectures, technical requirements, development priorities, and executable solutions. Guide development of capabilities supporting cyber analytics, vulnerability and reachability analysis, mission impact assessment, data visualization, digital engineering, and decision support. Review software designs and source code, troubleshoot complex technical challenges, and mentor engineers through architecture reviews, code reviews, and technical planning. Advance modern development practices, including Agile, DevOps/DevSecOps, CI/CD, automated testing, configuration management, and secure software development. Evaluate emerging technologies, including AI, advanced analytics, cloud services, and modern software frameworks, and apply them where they provide meaningful value. Collaborate across engineering disciplines and with program leadership and customer stakeholders to support technical demonstrations, customer engagements, technical planning, proposals, and R&D efforts. What You'll Bring Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, or a related technical discipline; Master's degree preferred. 10+ years of professional software engineering experience, including designing, developing, enhancing, and sustaining software applications. Experience serving as a Lead Software Engineer, Principal Software Engineer, Software Architect, Technical Lead, or similar technical leadership role. Strong programming foundation with professional development experience in one or more modern programming languages. Experience with modern web applications, distributed systems, APIs, databases, cloud technologies, and data-driven software solutions. Strong understanding of software architecture and secure software development, with the ability to review designs and source code, troubleshoot complex issues, and provide technical direction to other engineers. Experience applying Agile and DevOps/DevSecOps practices, including CI/CD and modern software delivery approaches. Strong communication skills with the ability to lead technical discussions across multidisciplinary engineering teams, program leadership, and customer stakeholders. Experience supporting Department of Defense or Federal Government software development programs preferred. Experience with cybersecurity analytics, digital engineering, MBSE, system-of-systems environments, AI/advanced analytics, or mission-focused engineering applications preferred. Certified Scrum Developer, Agile Developer, comparable software development certification, and/or CompTIA Security+ preferred. Additional Considerations This is a full-time position supporting mission-focused customer environments. Outside employment or activities must not create conflicts of interest with company or customer responsibilities Why G2 Ops? What makes someone choose one company over another? Compensation, benefits, meaningful work, flexibility, growth opportunities, culture? At G2 Ops, we believe you shouldn't have to choose. We offer competitive pay and benefits, but what truly sets us apart is our collaborative culture. Team members support mission-focused projects alongside highly skilled technical professionals across engineering, cybersecurity, operations, and program teams. We encourage continuous learning, cross-training, and professional growth while empowering team members to contribute ideas that improve how we work and deliver value to our customers. At G2 Ops, your contributions matter to our customers' missions and to the continued success of our team. Compensation & Benefits. The annual salary range for this position is $145,000 - $170,000, depending on qualifications and experience. G2 Ops offers a competitive compensation and benefits package designed to support our employees both personally and professionally, including: 100% company-paid insurance for medical, dental, and vision for eligible employees and family members 100% company-paid insurance for life, short-term disability (STD), and long-term disability (LTD) for eligible employees 401(k) plan with discretionary employer matching 10 paid holidays Paid time off (PTO) Educational assistance In addition, we provide professional development opportunities, performance recognition programs, and resources that support long-term career growth and work-life balance. AI at G2 Ops. At G2 Ops, we don't just talk about AI - we actively use it to improve how we work. Our teams are integrating AI into engineering, cybersecurity, operations, and decision-making workflows. We continue to invest in secure AI tooling aligned with government security requirements while developing practical, mission-focused applications across the company. Whether your role is technical or operational, you'll have opportunities to explore how AI can enhance efficiency, innovation, and mission impact. Work Environment. Because we support classified and mission-critical DoD programs, many roles require onsite collaboration at G2 Ops offices and/or customer locations. Depending on program requirements, telework and flexible scheduling options may be available. We've built a collaborative environment where team members can learn, contribute, and grow while supporting meaningful customer missions. Ready to Apply? If you're excited about solving meaningful problems, working alongside talented teammates, and contributing to important mission-focused work, we'd love to hear from you. We look forward to learning more about you! About G2 Ops, Inc. (G2 Ops) G2 Ops leverages over a decade of experience integrating Systems, Cybersecurity, and Software Engineering techniques to provide solutions to a growing list of Government and private customers. We combine cutting edge tools with innovative engineering practices, data analytics, and risk algorithms that enhance visibility into complex infrastructures, optimizing resiliency in system design and operations. G2 Ops is a woman-owned small business led by an executive staff known for providing innovative solutions to solve our nation's most complex engineering challenges. G2 Ops has been named to the Inc. 5000 list of America's fastest growing companies each of the last 9 years () and has locations in Arlington, VA, Virginia Beach, VA, and San Diego, CA. G2 Ops, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. G2 Ops, Inc. participates in the E-Verify program. Employment is contingent upon verification of identity and authorization to work in the United States. Applicants have rights under Federal Employment Laws: E-Verify Participation and Right to Work Notices:
About Turing Turing's mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at . The Role Turing builds large-scale datasets and reinforcement learning (RL) environments that power post-training for the world's leading AI labs and enterprises. We create RL environments to evaluate and improve our customers' models on complex, long-range, multi-step workflows across high-GDP-value domains such as Finance, Sales, Retail, Developer Tools, Collaboration, Customer Experience. The environments vary depending on the model capability being evaluated / improved, a few examples of environment types are listed here: Environments for Software Engineering / coding agents UI-Environments for Computer-Use/Browser-Use agents MCP-based Environments for general function-calling agents across various enterprise and consumer applications We are seeking Staff Research Engineers to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training. You will work at the intersection of research and engineering, investigating high-impact questions that improve real-world AI systems. You will design and run rigorous experiments, develop research-grade prototypes and tooling, and collaborate with Research, Engineering, Product, and Operations teams to translate promising ideas into scalable applications. This role offers the opportunity to contribute to both foundational research and applied AI development across synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. What You'll Do 1. Conduct Research on Frontier AI Systems Investigate the capabilities, limitations, and training methods of frontier AI systems. Formulate research questions that can inform Turing's products, platforms, and technical strategy. Explore new approaches to synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. Stay current with advances in machine learning and identify opportunities for meaningful technical contribution. 2. Build and Evaluate Research Systems Develop research-grade datasets, experiments, prototypes, tooling, and evaluation frameworks. Train, test, and evaluate models using modern AI and machine learning tools. Analyze results carefully and draw clear, evidence-based conclusions. Establish sound practices for experimental rigor, data quality, reproducibility, and interpretation. Iterate quickly from early hypothesis through validated technical insight. 3. Translate Research into Practical Impact Collaborate closely with Research, Engineering, Product, and Operations teams. Translate research findings into improvements for Turing's products, platforms, and AI capabilities. Help identify which ideas are ready to move from exploration into scalable, real-world applications. Communicate technical findings clearly to both specialized and cross-functional audiences. 4. Contribute to the Research Community Share findings through technical reports, publications, open-source work, workshops, or conference participation where appropriate. Contribute to Turing's research culture through technical discussions, peer review, mentorship, and collaboration. Represent Turing thoughtfully within the broader AI research community. What We're Looking For Research background: PhD or Master's degree in artificial intelligence, machine learning, computer science, or a closely related technical field; exceptional equivalent research experience will also be considered. Technical depth: Strong foundation in machine learning and practical experience designing experiments, training or evaluating models, and working with modern AI tooling. Relevant expertise: Demonstrated research experience in synthetic or agentic data generation, reinforcement learning or post-training, AI understanding, evaluation, or benchmarks. Research engineering ability: Strong programming skills and the ability to implement, test, and iterate quickly in a research environment. Scientific judgment: Sound judgment around experimental rigor, data quality, reproducibility, and evidence-based decision-making. Communication and collaboration: Clear written and verbal communication skills, intellectual curiosity, and the ability to work effectively across research and engineering teams. Why Turing Work directly with leading AI labs and enterprises at the frontier of post-training and RL environment design. Build datasets and environments that directly improve the capabilities of advanced AI systems. Help advance coding agents' ability to understand, plan, and execute complex software-engineering tasks. Apply frontier AI innovations to high-value enterprise workflows. Operate with high autonomy, rapid iteration, and meaningful commercial impact. Collaborate with exceptional colleagues from organizations including Google, Meta, Amazon, and other leading technology companies. Contribute to research that may be shared through technical publications and leading conferences such as ICLR, ICML, and NeurIPS. This role is required to be in office five days a week, based in any of Turing's offices in San Francisco, Palo Alto, or Seattle. Compensation: $250,000 to $400,000 OTE + Equity Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world's leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here.
09/25/2026
Full time
About Turing Turing's mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at . The Role Turing builds large-scale datasets and reinforcement learning (RL) environments that power post-training for the world's leading AI labs and enterprises. We create RL environments to evaluate and improve our customers' models on complex, long-range, multi-step workflows across high-GDP-value domains such as Finance, Sales, Retail, Developer Tools, Collaboration, Customer Experience. The environments vary depending on the model capability being evaluated / improved, a few examples of environment types are listed here: Environments for Software Engineering / coding agents UI-Environments for Computer-Use/Browser-Use agents MCP-based Environments for general function-calling agents across various enterprise and consumer applications We are seeking Staff Research Engineers to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training. You will work at the intersection of research and engineering, investigating high-impact questions that improve real-world AI systems. You will design and run rigorous experiments, develop research-grade prototypes and tooling, and collaborate with Research, Engineering, Product, and Operations teams to translate promising ideas into scalable applications. This role offers the opportunity to contribute to both foundational research and applied AI development across synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. What You'll Do 1. Conduct Research on Frontier AI Systems Investigate the capabilities, limitations, and training methods of frontier AI systems. Formulate research questions that can inform Turing's products, platforms, and technical strategy. Explore new approaches to synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. Stay current with advances in machine learning and identify opportunities for meaningful technical contribution. 2. Build and Evaluate Research Systems Develop research-grade datasets, experiments, prototypes, tooling, and evaluation frameworks. Train, test, and evaluate models using modern AI and machine learning tools. Analyze results carefully and draw clear, evidence-based conclusions. Establish sound practices for experimental rigor, data quality, reproducibility, and interpretation. Iterate quickly from early hypothesis through validated technical insight. 3. Translate Research into Practical Impact Collaborate closely with Research, Engineering, Product, and Operations teams. Translate research findings into improvements for Turing's products, platforms, and AI capabilities. Help identify which ideas are ready to move from exploration into scalable, real-world applications. Communicate technical findings clearly to both specialized and cross-functional audiences. 4. Contribute to the Research Community Share findings through technical reports, publications, open-source work, workshops, or conference participation where appropriate. Contribute to Turing's research culture through technical discussions, peer review, mentorship, and collaboration. Represent Turing thoughtfully within the broader AI research community. What We're Looking For Research background: PhD or Master's degree in artificial intelligence, machine learning, computer science, or a closely related technical field; exceptional equivalent research experience will also be considered. Technical depth: Strong foundation in machine learning and practical experience designing experiments, training or evaluating models, and working with modern AI tooling. Relevant expertise: Demonstrated research experience in synthetic or agentic data generation, reinforcement learning or post-training, AI understanding, evaluation, or benchmarks. Research engineering ability: Strong programming skills and the ability to implement, test, and iterate quickly in a research environment. Scientific judgment: Sound judgment around experimental rigor, data quality, reproducibility, and evidence-based decision-making. Communication and collaboration: Clear written and verbal communication skills, intellectual curiosity, and the ability to work effectively across research and engineering teams. Why Turing Work directly with leading AI labs and enterprises at the frontier of post-training and RL environment design. Build datasets and environments that directly improve the capabilities of advanced AI systems. Help advance coding agents' ability to understand, plan, and execute complex software-engineering tasks. Apply frontier AI innovations to high-value enterprise workflows. Operate with high autonomy, rapid iteration, and meaningful commercial impact. Collaborate with exceptional colleagues from organizations including Google, Meta, Amazon, and other leading technology companies. Contribute to research that may be shared through technical publications and leading conferences such as ICLR, ICML, and NeurIPS. This role is required to be in office five days a week, based in any of Turing's offices in San Francisco, Palo Alto, or Seattle. Compensation: $250,000 to $400,000 OTE + Equity Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world's leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here.
About Turing Turing's mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at . The Role Turing builds large-scale datasets and reinforcement learning (RL) environments that power post-training for the world's leading AI labs and enterprises. We create RL environments to evaluate and improve our customers' models on complex, long-range, multi-step workflows across high-GDP-value domains such as Finance, Sales, Retail, Developer Tools, Collaboration, Customer Experience. The environments vary depending on the model capability being evaluated / improved, a few examples of environment types are listed here: Environments for Software Engineering / coding agents UI-Environments for Computer-Use/Browser-Use agents MCP-based Environments for general function-calling agents across various enterprise and consumer applications We are seeking Staff Research Engineers to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training. You will work at the intersection of research and engineering, investigating high-impact questions that improve real-world AI systems. You will design and run rigorous experiments, develop research-grade prototypes and tooling, and collaborate with Research, Engineering, Product, and Operations teams to translate promising ideas into scalable applications. This role offers the opportunity to contribute to both foundational research and applied AI development across synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. What You'll Do 1. Conduct Research on Frontier AI Systems Investigate the capabilities, limitations, and training methods of frontier AI systems. Formulate research questions that can inform Turing's products, platforms, and technical strategy. Explore new approaches to synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. Stay current with advances in machine learning and identify opportunities for meaningful technical contribution. 2. Build and Evaluate Research Systems Develop research-grade datasets, experiments, prototypes, tooling, and evaluation frameworks. Train, test, and evaluate models using modern AI and machine learning tools. Analyze results carefully and draw clear, evidence-based conclusions. Establish sound practices for experimental rigor, data quality, reproducibility, and interpretation. Iterate quickly from early hypothesis through validated technical insight. 3. Translate Research into Practical Impact Collaborate closely with Research, Engineering, Product, and Operations teams. Translate research findings into improvements for Turing's products, platforms, and AI capabilities. Help identify which ideas are ready to move from exploration into scalable, real-world applications. Communicate technical findings clearly to both specialized and cross-functional audiences. 4. Contribute to the Research Community Share findings through technical reports, publications, open-source work, workshops, or conference participation where appropriate. Contribute to Turing's research culture through technical discussions, peer review, mentorship, and collaboration. Represent Turing thoughtfully within the broader AI research community. What We're Looking For Research background: PhD or Master's degree in artificial intelligence, machine learning, computer science, or a closely related technical field; exceptional equivalent research experience will also be considered. Technical depth: Strong foundation in machine learning and practical experience designing experiments, training or evaluating models, and working with modern AI tooling. Relevant expertise: Demonstrated research experience in synthetic or agentic data generation, reinforcement learning or post-training, AI understanding, evaluation, or benchmarks. Research engineering ability: Strong programming skills and the ability to implement, test, and iterate quickly in a research environment. Scientific judgment: Sound judgment around experimental rigor, data quality, reproducibility, and evidence-based decision-making. Communication and collaboration: Clear written and verbal communication skills, intellectual curiosity, and the ability to work effectively across research and engineering teams. Why Turing Work directly with leading AI labs and enterprises at the frontier of post-training and RL environment design. Build datasets and environments that directly improve the capabilities of advanced AI systems. Help advance coding agents' ability to understand, plan, and execute complex software-engineering tasks. Apply frontier AI innovations to high-value enterprise workflows. Operate with high autonomy, rapid iteration, and meaningful commercial impact. Collaborate with exceptional colleagues from organizations including Google, Meta, Amazon, and other leading technology companies. Contribute to research that may be shared through technical publications and leading conferences such as ICLR, ICML, and NeurIPS. This role is required to be in office five days a week, based in any of Turing's offices in San Francisco, Palo Alto, or Seattle. Compensation: $250,000 to $400,000 OTE + Equity Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world's leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here.
09/25/2026
Full time
About Turing Turing's mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at . The Role Turing builds large-scale datasets and reinforcement learning (RL) environments that power post-training for the world's leading AI labs and enterprises. We create RL environments to evaluate and improve our customers' models on complex, long-range, multi-step workflows across high-GDP-value domains such as Finance, Sales, Retail, Developer Tools, Collaboration, Customer Experience. The environments vary depending on the model capability being evaluated / improved, a few examples of environment types are listed here: Environments for Software Engineering / coding agents UI-Environments for Computer-Use/Browser-Use agents MCP-based Environments for general function-calling agents across various enterprise and consumer applications We are seeking Staff Research Engineers to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training. You will work at the intersection of research and engineering, investigating high-impact questions that improve real-world AI systems. You will design and run rigorous experiments, develop research-grade prototypes and tooling, and collaborate with Research, Engineering, Product, and Operations teams to translate promising ideas into scalable applications. This role offers the opportunity to contribute to both foundational research and applied AI development across synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. What You'll Do 1. Conduct Research on Frontier AI Systems Investigate the capabilities, limitations, and training methods of frontier AI systems. Formulate research questions that can inform Turing's products, platforms, and technical strategy. Explore new approaches to synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. Stay current with advances in machine learning and identify opportunities for meaningful technical contribution. 2. Build and Evaluate Research Systems Develop research-grade datasets, experiments, prototypes, tooling, and evaluation frameworks. Train, test, and evaluate models using modern AI and machine learning tools. Analyze results carefully and draw clear, evidence-based conclusions. Establish sound practices for experimental rigor, data quality, reproducibility, and interpretation. Iterate quickly from early hypothesis through validated technical insight. 3. Translate Research into Practical Impact Collaborate closely with Research, Engineering, Product, and Operations teams. Translate research findings into improvements for Turing's products, platforms, and AI capabilities. Help identify which ideas are ready to move from exploration into scalable, real-world applications. Communicate technical findings clearly to both specialized and cross-functional audiences. 4. Contribute to the Research Community Share findings through technical reports, publications, open-source work, workshops, or conference participation where appropriate. Contribute to Turing's research culture through technical discussions, peer review, mentorship, and collaboration. Represent Turing thoughtfully within the broader AI research community. What We're Looking For Research background: PhD or Master's degree in artificial intelligence, machine learning, computer science, or a closely related technical field; exceptional equivalent research experience will also be considered. Technical depth: Strong foundation in machine learning and practical experience designing experiments, training or evaluating models, and working with modern AI tooling. Relevant expertise: Demonstrated research experience in synthetic or agentic data generation, reinforcement learning or post-training, AI understanding, evaluation, or benchmarks. Research engineering ability: Strong programming skills and the ability to implement, test, and iterate quickly in a research environment. Scientific judgment: Sound judgment around experimental rigor, data quality, reproducibility, and evidence-based decision-making. Communication and collaboration: Clear written and verbal communication skills, intellectual curiosity, and the ability to work effectively across research and engineering teams. Why Turing Work directly with leading AI labs and enterprises at the frontier of post-training and RL environment design. Build datasets and environments that directly improve the capabilities of advanced AI systems. Help advance coding agents' ability to understand, plan, and execute complex software-engineering tasks. Apply frontier AI innovations to high-value enterprise workflows. Operate with high autonomy, rapid iteration, and meaningful commercial impact. Collaborate with exceptional colleagues from organizations including Google, Meta, Amazon, and other leading technology companies. Contribute to research that may be shared through technical publications and leading conferences such as ICLR, ICML, and NeurIPS. This role is required to be in office five days a week, based in any of Turing's offices in San Francisco, Palo Alto, or Seattle. Compensation: $250,000 to $400,000 OTE + Equity Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world's leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here.
About Turing Turing's mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at . The Role Turing builds large-scale datasets and reinforcement learning (RL) environments that power post-training for the world's leading AI labs and enterprises. We create RL environments to evaluate and improve our customers' models on complex, long-range, multi-step workflows across high-GDP-value domains such as Finance, Sales, Retail, Developer Tools, Collaboration, Customer Experience. The environments vary depending on the model capability being evaluated / improved, a few examples of environment types are listed here: Environments for Software Engineering / coding agents UI-Environments for Computer-Use/Browser-Use agents MCP-based Environments for general function-calling agents across various enterprise and consumer applications We are seeking Staff Research Engineers to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training. You will work at the intersection of research and engineering, investigating high-impact questions that improve real-world AI systems. You will design and run rigorous experiments, develop research-grade prototypes and tooling, and collaborate with Research, Engineering, Product, and Operations teams to translate promising ideas into scalable applications. This role offers the opportunity to contribute to both foundational research and applied AI development across synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. What You'll Do 1. Conduct Research on Frontier AI Systems Investigate the capabilities, limitations, and training methods of frontier AI systems. Formulate research questions that can inform Turing's products, platforms, and technical strategy. Explore new approaches to synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. Stay current with advances in machine learning and identify opportunities for meaningful technical contribution. 2. Build and Evaluate Research Systems Develop research-grade datasets, experiments, prototypes, tooling, and evaluation frameworks. Train, test, and evaluate models using modern AI and machine learning tools. Analyze results carefully and draw clear, evidence-based conclusions. Establish sound practices for experimental rigor, data quality, reproducibility, and interpretation. Iterate quickly from early hypothesis through validated technical insight. 3. Translate Research into Practical Impact Collaborate closely with Research, Engineering, Product, and Operations teams. Translate research findings into improvements for Turing's products, platforms, and AI capabilities. Help identify which ideas are ready to move from exploration into scalable, real-world applications. Communicate technical findings clearly to both specialized and cross-functional audiences. 4. Contribute to the Research Community Share findings through technical reports, publications, open-source work, workshops, or conference participation where appropriate. Contribute to Turing's research culture through technical discussions, peer review, mentorship, and collaboration. Represent Turing thoughtfully within the broader AI research community. What We're Looking For Research background: PhD or Master's degree in artificial intelligence, machine learning, computer science, or a closely related technical field; exceptional equivalent research experience will also be considered. Technical depth: Strong foundation in machine learning and practical experience designing experiments, training or evaluating models, and working with modern AI tooling. Relevant expertise: Demonstrated research experience in synthetic or agentic data generation, reinforcement learning or post-training, AI understanding, evaluation, or benchmarks. Research engineering ability: Strong programming skills and the ability to implement, test, and iterate quickly in a research environment. Scientific judgment: Sound judgment around experimental rigor, data quality, reproducibility, and evidence-based decision-making. Communication and collaboration: Clear written and verbal communication skills, intellectual curiosity, and the ability to work effectively across research and engineering teams. Why Turing Work directly with leading AI labs and enterprises at the frontier of post-training and RL environment design. Build datasets and environments that directly improve the capabilities of advanced AI systems. Help advance coding agents' ability to understand, plan, and execute complex software-engineering tasks. Apply frontier AI innovations to high-value enterprise workflows. Operate with high autonomy, rapid iteration, and meaningful commercial impact. Collaborate with exceptional colleagues from organizations including Google, Meta, Amazon, and other leading technology companies. Contribute to research that may be shared through technical publications and leading conferences such as ICLR, ICML, and NeurIPS. This role is required to be in office five days a week, based in any of Turing's offices in San Francisco, Palo Alto, or Seattle. Compensation: $250,000 to $400,000 OTE + Equity Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world's leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here.
09/25/2026
Full time
About Turing Turing's mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at . The Role Turing builds large-scale datasets and reinforcement learning (RL) environments that power post-training for the world's leading AI labs and enterprises. We create RL environments to evaluate and improve our customers' models on complex, long-range, multi-step workflows across high-GDP-value domains such as Finance, Sales, Retail, Developer Tools, Collaboration, Customer Experience. The environments vary depending on the model capability being evaluated / improved, a few examples of environment types are listed here: Environments for Software Engineering / coding agents UI-Environments for Computer-Use/Browser-Use agents MCP-based Environments for general function-calling agents across various enterprise and consumer applications We are seeking Staff Research Engineers to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training. You will work at the intersection of research and engineering, investigating high-impact questions that improve real-world AI systems. You will design and run rigorous experiments, develop research-grade prototypes and tooling, and collaborate with Research, Engineering, Product, and Operations teams to translate promising ideas into scalable applications. This role offers the opportunity to contribute to both foundational research and applied AI development across synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. What You'll Do 1. Conduct Research on Frontier AI Systems Investigate the capabilities, limitations, and training methods of frontier AI systems. Formulate research questions that can inform Turing's products, platforms, and technical strategy. Explore new approaches to synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. Stay current with advances in machine learning and identify opportunities for meaningful technical contribution. 2. Build and Evaluate Research Systems Develop research-grade datasets, experiments, prototypes, tooling, and evaluation frameworks. Train, test, and evaluate models using modern AI and machine learning tools. Analyze results carefully and draw clear, evidence-based conclusions. Establish sound practices for experimental rigor, data quality, reproducibility, and interpretation. Iterate quickly from early hypothesis through validated technical insight. 3. Translate Research into Practical Impact Collaborate closely with Research, Engineering, Product, and Operations teams. Translate research findings into improvements for Turing's products, platforms, and AI capabilities. Help identify which ideas are ready to move from exploration into scalable, real-world applications. Communicate technical findings clearly to both specialized and cross-functional audiences. 4. Contribute to the Research Community Share findings through technical reports, publications, open-source work, workshops, or conference participation where appropriate. Contribute to Turing's research culture through technical discussions, peer review, mentorship, and collaboration. Represent Turing thoughtfully within the broader AI research community. What We're Looking For Research background: PhD or Master's degree in artificial intelligence, machine learning, computer science, or a closely related technical field; exceptional equivalent research experience will also be considered. Technical depth: Strong foundation in machine learning and practical experience designing experiments, training or evaluating models, and working with modern AI tooling. Relevant expertise: Demonstrated research experience in synthetic or agentic data generation, reinforcement learning or post-training, AI understanding, evaluation, or benchmarks. Research engineering ability: Strong programming skills and the ability to implement, test, and iterate quickly in a research environment. Scientific judgment: Sound judgment around experimental rigor, data quality, reproducibility, and evidence-based decision-making. Communication and collaboration: Clear written and verbal communication skills, intellectual curiosity, and the ability to work effectively across research and engineering teams. Why Turing Work directly with leading AI labs and enterprises at the frontier of post-training and RL environment design. Build datasets and environments that directly improve the capabilities of advanced AI systems. Help advance coding agents' ability to understand, plan, and execute complex software-engineering tasks. Apply frontier AI innovations to high-value enterprise workflows. Operate with high autonomy, rapid iteration, and meaningful commercial impact. Collaborate with exceptional colleagues from organizations including Google, Meta, Amazon, and other leading technology companies. Contribute to research that may be shared through technical publications and leading conferences such as ICLR, ICML, and NeurIPS. This role is required to be in office five days a week, based in any of Turing's offices in San Francisco, Palo Alto, or Seattle. Compensation: $250,000 to $400,000 OTE + Equity Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world's leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here.
Leidos has an exciting opportunity for a Principal Test Engineer in our Intel Security Sector's Analysis Solutions Business Area. Our talented team is at the forefront in Security Engineering, Computer Network Operations (CNO), Mission Software, Analytical Methods and Modeling, Signals Intelligence (SIGINT), and Cryptographic Key Management. At Leidos, we offer competitive benefits, including Paid Time Off, 11 paid Holidays, 401K with a 6% company match and immediate vesting, Flexible Schedules, Discounted Stock Purchase Plans, Technical Upskilling, Education and Training Support, Parental Paid Leave, and much more. Join us and make a difference in National Security! Job Summary: As a Test Engineer on this program, you will have the opportunity to perform software development to implement scripts, evaluate test results, and feedback loops in a Continuous Integration Continuous Delivery Pipeline within a commercial cloud environment. Flexible cross-training to also provide systems engineering, software development, training, and security. Job duties are performed within a commercial cloud environment. Responsibilities Include: Participate in program Agile software development initiatives (standup, planning, increment planning) to support innovation and enhancement of custom applications through iteration/functionality testing Participate and collaborate with team members to assess StoryPoint/complexity efforts (using best practices) to ensure proper testing and delivery of functionality per User Story Acceptance Criteria Collaborate with team members (Scrum Master, Product Owner, Software Developers) to develop test approaches with emphasis on automation of recurring/regression test cases through selected toolsets Develop automated test cases using knowledge of custom Applications through designated GUI/COTS products (ex: Selenium and Katalon Studio) Leverage DevOps practices to ensure repeatability and Configuration Management of test cases/scripts are maintained and continuously improved Develop and document end-to-end functionality test case narratives using task management system (JIRA/Confluence) and support performance testing/evaluation activities using tools such as Jmeter Basic Qualifications: In-depth experience testing both back-end and front-end applications processes, scripting languages (ex: Python) to automate tasks, and test data/script development Knowledge of or direct experience with software performance testing practices Direct experience with creation, authoring, execution and documentation of test cases/result sets for software products in an agile cadence Significant experience working/testing within Commercial Cloud Platforms (ex: AWS) and DevOps tools, and working in a SAFe Agile and DevOps development environment Demonstrated ability to work within collaborative environment to execute test cases complimentary to development efforts BS degree with and 12+ years of prior relevant experience or Master's 10+ years of prior relevant experience. Will consider experience in lieu of a degree Clearance Required: Must have an active TS/SCI with Polygraph Preferred Qualifications: Experience with administration of MS Windows Server or Linux environments (Lab or Personal development space) Experience reviewing output of CI jobs and capable of tracking test failures back to code changes that resulted in bugs Capable of review code check-ins to understand the impact of code changes on system functionality and potential applications bugs Direct experience with AWS environments At Leidos, the opportunities are boundless. We challenge our staff with interesting assignments that allow them to thrive professionally and personally. For us, helping you grow your career is good business. We look forward to learning more about you - apply today. If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares. Original Posting: January 21, 2026 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range: Pay Range $131,300.00 - $237,350.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
09/25/2026
Full time
Leidos has an exciting opportunity for a Principal Test Engineer in our Intel Security Sector's Analysis Solutions Business Area. Our talented team is at the forefront in Security Engineering, Computer Network Operations (CNO), Mission Software, Analytical Methods and Modeling, Signals Intelligence (SIGINT), and Cryptographic Key Management. At Leidos, we offer competitive benefits, including Paid Time Off, 11 paid Holidays, 401K with a 6% company match and immediate vesting, Flexible Schedules, Discounted Stock Purchase Plans, Technical Upskilling, Education and Training Support, Parental Paid Leave, and much more. Join us and make a difference in National Security! Job Summary: As a Test Engineer on this program, you will have the opportunity to perform software development to implement scripts, evaluate test results, and feedback loops in a Continuous Integration Continuous Delivery Pipeline within a commercial cloud environment. Flexible cross-training to also provide systems engineering, software development, training, and security. Job duties are performed within a commercial cloud environment. Responsibilities Include: Participate in program Agile software development initiatives (standup, planning, increment planning) to support innovation and enhancement of custom applications through iteration/functionality testing Participate and collaborate with team members to assess StoryPoint/complexity efforts (using best practices) to ensure proper testing and delivery of functionality per User Story Acceptance Criteria Collaborate with team members (Scrum Master, Product Owner, Software Developers) to develop test approaches with emphasis on automation of recurring/regression test cases through selected toolsets Develop automated test cases using knowledge of custom Applications through designated GUI/COTS products (ex: Selenium and Katalon Studio) Leverage DevOps practices to ensure repeatability and Configuration Management of test cases/scripts are maintained and continuously improved Develop and document end-to-end functionality test case narratives using task management system (JIRA/Confluence) and support performance testing/evaluation activities using tools such as Jmeter Basic Qualifications: In-depth experience testing both back-end and front-end applications processes, scripting languages (ex: Python) to automate tasks, and test data/script development Knowledge of or direct experience with software performance testing practices Direct experience with creation, authoring, execution and documentation of test cases/result sets for software products in an agile cadence Significant experience working/testing within Commercial Cloud Platforms (ex: AWS) and DevOps tools, and working in a SAFe Agile and DevOps development environment Demonstrated ability to work within collaborative environment to execute test cases complimentary to development efforts BS degree with and 12+ years of prior relevant experience or Master's 10+ years of prior relevant experience. Will consider experience in lieu of a degree Clearance Required: Must have an active TS/SCI with Polygraph Preferred Qualifications: Experience with administration of MS Windows Server or Linux environments (Lab or Personal development space) Experience reviewing output of CI jobs and capable of tracking test failures back to code changes that resulted in bugs Capable of review code check-ins to understand the impact of code changes on system functionality and potential applications bugs Direct experience with AWS environments At Leidos, the opportunities are boundless. We challenge our staff with interesting assignments that allow them to thrive professionally and personally. For us, helping you grow your career is good business. We look forward to learning more about you - apply today. If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares. Original Posting: January 21, 2026 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range: Pay Range $131,300.00 - $237,350.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
Leidos has an exciting opportunity for a MarkLogic Developer SME in our Intel Security Sector's Analysis Solutions Business Area. Our talented team is at the forefront in Security Engineering, Computer Network Operations (CNO), Mission Software, Analytical Methods and Modeling, Signals Intelligence (SIGINT), and Cryptographic Key Management. At Leidos, we offer competitive benefits, including Paid Time Off, 11 paid Holidays, 401K with a 6% company match and immediate vesting, Flexible Schedules, Discounted Stock Purchase Plans, Technical Upskilling, Education and Training Support, Parental Paid Leave, and much more. Join us and make a difference in National Security! Job Summary This Java Developer role with expertise in developing MarkLogic based applications provides Agile DevOps support to mission-critical systems. You will have the opportunity to build and maintain systems, software, and cloud environments, while providing operations and maintenance for critical systems. In this role, you will also design, develop, and implement applications utilizing MarkLogic databases with business logic written in XQuery. Additionally, based on a DevOps framework, you will participate in and/or direct major deliverables of projects through all aspects of the software development lifecycle, including scope and work estimation, architecture and design, coding, and unit testing. Job Responsibilities Design and develop solutions integrating MarkLogic with existing enterprise platforms and systems. Develop XQuery, JavaScript, and REST modules on the MarkLogic technology stack. Develop Entity models and participate in software programming initiatives using HTML, CSS, JavaScript, Java, Angular, Python, SpringBoot, and Hibernate. Develop and direct software system validation and testing methods using Junit and Katalon. Develop and integrate custom software solutions leveraging automated deployment technologies; while supporting the Agile software development lifecycle following Program SAFe practices. Analyze (though proof of concept, performance, and end-to-end testing) and effectively coordinate Infrastructure needs driven by developed software to meet customer mission needs. Implement MarkLogic-based application processes to support Governance, Risk and Compliance initiatives. Basic Qualifications 7+ years of hands-on application development utilizing the MarkLogic framework. Strong analytical and design skills, with the ability to translate business requirements into efficient and effective technical designs within large-scale, well-structured enterprise environments. Significant experience in the development of service-oriented architecture applications. Good understanding of Object-Oriented Design and Design Patterns. Significant experience implementing the MarkLogic java-client-api within an enterprise application. Strong knowledge of XQuery, FLWOR queries, JavaScript, MarkLogic, SPARQL, RDF data, XML Data, triple-stores, XML Processing. In-depth experience with Java and data processing, manipulation or querying (SQL and NoSQL). Masters with 15 or more years of relevant experience or a PhD with 13 or more years of relevant experience. Additional years of experience may be substituted in lieu of a degree. TS/SCI with a polygraph is required for consideration. Preferred Qualifications Experience developing in or deploying to AWS. At Leidos, the opportunities are boundless. We challenge our staff with interesting assignments that allow them to thrive professionally and personally. For us, helping you grow your career is good business. We look forward to learning more about you - apply today. If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares. Original Posting: January 21, 2026 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range: Pay Range $154,050.00 - $278,475.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
09/25/2026
Full time
Leidos has an exciting opportunity for a MarkLogic Developer SME in our Intel Security Sector's Analysis Solutions Business Area. Our talented team is at the forefront in Security Engineering, Computer Network Operations (CNO), Mission Software, Analytical Methods and Modeling, Signals Intelligence (SIGINT), and Cryptographic Key Management. At Leidos, we offer competitive benefits, including Paid Time Off, 11 paid Holidays, 401K with a 6% company match and immediate vesting, Flexible Schedules, Discounted Stock Purchase Plans, Technical Upskilling, Education and Training Support, Parental Paid Leave, and much more. Join us and make a difference in National Security! Job Summary This Java Developer role with expertise in developing MarkLogic based applications provides Agile DevOps support to mission-critical systems. You will have the opportunity to build and maintain systems, software, and cloud environments, while providing operations and maintenance for critical systems. In this role, you will also design, develop, and implement applications utilizing MarkLogic databases with business logic written in XQuery. Additionally, based on a DevOps framework, you will participate in and/or direct major deliverables of projects through all aspects of the software development lifecycle, including scope and work estimation, architecture and design, coding, and unit testing. Job Responsibilities Design and develop solutions integrating MarkLogic with existing enterprise platforms and systems. Develop XQuery, JavaScript, and REST modules on the MarkLogic technology stack. Develop Entity models and participate in software programming initiatives using HTML, CSS, JavaScript, Java, Angular, Python, SpringBoot, and Hibernate. Develop and direct software system validation and testing methods using Junit and Katalon. Develop and integrate custom software solutions leveraging automated deployment technologies; while supporting the Agile software development lifecycle following Program SAFe practices. Analyze (though proof of concept, performance, and end-to-end testing) and effectively coordinate Infrastructure needs driven by developed software to meet customer mission needs. Implement MarkLogic-based application processes to support Governance, Risk and Compliance initiatives. Basic Qualifications 7+ years of hands-on application development utilizing the MarkLogic framework. Strong analytical and design skills, with the ability to translate business requirements into efficient and effective technical designs within large-scale, well-structured enterprise environments. Significant experience in the development of service-oriented architecture applications. Good understanding of Object-Oriented Design and Design Patterns. Significant experience implementing the MarkLogic java-client-api within an enterprise application. Strong knowledge of XQuery, FLWOR queries, JavaScript, MarkLogic, SPARQL, RDF data, XML Data, triple-stores, XML Processing. In-depth experience with Java and data processing, manipulation or querying (SQL and NoSQL). Masters with 15 or more years of relevant experience or a PhD with 13 or more years of relevant experience. Additional years of experience may be substituted in lieu of a degree. TS/SCI with a polygraph is required for consideration. Preferred Qualifications Experience developing in or deploying to AWS. At Leidos, the opportunities are boundless. We challenge our staff with interesting assignments that allow them to thrive professionally and personally. For us, helping you grow your career is good business. We look forward to learning more about you - apply today. If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares. Original Posting: January 21, 2026 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range: Pay Range $154,050.00 - $278,475.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
Leidos has an exciting opportunity for a DevOps Engineer in our Intel Security Sector's Analysis Solutions Business Area. Our talented team is at the forefront in Security Engineering, Computer Network Operations (CNO), Mission Software, Analytical Methods and Modeling, Signals Intelligence (SIGINT), and Cryptographic Key Management. At Leidos, we offer competitive benefits, including Paid Time Off, 11 paid Holidays, 401K with a 6% company match and immediate vesting, Flexible Schedules, Discounted Stock Purchase Plans, Technical Upskilling, Education and Training Support, Parental Paid Leave, and much more. Join us and make a difference in National Security! Job Summary This DevOps Engineer role provides mission critical system support to our customer. You will closely work with the Development team as well as other technology stakeholders to maintain, develop and support IC enterprise products - legacy and new products - in an Agile SAFe environment. The role will also work collaboratively with software engineering to deploy and operate systems. Additionally, this role will help automate and streamline operations and processes; as well as build and maintain tools for deployment, monitoring and operations, and troubleshoot and resolve issues in dev, test, and production environments. Primary Responsibilities: Supports software deployments, cloud infrastructure baselines, and operational availability of production systems. Managing, building, configuring, administering, operating and maintaining all components that comprise the DevOps environment. Defining enterprise Continuous Integration/Continuous Deployment processes and best practices Codifying DevOps best practices across the enterprise Developing and maintaining scripts to automate tool deployment to an AWS cloud environment and other tasks. Scripting and maintaining build environments. Working with project teams to integrate their products into the DevOps environment. Basic Qualifications Demonstrated experience setting up one or more of the following tools: GitHub, Jira, Confluence, Jenkins, and Katalon Studio. Demonstrated experience troubleshooting issues with two or more of the following tools: GitHub, Jira, Confluence, Jenkins, and Katalon Studio. Demonstrated experience working within a software development team and supporting developers and developer activities. Bachelors degree with 4 or more years of prior relevant work experience or Masters with 2 or more years of prior relevant work experience. Will consider additional work experience in lieu of a degree. To be considered must have an active TS/SCI with polygraph security clearance Preferred Qualifications AWS Associate Certification (Developer, Solution Architect, or Sys Ops Administrator) AWS Professional Certification (DevOps Engineer or Solutions Architect) Demonstrated experience in container orchestration using Docker, Vagrant, Kubernetes, or AWS ECS/ECR Demonstrated experience with Languages including Java, Python, JavaScript, Ruby, PHP, and Unix shell Scripting Demonstrated experience with Ansible, or Puppet. At Leidos, the opportunities are boundless. We challenge our staff with interesting assignments that allow them to thrive professionally and personally. For us, helping you grow your career is good business. We look forward to learning more about you - apply today. If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares. Original Posting: January 20, 2026 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range: Pay Range $87,100.00 - $157,450.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
09/25/2026
Full time
Leidos has an exciting opportunity for a DevOps Engineer in our Intel Security Sector's Analysis Solutions Business Area. Our talented team is at the forefront in Security Engineering, Computer Network Operations (CNO), Mission Software, Analytical Methods and Modeling, Signals Intelligence (SIGINT), and Cryptographic Key Management. At Leidos, we offer competitive benefits, including Paid Time Off, 11 paid Holidays, 401K with a 6% company match and immediate vesting, Flexible Schedules, Discounted Stock Purchase Plans, Technical Upskilling, Education and Training Support, Parental Paid Leave, and much more. Join us and make a difference in National Security! Job Summary This DevOps Engineer role provides mission critical system support to our customer. You will closely work with the Development team as well as other technology stakeholders to maintain, develop and support IC enterprise products - legacy and new products - in an Agile SAFe environment. The role will also work collaboratively with software engineering to deploy and operate systems. Additionally, this role will help automate and streamline operations and processes; as well as build and maintain tools for deployment, monitoring and operations, and troubleshoot and resolve issues in dev, test, and production environments. Primary Responsibilities: Supports software deployments, cloud infrastructure baselines, and operational availability of production systems. Managing, building, configuring, administering, operating and maintaining all components that comprise the DevOps environment. Defining enterprise Continuous Integration/Continuous Deployment processes and best practices Codifying DevOps best practices across the enterprise Developing and maintaining scripts to automate tool deployment to an AWS cloud environment and other tasks. Scripting and maintaining build environments. Working with project teams to integrate their products into the DevOps environment. Basic Qualifications Demonstrated experience setting up one or more of the following tools: GitHub, Jira, Confluence, Jenkins, and Katalon Studio. Demonstrated experience troubleshooting issues with two or more of the following tools: GitHub, Jira, Confluence, Jenkins, and Katalon Studio. Demonstrated experience working within a software development team and supporting developers and developer activities. Bachelors degree with 4 or more years of prior relevant work experience or Masters with 2 or more years of prior relevant work experience. Will consider additional work experience in lieu of a degree. To be considered must have an active TS/SCI with polygraph security clearance Preferred Qualifications AWS Associate Certification (Developer, Solution Architect, or Sys Ops Administrator) AWS Professional Certification (DevOps Engineer or Solutions Architect) Demonstrated experience in container orchestration using Docker, Vagrant, Kubernetes, or AWS ECS/ECR Demonstrated experience with Languages including Java, Python, JavaScript, Ruby, PHP, and Unix shell Scripting Demonstrated experience with Ansible, or Puppet. At Leidos, the opportunities are boundless. We challenge our staff with interesting assignments that allow them to thrive professionally and personally. For us, helping you grow your career is good business. We look forward to learning more about you - apply today. If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares. Original Posting: January 20, 2026 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range: Pay Range $87,100.00 - $157,450.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
ABOUT PER SCHOLAS: For 30 years, Per Scholas has been on a mission to drive mobility and opportunity in the ever-advancing technology landscape by unlocking the untapped potential of individuals, uplifting communities, and meeting the needs of employers through rigorous tech training. By teaming up with dynamic employer partners, ranging from Fortune 500 companies to innovative startups, we're forging inclusive tech talent pipelines, fulfilling an ever-increasing need for skilled talent. With national remote training and campuses in 20+ cities and counting, Per Scholas offers no-cost training programs in the most sought-after tech skills, spanning Cloud, Cybersecurity, Data Engineering, IT Support, Software Engineering, and more. To date, 30,000+ individuals have been trained through Per Scholas, propelling their professional trajectories into high-growth tech careers with salaries three times higher than their pre-training earnings. Learn more by visiting PerScholas.org and follow us on LinkedIn, X, Facebook, Instagram, and YouTube. Per Scholas candidates must reside in one of the following states, provided the position does not carry a specific office location requirement: AZ, CA, CO, FL, GA, IL, IN, KS, MD, MA, MI, MO, NC, NJ, NY, OH, PA, TX, WA. Employment Type: Contract Duration: 6 Months Hourly Rate: $40.00 -$50.00 Work Modality: Remote Reports To : Director, Product Systems & Delivery Role Overview The Canvas LMS Platform Automation Specialist will design, build, and maintain automations between Canvas and Airtable to support Per Scholas's training, learner services, and operations teams. The role focuses on making learner data, course operations, and reporting more efficient, accurate, and scalable across Per Scholas programs. Key Responsibilities Design and implement automations between Canvas and Airtable using tools such as Google Apps Script and the Airtable API. Configure Canvas courses, sections, enrollments, and grade passback processes to align with Per Scholas program and onboarding workflows. Build and maintain Airtable bases that track learners, cohorts, attendance, and outcomes, ensuring data integrity and usability for staff. Create monitoring and alerting for failed runs or integration errors, and troubleshoot issues quickly with minimal downtime. Partner with Training, Admissions, Learner Support, and Data/IT teams to gather requirements and translate them into robust, documented workflows. Maintain clear documentation for integrations, data mappings, and SOPs so other team members can use and support the automations. Identify opportunities to streamline manual processes and propose new automations that improve learner and staff experience. Qualifications 2+ years working with Canvas LMS in an admin, technologist, or developer role (e.g., managing courses, enrollments, or API integrations). Hands-on experience building automations with Airtable (linked records, views, automations, interfaces, permissions). Working knowledge of REST APIs, JSON, and webhooks; ability to read API docs and implement integrations. Experience with at least one automation or integration platform, or light scripting (JavaScript) for API workflows. Strong analytical, documentation, and communication skills; able to work effectively with both technical and non-technical stakeholders. Nice to Have Experience in workforce development, higher ed, or bootcamp-style training environments, ideally with mission-driven nonprofits. Familiarity with CRM or learner data ecosystems (e.g., Salesforce, Airtable, data warehouses, reporting dashboards). Experience with learning analytics, reporting, or data visualization tools. Experience with building and implementing LTI 1.3 Mission & Culture Alignment Commitment to Per Scholas's mission of advancing economic mobility through tech training and to serving diverse learner populations nationwide. Comfort working in a fast-paced, iterative environment that balances operational excellence with equity-focused decisions. For this role specifically, we are targeting a hourly of $50.00, with a range between $40.00- $50.00 where the difference in rate is typically determined by several factors, including geography in which the selected candidate resides, and alignment with qualifications and experience. Benefits & Perks Per Scholas offers a comprehensive benefits package designed to support your health, financial well-being, and overall quality of life! Holidays & PTO: Full-TimePer Scholas team members enjoy over 40 days of paid time off each year through a mix of holidays, vacation, and sick/personal time! All employees are eligible for Holiday pay upon hire (a total of 22 holidays annually, including a week off for Independence day and a week before the New Year ). Full-Time Benefits Eligible employees also receive 80 Wellness Hours to use for Sick, Safe, or Personal reasons and accrue Vacation at a rate of 8 hours at the beginning of every month, supporting rest, recharge, and work-life balance. Vacation accruals increase with tenure. Part-time employees are afforded time off on a prorated basis and in accordance with local requirements. Comprehensive Medical Coverage : Benefit eligible employees can choose from multiple medical plans through Cigna or Kaiser Permanente (where available), with options to fit your needs. Eligible employees also have access to a Health Reimbursement Account (HRA) that reimburses eligible out-of-pocket expenses, up to $4,000 for individuals and $8,000 for families. Dental and Vision Insurance : Eligible employees can select from two dental plan options and a vision plan. Employees who waive medical coverage receive employer paid dental and vision premiums. Retirement Savings: 401(k) plan with a current 100% employer match on contributions up to 6%, eligible employees are offered entry and full vesting after 90 days with the company. Employee Assistance Program (EAP) : Free, confidential, 24/7 access to counseling, legal support, and financial resources for employees and their household members Parental Leave: Eligible employees are offered up to 6 weeks of 100% paid parental leave to support employees as they welcome a new child and bond with their family. Additional Benefits & Perks: Eligible employees have access to employer-paid life and AD&D Insurance, as well as employer-paid short-term disability coverage, with the option to elect additional life coverage and long-term disability insurance. Flexible Spending accounts are available for healthcare, dependent care, and commuting expenses. Per Scholas also offers a range of voluntary benefits, including: Accident, Critical Illness, Hospital Indemnity, Legal Services, and Pet Insurance. Additional resources include healthcare concierge support, financial wellness tools, and employee discount programs. QUESTIONS? If you have any questions about this role, please feel free to email our Talent team at . We look forward to viewing your application! Equal Employment Opportunity We're proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or national origin. PII Policies Non-Discrimination Policy
09/25/2026
Contractor
ABOUT PER SCHOLAS: For 30 years, Per Scholas has been on a mission to drive mobility and opportunity in the ever-advancing technology landscape by unlocking the untapped potential of individuals, uplifting communities, and meeting the needs of employers through rigorous tech training. By teaming up with dynamic employer partners, ranging from Fortune 500 companies to innovative startups, we're forging inclusive tech talent pipelines, fulfilling an ever-increasing need for skilled talent. With national remote training and campuses in 20+ cities and counting, Per Scholas offers no-cost training programs in the most sought-after tech skills, spanning Cloud, Cybersecurity, Data Engineering, IT Support, Software Engineering, and more. To date, 30,000+ individuals have been trained through Per Scholas, propelling their professional trajectories into high-growth tech careers with salaries three times higher than their pre-training earnings. Learn more by visiting PerScholas.org and follow us on LinkedIn, X, Facebook, Instagram, and YouTube. Per Scholas candidates must reside in one of the following states, provided the position does not carry a specific office location requirement: AZ, CA, CO, FL, GA, IL, IN, KS, MD, MA, MI, MO, NC, NJ, NY, OH, PA, TX, WA. Employment Type: Contract Duration: 6 Months Hourly Rate: $40.00 -$50.00 Work Modality: Remote Reports To : Director, Product Systems & Delivery Role Overview The Canvas LMS Platform Automation Specialist will design, build, and maintain automations between Canvas and Airtable to support Per Scholas's training, learner services, and operations teams. The role focuses on making learner data, course operations, and reporting more efficient, accurate, and scalable across Per Scholas programs. Key Responsibilities Design and implement automations between Canvas and Airtable using tools such as Google Apps Script and the Airtable API. Configure Canvas courses, sections, enrollments, and grade passback processes to align with Per Scholas program and onboarding workflows. Build and maintain Airtable bases that track learners, cohorts, attendance, and outcomes, ensuring data integrity and usability for staff. Create monitoring and alerting for failed runs or integration errors, and troubleshoot issues quickly with minimal downtime. Partner with Training, Admissions, Learner Support, and Data/IT teams to gather requirements and translate them into robust, documented workflows. Maintain clear documentation for integrations, data mappings, and SOPs so other team members can use and support the automations. Identify opportunities to streamline manual processes and propose new automations that improve learner and staff experience. Qualifications 2+ years working with Canvas LMS in an admin, technologist, or developer role (e.g., managing courses, enrollments, or API integrations). Hands-on experience building automations with Airtable (linked records, views, automations, interfaces, permissions). Working knowledge of REST APIs, JSON, and webhooks; ability to read API docs and implement integrations. Experience with at least one automation or integration platform, or light scripting (JavaScript) for API workflows. Strong analytical, documentation, and communication skills; able to work effectively with both technical and non-technical stakeholders. Nice to Have Experience in workforce development, higher ed, or bootcamp-style training environments, ideally with mission-driven nonprofits. Familiarity with CRM or learner data ecosystems (e.g., Salesforce, Airtable, data warehouses, reporting dashboards). Experience with learning analytics, reporting, or data visualization tools. Experience with building and implementing LTI 1.3 Mission & Culture Alignment Commitment to Per Scholas's mission of advancing economic mobility through tech training and to serving diverse learner populations nationwide. Comfort working in a fast-paced, iterative environment that balances operational excellence with equity-focused decisions. For this role specifically, we are targeting a hourly of $50.00, with a range between $40.00- $50.00 where the difference in rate is typically determined by several factors, including geography in which the selected candidate resides, and alignment with qualifications and experience. Benefits & Perks Per Scholas offers a comprehensive benefits package designed to support your health, financial well-being, and overall quality of life! Holidays & PTO: Full-TimePer Scholas team members enjoy over 40 days of paid time off each year through a mix of holidays, vacation, and sick/personal time! All employees are eligible for Holiday pay upon hire (a total of 22 holidays annually, including a week off for Independence day and a week before the New Year ). Full-Time Benefits Eligible employees also receive 80 Wellness Hours to use for Sick, Safe, or Personal reasons and accrue Vacation at a rate of 8 hours at the beginning of every month, supporting rest, recharge, and work-life balance. Vacation accruals increase with tenure. Part-time employees are afforded time off on a prorated basis and in accordance with local requirements. Comprehensive Medical Coverage : Benefit eligible employees can choose from multiple medical plans through Cigna or Kaiser Permanente (where available), with options to fit your needs. Eligible employees also have access to a Health Reimbursement Account (HRA) that reimburses eligible out-of-pocket expenses, up to $4,000 for individuals and $8,000 for families. Dental and Vision Insurance : Eligible employees can select from two dental plan options and a vision plan. Employees who waive medical coverage receive employer paid dental and vision premiums. Retirement Savings: 401(k) plan with a current 100% employer match on contributions up to 6%, eligible employees are offered entry and full vesting after 90 days with the company. Employee Assistance Program (EAP) : Free, confidential, 24/7 access to counseling, legal support, and financial resources for employees and their household members Parental Leave: Eligible employees are offered up to 6 weeks of 100% paid parental leave to support employees as they welcome a new child and bond with their family. Additional Benefits & Perks: Eligible employees have access to employer-paid life and AD&D Insurance, as well as employer-paid short-term disability coverage, with the option to elect additional life coverage and long-term disability insurance. Flexible Spending accounts are available for healthcare, dependent care, and commuting expenses. Per Scholas also offers a range of voluntary benefits, including: Accident, Critical Illness, Hospital Indemnity, Legal Services, and Pet Insurance. Additional resources include healthcare concierge support, financial wellness tools, and employee discount programs. QUESTIONS? If you have any questions about this role, please feel free to email our Talent team at . We look forward to viewing your application! Equal Employment Opportunity We're proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or national origin. PII Policies Non-Discrimination Policy
Mission Support & Test Services, LLC (MSTS)
North Las Vegas, Nevada
The Information Technology Directorate is looking for a Senior Applications Analyst Full-Stack .NET Developer who is a team player and has strong experience developing applications using the technologies described below. The Applications Analyst will be responsible for the business process analysis, design, development, implementation and support of the applicable business applications. This position does not manage staff. The position reports to the Software Engineering Manager of the Rapid Application Development team. Responsibilities Key Responsibilities Candidate will write program code from internal specification documentation or outdated application code and prepare test plans, test data, run tests, observe results and correct program code to resolve any differences from specifications. Perform/assist in the administration and technical responsibility of COTS and in-house developed applications including support for users, translating business requirements into enhancements; configuring and testing changes; maintaining and monitoring system security and permissions; and coordinating activities with other team members, the application owner, and IT. Collect and process large data sets from various sources. Develop and maintain databases and data systems to store and manage data. Create and implement data models and algorithms to analyze data. Identify trends and patterns in data to inform business decisions. Develop and present reports, visualizations, and forecasts to stakeholders. Collaborate with cross-functional teams to integrate data insights into business strategies. Identify, report, and perform/assist in the remediation of Cyber Security threats and vulnerabilities. Candidate may provide direction to less experienced staff. Candidate is expected to coach or mentor less senior staff. Candidate is expected to lead complex projects that may involve other IT sections, other departments, and consultants. Candidate will serve as liaison between IT and Business Support groups. Ability to use multiple electronic devices including standard office machines, cellular phones, and security appliances. Ability to understand policies, procedures, laws, regulations, and other directives, maintain strict confidentiality. Qualifications Due to the nature of our work, US Citizenship is required for all positions. Bachelor's degree in a computer related field or equivalent computer related experience with at least 5 years of relevant, progressively responsible experience. We are looking for a person who is a team player and has strong experience developing applications using these technologies. Advanced knowledge of technical principles, theories, standards, practices and procedures in software development and database administration. Candidate needs to understand the features and concepts associated with object-oriented programming and the Model-View-Controller architectural pattern. Must possess strong analytical and problem-solving skills. Must possess good trouble shooting and testing skills. Must possess excellent customer service skills and good oral and written communication skills sufficient to communicate with co-workers and stakeholders, write clear and concise reports, gather information, and collect information. Must possess good presentation skills. Supports multiple, complex software applications or database platforms. Candidate will be an object-oriented, full-stack developer, preferably in ASP.NET (.NET Framework & .NET 8 or later), Blazor, MVC, C#, JavaScript, HTML, CSS, APEX, and Java. Experience using Azure DevOps, Git, Visual Studio, Toad for Oracle, Denodo, and Power BI. Must have knowledge and experience using MSSQL Server and Oracle relational databases. Must have experience developing web applications and deploying on Windows Server using IIS web server. Must have knowledge about secured application development and experience applying that to web applications. Must have some experience designing and developing AI/ML automation systems. Must have some experience designing and developing Retrieval-Augmented Generation (RAG) pipelines using Elasticsearch or similar and LLMs for data/document retrieval. Must be able to understand and remediate security vulnerabilities on supporting applications. Ability to multi-task and maintain organization in a fast-paced, changing environment. Ability to solve complex design problems. Must be willing to accept responsibility in new areas and possess the level of technical and analytical skills that will provide successful outcomes to those assignments. Must be able to accept assigned responsibilities and manage work to ensure deadlines and milestones are met. Must have expert experience in broad range of tools and technology used by NNSS. Must have the aptitude and desire to continually learn about new tools and technology and have the ability to evaluate the best solution for stated problems. Must deliver quality, maintainable solutions. Ability to use a systems engineering approach when implementing new solutions or modifying existing solutions. Ability to evaluate user requirements and write technical specifications. Understand the principles associated with the MSTS safety concept. Participate in and embrace MSTS environment, safety, health, and quality initiatives. The primary work location will be the North Las Vegas Facility on Losee Road. Telecommuting or teleworking may be a possibility for this position. Work schedule will be 4/10s Monday through Thursday (subject to change). Pre-placement physical examination, which includes a drug screen, is required. MSTS maintains a substance abuse policy that includes random drug testing. Must possess a valid driver's license. Ability to obtain a HSPD-12 Personal Identity Verification credential under the Department of Energy Order 206.2, 'Identity, Credential, and Access Management,' and Supplemental Directive NNSA SD 206.2, 'Implementation of Personal Identity Verification for Uncleared Contractors.' MSTS is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability, veteran status or other characteristics protected by law. MSTS is a background screening, drug-free workplace. Annual salary range for this position is: $97,219.20 - $145,828.80. Starting salary is determined based on the position market value, the individual candidate education and experience and internal equity. Mission Support and Test Services, LLC (MSTS) manages and operates the Nevada National Security Sites (NNSS) for the U.S. National Nuclear Security Administration (NNSA), a semi-autonomous agency within the U.S. Department of Energy (DOE). The NNSS is an enterprise of special-purpose, multi-mission, high-hazard experimentation facilities delivering technical and service solutions in partnership with the National Laboratories. Our collaborative work supports the government's most important national security missions. (See NNSS.gov for our unique capabilities.) Our 3,000+ professional, craft, and support employees are called upon to innovate, collaborate, and deliver on some of the more difficult nuclear security challenges facing the world today. • MSTS offers our full-time employees highly competitive salaries and benefits packages including medical, dental, and vision; both a pension and a 401k; paid time off and 96 hours of paid holidays; relocation (if located more than 75 miles from work location); tuition assistance and reimbursement; and more. • MSTS is a limited liability company consisting of Honeywell Aerospace, Amentum, and HII Nuclear Inc.
09/25/2026
Full time
The Information Technology Directorate is looking for a Senior Applications Analyst Full-Stack .NET Developer who is a team player and has strong experience developing applications using the technologies described below. The Applications Analyst will be responsible for the business process analysis, design, development, implementation and support of the applicable business applications. This position does not manage staff. The position reports to the Software Engineering Manager of the Rapid Application Development team. Responsibilities Key Responsibilities Candidate will write program code from internal specification documentation or outdated application code and prepare test plans, test data, run tests, observe results and correct program code to resolve any differences from specifications. Perform/assist in the administration and technical responsibility of COTS and in-house developed applications including support for users, translating business requirements into enhancements; configuring and testing changes; maintaining and monitoring system security and permissions; and coordinating activities with other team members, the application owner, and IT. Collect and process large data sets from various sources. Develop and maintain databases and data systems to store and manage data. Create and implement data models and algorithms to analyze data. Identify trends and patterns in data to inform business decisions. Develop and present reports, visualizations, and forecasts to stakeholders. Collaborate with cross-functional teams to integrate data insights into business strategies. Identify, report, and perform/assist in the remediation of Cyber Security threats and vulnerabilities. Candidate may provide direction to less experienced staff. Candidate is expected to coach or mentor less senior staff. Candidate is expected to lead complex projects that may involve other IT sections, other departments, and consultants. Candidate will serve as liaison between IT and Business Support groups. Ability to use multiple electronic devices including standard office machines, cellular phones, and security appliances. Ability to understand policies, procedures, laws, regulations, and other directives, maintain strict confidentiality. Qualifications Due to the nature of our work, US Citizenship is required for all positions. Bachelor's degree in a computer related field or equivalent computer related experience with at least 5 years of relevant, progressively responsible experience. We are looking for a person who is a team player and has strong experience developing applications using these technologies. Advanced knowledge of technical principles, theories, standards, practices and procedures in software development and database administration. Candidate needs to understand the features and concepts associated with object-oriented programming and the Model-View-Controller architectural pattern. Must possess strong analytical and problem-solving skills. Must possess good trouble shooting and testing skills. Must possess excellent customer service skills and good oral and written communication skills sufficient to communicate with co-workers and stakeholders, write clear and concise reports, gather information, and collect information. Must possess good presentation skills. Supports multiple, complex software applications or database platforms. Candidate will be an object-oriented, full-stack developer, preferably in ASP.NET (.NET Framework & .NET 8 or later), Blazor, MVC, C#, JavaScript, HTML, CSS, APEX, and Java. Experience using Azure DevOps, Git, Visual Studio, Toad for Oracle, Denodo, and Power BI. Must have knowledge and experience using MSSQL Server and Oracle relational databases. Must have experience developing web applications and deploying on Windows Server using IIS web server. Must have knowledge about secured application development and experience applying that to web applications. Must have some experience designing and developing AI/ML automation systems. Must have some experience designing and developing Retrieval-Augmented Generation (RAG) pipelines using Elasticsearch or similar and LLMs for data/document retrieval. Must be able to understand and remediate security vulnerabilities on supporting applications. Ability to multi-task and maintain organization in a fast-paced, changing environment. Ability to solve complex design problems. Must be willing to accept responsibility in new areas and possess the level of technical and analytical skills that will provide successful outcomes to those assignments. Must be able to accept assigned responsibilities and manage work to ensure deadlines and milestones are met. Must have expert experience in broad range of tools and technology used by NNSS. Must have the aptitude and desire to continually learn about new tools and technology and have the ability to evaluate the best solution for stated problems. Must deliver quality, maintainable solutions. Ability to use a systems engineering approach when implementing new solutions or modifying existing solutions. Ability to evaluate user requirements and write technical specifications. Understand the principles associated with the MSTS safety concept. Participate in and embrace MSTS environment, safety, health, and quality initiatives. The primary work location will be the North Las Vegas Facility on Losee Road. Telecommuting or teleworking may be a possibility for this position. Work schedule will be 4/10s Monday through Thursday (subject to change). Pre-placement physical examination, which includes a drug screen, is required. MSTS maintains a substance abuse policy that includes random drug testing. Must possess a valid driver's license. Ability to obtain a HSPD-12 Personal Identity Verification credential under the Department of Energy Order 206.2, 'Identity, Credential, and Access Management,' and Supplemental Directive NNSA SD 206.2, 'Implementation of Personal Identity Verification for Uncleared Contractors.' MSTS is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability, veteran status or other characteristics protected by law. MSTS is a background screening, drug-free workplace. Annual salary range for this position is: $97,219.20 - $145,828.80. Starting salary is determined based on the position market value, the individual candidate education and experience and internal equity. Mission Support and Test Services, LLC (MSTS) manages and operates the Nevada National Security Sites (NNSS) for the U.S. National Nuclear Security Administration (NNSA), a semi-autonomous agency within the U.S. Department of Energy (DOE). The NNSS is an enterprise of special-purpose, multi-mission, high-hazard experimentation facilities delivering technical and service solutions in partnership with the National Laboratories. Our collaborative work supports the government's most important national security missions. (See NNSS.gov for our unique capabilities.) Our 3,000+ professional, craft, and support employees are called upon to innovate, collaborate, and deliver on some of the more difficult nuclear security challenges facing the world today. • MSTS offers our full-time employees highly competitive salaries and benefits packages including medical, dental, and vision; both a pension and a 401k; paid time off and 96 hours of paid holidays; relocation (if located more than 75 miles from work location); tuition assistance and reimbursement; and more. • MSTS is a limited liability company consisting of Honeywell Aerospace, Amentum, and HII Nuclear Inc.
Leidos has an exciting opportunity for Cybersecurity Engineer SME in our Intel Security Sector's Analysis Solutions Business Area. Our talented team is at the forefront in Security Engineering, Computer Network Operations (CNO), Mission Software, Analytical Methods and Modeling, Signals Intelligence (SIGINT), and Cryptographic Key Management. At Leidos, we offer competitive benefits, including Paid Time Off, 11 paid Holidays, 401K with a 6% company match and immediate vesting, Flexible Schedules, Discounted Stock Purchase Plans, Technical Upskilling, Education and Training Support, Parental Paid Leave, and much more. Join us and make a difference in National Security! Job Summary The Cybersecurity Engineer SME is responsible for protecting the customer's information systems, networks, and infrastructure from cyber threats and vulnerabilities. This role supports the design, implementation, and maintenance of security controls that safeguard mission systems and ensure compliance with applicable cybersecurity policies, standards, and regulatory frameworks. The Cybersecurity Engineer SME will work closely with Information Systems Security Engineers (ISSEs), Information Systems Security Managers (ISSMs), software developers, systems engineers, and government stakeholders throughout the DevSecOps lifecycle. The candidate will perform a full spectrum of cybersecurity engineering activities, including implementing security technologies, supporting incident response efforts, and ensuring systems meet required security and compliance standards. Primary Responsibilities: Plan, implement, manage, monitor, and upgrade security controls and tools used to protect enterprise systems and networks, while identifying opportunities to automate repeatable operations tasks. Design, configure, implement, troubleshoot, and maintain security technologies such as firewalls (security groups), endpoint protection tools (HBSS/Trellix), SIEM platforms (Splunk). Monitor system and network security using Security Information and Event Management (SIEM) tools such as Splunk Enterprise Security to detect, analyze, and respond to potential threats or anomalous activity. Support the investigation and remediation of cybersecurity incidents, including system or network breaches and malware infections. Participate in change management processes to ensure system changes maintain security compliance and do not introduce new vulnerabilities. Audit systems and configurations to ensure compliance with established cybersecurity policies, standards, and secure configuration baselines. Collaborate with engineering, development, and operations teams to integrate security controls into DevSecOps pipelines and system architectures. Continuously monitor security advisories, bulletins, and industry threat intelligence to stay informed of current vulnerabilities, threats, and trends. Assist with the implementation and enforcement of secure system configurations and cybersecurity compliance requirements. Support vulnerability management activities by reviewing scan results, assessing risk, and coordinating remediation efforts with system owners and technical teams. Basic Qualifications: Experience implementing and managing Security Information and Event Management (SIEM) tools such as Splunk or similar platforms. Experience working with endpoint and network security technologies, including IDS/IPS, HBSS/Trellix, and related defensive security tools. Experience reviewing and analyzing cybersecurity event logs to identify indicators of compromise or suspicious activity. Experience supporting incident response plans, vulnerability management programs, risk management plans, and Plans of Action and Milestones (POA&Ms). Experience conducting or supporting technical cybersecurity assessments and security audits. Experience identifying system vulnerabilities and instances of non-compliance with cybersecurity standards and regulatory requirements. Experience collaborating with DevSecOps teams to review vulnerability scan results and support remediation of findings. Experience supporting the Risk Management Framework (RMF) authorization process by reviewing security documentation and providing risk-based recommendations to stakeholders regarding system risk posture as part of Authority to Operate (ATO) activities. Manage and track Plans of Action and Milestones (POA&Ms) for customer-sponsored systems, coordinating with key stakeholders including ISSOs, ISSEs, ISSMs, and Security Control Assessors (SCAs) Experience applying system security engineering principles in areas such as system security design, lifecycle engineering, authentication and authorization mechanisms, cryptography, intrusion detection, contingency planning, incident handling, auditing, configuration management, and change control. Professional cybersecurity certifications such as Security+, CISSP, CySA+, CEH, or GCIH. Education/Experience: Requires MS degree and 15 or more years of prior relevant experience. Additional years of experience may be substituted in lieu of a degree. To be considered must have an active TS/SCI with polygraph security clearance Preferred Qualifications: Experience with cybersecurity tools such as Rapid7, Tenable/Nessus, HBSS/Trellix, SonarQube, or endpoint detection and response (EDR) platforms, as well as using STIG viewers and compliance tools to assess systems against established security configuration baselines. Experience implementing and managing network and application firewalls, incident detection platforms, and digital forensic tools. Experience with automation tools such as Ansible or CloudFormation to support infrastructure and security automation. Experience with Agile software development environments and scripting/programming languages such as Python or PowerShell. (e.g., React). Familiarity with cloud computing environments, including AWS, Oracle Cloud, or Google Cloud Platform (GCP). Experience with system monitoring and health tools such as SolarWinds. Experience working with DevSecOps pipelines and CI/CD security tools. Experience administering or securing systems in Linux environments (Red Hat). At Leidos, the opportunities are boundless. We challenge our staff with interesting assignments that allow them to thrive professionally and personally. For us, helping you grow your career is good business. We look forward to learning more about you - apply today. CABARESTON If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares. Original Posting: April 3, 2026 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range: Pay Range $154,050.00 - $278,475.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
09/25/2026
Full time
Leidos has an exciting opportunity for Cybersecurity Engineer SME in our Intel Security Sector's Analysis Solutions Business Area. Our talented team is at the forefront in Security Engineering, Computer Network Operations (CNO), Mission Software, Analytical Methods and Modeling, Signals Intelligence (SIGINT), and Cryptographic Key Management. At Leidos, we offer competitive benefits, including Paid Time Off, 11 paid Holidays, 401K with a 6% company match and immediate vesting, Flexible Schedules, Discounted Stock Purchase Plans, Technical Upskilling, Education and Training Support, Parental Paid Leave, and much more. Join us and make a difference in National Security! Job Summary The Cybersecurity Engineer SME is responsible for protecting the customer's information systems, networks, and infrastructure from cyber threats and vulnerabilities. This role supports the design, implementation, and maintenance of security controls that safeguard mission systems and ensure compliance with applicable cybersecurity policies, standards, and regulatory frameworks. The Cybersecurity Engineer SME will work closely with Information Systems Security Engineers (ISSEs), Information Systems Security Managers (ISSMs), software developers, systems engineers, and government stakeholders throughout the DevSecOps lifecycle. The candidate will perform a full spectrum of cybersecurity engineering activities, including implementing security technologies, supporting incident response efforts, and ensuring systems meet required security and compliance standards. Primary Responsibilities: Plan, implement, manage, monitor, and upgrade security controls and tools used to protect enterprise systems and networks, while identifying opportunities to automate repeatable operations tasks. Design, configure, implement, troubleshoot, and maintain security technologies such as firewalls (security groups), endpoint protection tools (HBSS/Trellix), SIEM platforms (Splunk). Monitor system and network security using Security Information and Event Management (SIEM) tools such as Splunk Enterprise Security to detect, analyze, and respond to potential threats or anomalous activity. Support the investigation and remediation of cybersecurity incidents, including system or network breaches and malware infections. Participate in change management processes to ensure system changes maintain security compliance and do not introduce new vulnerabilities. Audit systems and configurations to ensure compliance with established cybersecurity policies, standards, and secure configuration baselines. Collaborate with engineering, development, and operations teams to integrate security controls into DevSecOps pipelines and system architectures. Continuously monitor security advisories, bulletins, and industry threat intelligence to stay informed of current vulnerabilities, threats, and trends. Assist with the implementation and enforcement of secure system configurations and cybersecurity compliance requirements. Support vulnerability management activities by reviewing scan results, assessing risk, and coordinating remediation efforts with system owners and technical teams. Basic Qualifications: Experience implementing and managing Security Information and Event Management (SIEM) tools such as Splunk or similar platforms. Experience working with endpoint and network security technologies, including IDS/IPS, HBSS/Trellix, and related defensive security tools. Experience reviewing and analyzing cybersecurity event logs to identify indicators of compromise or suspicious activity. Experience supporting incident response plans, vulnerability management programs, risk management plans, and Plans of Action and Milestones (POA&Ms). Experience conducting or supporting technical cybersecurity assessments and security audits. Experience identifying system vulnerabilities and instances of non-compliance with cybersecurity standards and regulatory requirements. Experience collaborating with DevSecOps teams to review vulnerability scan results and support remediation of findings. Experience supporting the Risk Management Framework (RMF) authorization process by reviewing security documentation and providing risk-based recommendations to stakeholders regarding system risk posture as part of Authority to Operate (ATO) activities. Manage and track Plans of Action and Milestones (POA&Ms) for customer-sponsored systems, coordinating with key stakeholders including ISSOs, ISSEs, ISSMs, and Security Control Assessors (SCAs) Experience applying system security engineering principles in areas such as system security design, lifecycle engineering, authentication and authorization mechanisms, cryptography, intrusion detection, contingency planning, incident handling, auditing, configuration management, and change control. Professional cybersecurity certifications such as Security+, CISSP, CySA+, CEH, or GCIH. Education/Experience: Requires MS degree and 15 or more years of prior relevant experience. Additional years of experience may be substituted in lieu of a degree. To be considered must have an active TS/SCI with polygraph security clearance Preferred Qualifications: Experience with cybersecurity tools such as Rapid7, Tenable/Nessus, HBSS/Trellix, SonarQube, or endpoint detection and response (EDR) platforms, as well as using STIG viewers and compliance tools to assess systems against established security configuration baselines. Experience implementing and managing network and application firewalls, incident detection platforms, and digital forensic tools. Experience with automation tools such as Ansible or CloudFormation to support infrastructure and security automation. Experience with Agile software development environments and scripting/programming languages such as Python or PowerShell. (e.g., React). Familiarity with cloud computing environments, including AWS, Oracle Cloud, or Google Cloud Platform (GCP). Experience with system monitoring and health tools such as SolarWinds. Experience working with DevSecOps pipelines and CI/CD security tools. Experience administering or securing systems in Linux environments (Red Hat). At Leidos, the opportunities are boundless. We challenge our staff with interesting assignments that allow them to thrive professionally and personally. For us, helping you grow your career is good business. We look forward to learning more about you - apply today. CABARESTON If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares. Original Posting: April 3, 2026 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range: Pay Range $154,050.00 - $278,475.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
Leidos has an exciting opportunity for an ETL Java Developer in our Intel Security Sector's Analysis Solutions Business Area. Our talented team is at the forefront in Security Engineering, Computer Network Operations (CNO), Mission Software, Analytical Methods and Modeling, Signals Intelligence (SIGINT), and Cryptographic Key Management. At Leidos, we offer competitive benefits, including Paid Time Off, 11 paid Holidays, 401K with a 6% company match and immediate vesting, Flexible Schedules, Discounted Stock Purchase Plans, Technical Upskilling, Education and Training Support, Parental Paid Leave, and much more. Join us and make a difference in National Security! Summary As an ETL Java developer you will provide Agile DevOps support to mission critical systems. On this program, you will have the opportunity to build strong systems, software, and cloud environments and provide operations and maintenance for critical systems. The candidate will provide technical expertise and support in the design, development, implementation and testing of customer tools and applications in support of Extracting, Transforming and Loading of data into an enterprise Data Lake. Based in a DevOps framework, participate in and/or direct major deliverables of projects through all aspects of the software development lifecycle including scope and work estimation, architecture and design, coding and unit testing. This role requires the development of custom code/scripts to quickly extract, triage and exploit data across domains and data stores. Primary Responsibilities: Building NiFi data pipeline design: Develop and implement enterprise-level ETL NiFi data pipelines for large-scale data ingestion, transformation, and processing from diverse sources. Performance optimization and tuning: Optimize NiFi data flows, including processor tuning, memory management, and load balancing, ensuring optimal performance for batch and real-time processing. Troubleshooting and problem resolution: Identify, diagnose, and resolve NiFi data flow issues, including performance bottlenecks, data discrepancies, and integration failures. Follow best practices and standards: Follow establish best practices for NiFi development, deployment, security, and governance, ensuring adherence to enterprise-wide data management policies. Documentation and knowledge sharing: Create and maintain comprehensive documentation for NiFi data flows, mappings, architectures, and standard operating procedures, ensuring knowledge transfer and promoting efficient team operations. Collaboration and communication: Collaborate effectively with data architects, data engineers, application/service developers, and other stakeholders to translate business requirements into robust technical solutions. Basic Qualifications: Experience developing, and managing NiFi data flow solutions in enterprise environments. Experience in programming languages like Java and/or Python and scripting for automation. Experience with cloud platforms like AWS, Azure, or OCI and related data services Ability to analyze data challenges, identify root causes, and implement effective solutions. Ability to collaborate effectively with cross-functional teams and articulate technical concepts clearly. Bachelor's with 2-4 years of prior relevant experience. Additional years of experience may be substituted in-lieu of a degree. To be considered must have an active TS/SCI with polygraph security clearance. Preferred Qualifications: Experience deploying ETL solutions in an AWS environment. Experience writing queries, along with experience in interacting with relational or NoSQL databases (e.g., Postgres, Elasticsearch, DynamoDB). Experience with API integration (REST) for seamless data connectivity. Experience developing custom NiFi processors with Java and/or Python. Direct knowledge of NiFi architecture, processors, and configurations, along with hands-on experience with NiFi Registry and clustering for high availability and scalability. At Leidos, the opportunities are boundless. We challenge our staff with interesting assignments that allow them to thrive professionally and personally. For us, helping you grow your career is good business. We look forward to learning more about you - apply today. If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares. Original Posting: April 17, 2026 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range: Pay Range $69,550.00 - $125,725.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
09/25/2026
Full time
Leidos has an exciting opportunity for an ETL Java Developer in our Intel Security Sector's Analysis Solutions Business Area. Our talented team is at the forefront in Security Engineering, Computer Network Operations (CNO), Mission Software, Analytical Methods and Modeling, Signals Intelligence (SIGINT), and Cryptographic Key Management. At Leidos, we offer competitive benefits, including Paid Time Off, 11 paid Holidays, 401K with a 6% company match and immediate vesting, Flexible Schedules, Discounted Stock Purchase Plans, Technical Upskilling, Education and Training Support, Parental Paid Leave, and much more. Join us and make a difference in National Security! Summary As an ETL Java developer you will provide Agile DevOps support to mission critical systems. On this program, you will have the opportunity to build strong systems, software, and cloud environments and provide operations and maintenance for critical systems. The candidate will provide technical expertise and support in the design, development, implementation and testing of customer tools and applications in support of Extracting, Transforming and Loading of data into an enterprise Data Lake. Based in a DevOps framework, participate in and/or direct major deliverables of projects through all aspects of the software development lifecycle including scope and work estimation, architecture and design, coding and unit testing. This role requires the development of custom code/scripts to quickly extract, triage and exploit data across domains and data stores. Primary Responsibilities: Building NiFi data pipeline design: Develop and implement enterprise-level ETL NiFi data pipelines for large-scale data ingestion, transformation, and processing from diverse sources. Performance optimization and tuning: Optimize NiFi data flows, including processor tuning, memory management, and load balancing, ensuring optimal performance for batch and real-time processing. Troubleshooting and problem resolution: Identify, diagnose, and resolve NiFi data flow issues, including performance bottlenecks, data discrepancies, and integration failures. Follow best practices and standards: Follow establish best practices for NiFi development, deployment, security, and governance, ensuring adherence to enterprise-wide data management policies. Documentation and knowledge sharing: Create and maintain comprehensive documentation for NiFi data flows, mappings, architectures, and standard operating procedures, ensuring knowledge transfer and promoting efficient team operations. Collaboration and communication: Collaborate effectively with data architects, data engineers, application/service developers, and other stakeholders to translate business requirements into robust technical solutions. Basic Qualifications: Experience developing, and managing NiFi data flow solutions in enterprise environments. Experience in programming languages like Java and/or Python and scripting for automation. Experience with cloud platforms like AWS, Azure, or OCI and related data services Ability to analyze data challenges, identify root causes, and implement effective solutions. Ability to collaborate effectively with cross-functional teams and articulate technical concepts clearly. Bachelor's with 2-4 years of prior relevant experience. Additional years of experience may be substituted in-lieu of a degree. To be considered must have an active TS/SCI with polygraph security clearance. Preferred Qualifications: Experience deploying ETL solutions in an AWS environment. Experience writing queries, along with experience in interacting with relational or NoSQL databases (e.g., Postgres, Elasticsearch, DynamoDB). Experience with API integration (REST) for seamless data connectivity. Experience developing custom NiFi processors with Java and/or Python. Direct knowledge of NiFi architecture, processors, and configurations, along with hands-on experience with NiFi Registry and clustering for high availability and scalability. At Leidos, the opportunities are boundless. We challenge our staff with interesting assignments that allow them to thrive professionally and personally. For us, helping you grow your career is good business. We look forward to learning more about you - apply today. If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares. Original Posting: April 17, 2026 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range: Pay Range $69,550.00 - $125,725.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
on a mission to unleash the power of content you in? We've got the brands, we've got the stars, we've got thepowerto achieve our mission to entertain the planet - now all we're missing is YOU! Becoming a part of Paramount means joining a team of passionate people who not only recognize the power of content but also enjoy a touch of fun and uniqueness. Together, we co-create moments that matter - both for our audiences and our employees - and aim to leave a positive mark on culture. Job Title: Lead Software Engineer in Test Team: Global Quality Engineering Location: New York City, Los Angeles, San Francisco Overview Paramount Skydance Corp. is seeking a Staff Software Engineer in Test to design, architect, and deliver high-quality, scalable, and reliable automated testing solutions across our enterprise platforms. This senior technical role combines deep Java engineering expertise, advanced test automation, media/streaming domain knowledge, and modern CI/CD practices to accelerate quality, reduce risk, and ensure world-class customer experiences across CTV, SmartTV, mobile, and web. You will be a senior technical leader within the Global Quality Engineering (GQE) organization. You will use and enhance our existing departmental automation framework, define quality strategies, and mentor engineers across GQE to elevate testing maturity and engineering excellence. You will also drive AI-augmented development and testing practices using GitHub Copilot (in-IDE), Cursor, and similar tools. Key Responsibilities Automation Framework Architecture • Enhance and extend our existing Java-based departmental test automation framework supporting API, UI, Mobile, CTV/SmartTV, and integration testing; introduce reusable libraries, utilities, and patterns to improve stability and scale. • Establish scalable patterns for reusable test components, data management, assertions, parallelization, and distributed execution. • Integrate the framework deeply into CI/CD pipelines to support shift-left testing and continuous quality. AI-Augmented Quality Engineering • Champion AI-assisted development and testing using tools such as GitHub Copilot (IDE), Cursor, and LLM-based assistants to improve developer productivity, test authoring velocity, code reviews, and defect triage. • Apply prompt engineering and retrieval techniques to accelerate test case generation, log/telemetry summarization, video-quality anomaly detection, and root-cause analysis. • Evaluate and integrate functional AI capabilities that measurably reduce flakiness, false positives, and triage time within the existing framework. Media & Multi-Platform Quality • Expand automation coverage for video playback, streaming resiliency, DRM flows, SSAI/CSAI ad insertion, captions/subtitles, and content protection. • Validate QoE metrics (startup time, rebuffering ratio, frame drops, video/audio sync, error recovery) across Roku, Fire TV, Android TV/Google TV, Samsung Tizen, LG webOS, Apple TV, iOS/Android mobile apps, and modern web players. • Leverage media tooling such as ffmpeg/ffprobe, Charles/Fiddler, and player inspection APIs for diagnostics and validation. Quality Engineering Technical Leadership • Define technical strategy for automated testing across services, microservices, UIs, mobile apps, and OTT/CTV applications leveraging the departmental framework. • Ensure consistent adoption of engineering best practices, coding standards, and high-quality test development patterns. • Lead the evaluation and adoption of modern automation technologies and quality platforms. Cross Functional Collaboration • Partner with Video Engineering, Playback/Player, Ads/Monetization, CDN/Streaming Operations, and Platform teams to ensure robust validation of streaming experiences and ad workflows. • Collaborate with Product to ensure test coverage aligns to business priorities and quality goals. • Work closely with Platform and Data Engineering to support scalable test environments, quality data, and telemetry. Technical Execution • Design and implement complex automated test suites using Java, Selenium, Appium, JMeter, Locust, REST-Assured, TestNG/JUnit, and related tooling within the existing framework. • Build and optimize testing strategies including API/contract, integration, performance/reliability, and device-level testing for CTV/SmartTV, mobile, and web. • Diagnose and tackle issues related to automation reliability, environment instability, device fragmentation, and system integration. Required Qualifications • 7+ years of experience in software engineering or quality engineering with robust Java development expertise. • Demonstrated experience using and enhancing an existing enterprise/departmental automation framework. • Deep expertise in common test automation tools (Selenium, Appium, Playwright, REST-Assured, TestNG, JUnit, Maven/Gradle). • AI experience (must-have): hands-on use of AI-assisted development tools. This includes tools like Claude Code, GitHub Copilot (IDE), Cursor, or similar. Candidates should also have useful prompt engineering skills for code and tests. LLMs are leveraged for tasks such as generating tests, suggesting code reviews, summarizing logs, and speeding up triage. • Strong knowledge of CI/CD tools (Jenkins, GitHub Actions, GitLab CI, Argo, Spinnaker) and quality gates. • Proven experience testing media/streaming applications across CTV (Roku, Fire TV, Android TV/Google TV), SmartTV (Tizen/webOS), iOS/Android mobile, and web. • Hands-on validation of HLS/DASH, ABR, DRM, captions/subtitles, and QoE metrics. • Cloud experience (GCP, AWS, or Azure) and containerization (Docker, Kubernetes). • Solid knowledge of software design patterns, data structures, and core engineering principles. Preferred Qualifications • Experience mentoring engineers or leading cross-functional automation initiatives. • Familiarity with observability and APM tools (Grafana, Prometheus, NewRelic, DataDog) and media telemetry(Conviva, MUX, NPAW etc). • Experience with contract testing (PACT), service virtualization, or synthetic media test data. • Exposure to CTV/SmartTV automation stacks and remote device labs. Key Competencies • Technical leadership - ability to guide teams and evolve automation coverage. • Quality mindset - commitment to reliability, maintainability, and continuous improvement. • AI fluency - judgment on where AI adds measurable value in testing. • Systems thinking - knowledge of distributed systems and complex media pipelines. • Ownership - ability to drive initiatives end-to-end with autonomy. Success Metrics • Increased automation coverage across CTV/SmartTV, mobile, and web; reduced manual regression. • Measurable reduction in escaped defects and media playback incidents. • Improved stability and reliability of automated pipelines and device runs. • Faster release cycles through scalable, AI-augmented automation. • Broad adoption and consistent usage of the GQE test framework across teams Paramount+, a direct-to-consumer digital subscription video on-demand and live streaming service from Paramount Global, combines live sports, breaking news, and a mountain of entertainment. The premium streaming service features an expansive library of original series, hit shows and popular movies across every genre from world-renowned brands and production studios, including BET, CBS, Comedy Central, MTV, Nickelodeon, Paramount Pictures and the Smithsonian Channel. The service is also the streaming home to unmatched sports programming, including every CBS Sports event, from golf to football to basketball and more, plus exclusive streaming rights for major sports properties, including some of the world's biggest and most popular soccer leagues. Paramount+ also enables subscribers to stream local CBS stations live across the U.S. in addition to the ability to stream Paramount Streaming's other live channels: CBSN for 24/7 news, CBS Sports HQ for sports news and analysis, and ET Live for entertainment coverage. ADDITIONAL INFORMATION Hiring Salary Range: $124 000.00. The hiring salary range for this position applies to New York, California, Colorado, Washington state, and most other geographies. Starting pay for the successful applicant depends on a variety of job-related factors, including but not limited to geographic location, market demands, experience, training, and education. The benefits available for this position include medical, dental, vision, 401(k) plan, life insurance coverage, disability benefits, tuition assistance program and PTO or, if applicable, as otherwise dictated by the appropriate Collective Bargaining Agreement. This position is bonus eligible. What We Offer: Attractive compensation and comprehensive benefits packages. Check out our full list of benefits here: Generous paid time off. An exciting and fulfilling opportunity to be part of one of Paramount's most dynamic teams. Opportunities for both on-site and virtual engagement events. Unique opportunities to make meaningful connections and build a vibrant community, both inside and outside the workplace. Explore life at Paramount: . click apply for full job details
09/25/2026
Full time
on a mission to unleash the power of content you in? We've got the brands, we've got the stars, we've got thepowerto achieve our mission to entertain the planet - now all we're missing is YOU! Becoming a part of Paramount means joining a team of passionate people who not only recognize the power of content but also enjoy a touch of fun and uniqueness. Together, we co-create moments that matter - both for our audiences and our employees - and aim to leave a positive mark on culture. Job Title: Lead Software Engineer in Test Team: Global Quality Engineering Location: New York City, Los Angeles, San Francisco Overview Paramount Skydance Corp. is seeking a Staff Software Engineer in Test to design, architect, and deliver high-quality, scalable, and reliable automated testing solutions across our enterprise platforms. This senior technical role combines deep Java engineering expertise, advanced test automation, media/streaming domain knowledge, and modern CI/CD practices to accelerate quality, reduce risk, and ensure world-class customer experiences across CTV, SmartTV, mobile, and web. You will be a senior technical leader within the Global Quality Engineering (GQE) organization. You will use and enhance our existing departmental automation framework, define quality strategies, and mentor engineers across GQE to elevate testing maturity and engineering excellence. You will also drive AI-augmented development and testing practices using GitHub Copilot (in-IDE), Cursor, and similar tools. Key Responsibilities Automation Framework Architecture • Enhance and extend our existing Java-based departmental test automation framework supporting API, UI, Mobile, CTV/SmartTV, and integration testing; introduce reusable libraries, utilities, and patterns to improve stability and scale. • Establish scalable patterns for reusable test components, data management, assertions, parallelization, and distributed execution. • Integrate the framework deeply into CI/CD pipelines to support shift-left testing and continuous quality. AI-Augmented Quality Engineering • Champion AI-assisted development and testing using tools such as GitHub Copilot (IDE), Cursor, and LLM-based assistants to improve developer productivity, test authoring velocity, code reviews, and defect triage. • Apply prompt engineering and retrieval techniques to accelerate test case generation, log/telemetry summarization, video-quality anomaly detection, and root-cause analysis. • Evaluate and integrate functional AI capabilities that measurably reduce flakiness, false positives, and triage time within the existing framework. Media & Multi-Platform Quality • Expand automation coverage for video playback, streaming resiliency, DRM flows, SSAI/CSAI ad insertion, captions/subtitles, and content protection. • Validate QoE metrics (startup time, rebuffering ratio, frame drops, video/audio sync, error recovery) across Roku, Fire TV, Android TV/Google TV, Samsung Tizen, LG webOS, Apple TV, iOS/Android mobile apps, and modern web players. • Leverage media tooling such as ffmpeg/ffprobe, Charles/Fiddler, and player inspection APIs for diagnostics and validation. Quality Engineering Technical Leadership • Define technical strategy for automated testing across services, microservices, UIs, mobile apps, and OTT/CTV applications leveraging the departmental framework. • Ensure consistent adoption of engineering best practices, coding standards, and high-quality test development patterns. • Lead the evaluation and adoption of modern automation technologies and quality platforms. Cross Functional Collaboration • Partner with Video Engineering, Playback/Player, Ads/Monetization, CDN/Streaming Operations, and Platform teams to ensure robust validation of streaming experiences and ad workflows. • Collaborate with Product to ensure test coverage aligns to business priorities and quality goals. • Work closely with Platform and Data Engineering to support scalable test environments, quality data, and telemetry. Technical Execution • Design and implement complex automated test suites using Java, Selenium, Appium, JMeter, Locust, REST-Assured, TestNG/JUnit, and related tooling within the existing framework. • Build and optimize testing strategies including API/contract, integration, performance/reliability, and device-level testing for CTV/SmartTV, mobile, and web. • Diagnose and tackle issues related to automation reliability, environment instability, device fragmentation, and system integration. Required Qualifications • 7+ years of experience in software engineering or quality engineering with robust Java development expertise. • Demonstrated experience using and enhancing an existing enterprise/departmental automation framework. • Deep expertise in common test automation tools (Selenium, Appium, Playwright, REST-Assured, TestNG, JUnit, Maven/Gradle). • AI experience (must-have): hands-on use of AI-assisted development tools. This includes tools like Claude Code, GitHub Copilot (IDE), Cursor, or similar. Candidates should also have useful prompt engineering skills for code and tests. LLMs are leveraged for tasks such as generating tests, suggesting code reviews, summarizing logs, and speeding up triage. • Strong knowledge of CI/CD tools (Jenkins, GitHub Actions, GitLab CI, Argo, Spinnaker) and quality gates. • Proven experience testing media/streaming applications across CTV (Roku, Fire TV, Android TV/Google TV), SmartTV (Tizen/webOS), iOS/Android mobile, and web. • Hands-on validation of HLS/DASH, ABR, DRM, captions/subtitles, and QoE metrics. • Cloud experience (GCP, AWS, or Azure) and containerization (Docker, Kubernetes). • Solid knowledge of software design patterns, data structures, and core engineering principles. Preferred Qualifications • Experience mentoring engineers or leading cross-functional automation initiatives. • Familiarity with observability and APM tools (Grafana, Prometheus, NewRelic, DataDog) and media telemetry(Conviva, MUX, NPAW etc). • Experience with contract testing (PACT), service virtualization, or synthetic media test data. • Exposure to CTV/SmartTV automation stacks and remote device labs. Key Competencies • Technical leadership - ability to guide teams and evolve automation coverage. • Quality mindset - commitment to reliability, maintainability, and continuous improvement. • AI fluency - judgment on where AI adds measurable value in testing. • Systems thinking - knowledge of distributed systems and complex media pipelines. • Ownership - ability to drive initiatives end-to-end with autonomy. Success Metrics • Increased automation coverage across CTV/SmartTV, mobile, and web; reduced manual regression. • Measurable reduction in escaped defects and media playback incidents. • Improved stability and reliability of automated pipelines and device runs. • Faster release cycles through scalable, AI-augmented automation. • Broad adoption and consistent usage of the GQE test framework across teams Paramount+, a direct-to-consumer digital subscription video on-demand and live streaming service from Paramount Global, combines live sports, breaking news, and a mountain of entertainment. The premium streaming service features an expansive library of original series, hit shows and popular movies across every genre from world-renowned brands and production studios, including BET, CBS, Comedy Central, MTV, Nickelodeon, Paramount Pictures and the Smithsonian Channel. The service is also the streaming home to unmatched sports programming, including every CBS Sports event, from golf to football to basketball and more, plus exclusive streaming rights for major sports properties, including some of the world's biggest and most popular soccer leagues. Paramount+ also enables subscribers to stream local CBS stations live across the U.S. in addition to the ability to stream Paramount Streaming's other live channels: CBSN for 24/7 news, CBS Sports HQ for sports news and analysis, and ET Live for entertainment coverage. ADDITIONAL INFORMATION Hiring Salary Range: $124 000.00. The hiring salary range for this position applies to New York, California, Colorado, Washington state, and most other geographies. Starting pay for the successful applicant depends on a variety of job-related factors, including but not limited to geographic location, market demands, experience, training, and education. The benefits available for this position include medical, dental, vision, 401(k) plan, life insurance coverage, disability benefits, tuition assistance program and PTO or, if applicable, as otherwise dictated by the appropriate Collective Bargaining Agreement. This position is bonus eligible. What We Offer: Attractive compensation and comprehensive benefits packages. Check out our full list of benefits here: Generous paid time off. An exciting and fulfilling opportunity to be part of one of Paramount's most dynamic teams. Opportunities for both on-site and virtual engagement events. Unique opportunities to make meaningful connections and build a vibrant community, both inside and outside the workplace. Explore life at Paramount: . click apply for full job details
on a mission to unleash the power of content you in? We've got the brands, we've got the stars, we've got thepowerto achieve our mission to entertain the planet - now all we're missing is YOU! Becoming a part of Paramount means joining a team of passionate people who not only recognize the power of content but also enjoy a touch of fun and uniqueness. Together, we co-create moments that matter - both for our audiences and our employees - and aim to leave a positive mark on culture. Job Title: Lead Software Engineer in Test Team: Global Quality Engineering Location: New York City, Los Angeles, San Francisco Overview Paramount Skydance Corp. is seeking a Staff Software Engineer in Test to design, architect, and deliver high-quality, scalable, and reliable automated testing solutions across our enterprise platforms. This senior technical role combines deep Java engineering expertise, advanced test automation, media/streaming domain knowledge, and modern CI/CD practices to accelerate quality, reduce risk, and ensure world-class customer experiences across CTV, SmartTV, mobile, and web. You will be a senior technical leader within the Global Quality Engineering (GQE) organization. You will use and enhance our existing departmental automation framework, define quality strategies, and mentor engineers across GQE to elevate testing maturity and engineering excellence. You will also drive AI-augmented development and testing practices using GitHub Copilot (in-IDE), Cursor, and similar tools. Key Responsibilities Automation Framework Architecture • Enhance and extend our existing Java-based departmental test automation framework supporting API, UI, Mobile, CTV/SmartTV, and integration testing; introduce reusable libraries, utilities, and patterns to improve stability and scale. • Establish scalable patterns for reusable test components, data management, assertions, parallelization, and distributed execution. • Integrate the framework deeply into CI/CD pipelines to support shift-left testing and continuous quality. AI-Augmented Quality Engineering • Champion AI-assisted development and testing using tools such as GitHub Copilot (IDE), Cursor, and LLM-based assistants to improve developer productivity, test authoring velocity, code reviews, and defect triage. • Apply prompt engineering and retrieval techniques to accelerate test case generation, log/telemetry summarization, video-quality anomaly detection, and root-cause analysis. • Evaluate and integrate functional AI capabilities that measurably reduce flakiness, false positives, and triage time within the existing framework. Media & Multi-Platform Quality • Expand automation coverage for video playback, streaming resiliency, DRM flows, SSAI/CSAI ad insertion, captions/subtitles, and content protection. • Validate QoE metrics (startup time, rebuffering ratio, frame drops, video/audio sync, error recovery) across Roku, Fire TV, Android TV/Google TV, Samsung Tizen, LG webOS, Apple TV, iOS/Android mobile apps, and modern web players. • Leverage media tooling such as ffmpeg/ffprobe, Charles/Fiddler, and player inspection APIs for diagnostics and validation. Quality Engineering Technical Leadership • Define technical strategy for automated testing across services, microservices, UIs, mobile apps, and OTT/CTV applications leveraging the departmental framework. • Ensure consistent adoption of engineering best practices, coding standards, and high-quality test development patterns. • Lead the evaluation and adoption of modern automation technologies and quality platforms. Cross Functional Collaboration • Partner with Video Engineering, Playback/Player, Ads/Monetization, CDN/Streaming Operations, and Platform teams to ensure robust validation of streaming experiences and ad workflows. • Collaborate with Product to ensure test coverage aligns to business priorities and quality goals. • Work closely with Platform and Data Engineering to support scalable test environments, quality data, and telemetry. Technical Execution • Design and implement complex automated test suites using Java, Selenium, Appium, JMeter, Locust, REST-Assured, TestNG/JUnit, and related tooling within the existing framework. • Build and optimize testing strategies including API/contract, integration, performance/reliability, and device-level testing for CTV/SmartTV, mobile, and web. • Diagnose and tackle issues related to automation reliability, environment instability, device fragmentation, and system integration. Required Qualifications • 7+ years of experience in software engineering or quality engineering with robust Java development expertise. • Demonstrated experience using and enhancing an existing enterprise/departmental automation framework. • Deep expertise in common test automation tools (Selenium, Appium, Playwright, REST-Assured, TestNG, JUnit, Maven/Gradle). • AI experience (must-have): hands-on use of AI-assisted development tools. This includes tools like Claude Code, GitHub Copilot (IDE), Cursor, or similar. Candidates should also have useful prompt engineering skills for code and tests. LLMs are leveraged for tasks such as generating tests, suggesting code reviews, summarizing logs, and speeding up triage. • Strong knowledge of CI/CD tools (Jenkins, GitHub Actions, GitLab CI, Argo, Spinnaker) and quality gates. • Proven experience testing media/streaming applications across CTV (Roku, Fire TV, Android TV/Google TV), SmartTV (Tizen/webOS), iOS/Android mobile, and web. • Hands-on validation of HLS/DASH, ABR, DRM, captions/subtitles, and QoE metrics. • Cloud experience (GCP, AWS, or Azure) and containerization (Docker, Kubernetes). • Solid knowledge of software design patterns, data structures, and core engineering principles. Preferred Qualifications • Experience mentoring engineers or leading cross-functional automation initiatives. • Familiarity with observability and APM tools (Grafana, Prometheus, NewRelic, DataDog) and media telemetry(Conviva, MUX, NPAW etc). • Experience with contract testing (PACT), service virtualization, or synthetic media test data. • Exposure to CTV/SmartTV automation stacks and remote device labs. Key Competencies • Technical leadership - ability to guide teams and evolve automation coverage. • Quality mindset - commitment to reliability, maintainability, and continuous improvement. • AI fluency - judgment on where AI adds measurable value in testing. • Systems thinking - knowledge of distributed systems and complex media pipelines. • Ownership - ability to drive initiatives end-to-end with autonomy. Success Metrics • Increased automation coverage across CTV/SmartTV, mobile, and web; reduced manual regression. • Measurable reduction in escaped defects and media playback incidents. • Improved stability and reliability of automated pipelines and device runs. • Faster release cycles through scalable, AI-augmented automation. • Broad adoption and consistent usage of the GQE test framework across teams Paramount+, a direct-to-consumer digital subscription video on-demand and live streaming service from Paramount Global, combines live sports, breaking news, and a mountain of entertainment. The premium streaming service features an expansive library of original series, hit shows and popular movies across every genre from world-renowned brands and production studios, including BET, CBS, Comedy Central, MTV, Nickelodeon, Paramount Pictures and the Smithsonian Channel. The service is also the streaming home to unmatched sports programming, including every CBS Sports event, from golf to football to basketball and more, plus exclusive streaming rights for major sports properties, including some of the world's biggest and most popular soccer leagues. Paramount+ also enables subscribers to stream local CBS stations live across the U.S. in addition to the ability to stream Paramount Streaming's other live channels: CBSN for 24/7 news, CBS Sports HQ for sports news and analysis, and ET Live for entertainment coverage. ADDITIONAL INFORMATION Hiring Salary Range: $124 000.00. The hiring salary range for this position applies to New York, California, Colorado, Washington state, and most other geographies. Starting pay for the successful applicant depends on a variety of job-related factors, including but not limited to geographic location, market demands, experience, training, and education. The benefits available for this position include medical, dental, vision, 401(k) plan, life insurance coverage, disability benefits, tuition assistance program and PTO or, if applicable, as otherwise dictated by the appropriate Collective Bargaining Agreement. This position is bonus eligible. What We Offer: Attractive compensation and comprehensive benefits packages. Check out our full list of benefits here: Generous paid time off. An exciting and fulfilling opportunity to be part of one of Paramount's most dynamic teams. Opportunities for both on-site and virtual engagement events. Unique opportunities to make meaningful connections and build a vibrant community, both inside and outside the workplace. Explore life at Paramount: . click apply for full job details
09/25/2026
Full time
on a mission to unleash the power of content you in? We've got the brands, we've got the stars, we've got thepowerto achieve our mission to entertain the planet - now all we're missing is YOU! Becoming a part of Paramount means joining a team of passionate people who not only recognize the power of content but also enjoy a touch of fun and uniqueness. Together, we co-create moments that matter - both for our audiences and our employees - and aim to leave a positive mark on culture. Job Title: Lead Software Engineer in Test Team: Global Quality Engineering Location: New York City, Los Angeles, San Francisco Overview Paramount Skydance Corp. is seeking a Staff Software Engineer in Test to design, architect, and deliver high-quality, scalable, and reliable automated testing solutions across our enterprise platforms. This senior technical role combines deep Java engineering expertise, advanced test automation, media/streaming domain knowledge, and modern CI/CD practices to accelerate quality, reduce risk, and ensure world-class customer experiences across CTV, SmartTV, mobile, and web. You will be a senior technical leader within the Global Quality Engineering (GQE) organization. You will use and enhance our existing departmental automation framework, define quality strategies, and mentor engineers across GQE to elevate testing maturity and engineering excellence. You will also drive AI-augmented development and testing practices using GitHub Copilot (in-IDE), Cursor, and similar tools. Key Responsibilities Automation Framework Architecture • Enhance and extend our existing Java-based departmental test automation framework supporting API, UI, Mobile, CTV/SmartTV, and integration testing; introduce reusable libraries, utilities, and patterns to improve stability and scale. • Establish scalable patterns for reusable test components, data management, assertions, parallelization, and distributed execution. • Integrate the framework deeply into CI/CD pipelines to support shift-left testing and continuous quality. AI-Augmented Quality Engineering • Champion AI-assisted development and testing using tools such as GitHub Copilot (IDE), Cursor, and LLM-based assistants to improve developer productivity, test authoring velocity, code reviews, and defect triage. • Apply prompt engineering and retrieval techniques to accelerate test case generation, log/telemetry summarization, video-quality anomaly detection, and root-cause analysis. • Evaluate and integrate functional AI capabilities that measurably reduce flakiness, false positives, and triage time within the existing framework. Media & Multi-Platform Quality • Expand automation coverage for video playback, streaming resiliency, DRM flows, SSAI/CSAI ad insertion, captions/subtitles, and content protection. • Validate QoE metrics (startup time, rebuffering ratio, frame drops, video/audio sync, error recovery) across Roku, Fire TV, Android TV/Google TV, Samsung Tizen, LG webOS, Apple TV, iOS/Android mobile apps, and modern web players. • Leverage media tooling such as ffmpeg/ffprobe, Charles/Fiddler, and player inspection APIs for diagnostics and validation. Quality Engineering Technical Leadership • Define technical strategy for automated testing across services, microservices, UIs, mobile apps, and OTT/CTV applications leveraging the departmental framework. • Ensure consistent adoption of engineering best practices, coding standards, and high-quality test development patterns. • Lead the evaluation and adoption of modern automation technologies and quality platforms. Cross Functional Collaboration • Partner with Video Engineering, Playback/Player, Ads/Monetization, CDN/Streaming Operations, and Platform teams to ensure robust validation of streaming experiences and ad workflows. • Collaborate with Product to ensure test coverage aligns to business priorities and quality goals. • Work closely with Platform and Data Engineering to support scalable test environments, quality data, and telemetry. Technical Execution • Design and implement complex automated test suites using Java, Selenium, Appium, JMeter, Locust, REST-Assured, TestNG/JUnit, and related tooling within the existing framework. • Build and optimize testing strategies including API/contract, integration, performance/reliability, and device-level testing for CTV/SmartTV, mobile, and web. • Diagnose and tackle issues related to automation reliability, environment instability, device fragmentation, and system integration. Required Qualifications • 7+ years of experience in software engineering or quality engineering with robust Java development expertise. • Demonstrated experience using and enhancing an existing enterprise/departmental automation framework. • Deep expertise in common test automation tools (Selenium, Appium, Playwright, REST-Assured, TestNG, JUnit, Maven/Gradle). • AI experience (must-have): hands-on use of AI-assisted development tools. This includes tools like Claude Code, GitHub Copilot (IDE), Cursor, or similar. Candidates should also have useful prompt engineering skills for code and tests. LLMs are leveraged for tasks such as generating tests, suggesting code reviews, summarizing logs, and speeding up triage. • Strong knowledge of CI/CD tools (Jenkins, GitHub Actions, GitLab CI, Argo, Spinnaker) and quality gates. • Proven experience testing media/streaming applications across CTV (Roku, Fire TV, Android TV/Google TV), SmartTV (Tizen/webOS), iOS/Android mobile, and web. • Hands-on validation of HLS/DASH, ABR, DRM, captions/subtitles, and QoE metrics. • Cloud experience (GCP, AWS, or Azure) and containerization (Docker, Kubernetes). • Solid knowledge of software design patterns, data structures, and core engineering principles. Preferred Qualifications • Experience mentoring engineers or leading cross-functional automation initiatives. • Familiarity with observability and APM tools (Grafana, Prometheus, NewRelic, DataDog) and media telemetry(Conviva, MUX, NPAW etc). • Experience with contract testing (PACT), service virtualization, or synthetic media test data. • Exposure to CTV/SmartTV automation stacks and remote device labs. Key Competencies • Technical leadership - ability to guide teams and evolve automation coverage. • Quality mindset - commitment to reliability, maintainability, and continuous improvement. • AI fluency - judgment on where AI adds measurable value in testing. • Systems thinking - knowledge of distributed systems and complex media pipelines. • Ownership - ability to drive initiatives end-to-end with autonomy. Success Metrics • Increased automation coverage across CTV/SmartTV, mobile, and web; reduced manual regression. • Measurable reduction in escaped defects and media playback incidents. • Improved stability and reliability of automated pipelines and device runs. • Faster release cycles through scalable, AI-augmented automation. • Broad adoption and consistent usage of the GQE test framework across teams Paramount+, a direct-to-consumer digital subscription video on-demand and live streaming service from Paramount Global, combines live sports, breaking news, and a mountain of entertainment. The premium streaming service features an expansive library of original series, hit shows and popular movies across every genre from world-renowned brands and production studios, including BET, CBS, Comedy Central, MTV, Nickelodeon, Paramount Pictures and the Smithsonian Channel. The service is also the streaming home to unmatched sports programming, including every CBS Sports event, from golf to football to basketball and more, plus exclusive streaming rights for major sports properties, including some of the world's biggest and most popular soccer leagues. Paramount+ also enables subscribers to stream local CBS stations live across the U.S. in addition to the ability to stream Paramount Streaming's other live channels: CBSN for 24/7 news, CBS Sports HQ for sports news and analysis, and ET Live for entertainment coverage. ADDITIONAL INFORMATION Hiring Salary Range: $124 000.00. The hiring salary range for this position applies to New York, California, Colorado, Washington state, and most other geographies. Starting pay for the successful applicant depends on a variety of job-related factors, including but not limited to geographic location, market demands, experience, training, and education. The benefits available for this position include medical, dental, vision, 401(k) plan, life insurance coverage, disability benefits, tuition assistance program and PTO or, if applicable, as otherwise dictated by the appropriate Collective Bargaining Agreement. This position is bonus eligible. What We Offer: Attractive compensation and comprehensive benefits packages. Check out our full list of benefits here: Generous paid time off. An exciting and fulfilling opportunity to be part of one of Paramount's most dynamic teams. Opportunities for both on-site and virtual engagement events. Unique opportunities to make meaningful connections and build a vibrant community, both inside and outside the workplace. Explore life at Paramount: . click apply for full job details
