[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All ServiceNow jobs](https://jobs.opennash.com/companies/servicenow/) · [Search jobs](/search/) ServiceNow · Santa Clara, CA # Senior (DevOps) Machine Learning Engineer - Federal Santa Clara, CALIFORNIA, United States Full-time Senior individual contributor $161,300 - $274,200 Software Engineering Listed on ServiceNow’s official careers site. Posted October 5, 2026. Check that it is still open and apply there. [Apply on ServiceNow’s careers site →](https://jobs.smartrecruiters.com/ServiceNow/744000153415109-senior-devops-machine-learning-engineer-federal) [OpenNash Jobs](https://jobs.opennash.com/) / [ServiceNow](https://jobs.opennash.com/companies/servicenow/) / Senior (DevOps) Machine Learning Engineer - Federal ## Job description ### What you get to do in this role The Advanced Technology Group (ATG) at ServiceNow is a customer-focused innovation group building intelligent software and smart user experiences using existing and latest advanced technologies to enable end-to-end, industry-leading work experiences for customers. We are a group of researchers, applied scientists, engineers, and product managers with a dual mission. We build and evolve the AI platform, and partner with teams to build products and end-to-end AI-powered work experiences. In equal measure, we lay the foundations, research, experiment, and de-risk AI technologies that unlock new work experiences in the future. You will play a major part in building AI and Machine Learning (ML) solutions that transform the user experience and workflow efficiency of enterprise services. Traditional analytical tools tend to require a technically knowledgeable user to produce even simple results. We are taking a completely fresh approach with the expectation that any user, regardless of technical knowledge, can use the AI/ML solutions we develop to operate the services in the enterprise setting in a thoughtful and scalable manner. We are just getting started with our early-adopter customers and we need your help in building and making available an amazing range of solutions to our 5k+ enterprise customers around the world. - Build the best cloud-based AI/ML solutions to power intelligent enterprise services - Collaborate daily with a team of like-minded developers, product managers and quality engineers to produce quality software - Work with product owners to understand detailed requirements and own your code from design, implementation, testing and delivery of high-quality solutions to our users ## Qualifications To be successful in this role you have: Expertise in Go or Python, Design Patterns, time and space-efficient algorithms Experience building new products that use challenging algorithms Expertise in coding efficient, object-oriented, modularized and quality software - Knowledge of core AI/ML techniques and algorithms - Knowledge of unit testing, profiling, and code tuning DevOps requirements - Deploy, scale, and operate services in production Kubernetes environments, including Helm-based deployments and CI/CD pipelines that make releases repeatable and safe to roll back. Own observability for what you build — meaningful metrics, useful logs, real tracing, and alerts that fire on customer impact rather than on noise. Debug and resolve production incidents independently, participate in on-call, run root-cause analysis, and operate against defined service level objectives Desired skills but not required: Confident use of AI coding assistants such as GitHub Copilot or Cursor, paired with the critical eye to review AI-generated code as rigorously as any other — catching logic errors, security anti-patterns, and missed edge cases rather than treating model output as production-ready. AI-assisted debugging and trace analysis, and a clear understanding of the data privacy rules governing what goes into a prompt. For positions in this location, we offer a base pay of $161,300 - $274,200, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location. ## At a glance - Posted by the employer: Oct 5, 2026 - First seen by OpenNash: Oct 10, 2026 - Last checked: Oct 17, 2026 - Listed for: 12 days - Location: Santa Clara, CALIFORNIA, United States - Employment type: Full-time - Pay: $161,300 - $274,200[Apply on ServiceNow’s careers site →](https://jobs.smartrecruiters.com/ServiceNow/744000153415109-senior-devops-machine-learning-engineer-federal) ## More jobs at ServiceNow ### [AI Engineering - Assoc Software Engineer Internships - Summer 2027 (Bachelors)](https://jobs.opennash.com/companies/servicenow/jobs/a0b97b7c533bcb807e1e/) Santa Clara, CALIFORNIA, United States ### [AI Engineering - Software Engineer Internships - Summer 2027 (Masters)](https://jobs.opennash.com/companies/servicenow/jobs/dbe83dd1ff94d2aa96b6/) Santa Clara, CALIFORNIA, United States ### [Data Platform Software Engineer](https://jobs.opennash.com/companies/servicenow/jobs/477b24f1b3f9a131a2df/) Santa Clara, CALIFORNIA, United States ### [Manager, Software Engineering Omni Channel Management](https://jobs.opennash.com/companies/servicenow/jobs/ab87d29c0ede9d169c04/) Santa Clara, CALIFORNIA, United States ### [Principal Data Platform Software Engineer (Database Operations)](https://jobs.opennash.com/companies/servicenow/jobs/4b87ec72325d1c9aa941/) Santa Clara, CALIFORNIA, United States ## Similar jobs at other companies ### [Senior Machine Learning Engineer](https://jobs.opennash.com/companies/microsoft/jobs/a28bc03521860e161cf2/) Microsoft · United States, Massachusetts, Cambridge ### [Senior Machine Learning Engineer](https://jobs.opennash.com/companies/cvs-health/jobs/6997911d5e1c02b976f9/) CVS Health · New York, NY ### [A/AI Machine Learning Engineer](https://jobs.opennash.com/companies/lockheed-martin/jobs/653cd776436867ec18c7/) Lockheed Martin · Manassas, VA ### [Senior Staff Engineer, Machine Learning Engineering ( On-device Learning SW)](https://jobs.opennash.com/companies/qualcomm/jobs/d561df305202050c72d5/) Qualcomm · San Diego, California, United States of America ### [Lead Machine Learning Engineer](https://jobs.opennash.com/companies/jpmorganchase/jobs/141a8c68ad71af53803f/) JPMorganChase · New York, NY, United States OpenNash lists jobs from employers’ own careers sites and does not handle applications. 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