[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 Staff Machine Learning Engineer - DevOps Santa Clara, CALIFORNIA, United States Full-time Senior individual contributor $201,300 - $352,300 Software Engineering Listed on ServiceNow’s official careers site. Posted October 14, 2026. Check that it is still open and apply there. [Apply on ServiceNow’s careers site →](https://jobs.smartrecruiters.com/ServiceNow/744000155595247-senior-staff-machine-learning-engineer-devops) [OpenNash Jobs](https://jobs.opennash.com/) / [ServiceNow](https://jobs.opennash.com/companies/servicenow/) / Senior Staff Machine Learning Engineer - DevOps ## Job description ### What you get to do in this role Please note that this role requires you to be in our Santa Clara office for two days per week. About the team - The AI Services Platform Group 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. We are seeking a Senior Staff Machine Learning Engineer (DevOps) to lead the architecture, optimization, and operational excellence of our AI inference platform. You will own the end-to-end inference lifecycle—from onboarding cutting-edge models to deploying optimized inference engines in production across multiple backends on Kubernetes infrastructure. You'll also architect the intelligent gateway layer using Envoy and ext_proc to enforce access control, provide observability, and enable advanced request routing. This role combines deep technical expertise in GPU compute, LLM APIs, inference frameworks, containerization, orchestration, and API gateway architecture with a bias toward pragmatic engineering and measurable performance impact. ## Qualifications To be successful in this role you have: Expertise in Go or Python, OOP, 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: 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. AI skills Artificial intelligence strategy is a critical skill at Experienced proficiency for IC5 — it applies to how you build and to what you build. 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. ### Mandatory minimum - 8+ years of Backend software engineering experience - 4+ years of designing and operating distributed systems - 3+ years of Kubernetes in production, including Helm and CI/CD Bachelor’s degree in computer science, software engineering, or a closely related technical field required. A master’s degree may offset up to one year of the experience minimum. Equivalent practical experience is considered where technical depth is clearly demonstrable. For positions in this location, we offer a base pay of $201,300 - $352,300, 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 14, 2026 - First seen by OpenNash: Oct 10, 2026 - Last checked: Oct 17, 2026 - Listed for: 7 days - Location: Santa Clara, CALIFORNIA, United States - Employment type: Full-time - Pay: $201,300 - $352,300[Apply on ServiceNow’s careers site →](https://jobs.smartrecruiters.com/ServiceNow/744000155595247-senior-staff-machine-learning-engineer-devops) ## 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 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 ### [Staff Machine Learning Software Engineer](https://jobs.opennash.com/companies/qualcomm/jobs/1c015546a5addf14b5ac/) Qualcomm · San Diego, California, United States of America ### [AI Machine Learning Engineering Staff](https://jobs.opennash.com/companies/lockheed-martin/jobs/a50fa89c9d061673bf86/) Lockheed Martin · Virtual Three, TX ### [A/AI Machine Learning Engineering Staff - Clearance Required](https://jobs.opennash.com/companies/lockheed-martin/jobs/fee14b837ea19e8438a2/) Lockheed Martin · Huntsville, AL ### [Senior Machine Learning Engineer](https://jobs.opennash.com/companies/microsoft/jobs/a28bc03521860e161cf2/) Microsoft · United States, Massachusetts, Cambridge OpenNash lists jobs from employers’ own careers sites and does not handle applications. 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