Senior Staff Machine Learning Engineer - DevOps/Site Reliability Engineer

Join ServiceNow's PLATO group as a Senior Staff Machine Learning Engineer - Site Reliability Engineer. Contribute to the design, development, and implementation of infrastructure, platform, deployment, and observability features that power AI workloads. Collaborate with researchers, AI engineers, and infrastructure teams to ensure GPU clusters perform efficiently and remain reliable.

Requirements

• Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving.
• Proficient in prompt engineering and developing LLM based features
• Experience with methods of training and fine tuning large language models, such as distilation, supervised fine-tunning and policy optimization
• Experience in using AI productivity tools such as Cursor, Windsurf, etc
• 8+ years of experience with infrastructure and platform operations, deployments, SRE, and DevOps with a continued focus on improving Platform health
• 6+ years of experience operating highly-available distributed workloads on Kubernetes following a DevOps approach.
• 6+ years of development experience with Python, GoLang, Java or similar languages;
• Experience with DevOps tooling (e.g. Helm / Ansible / Kubernetes / Prometheus /Splunk/ GitLab CI);
• Strong working experience operating distributed systems built on Linux and J2EE;
• Experience with software-defined networking, infrastructure as code and configuration management;
• Experience building software for compliance and security in regulated environments

Benefits

• base pay of $ 197,800 - $ 346,200
• equity (when applicable)
• variable/incentive compensation
• health plans, including flexible spending accounts
• a 401(k) Plan with company match
• ESPP
• matching donations
• a flexible time away plan
• family leave programs