ZscalerSan Jose, California, USA; Santa Clara, California, USA$186k-$265k
JobgetherPosted today
Senior MLOps Platform Engineer {S}
Senior MLOps Platform Engineer {S} at Jobgether scores 12 out of 100 on AI centrality, which makes it a Level 1 role on this board.
AI in this role
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior MLOps Platform Engineer based in United States.
This role is an opportunity to build and operate the infrastructure powering next-generation Agentic AI services at scale.
You will own the end-to-end MLOps foundation across on-premise Kubernetes environments and AWS.
Working alongside data scientists, product engineers, and SREs, you will turn experimental AI models into reliable production services.
Your work will shape architecture, automation, observability, security, and performance for mission-critical applications.
You will help enable thousands of concurrent AI agents through highly available and governed platform capabilities.
The environment emphasizes strong engineering practices, reusable tooling, and continuous improvement.
A flexible schedule is also available within the pay period to support work-life balance.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- How do you monitor a model once it's live, and how do you know it needs retraining?
Adapt your resume
- List these exact terms on your resume: AI Agents and Ml Ops. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
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