Senior Specialist Field Engineer - SaaS

What they’re looking for

• 3+ years in a similar customer-facing technical role (solutions engineering, SRE, field engineering, or similar).
• Comfortable in Python and confident writing and reading code with customers watching.
• Hands-on experience with Docker, Kubernetes, and Infrastructure-as-Code tools like Terraform.
• Solid experience with at least one major cloud platform (AWS, GCP, or Azure); comfortable across more than one is even better.
• Comfortable working in Linux/Unix environments day to day.
• Strong communicator — you can explain a technical idea clearly to an engineer and just as clearly to a customer executive.
• Good at breaking down a messy, open-ended problem into a clear plan, working closely with the customer along the way.
• Able to juggle multiple customers and priorities without dropping the ball, even when things move fast.
• Experience building workshops, playbooks, or enablement content for a field or sales team.
• Background in MLOps or LLMOps, or building ML/AI pipelines end to end.
• Experience with GenAI tooling and working with LLMs.
• Familiarity with data pipeline tools and common integration patterns (identity/access, third-party systems, data flows).
• A track record of shipping reusable technical assets — sample code, demo apps, internal tools — that other engineers picked up and used.
• Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match.

Certifications & checks

US citizenship

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Skills mentioned

Component & hardware replacement · Customer communication · Warehouse operations