Operations Engineer

Responsibilities

• Own cross-functional automation projects.

Partner with Operations, Member Care, Finance, Product, Engineering and leadership to understand painful manual processes, define requirements, and deliver durable solutions that eliminate or dramatically reduce that work.

• Deeply understand and document existing processes.

Sit with stakeholders, map current-state workflows step by step, identify where time is being lost and errors are being introduced, and quantify the cost of the status quo so the right problems get prioritized.

• Design elegant automation solutions.

Translate messy, real-world processes into clear, maintainable designs.

Identify the highest-leverage opportunities for automation, choose the right approach, and account for edge cases, failure modes, and the humans who will rely on the output.

• Build, test, and maintain automations.

Develop, test, document, and maintain models, scripts, integrations, and AI-powered workflows that reliably take over manual work, and keep them running as source systems and requirements change.

• Use AI tools as a core part of how you build.

Use Claude and other AI tools to design and build automations — including LLM-powered workflows and agents — while validating outputs, handling errors gracefully, and protecting data quality and trust.

• Translate business ambiguity into solutions.

Lead stakeholder discovery, ask sharp questions, clarify tradeoffs, and convert vague "this takes forever and breaks all the time" complaints into practical, well-scoped deliverables.

• Measure and improve impact. Track the time saved, errors avoided, and throughput gained from the automations shipped, and use that to prioritize the next set of opportunities.
• Monitor and troubleshoot automations.

Identify when an automation breaks or degrades — due to source system changes, schema changes, API changes, or new edge cases — and fix it quickly and durably.

• Raise the bar for the Data team.

Contribute to coding standards, documentation, testing practices, reusable building blocks, and overall trust in the automations the client depends on.

Help free up the rest of the team from reactive manual requests.

• Other duties as assigned.

Requirements

• Approximately 4-5 years of experience in automation, software engineering, scripting-heavy operations, process improvement, data engineering-adjacent work, or a related field; equivalent demonstrated capability will also be considered.
• Strong Python and SQL skills, including writing clean, maintainable code, working with APIs, handling errors and edge cases, and automating multi-step workflows.
• Experience integrating systems and moving data between them via APIs, webhooks, files, or similar.
• Experience working closely with non-technical stakeholders to understand and document how work actually gets done, and to design solutions that fit real-world processes.
• Experience with insurance, healthcare, benefits, claims, commissions, billing, eligibility, carrier files, CRM, member, or agent data.
• Experience translating business questions and pain points into clear requirements and technical deliverables.
• Ability to own projects independently while keeping stakeholders aligned.
• Strong communication skills with both technical and non-technical audiences.
• Excellent problem-solving skills and a proactive, solution-driven mindset.
• Ability to thrive in a fast-paced, high-growth environment with multiple priorities.
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