lever
Principal Software Engineer - Document Processing (US Remote)
Trend Health Partners
Remote, USA
Full-time
Senior
Remote
USD 165000-180000 yearly / year
Discovered 2 days ago
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- Lead the evolution of our document processing pipeline: designing Step Functions state machines, writing the modular Go services that run inside them, and defining contracts that let workflow steps be swapped in and out cleanly.
- Own the hard problems around processing real-world PDFs reliably at scale — malformed input, structural variance, and performance across documents from a few pages to tens of thousands.
- Build out operational metrics and observability — starting with the document pipeline, extending to other platform areas as needs surface.
- Take a concept from "here's roughly the problem" to a shipped, working solution with minimal hand-holding.
- Mentor and grow the other engineers working in this space, and advocate for the pipeline's forward progress.
- Contribute to database design and query performance across our Postgres/RDS environment.
- Work with OpenSearch for indexing and search functionality tied to document data.
- Support the wider platform ecosystem beyond the core pipeline as needs come up.
- Review code, weigh in on architecture, and help set technical direction for the team.
- Partner with product and engineering leads to turn loose requirements into real technical designs.
- Documented professional software engineering experience, with a track record of shipping and operating production systems — we're looking at what you've built and owned, not just tenure.
- A habit of taking ownership of the problem space, driving the solution, and standing behind your decisions. We don't do blame here — when something goes wrong, we own it, learn, and move forward.
- Strong Go experience, particularly for backend/service work.
- Hands-on experience with document processing at scale — you understand PDF structure and edge cases well enough to reason about performance, reliability, and failure modes across variable real-world input.
- Experience designing and implementing metrics and observability for production systems — deciding what should be measured and building it, not just consuming dashboards someone else built.
- Comfort with AWS serverless patterns: Lambda, Step Functions, ECS, and event-driven architecture generally.
- Solid database fundamentals — schema design, query optimization, troubleshooting performance issues.
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