Senior Platform Engineer

Why Translucent Healthcare providers drive $2.5 trillion in medical expenditures annually — and operate on razor-thin 2–5% margins. Despite these stakes, the finance teams behind these organizations are buried in spreadsheets, manual data pulls, and disconnected systems, spending more time finding and cleaning data than actually using it to make decisions. Translucent is changing that. We're building the agentic AI platform designed exclusively for healthcare finance— giving every finance team, department, service line their own arsenal of AI Agents that run 24/7, understand their specific data, business logic, and workflows. Founded in 2024 and backed by GV, NEA, FPV, and Virtue, we've already been deployed by healthcare organizations managing over $5 billion in combined revenue. The product-market fit is real, the problem is massive, and we're just getting started. If you want to work at the intersection of AI and one of the most complex, consequential industries in the world — this is the place. About the role We’re hiring a Senior Platform Engineer focussed on supporting and enabling data and AI engineering in New York. You will build and maintain the foundational platform technology that enables our data and agentic AI systems and that form our product. You will build and help maintain infrastructure primarily in GCP and you will partner closely with other platform engineers and product engineers in keeping our core systems fast, correct, secure and well-tested. This is a high-ownership role. You will work directly with a large group of product engineers in enabling our product teams to move fast. What you'll do Build and maintain well-tested applications in Python, Typescript and golang. Build and maintain kubernetes (GKE) deployments and workloads with our preferred gitops approach. We use github, ArgoCD and Kargo. Manage IaC on GCP. Build, help deploy and optimize applications using MongoDB Atlas, PostgresQL and Spanner as backing state stores. Document processes and work to optimize LLM-assisted coding workflows, including optimizing code review strategies. Partner with product engineers to support rapid feature development. Validate software is correct and secure. What we're looking for Must-haves Experience with GCP Strong Kubernetes experience, preferably using GKE (autopilot & standard), strong understanding of the mechanics of workload scaling in GKE Strong experience with relational databases, managing migrations and experience with Mongo. Strong Python, golang and Typescript programming experience. Strong experience with IaC tooling (OpenTofu) - nice to have Atlantis. Strong grounding in the fundamentals of computation, logic, and algorithms. 5+ years of post-university industry experience Nice-to-haves Prior experience in a heavily regulated domain like finance or healthtech. Experience with Vertex (Gemini Enterprise Agent Platform) Experience building and deploying agentic systems Experience building or maintaining Kubernetes operators Experience with honeycomb.io Experience with Backstage Education Bachelor's degree (or higher) in a quantitative discipline: computer science, mathematics, statistics, physical or life sciences, engineering. Location Union Square, New York City. In-office 4 days per week. Anticipated compensation: $200,000 - $250,000 with Equity

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