Live opening · Posted 2 days ago
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Description supplied by the original job listing.
Requirements:
6+ years in backend engineering, with at least 2 in a lead or tech-lead capacity.
Strong proficiency in Java, Spring Boot, Hibernate/JPA, and microservices.
Demonstrated experience in HLD and LLD and in designing, building, and deploying microservices-based systems in production.
Hands-on agentic SDLC experience within the last 12 months: you have shipped production software where AI agents were a primary part of the workflow. Concretely, experience with tools such as Claude Code, Cursor, Codex, Devin, Copilot Workspace/agent mode, Aider, or equivalent, applied to at least three of design, implementation, code review, test generation, and production debugging/monitoring.
Practical judgment about where agents fail in context management on large codebases, hallucinated APIs, silently wrong tests, review fatigue, and concrete mitigations you've put in place.
Solid grounding in Git, CI/CD, and automated testing, including how these change when a large share of diffs are agent-authored.
Strong SDLC fundamentals and a track record of working with multiple teams.
Nice to have:
Built custom agents, subagents, or MCP servers against internal systems.
Prompt/context engineering at the repo scale (e. g., CLAUDE, MD-style instruction files, retrieval over internal docs, codebase indexing).
Experience with LLM evaluation, regression harnesses, or accuracy pipelines.
Observability tooling (New Relic, Datadog, Prometheus/Grafana) and agent-assisted incident triage.
Healthcare, FHIR/HL7 or medical coding domain exposure.
Python for tooling and data work; PostgreSQL, Elasticsearch, or Neo4j; GCP or AWS.
Experience
6-10 yrs
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