Requirements 6+ years in backend engineering, with at least 2 years in a lead or tech-lead capacity.

Robust 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 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.

Robust 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 (Current 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.

📌 Software Development Engineer Iii Backend, Java Bengaluru
🏢 GTMfund
📍 Bengaluru