Backend Engineering

The candidate will have responsibilities across the following functions:

Design, build, and own backend services in Java, Spring Boot, and a microservices architecture with real accountability for performance, scalability, and robustness.
Own server-side logic, data models, APIs, and integrations end-to-end.
Drive HLD and LLD for new services and for material refactors of existing ones.
Agentic SDLC ownership.
Own how agentic tooling is applied across our SDLC spec/design, implementation, review, testing, and production monitoring, not just at the coding step.
Build and maintain the scaffolding that makes agents effective on a large codebase: repo-level context and instruction files, custom agents/subagents, slash commands and reusable workflows, MCP integrations to internal systems (Jira, BigQuery, observability, docs).
Define the review bar for agent-generated code: what gets human-reviewed, what gets gated by tests, what never gets delegated.
Instrument and evaluate the workflow cycle time, review turnaround, escape defect rate,



and test coverage on agent-authored changes and iterate based on that data, not vibes.
Raise the team's ceiling: onboard engineers onto these workflows, run internal enablement, and set guardrails for security, licensing, and data handling when agents touch source code and production data.
Leadership: Lead across teams cross-functional design reviews, technical direction, and mentoring senior and mid-level engineers.
Make and defend build/buy/delegate decisions on tooling.

Requirements

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

📌 SDE III (Bengaluru)
🏢 GTMfund
📍 Bengaluru