About the Role:

We are looking for an SDE 3 / Senior Backend Engineer with 6+ years of backend engineering experience and strong expertise in Java, Spring Boot, microservices, system design, and AI-assisted software development. A key part of this role is owning and improving an Agentic SDLC using AI coding agents across design, implementation, code review, testing, debugging, and production monitoring.

Backend Engineering Responsibilities:

- Design, build, and own scalable backend services using Java, Spring Boot, and microservices.

- Own server-side architecture, business logic, data models, APIs, and integrations.

- Drive HLD and LLD for new services and major system refactors.

- Ensure production systems meet requirements for scalability, reliability, performance, and maintainability.

Agentic SDLC Responsibilities:

- Drive the adoption of AI agents across the software development lifecycle.

- Apply agentic tooling to design, implementation, code reviews, testing, debugging, and production monitoring.

- Build reusable workflows, custom agents/subagents, and repository-level context/instruction frameworks.

- Develop MCP integrations with internal systems such as Jira, BigQuery, observability platforms, and documentation.

- Establish standards for reviewing and validating AI-generated code.

- Measure and improve engineering workflows using metrics such as cycle time, review turnaround, test coverage, and escaped defects.

- Enable engineers to effectively adopt AI-assisted development while maintaining appropriate security, licensing, and data-handling guardrails.

Technical Leadership:

- Provide technical direction across teams.

- Lead architecture and cross-functional design discussions.

- Mentor senior and mid-level engineers.

- Make informed build/buy/delegate decisions for engineering and AI tooling.

Requirements:

- 6+ years of backend engineering experience, including 2+ years in a lead/tech lead capacity.

- Strong hands-on expertise in Java, Spring Boot, Hibernate/JPA, and microservices.

- Strong experience with HLD, LLD, system design, and production-scale backend systems.

- Proven experience designing, developing, deploying, and owning microservices in production.

- Hands-on Agentic SDLC experience within the last 12 months, with AI agents being a significant part of your engineering workflow.

- Experience with tools such as Claude Code, Cursor, Codex, Devin, Copilot Workspace/Agent Mode, Aider, or equivalent.

- Experience applying AI agents to at least 3 areas of the SDLC: system/design, implementation, code review, test generation, and production debugging/monitoring.

- Strong understanding of where AI agents can fail, including context limitations, hallucinated APIs, incorrect tests, and review fatigue.

- Strong fundamentals in Git, CI/CD, automated testing, and software development lifecycle.

- Ability to work effectively across multiple teams and influence technical decisions.

Tech Stack:

- Java, Spring Boot, Hibernate/JPA, Microservices, AI/LLM, Agentic SDLC.