SDE III (Backend)

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. This is not a role where AI is limited to autocomplete. We are looking for engineers who have hands-on experience using AI agents as a core part of their software development workflow.
The core responsibilities for the job include the following:
Backend Engineering:
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:
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.
Good to Have:
Experience building custom AI agents, subagents, or MCP servers.
Repository-level prompt/context engineering.
Experience with LLM evaluation, regression testing, or accuracy pipelines.
Experience with New Relic, Datadog, Prometheus/Grafana, or similar observability tools.
Experience with AI-assisted production incident triage.
Exposure to healthcare, FHIR, HL7 or medical coding.
Python for tooling/data workflows.
Experience with PostgreSQL, Elasticsearch, and Neo4j.
Exposure to GCP or AWS.
Tech Stack: Java, Spring Boot, Hibernate/JPA, Microservices, AI/LLM, Agentic SDLC.

Experience
6-10 yrs