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.