What you will do:

Backend Development and Collaboration

• Design, develop, and maintain backend services built primarily with Java and Spring Boot.
• Implement REST APIs, service integrations, data processing pipelines, and backend logic supporting our core platform capabilities.
• Write maintainable, testable, and well‑structured code using modern engineering practices.
• Collaborate with frontend, mobile, DevOps, architects, and QA to ensure features are delivered holistically and integrate smoothly across the platform.
• Understand how backend components interact with UIs, cloud infrastructure, data stores, and external systems.
• Participate in design discussions and provide input on architecture, system behavior, performance trade‑offs, and scaling strategies.
• Use GitHub Copilot and other AI tools to accelerate development, improve code quality, and automate repetitive tasks.
• Help establish best practices for responsible, high‑value AI use within the engineering team.
• Participate in experimentation and adoption of new AI‑based development workflows.
• Write and maintain unit tests, integration tests, and automated test scenarios in collaboration with QA.
• Profile and optimize services for performance, throughput, and scalability.
• Contribute to improving observability (metrics, logs, tracing) in coordination with DevOps.
• Participate in code reviews and provide constructive feedback to peers.
• Collaborate with service delivery managers to ensure smooth deployment and production behavior.
• Support occasional troubleshooting efforts for complex defects or production issues.

What you have:

• 5+ years of experience developing backend or full‑stack software, ideally in SaaS environments.
• Strong proficiency in Java, with experience in frameworks like Spring Boot, Spring MVC, and Hibernate.
• Ability to understand end‑to‑end system design, data flows, integration points, and how cloud‑native systems behave in production.
• Experience with cloud platforms (AWS preferred) and containerization/orchestration (Docker, Kubernetes).
• Hands‑on experience with Git, build tools (Maven/Gradle), CI/CD pipelines, and modern development practices.
• A mindset focused on learning, growth, and continuous improvement, including adoption of AI‑assisted development tools.
• Exposure to observability tools (logs, metrics, traces) and performance debugging.
• Strong communication and collaboration skills—comfortable working with cross‑functional teams.
• Degree in Computer Science/Engineering or equivalent real‑world experience.
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