Your responsibilities
Backend & integration (Java)
Design, build, test, and maintain Java services and integrations that support core business platforms.
Develop and operate event‑driven and distributed systems using messaging technologies such as Kafka, RabbitMQ, SonicMQ, or similar.
Apply strong object‑oriented design, domain‑driven design (DDD), and proven patterns to create maintainable, testable software.
Collaborate with engineers, architects, and stakeholders to translate requirements into scalable technical designs and working software.
Front end (Angular & UI)
Build and maintain Angular user interfaces that are performant, accessible, and intuitive.
Work with Product and UX partners to shape user journeys, UI flows, and robust front‑end implementations.
Integrate Angular applications with backend APIs and event‑driven workflows to deliver a consistent end‑to‑end experience.
Contribute to UI quality via component design, state management, error handling, and pragmatic testing approaches.
Engineering excellence & operations
Own work end‑to‑end across the SDLC: design, development, testing, deployment, and production support.
Improve CI/CD pipelines so changes ship safely, predictably, and frequently.
Build and maintain observability (metrics, logs, traces) and use it to improve reliability and performance.
Contribute to operational and security automation to reduce toil and speed up incident response.
Participate in code reviews, promote engineering best practices, and mentor junior engineers through guidance and pairing.
Ensure solutions meet enterprise cybersecurity, development, and compliance requirements.
AI‑Assisted Development and Modern Engineering Practices
Use AI‑assisted development tools to improve productivity, code quality, and solution design.
Prompt effectively and validate AI‑generated output for correctness, security, maintainability, and alignment with standards.
Apply AI‑assisted workflows to day‑to‑day tasks such as refactoring, test creation, documentation, and troubleshooting.
Understand governance considerations (data privacy, intellectual property, and responsible usage) in an enterprise environment.