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Responsibilities

Technical Ownership & Leadership

Take end-to-end technical ownership of significant backend systems, features, and integrations.
Translate ambiguous business requirements into well-designed, scalable technical solutions.
Lead technical design discussions and make or influence decisions involving architecture, frameworks, APIs, data models, performance, and implementation approaches.
Identify technical risks early and proactively propose solutions.
Balance short-term delivery requirements with long-term maintainability and platform architecture.
Take accountability for the quality, reliability, and successful delivery of owned solutions.

Mentorship & Engineering Excellence

Mentor and provide technical guidance to junior and mid-level engineers.
Conduct meaningful code reviews that improve both code quality and engineering capability.
Promote clean code, appropriate design patterns, testing, documentation, and engineering best practices.
Help engineers reason through complex technical problems rather than simply providing answers.
Raise engineering standards across the team through knowledge sharing and technical leadership.

Backend Engineering

Design and implement scalable, secure, maintainable, and high-performance backend applications using Java and the Spring ecosystem.
Design and maintain REST APIs and integrations with internal and third-party systems.
Build and evolve microservices and distributed backend systems.
Design appropriate database structures and optimize queries for performance and scalability.
Troubleshoot complex production problems and drive root-cause analysis through permanent resolution.
Identify performance bottlenecks and implement effective solutions.
Write automated tests and maintain high standards for code quality.

Business & Stakeholder Collaboration

Work directly with product, business, engineering, and technical leadership to understand business goals.
Ask the right questions to uncover the actual problem behind a request.
Recommend technical solutions rather than simply implementing requested specifications.
Clearly communicate architecture decisions, technical constraints, risks, and tradeoffs.
Build trust with stakeholders through ownership, follow-through, and sound engineering judgment.

AI-Enabled Engineering

Effectively use modern AI-assisted development tools to accelerate implementation, analysis, debugging, testing, and refactoring.
Critically review AI-generated code rather than accepting generated solutions without engineering validation.
Identify opportunities where AI-enabled workflows can improve engineering productivity while maintaining code quality.

Requirements

7+ years of professional software engineering experience, with substantial hands-on backend development experience.
Advanced Java knowledge, including strong understanding of core Java, object-oriented programming, concurrency, collections, exception handling, and application performance.
Strong hands-on experience with Spring / Spring Boot.
Demonstrated experience designing and building microservices and distributed backend systems.
Strong experience designing and maintaining REST APIs and third-party integrations.
Strong relational database knowledge, including schema design, SQL, query optimization, and performance considerations. MySQL experience is preferred.
Experience with ORM technologies such as JPA/Hibernate or equivalent.
Experience with Git and modern software development practices.
Experience with automated testing and code-quality practices.
Strong hands-on experience AI Code assistants like Claude Code and Codex.
Experience working in Agile development environments.
Practical cloud experience, preferably AWS.