About this role
We are seeking a highly skilled and motivated Java Technical Leader to lead and grow a team of Software Engineers delivering scalable, secure, and high-quality backend systems.
In this role, you will combine strong Java architecture expertise, technical leadership, and modern engineering practices, including effective use of AI-assisted tools to improve productivity, quality, and decision-making.
You will work closely with international stakeholders, take end-to-end ownership of technical outcomes, and foster a culture of engineering excellence, continuous learning, and smart adoption of new technologies.
Technical & Team Leadership
• Lead, mentor, and coach a team of Software Engineers, supporting their technical growth and career development.
• Act as a hands-on technical leader, setting coding standards, architectural principles, and best practices.
• Foster a collaborative, inclusive, and learning-oriented team culture with strong ownership and accountability.
• Guide engineers on effective and responsible use of AI tools to enhance daily engineering work (e.g., design, coding, debugging, testing, documentation).
• Proactively identify, troubleshoot, and resolve complex performance or scalability issues.
• Work closely with DevOps/SRE teams to improve CI/CD pipelines, deployment reliability, and runtime stability.
• Drive improvements in system observability, monitoring, and alerting.
• Ensure high standards of code quality through design reviews, code reviews, automated testing, and documentation.
• Design, develop, and review robust Java-based systems using Spring ecosystem and microservices architecture.
Global Collaboration
• Work effectively with cross-functional and international teams (e.g., UK, US).
• Communicate complex technical topics clearly to both technical and non-technical stakeholders.
AI-Augmented Engineering (Big Plus)
• Leverage AI-assisted developer tools (e.g., for code generation, refactoring, test creation, log analysis, incident triage, and documentation) to:
• Improve development speed without compromising quality
• Reduce repetitive manual work
• Support faster debugging and root-cause analysis
• Promote best practices for AI usage, including validation of outputs, security awareness, and IP safety.
• Explore and propose practical AI use cases in backend engineering, and system observability.
Core Java & Backend Expertise
• Strong expertise in Java, including OOP, multithreading, concurrency, collections, and performance tuning.
• Hands-on experience with Spring / Spring Boot, Spring Data, Dependency Injection (DI), and transaction management.
• Solid experience designing and building RESTful APIs and distributed microservices architectures.
• Experience with SQL databases (e.g., PostgreSQL) and NoSQL solutions (e.g., MongoDB, DynamoDB).
• Strong understanding of data modeling, query optimization, and backend performance tuning.
• Hands-on experience with AWS (e.g., EKS, S3, RDS, Lambda).
• Experience with CI/CD pipelines and modern DevOps practices.
• Familiarity with monitoring and logging tools such as DataDog for metrics, logs, and traces.
Ways of Working
• Proficient with GitLab for version control and collaboration.
• Experience working in Agile / Scrum environments.
• Strong problem-solving skills and ability to make sound technical decisions under constraints.
• Bonus / Differentiators
• Proven experience using AI tools in daily engineering work (coding, debugging, testing, design, or operations).
• Ability to mentor others on productive and responsible AI usage.
• Familiarity with Kubernetes (K8s): containerization, deployment, scaling, and service-to-service communication.
• Strong spoken and written English for international collaboration