Key Responsibilities:

• Design, build and maintain scalable backend services and APIs, primarily in Java
• Write production-quality code as a core part of your daily work
• Contribute to Python services and codebases when required
• Work across approximately three to four interconnected microservices
• Make and influence technical and architectural decisions
• Break down complex requirements and guide their technical implementation
• Review code and establish strong engineering standards
• Mentor engineers and provide technical guidance without formal line-management responsibility
• Collaborate with Product Owners to evaluate requirements, trade-offs and delivery approaches
• Build and operate cloud-native services, primarily on AWS
• Deploy and run containerised applications using Kubernetes and Docker
• Work with DevOps engineers on CI/CD, deployment, scalability and reliability
• Use data, analytics and operational insights to support technical decisions
• Contribute to testing, documentation and continuous improvement throughout the SDLC
• Support the adoption of AI-assisted engineering tools and solutions where appropriate
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Requirements:

• At least 5 years of professional backend engineering experience
• Strong, recent and hands-on commercial experience with Java
• Proven experience designing and developing microservices or distributed systems
• Professional experience contributing to production Python codebases
• Strong knowledge of AWS and cloud-native application architecture
• Solid hands-on experience with Kubernetes and Docker
• Experience designing and integrating REST APIs
• Good knowledge of SQL and relational databases
• Practical experience with CI/CD pipelines and modern software-delivery practices
• Experience influencing architecture or leading technical decisions
• Ability to review code and mentor other engineers
• Strong understanding of testing, maintainability and production code quality
• Comfortable working across several services and technical priorities simultaneously
• Strong communication skills and the ability to work with both technical and product stakeholders
• Professional working proficiency in English (C1+)
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Nice to have:

• Experience with Azure alongside AWS
• Experience building or integrating AI-enabled products
• Knowledge of analytics, data-processing or event-driven systems
• Experience working in an international, distributed engineering environment
• Previous experience supporting several engineering teams or product areas
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