
Senior Java Engineer, Python
Posted Sep 7

Posted Sep 7
This is a fully remote position, open to applicants in United Kingdom.
• Design, develop, and sustain scalable backend services and APIs, primarily utilizing Java.
• Produce high-quality production code as a fundamental aspect of daily tasks.
• Contribute to Python services and codebases as needed.
• Engage with approximately three to four interconnected microservices.
• Make impactful technical and architectural decisions.
• Decompose complex requirements and direct their technical execution.
• Review code and establish robust engineering standards.
• Mentor engineers and provide technical direction without formal line-management responsibilities.
• Collaborate with Product Owners to assess requirements, trade-offs, and delivery strategies.
• Develop and manage cloud-native services, primarily on AWS.
• Deploy and operate containerized applications using Kubernetes and Docker.
• Work alongside DevOps engineers on CI/CD, deployment, scalability, and reliability.
• Leverage data, analytics, and operational insights to inform technical choices.
• Participate in testing, documentation, and continuous improvement throughout the software development lifecycle (SDLC).
• Promote the adoption of AI-assisted engineering tools and solutions where suitable.
• A minimum of 5 years of professional experience in backend engineering.
• Strong, recent, and hands-on commercial experience with Java.
• Demonstrated experience in designing and developing microservices or distributed systems.
• Professional experience contributing to production Python codebases.
• In-depth knowledge of AWS and cloud-native application architecture.
• Solid hands-on experience with Kubernetes and Docker.
• Experience in designing and integrating REST APIs.
• Good understanding of SQL and relational databases.
• Practical experience with CI/CD pipelines and contemporary software delivery practices.
• Experience in influencing architecture or leading technical decisions.
• Capable of reviewing code and mentoring fellow engineers.
• Strong understanding of testing, maintainability, and production code quality.
• Ability to manage multiple services and technical priorities simultaneously.
• Excellent communication skills, with the ability to engage with both technical and product stakeholders.
• Professional working proficiency in English (C1+).
• Experience with Azure in addition to AWS.
• Familiarity with building or integrating AI-enabled products.
• Knowledge of analytics, data processing, or event-driven systems.
• Experience working in an international, distributed engineering environment.
• Prior experience supporting multiple engineering teams or product areas.
• Long-term B2B engagement.
• More than 20 days of paid time off.
• Provision of Apple equipment.
• Training and professional development budget.
• Opportunity to collaborate on AI-powered systems utilized internationally.
• Work alongside experienced, multidisciplinary engineering teams.
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