Senior Software Engineer

This is a fully remote position, open to applicants in United Kingdom.

📋 Description

• Design and implement scalable and secure Java/Spring Boot services, APIs, and integrations.

• Produce maintainable production code and critically evaluate AI-generated designs, code, and tests.

• Advocate for clean architecture, effective design patterns, automated testing, peer review, and coding standards.

• Take ownership of security, quality, performance, and resilience of services, ensuring production reliability.

• Troubleshoot production issues while enhancing observability, automation, CI/CD, and operational tooling.

• Collaborate with AWS Professional Services and Evri colleagues to understand design choices, share knowledge, and develop internal capabilities.

• Facilitate technical discussions with teams in Product, Delivery, Architecture, Testing, and Operations.

• Guide engineers through code reviews, pair programming, collaborative problem-solving, and knowledge sharing.

• Develop and maintain technical documentation, operational runbooks, and knowledge transfer processes.

• Contribute to building internal engineering capabilities for the new platform.

• Establish engineering and operational practices that support long-term growth of the platform.

• This role involves hands-on technical leadership without direct line-management responsibilities.

⛳️ Requirements

• Extensive commercial experience in developing and supporting production-grade backend services.

• Strong practical expertise in Java and Spring Boot, including API design, integrations, testing, and maintainable service development.

• Solid understanding of distributed systems, software architecture, design patterns, security, and scalability.

• Proven capability in taking ownership of services throughout their lifecycle, including deployment, troubleshooting, incident resolution, and continual improvement.

• Hands-on experience with building, deploying, and supporting production services on AWS.

• Demonstrated success in collaborative delivery using Agile and DevOps methodologies.

• Practical experience with CI/CD pipelines, automated testing, monitoring, logging, and observability tools.

• Strong technical judgment, including the ability to assess AI-generated code and designs.

• Familiarity with AI coding tools.

• Excellent communication, collaboration, and problem-solving abilities, particularly when working with external delivery partners.

• A strong commitment to mentoring, knowledge sharing, and raising team standards.

• A keen interest in new engineering practices and the confidence to enhance software development and support.

• A degree in Computer Science or equivalent practical experience.

🏝️ Benefits

• Competitive salary along with bonus and benefits.

• Flexibility for remote working.

• Opportunity to enhance cloud engineering expertise.

• Learn from specialists during project delivery.

• Supportive and collaborative work environment.

• Exposure to practical and responsible applications of AI in software delivery.