JPMorgan Lead Software Engineer - Backend 

United Kingdom, England, London 

677615524

Job responsibilities:

• Lead a team of 4 backend engineers with scope to increase
• Identify skill gaps and help grow the team as needed
• Drive greenfield projects and set standards for excellence in design, implementation, and delivery
• Develop secure high-quality production code, review and debug code written by others
• Enforce best practices in coding, testing, and code reviews
• Influence organisational level architecture, design patterns and practices, and standards
• Work with product managers to align technical work with business goals and break down product requirements into actionable technical tasks
• Provide operational support of production systems within a you-build-it-you-run-it culture
• Lead communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
• Refine and improve development and deployment processes
• Add to team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities and skills

• Proven ability to lead and mentor a team of engineers, fostering collaboration and growth
• Hands-on experience designing and implementing microservices-based architectures with a focus on scalability and reliability
• Proficiency in either Java or Kotlin, and Spring Boot, with experience in building scalable, distributed systems
• Strong analytical and debugging skills, with the ability to troubleshoot complex systems in production.
• Excellent verbal and written communication skills to work effectively with cross-functional teams and stakeholders.
• Deep understanding of software development lifecycle practices, including CI/CD, TDD, security and Agile methodologies.
• Practical cloud native experience, deploying Kubernetes applications on a cloud service provider, such as Google Cloud, Amazon Web Services, or Microsoft Cloud

Preferred qualifications, capabilities and skills

• Experience with event-driven architectures and tools like Kafka for messaging and streaming
• Familiarity with orchestration frameworks like Temporal.io or similar workflow engines
• Knowledge of cloud-native technologies, including Kubernetes and containerization best practices.
• Experience optimizing database performance, particularly with CockroachDB or other distributed databases.