Technology Lead

This individual will drive platform performance, JVM optimisation, Spring Boot engineering standards, application resiliency, observability, and technology innovation across multiple delivery teams. The successful candidate will remain hands-on whilst providing technical leadership, architectural direction, and engineering governance across a complex enterprise estate. Whilst the applications support payments processing, prior payments or banking experience is not required. We are seeking a strong technologist with deep Java expertise, platform engineering experience, and a passion for solving large-scale engineering challenges.

Key Responsibilities:

• Own the technical health, performance, scalability, and resilience of a portfolio of business-critical Java applications.
• Act as the technical authority for JVM performance tuning , memory management, garbage collection optimisation, thread analysis, heap diagnostics, and application profiling.
• Lead the design, development, and optimisation of Spring Boot microservices , distributed systems, event-driven applications, and enterprise APIs.
• Drive engineering best practices across architecture, coding standards, observability, non-functional requirements, and software delivery.
• Partner with DevOps and SRE teams to improve CI/CD pipelines, production stability, platform reliability, and operational excellence.
• Champion modern engineering approaches including intelligent automation, AI-assisted development, operational analytics, and emerging technology adoption.
• Provide day-to-day technical leadership, mentoring engineers, performing design reviews, and guiding technical decision-making across multiple delivery teams.
• Collaborate with architecture, infrastructure, security, and business stakeholders to deliver scalable, secure, and high-performing solutions.

Must-Have Experience:

• Proven technical leadership responsibilities.
• Expert-level experience developing and supporting enterprise-scale applications using Java/J2EE .
• Deep expertise tuning and troubleshooting JVM-based applications in production environments, including garbage collection optimisation, heap analysis, memory management, thread analysis, performance diagnostics, and application profiling.
• Extensive experience designing, building, and supporting Spring Boot microservices within large-scale enterprise environments.
• Strong expertise in REST APIs, distributed systems, microservices architecture, and event-driven design patterns.
• Experience with messaging and streaming technologies such as Kafka , MQ, or similar.
• Strong experience with application observability, monitoring, and production diagnostics using tools such as Dynatrace, AppDynamics, Splunk, Grafana, ELK, or Prometheus .
• Demonstrated experience evaluating and implementing AI-powered solutions within enterprise technology environments, including engineering productivity tooling, intelligent automation, operational analytics, or GenAI/LLM use cases.
• Strong SDLC knowledge (Agile /Waterfall) alongside CI/CD, DevOps practices, automated testing, and release management.
• Excellent communication skills with the ability to influence architecture, engineering strategy, and technical direction across multiple teams.