Lead Java Engineer (Quarkus)

The role will focus on building and optimising cloud-native Java microservices using Quarkus while integrating with IBM Tivoli Workload Scheduler to orchestrate complex enterprise batch workloads.

You will operate within a senior engineering capacity, collaborating with architects, data engineers, and programme stakeholders to deliver scalable, resilient solutions deployed within a Google Cloud Platform environment.

RESPONSIBILITIES

• Design and develop cloud-native Java microservices using Quarkus for containerised deployment environments.
• Build and integrate enterprise workloads with IBM Tivoli Workload Scheduler, defining job streams, dependencies, and scheduling logic.
• Contribute to architectural decisions across data ingestion, transformation, and orchestration layers.
• Collaborate with engineers, architects, and analysts to translate business requirements into scalable technical solutions.
• Ensure services meet enterprise non-functional requirements including performance, resilience, observability, and security.
• Participate in code reviews and engineering design discussions while supporting development best practices.
• Support deployment pipelines and container orchestration within Google Kubernetes Engine.
• Contribute to CI/CD processes including Docker image management and build pipelines.
• Produce clear technical documentation for engineering teams and stakeholders.
• Engage with delivery leads and programme teams during sprint planning, risk identification, and solution design.

• 5+ years of professional Java development experience.
• 2+ years of hands-on experience developing production applications using Quarkus.
• Experience working within the banking or regulated financial services sector.
• Experience managing or leading a team of software developers.
• Experience designing and integrating workloads with IBM Tivoli Workload Scheduler.
• Strong understanding of Quarkus frameworks including RESTEasy Reactive, CDI, Panache, and Quarkus extensions.
• Experience with MicroProfile APIs such as Config, Health, Metrics, and Fault Tolerance.
• Strong understanding of reactive programming and non-blocking I/O patterns.
• Experience deploying and operating services on Google Kubernetes Engine.
• Hands-on experience with Docker and CI/CD pipelines in cloud environments.
• Strong experience using Git within structured branching and release management workflows.
• Experience working within enterprise governance and regulated delivery environments.
• Strong communication skills and ability to work with both technical and non-technical stakeholders.