Purpose of the role
To design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues.
Accountabilities
Assistant Vice President Expectations
All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.
We are looking for an experienced Assistant Vice President - Java Engineer to join the Core Engineering Team responsible for building and supporting secure proxy applications and shared platform capabilities.
The role requires
strong hands-on software engineering expertise, an ownership mindset, and the ability to independently design,
develop, troubleshoot, and enhance enterprise-grade applications.
The successful candidate will contribute to mission-critical services, drive engineering excellence, embrace modern development practices, and leverage Artificial Intelligence-assisted engineering capabilities to improve productivity and delivery outcomes. The role also requires active collaboration, mentoring, and continuous learning to help raise the overall capability of the engineering team.
Key Responsibilities
• Design, develop, test, and maintain secure, scalable, and resilient Java-based applications and services.
• Build and enhance Representational State Transfer APIs and microservices using Spring Boot and related frameworks.
• Support and troubleshoot complex production incidents through effective debugging and root cause analysis.
• Collaborate with architects, engineers, and platform teams to deliver secure and reliable solutions.
• Participate in code reviews and promote engineering best practices across the team.
• Contribute to continuous integration, continuous deployment, and platform modernization initiatives.
• Champion secure coding practices, automated testing, operational excellence, and production readiness.
• Support fellow engineers through knowledge sharing, mentoring, and collaborative problem-solving.
• Continuously upskill on emerging technologies, engineering trends, and Artificial Intelligence-assisted software
development practices.
Essential Skills
• Strong hands-on experience developing enterprise applications using Java and Spring Boot frameworks.
• Proven expertise in building and consuming Representational State Transfer APIs and microservices.
• Experience implementing automated testing solutions using Karate Testing Framework and unit testing frameworks.
• Strong understanding of Spring Cloud Config and enterprise configuration management practices.
• Demonstrated ability to perform advanced debugging, troubleshooting, and root cause analysis in distributed systems.
• Experience working with distributed version control and collaborative software development practices.
• Strong understanding of secure coding standards, software engineering principles, and application resiliency.
• Ability to work independently with a high level of ownership, rigor, accountability, and attention to detail.
• Excellent communication and collaboration skills, with a proven track record of supporting and mentoring team
members.
Some other highly valued skills may include:
• Experience deploying and supporting applications on OpenShift Container Platform.
• Familiarity with Kubernetes orchestration and containerized application architecture.
• Experience implementing GitLab Continuous Integration and Continuous Deployment pipelines.
• Exposure to Harness deployment automation and release management tooling.
• Knowledge of API gateway technologies, traffic management, secure proxy patterns, and gateway reliability concerns.
• Experience using Artificial Intelligence Code Assistant tools, including Copilot, GitLab Duo, Claude, and similar
platforms, to improve development productivity, code quality, testing, troubleshooting, and engineering efficiency.
• Demonstrates a mindset of continuous learning and technology upskilling.
• Actively leverages Artificial Intelligence Code Assistant tools to enhance software development, testing, debugging, and
overall engineering productivity.
• Takes ownership of outcomes and drives issues to resolution with minimal supervision.
• Builds strong relationships across teams and promotes a collaborative engineering culture.
• Shares knowledge openly and contributes positively to the growth of the wider engineering community.
This role is based of Pune.