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Embark on a transformative journey as a Principal Full Stack Engineer - VP. This VP‑level role is a cornerstone of Barclays’ strategic Best Egg initiative, responsible for driving the design and delivery of enterprise‑scale, cloud‑native platforms that fuel consumer‑lending growth. You will lead end‑to‑end architecture across front‑end, back‑end, data, and integration domains—shaping technology strategy, guiding platform standards, and ensuring resilient, compliant solutions at scale. The position offers a unique opportunity to blend hands‑on technical leadership with broad architectural ownership, directly influencing Barclays’ long‑term digital banking transformation.
Job Responsibility:
Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimized for performance
Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives
Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing
Stay informed of industry technology trends and innovations and actively contribute to the organization’s technology communities to foster a culture of technical excellence and growth
Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions
Implementation of effective unit testing practices to ensure proper code design, readability, and reliability
Requirements:
Experience as a Full Stack Developer using Java (JDK 17+), Spring Framework, and open‑source technologies to build enterprise‑grade applications
Considerable experience building microservices using RESTful APIs, Spring Boot, Spring Security, OAuth2, and JWT, with a focus on scalability, security, and resiliency
Validated experience designing and developing Enterprise driven architectures using Kafka, AWS SNS/SQS, or equivalent messaging platforms for high‑throughput, low‑latency systems
Hands‑on experience with AWS (EC2, S3, RDS, Lambda, API Gateway, ECS/EKS, Glue etc.) and containerization using Docker/Kubernetes, along with ample engineering practices including CI/CD
Experience with DevOps/CI/CD + Observability - GitLab or Jenkins and observability/monitoring tooling (Prometheus, Grafana, ELK)
Nice to have:
Experience working with React or Angular, with an understanding of full‑stack design and UI‑to‑API integration patterns
Experience in the Financial Services domain, with understanding of Credit Cards, Consumer Lending, and Risk & Control considerations
Ability to mentor senior engineers, drive engineering standards, influence architectural decisions, and operate effectively in large‑scale, regulated enterprise environments
Practical exposure to Generative AI and/or Agentic AI, including integrating LLM‑based capabilities into applications or engineering workflows (e.g. intelligent services, automation, POCs or production use cases)