Senior Software Engineer - Java Full Stack & AI Assisted Engineering

Posted 2 Days Ago
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Pune, Maharashtra, IND
In-Office
Senior level
Fintech • Financial Services
The Role
Design, build, test and deploy scalable, secure Java Spring Boot microservices and React/TypeScript front-ends. Implement AWS cloud-native solutions, IaC, CI/CD, observability, automated testing, and lead technical investigations. Drive safe AI-assisted engineering practices, mentor engineers, participate in architecture and agile delivery, and reduce technical debt.
Summary Generated by Built In
Job Description

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

  • 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.

Assistant Vice President Expectations

  • To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions.
  • Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes
  • If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others.
  • OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes.
  • Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues.
  • Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda.
  • Take ownership for managing risk and strengthening controls in relation to the work done.
  • Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.
  • Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy.
  • Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively.
  • Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience.
  • Influence or convince stakeholders to achieve outcomes.

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.

Join us as a Senior Software Engineer - Java Full Stack & AI Assisted Engineering at Barclays, where you will spearhead the evolution of our infrastructure and deployment pipelines, driving innovation and operational excellence. You will harness cutting-edge technology to build and manage robust, scalable and secure infrastructure, ensuring seamless delivery of our digital solutions.  

To be successful as a Senior Software Engineer - Java Full Stack & AI Assisted Engineering, you should have experience with:

  • Design, develop, test and deploy enterprise-grade applications using Java and Spring Boot.
  • Build scalable, resilient, and secure microservices-based solutions.
  • Develop responsive and modern user interfaces using ReactJS and TypeScript.
  • Translate business requirements into technical solutions and high-quality software deliverables.
  • Participate in architecture discussions and contribute to solution design decisions.
  • Ensure applications meet performance, security, reliability, and operational standards.
  • Lead complex technical investigations and production issue resolutions.
  • Design and implement cloud-native solutions on AWS.
  • Work with AWS services including ECS/EKS, Lambda, API Gateway, S3, DynamoDB/RDS, CloudWatch, IAM and EventBridge.
  • Implement Infrastructure as Code using Terraform or CloudFormation.
  • Support CI/CD automation and release processes.
  • Drive adoption of secure coding practices and engineering standards.
  • Perform code reviews and promote clean code principles.
  • Implement automated unit, integration, and regression testing.
  • Ensure observability through logging, monitoring, and alerting frameworks.
  • Contribute to technical debt reduction and platform modernization initiatives.
  • Effectively leverage AI engineering tools such as Claude, GitLab Duo, GitHub Copilot, ChatGPT Enterprise, and other approved enterprise AI tools.
  • Utilize AI assistants for code generation, test automation, documentation, code review support, root cause analysis, and solution design acceleration.
  • Drive responsible and secure adoption of AI-assisted development practices.
  • Evaluate emerging AI capabilities and recommend productivity improvements within engineering teams.
  • Mentor team members on AI-enabled software engineering best practices.
  • Work closely with Product Owners, Architects, Engineering Managers, Designers, and Business Analysts.
  • Mentor junior and mid-level engineers.
  • Contribute to sprint planning, backlog refinement, estimation, and technical leadership activities.
  • Support a culture of continuous improvement and innovation.

Some other highly valued skills may include:

  • Java 17/21+.
  • Spring Boot.
  • REST APIs.
  • Microservices Architecture.
  • Kafka / Event-Driven Architecture.
  • JPA/Hibernate.
  • SQL and NoSQL Databases.
  • ReactJS.
  • TypeScript.
  • JavaScript (ES6+).
  • HTML5 / CSS3.
  • Responsive Web Design.
  • AWS Cloud Platform.
  • Docker.
  • Kubernetes / EKS.
  • Terraform.
  • GitLab CI/CD.
  • Jenkins.
  • SonarQube.
  • Monitoring & Observability tools.
  • Claude.
  • GitLab Duo.
  • GitHub Copilot.
  • Prompt Engineering.
  • AI-assisted Software Development Lifecycle (SDLC).
  • AI-driven Test Generation and Code Quality Improvements.
  • Agile / SAFe.
  • TDD / BDD.
  • Secure Coding.
  • Design Patterns.
  • Performance Optimization.
  • API Security.
  • System Design.
  • Banking, Payments, Cards, Lending, or Financial Services domain.
  • Event-driven architectures and distributed systems.
  • Open Banking APIs.
  • AI-powered application development and Agentic AI concepts.
  • Experience leading technical initiatives across multiple teams.

You may be assessed on key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills.

The role is based out of Pune.

Skills Required

  • Design, develop, test and deploy enterprise-grade applications using Java and Spring Boot.
  • Build scalable, resilient, and secure microservices-based solutions.
  • Develop responsive user interfaces using ReactJS and TypeScript.
  • Translate business requirements into technical solutions and deliverables.
  • Participate in architecture discussions and contribute to solution design decisions.
  • Ensure applications meet performance, security, reliability, and operational standards.
  • Lead complex technical investigations and production issue resolutions.
  • Design and implement cloud-native solutions on AWS.
  • Experience with AWS services including ECS/EKS, Lambda, API Gateway, S3, DynamoDB/RDS, CloudWatch, IAM, and EventBridge.
  • Implement Infrastructure as Code using Terraform or CloudFormation.
  • Support CI/CD automation and release processes (GitLab CI/CD, Jenkins).
  • Implement automated unit, integration, and regression testing.
  • Ensure observability through logging, monitoring, and alerting frameworks (CloudWatch, monitoring tools).
  • Drive adoption of secure coding practices and engineering standards.
  • Effectively leverage AI engineering tools (Claude, GitLab Duo, GitHub Copilot, ChatGPT Enterprise) and AI-assisted development practices.
  • Mentor junior and mid-level engineers and contribute to sprint planning, backlog refinement, and estimation.
  • Familiarity with Docker and Kubernetes/EKS for containerization and orchestration.
  • Experience with REST APIs, JPA/Hibernate, SQL and NoSQL databases.
  • Experience with SonarQube and code quality tooling.
  • Experience with Kafka / Event-Driven Architecture.
  • Experience in prompt engineering or AI-enabled SDLC concepts.
  • Experience in Banking, Payments, Cards, Lending, or Financial Services domain.
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The Company
HQ: London
83,500 Employees

What We Do

Barclays is a British universal bank. We are diversified by business, by different types of customers and clients, and by geography. Our businesses include consumer banking and payments operations around the world, as well as a top-tier, full service, global corporate and investment bank, all of which are supported by our service company which provides technology, operations and functional services across the Group. With over 325 years of history and expertise in banking, Barclays operates in over 40 countries and employs approximately 83,500 people. Barclays moves, lends, invests and protects money for customers and clients worldwide.

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