Software Engineer

Purpose of the role

To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure. 

Accountabilities

• Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data.
• Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures.
• Development of processing and analysis algorithms fit for the intended data complexity and volumes.
• Collaboration with data scientist to build and deploy machine learning models.

Analyst Expectations

• To perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement.
• Requires in-depth technical knowledge and experience in their assigned area of expertise
• Thorough understanding of the underlying principles and concepts within the area of expertise
• They lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources.
• 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 develop technical expertise in work area, acting as an advisor where appropriate.
• Will have an impact on the work of related teams within the area.
• Partner with other functions and business areas.
• Takes responsibility for end results of a team’s operational processing and activities.
• Escalate breaches of policies / procedure appropriately.
• Take responsibility for embedding new policies/ procedures adopted due to risk mitigation.
• Advise and influence decision making within own area of expertise.
• Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to. Deliver your work and areas of responsibility in line with relevant rules, regulation and codes of conduct.
• Maintain and continually build an understanding of how own sub-function integrates with function, alongside knowledge of the organisations products, services and processes within the function.
• Demonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.
• Make evaluative judgements based on the analysis of factual information, paying attention to detail.
• Resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents.
• Guide and persuade team members and communicate complex / sensitive information.
• Act as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organisation.

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 “Software Engineer " at Barclays, where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionise our digital offerings, ensuring unapparelled customer experiences.
You may be assessed on the key critical skills relevant for success in role, such as experience with, skills to meet business requirement as well as job-specific skillsets.

To be successful as a “Software Engineer ", you should have experience with:

  Basic/ Essential Qualifications:

• Strong hands-on development experience with Java 21, Spring Framework, and Spring Boot for building secure, scalable, cloud-native microservices.

• Proven experience designing, developing, and maintaining RESTful APIs aligned to enterprise REST standards, API security expectations, versioning, performance, and reliability requirements.

• Strong expertise in Gradle build engineering, dependency management, multi-module project structures, repeatable builds, and CI/CD integration.

• Hands-on experience with MongoDB, including data modelling, query optimisation, indexing, operational considerations, and integration with microservices.

• Experience with containerisation and orchestration using Docker, Kubernetes, and OpenShift, including deployment, configuration, scaling, observability, and troubleshooting of services.

• Practical experience with AWS cloud services and cloud-native delivery patterns, with awareness of resilience, monitoring, security, and cost-conscious engineering practices.

• Hands-on experience with Apache Kafka and event-driven architecture, including producers, consumers, topics, error handling, retry patterns, and message-driven integration.

• Strong engineering discipline across the full SDLC, including requirements analysis, solution design, development, code review, testing, release, support, and continuous improvement.

• Proficient with Git and GitLab, including branching strategies, merge requests, code review practices, CI/CD pipelines, automated checks, and release governance.

• Experience implementing DevSecOps practices, including secure coding, dependency scanning, vulnerability management, secrets handling, quality gates, and pipeline automation.

• Strong testing mindset with hands-on experience in JUnit, unit testing, integration testing, contract testing, mutation testing, automated quality reporting, and test coverage improvement.

• Experience with performance testing, load testing, profiling, tuning, and diagnosing application bottlenecks across microservices, APIs, databases, and messaging layers.

• Ability to work effectively in Agile delivery teams, contributing to sprint planning, backlog refinement, demos, retrospectives, estimation, and predictable incremental delivery.

• Strong working knowledge of modern developer tooling including IntelliJ IDEA, local development setup, debugging, build/test execution, code quality tools, and secure source control workflows.

• Practical awareness of AI-assisted engineering tools such as GitLab Duo, Copilot, Claude Code, or equivalent, using them responsibly for code generation, refactoring, documentation, test creation, and productivity improvement while retaining engineering accountability.

Desirable skillsets/ good to have:

• 4–8 years of hands-on software engineering experience, preferably with sustained delivery of Java-based microservices in large-scale enterprise environments.

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related discipline, or equivalent practical experience.

• Experience in financial services, digital banking, payments, customer-facing platforms, or other regulated technology environments would be advantageous.

• Exposure to API governance, service reliability practices, platform modernisation, cloud migration, or legacy application transformation would be beneficial.

• Relevant certifications in Java, AWS, Kubernetes, OpenShift, Agile, DevSecOps, or cloud-native engineering practices would be desirable but not mandatory.

This role will be based out of Pune.