Software Engineer–Confluent Kafka on AWS (103140)

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.

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–Confluent Kafka on AWS at Barclays, where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionize our digital offerings, ensuring unapparelled customer experiences. The ideal candidate will have expertise in cloud-native technologies, distributed streaming platforms, Kubernetes orchestration, and multi-region architecture patterns.

To be a successful Software Engineer–Confluent Kafka on AWS, you should have experience with:

•  Design, deploy, and operate production‑grade Confluent Kafka platforms, including Kafka brokers, Schema Registry, Kafka Connect, ksqlDB, and REST Proxy, ensuring high availability, scalability, and secure data streaming across domains.
• Engineer and manage cloud‑native workloads on Amazon EKS, including cluster configuration, workload deployment, upgrades, scaling, and operational support in line with Barclays engineering and security standards.
• Apply deep working knowledge of Kubernetes primitives and patterns, including StatefulSets, operators, persistent volumes, services, ingress, and Kubernetes networking, to support stateful and distributed platforms.
• Build and maintain Infrastructure as Code (IaC) using Terraform and AWS CloudFormation, enabling repeatable, auditable, and compliant provisioning of cloud and platform resources.
• Demonstrate strong understanding of AWS core services (such as EC2, VPC, IAM, S3, EKS, CloudWatch, Route53), and apply cloud‑native design principles to achieve scalability, resilience, and cost efficiency.
• Implement and support containerisation standards using Docker, container registries such as Amazon ECR, and container security practices aligned with enterprise and regulatory expectations.
• Contribute to the design and operation of multi‑region architectures, supporting active‑active or active‑passive deployment models to meet availability, resilience, and disaster recovery objectives.
• Develop and maintain automation and operational tooling using Python, Bash, or Go, supporting platform automation, diagnostics, CI/CD integration, and operational efficiency.
• Design, develop, and operate event‑driven architectures (EDA) using industry‑standard messaging and streaming platforms, ensuring high throughput, low latency, and resilience.
• Provide deep expertise in stream processing concepts including event ordering, partitioning, replay, schema evolution, and exactly‑once/at‑least‑once semantics.
• Demonstrated, hands‑on expertise with Confluent Kafka ecosystem including topics, partitions, producers/consumers, schema registry, connectors, and operational best practices.
• Build and maintain stream‑processing applications using Kafka Streams, applying stateful and stateless processing patterns to support real‑time business events and data enrichment use‑cases.
• Strong hands‑on coding capability with a consistent focus on clean code, testability, performance, and maintainability.
• Contribute directly to production‑grade codebases and review peer code to enforce Barclays engineering standards and quality gates.
• Deliver software using Agile methodologies, actively participating in sprint planning, reviews, retrospectives, and continuous improvement.
• Champion engineering discipline, automation, and data‑driven decision making across delivery cycles.
• Strong familiarity with modern developer tooling including GitLab, DevSecOps pipelines, and secure CI/CD practices.
• Hands‑on experience with: Docker Desktop for local containerized development, IntelliJ IDEA or equivalent enterprise IDEs and Secure source control, branching strategies, and automated quality gates.
• Drive a test‑first, quality‑driven engineering culture with hands‑on experience in:
  • Contract Testing (PACT) for consumer‑provider assurance
  • Unit Testing (JUnit) and integration testing
  • Performance & load testing (JMeter)
  • Mutation testing to validate test effectiveness
• Ensure test coverage and automation are embedded into CI/CD pipelines, not treated as post‑delivery activities.
• Experience deploying and operating workloads on Kubernetes (K8s), including container orchestration and scaling concepts.
• Demonstrate strong awareness and practical adoption of AI‑assisted engineering practices with AI coding assistants (e.g., Claude Code, GitLab Duo, Copilot or equivalent) to support code generation, refactoring, documentation, and test creation, while retaining engineering judgement and accountability.

Some other highly valued skills may include:

• Act as a individual contributor engineer (ICE), owning end‑to‑end delivery, stability, and operational resilience of platform and infrastructure components with minimal supervision and strong engineering accountability.
• Work effectively within Agile/Scrum delivery models, using Jira for backlog management, delivery tracking, and sprint execution.
• Apply strong analytical and troubleshooting skills to diagnose and resolve complex issues in distributed, event‑driven systems.
• Demonstrate excellent verbal and written communication, producing clear architecture designs, decision records, and technical documentation.
• Collaborate closely with cross‑functional teams (engineering, DevOps, security, architecture) to deliver integrated, enterprise‑ready solutions.
• Exhibit strong ownership, self‑drive, and innovation mindset, staying current with cloud‑native technologies and modern engineering best practices.

You may be assessed on the 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 successful candidate will be based in Bengaluru.