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As a Staff Software Engineer, you’ll play a key role in improving how we build, deploy and run software. You’ll lead technical delivery, support and guide other engineers, and help establish practical standards that make development simpler and more reliable. Barclays’ payments acceptance business supports a wide range of UK businesses, processing billions in transactions each year. This is a chance to join at an important stage, where you’ll contribute to how the platform evolves and how engineering works day to day.
Job Responsibility
Design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues
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
Deep expertise in backend engineering and building large-scale distributed systems within a cloud environment preferably AWS (Azure, GCP also suitable)
Expert level mastery of Java or Kotlin, Scala, or similar JVM language
Data Layer Expertise – Experience with both SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, DynamoDB, Redis) databases, understanding when to use each
Nice to have
Proven experience working with AI Technologies or machine learning integration
FinTech, Payments, scaling Tech or start-up domain experience
Rust – Experience with systems programming and performance-critical services
Kubernetes – Container orchestration experience with K8s, Helm, and cloud-native deployment strategies
React – Modern frontend development skills with React, TypeScript, and state management libraries
Observability – Experience with monitoring, logging, and tracing tools
CI/CD Wizardry – Extensive DevOps mindset with experience in automated deployment pipelines, infrastructure as code, and GitOps practices
Messaging & Events – Solid grasp of messaging technologies (Kafka, RabbitMQ, SQS, NATS) and event-driven architecture patterns
API Design – Proven track record designing and implementing RESTful and/or GraphQL APIs that scale