Staff Software Engineer / Lead Software Engineer

• Engineer production services, APIs, data integrations and interfaces that help detect and investigate financial crime.
• Work across the full product surface, solving complex problems while influencing design and uplifting engineering capability.
• Help modernise shared platforms and responsibly embed AI and agentic capabilities into critical investigation workflows.

EC Technology builds the capabilities that support the detection and investigation of fraud and financial crime. The broader Group Security function brings together cyber security, fraud technology, fraud management, investigations and resilience to safeguard the bank and protect customers. In this role, you will:

• Design, build and operate production services and APIs with clear contracts and integration boundaries.
• Contribute to architecture and design decisions, including refactoring, modularisation and performance improvements.
• Consolidate capabilities onto shared platforms and treat the retirement of legacy technology as core engineering work.
• Build and maintain continuous integration and delivery pipelines, automated testing and progressive delivery practices.
• Establish strong reliability and observability through dashboards, alerting, service-level objectives and operational ownership.
• Engineer secure and dependable AI and agentic features, including orchestration, evaluation and guardrails.
• Embed security, privacy, reliability and regulatory controls into design and delivery.
• Raise engineering standards through thoughtful code reviews, pairing and clear technical reasoning.

You're a versatile software engineer with strong computer science foundations and the confidence to work across technologies as the problem changes. You combine hands-on delivery with sound technical judgement, take ownership of production outcomes and help create an environment where engineers can do their best work.

• Bring strong foundations in algorithms, data structures, concurrency and system design.
• Have experience across backend services, APIs and data integration, with openness to contributing to internal user interfaces when required.
• Can design and build services using a modern typed language such as Java, Kotlin, Go or Python, or comparable technologies.
• Full-stack capability, including experience with React and TypeScript or equivalent technologies, as well as backend-for-frontend layers
• Understand cloud-native delivery, containers, automated pipelines and production observability.
• Apply a platform mindset by reusing proven capabilities, reducing unnecessary duplication and simplifying technology estates.
• Build security, privacy, reliability and risk controls into solutions from the outset.
• Learn new languages, frameworks and tools according to the needs of the problem.
• Improve engineering outcomes through collaboration, mentoring, code review and well-reasoned design decisions.
• Exposure to technologies such as AWS, Kubernetes, Docker, GitHub Actions, Argo CD, React, TypeScript, Kafka, Grafana or Prometheus will be useful.
• Experience building or operating AI-enabled systems, including model integration, orchestration, evaluation and guardrails, would also be valuable.
• Equivalent tools and transferable experience are welcomed.