• You are a deeply hands-on engineer who thrives on solving complex, enterprise-scale problems.
- We are a team of high-performing engineers transforming how technology is delivered across the bank.
- Together we’re building the platforms and capabilities that power tomorrow’s bank.
Do work that matters
Here, you’ll turn your passion into impact, working on modern platforms and engineering solutions that enable faster, simpler and more scalable outcomes across the organisation.
You’ll contribute to building secure, reliable systems that underpin critical business capabilities, while helping shape how technology supports broader business objectives and drives meaningful results.
By leveraging cloud-native technologies and modern engineering practices, you’ll help create standardised, resilient platforms that enable rapid delivery and continuous improvement.
See yourself in our team
As a Staff Software Engineer in the Digitisation & Enablement Crew, you’ll play a key role in shaping architecture, uplifting engineering standards, and mentoring engineers across the team.
This is a senior, hands-on role. You’ll spend most of your time designing and building production systems, while influencing technical direction and contributing to broader technology strategy.
You’ll operate with high leverage, working across squads to guide how systems are designed, built, and evolved in a modern engineering environment.
What you’ll do
- Design and build scalable microservices and APIs
- Contribute to architecture for enterprise-scale platforms and systems
- Improve engineering standards, code quality, and secure development practices
- Support integration across internal and external platforms
- Build and run what you ship – embedding observability, reliability, and resilience
- Contribute to CI/CD, automation, and safe, frequent deployments
- Mentor engineers and uplift capability across the team
- Drive pragmatic, high-quality engineering decisions aligned to business outcomes
We’re looking for engineers who
- Are genuinely hands-on and comfortable owning complex systems end-to-end
- Have strong backend engineering capability (APIs, microservices, distributed systems)
- Have experience contributing to or shaping enterprise-scale architecture
- Understand security, reliability, and performance at scale
- Can connect technical decisions to business outcomes
- Thrive in collaborative environments and challenge ideas constructively
- Care deeply about simplicity, quality, and long-term maintainability
- Actively mentor others and raise the engineering bar
Technical capability
We use a broad range of technologies. You don’t need all of them — strong fundamentals and depth matter most.
Our ecosystem includes:
Java / Spring Boot / Temporal / AWS Native Services
Cloud & DevOps
- AWS (cloud-native architectures)
- Kubernetes, Docker
- CI/CD (GitHub, Teamcity Octopus)
- Infrastructure as Code (CloudFormation)
- Observability and monitoring tools
Data
- Relational DB - Postgres
- NoSQL / DocumentDB
- Event-driven architecture (e.g. Kafka) is beneficial
AI Powered Engineer
Good Understanding of the AI Powered Engineering
Leveraging AI to accelerate the Product feature builds
Optimisation and Structure of AI Powered Engineering
AI Engineer
Good understanding of Eval Driven Development
Agentic AI Architecture - RAG, Autonomous Agentic, HITL
Understanding of LLM gateways like PortKey
Well rounded understanding of the building Agentic AI Product and Services
LLM Trace and telemetric management - tooling like Honey Hive
