Software Engineer, DevOps, Cloud Engineer - Software

End Date Monday 21 September 2026

Salary Range: £47,120 - £70,680

We support flexible working –  for more information on flexible working options

Flexible Working Options Job Share

Job Description Summary Level 3 will have all traits from Level 2 and, in addition, will have good understanding of Team application domain and technology used. Level 3 should be able to give effort estimates for simple changes.

JOB TITLE:

Software Engineer (Threat Intelligence Platforms)

LOCATION:

Edinburgh, Bristol or Manchester

WORKING PATTERN:
Our work style is hybrid, which involves spending at least two days per week, or 40% of our time, at our office location.

About this Opportunity:
Our Threat Intelligence Engineering team builds and maintains the platforms, integrations and automation that help turn intelligence into action. We work across a range of security and intelligence tooling, connecting data sources, automating workflows and developing services that enable analysts and security teams to make better decisions, faster. As a Software Engineer, you'll play a key role in designing, building and supporting the integrations and services that underpin our threat intelligence capability.

You'll be working on modern engineering platforms and cloud-native solutions, helping to improve the quality, accessibility and value of intelligence across the organisation.

• Building clean, maintainable and well-tested Python applications, services and integrations.
• Designing and developing integrations between internal and external platforms to automate security and intelligence workflows.
• Working closely with engineers, analysts and stakeholders to understand requirements and deliver practical solutions.
• Supporting and improving CI/CD pipelines to enable reliable and efficient software delivery.
• Deploying, operating and troubleshooting applications running in containerised and Kubernetes-based environments.
• Participating in code reviews and contributing to engineering standards, best practices and ways of working.
• Investigating incidents, resolving defects and identifying opportunities to improve resilience, security and performance.
• Helping shape technical designs while balancing scalability, maintainability and delivery timelines.
• Monitoring live services, identifying issues and proactively driving improvements.
• Continuously developing your technical skills and staying current with emerging technologies and industry trends.
• Designing and developing solutions that make effective use of AI capabilities to automate processes, enrich data and improve operational decision-making.

If you think all banks are the same, you’d be wrong. We’re an innovative, fast-changing business that’s shaping finance as a force for good. A bank that’s empowering its people to innovate, explore possibilities and grow with purpose.

• Strong experience developing software in Python.
• Experience working with Linux environments and scripting using Bash.
• Good understanding of Dev Ops principles and modern software engineering practices.
• Experience with CI/CD tools and deployment pipelines.
• Knowledge of Kubernetes and container-based application deployment.
• Experience building and supporting APIs, services or system integrations.
• A solid understanding of software testing, debugging and troubleshooting.
• Experience working within Agile delivery teams.
• Strong problem-solving skills with the ability to work independently on technical challenges.
• A genuine interest in learning, improving and staying current with technology trends.
• Understanding of AI concepts and technologies, with the ability to identify and implement practical AI-driven solutions within software applications and workflows.
• And any of these would be great:

• Experience working within a Threat Intelligence, Cyber Security or Security Operations environment
• Understanding of threat intelligence concepts, data sources and intelligence workflows.
• Experience integrating with third-party security or intelligence platforms.
• Knowledge of cloud platforms and infrastructure-as-code approaches.
• Experience with event-driven architectures and distributed systems.
• Familiarity with…