OpenShift Engineer (Kubernetes​/OpenShift

JOB TITLE: Open Shift Engineer (Kubernetes/Open Shift)

SALARY: £48,987 - £54,430

LOCATION(S): Leeds, Manchester, or Edinburgh

HOURS: Full-time - 35 hours per week (There is an on-call requirement)

WORKING PATTERN
:
Our work style is hybrid, which involves spending at least two days per week, or 40% of our time, at our Leeds, Manchester, or Edinburgh office sites. Colleagues with disabilities can be supported with workplace adjustments including hybrid working expectations in line with our Flexibility Works policy.

s an Open Shift Engineer, you'll help engineer, operate, and improve the Bank's enterprise Open Shift platform, creating resilient, secure, and scalable services for critical workloads. This role is hands‑on and delivery focused, with responsibility for building, configuring, automating, and supporting platform capabilities that enable application teams to run safely and effectively in a regulated environment.

You’ll set the technical direction and engineering standards for Open Shift at scale, balancing enterprise controls with modern cloud-native practices.

You’ll also enable AI, data‑intensive, serverless and event‑driven workloads safely and consistently, accelerating application teams without compromising control or operability.

You’ll create impact by:

• Deliver complex engineering work with limited supervision, taking ownership from design through implementation, testing, and handover into support
• Troubleshoot platform and service issues methodically, using data and evidence to identify root causes and resolve problems safely
• Contribute to technical design and implementation decisions, recognising trade‑offs across resilience, security, operability, performance, and cost
• Improve automation, documentation, standards, and operational practices to reduce toil and improve platform consistency
• Support and guide other engineers through collaboration, knowledge sharing, pairing, and review of engineering work

Platform Engineering and Delivery

• Build, configure, test, and improve Open Shift platform capabilities, automation, and supporting tooling.
• Deliver engineering changes through defined standards and controls, with appropriate validation, rollback planning, and operational readiness.
• Contribute to platform design decisions and implementation approaches for networking, security, observability, resilience, and lifecycle management.

Operations and Support

• Investigate incidents, defects, and performance issues, using logs, metrics, traces, and other evidence to identify and resolve causes.
• Support upgrades, patching, capacity planning, and recovery activities to maintain platform stability and service continuity.
• Help improve runbooks, support documentation, alerting, and operational processes to make support more effective and repeatable.

Automation and Continuous Improvement

• Use infrastructure as code, scripting, and CI/CD practices to improve consistency, reduce manual effort, and strengthen platform reliability.
• Find opportunities to simplify engineering workflows, remove repetitive tasks, and improve the developer experience for platform consumers.

Risk, Control, and Engineering Quality

• Apply engineering standards for security, resilience, auditability, and change control, ensuring changes are supportable and compliant.
• Raise risks, issues, and dependencies clearly, and contribute to practical remediation and service improvement plans.

Collaboration and Team Contribution

• Work effectively within a squad and across engineering fields, contributing to planning, estimation, design discussions, and reviews.
• Share knowledge with peers and support less experienced engineers through collaboration, documentation, and constructive feedback.

We’re transforming esting billions in our people, data and tech to change the way we meet the needs of our 28 million customers. We’re growing, and we’d love you to be part of the journey.

• Strong practical experience building, operating, and supporting Open Shift or Kubernetes platforms in production environments.
• Good understanding of cluster architecture, networking, ingress, storage, platform security,…