OpenShift Senior Engineer; Kubernetes​/OpenShift

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

SALARY: £72,702 - £80,780

LOCATION(S): Manchester, Leeds, 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 Manchester, Leeds, or Edinburgh office sites. Colleagues with disabilities can be supported with workplace adjustments including hybrid working expectations in line with our Flexibility Works policy.

This is a technical leadership role shaping the future of the Open Shift and Private Cloud platform at Lloyds Banking Group. You'll lead high-impact engineering initiatives across squads and stakeholders, with accountability for outcomes critical to resilience, security, regulatory compliance and customer experience.

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:

• Shaping platform strategy and architectural guardrails

• Aligning Engineering, Security, Architecture and Operations

• Leading complex decisions and outcomes across multiple teams

• Raising engineering capability through coaching and influence

You’ll focus on platform-wide outcomes, strategic design and enabling delivery through others, while remaining hands-on where it matters.

• Set technical direction and architectural guardrails for Open Shift and supporting hybrid cloud services.

• Lead high-impact design decisions covering resilience, security, scalability, compliance and sustainability.

• Evaluate emerging capabilities, vendor roadmaps and proofs of concept, turning them into practical adoption plans.

• Own complex multi-squad initiatives, managing dependencies, operational readiness and safe implementation.

• Balance immediate delivery with platform health, technical debt, reliability and cost efficiency.

• Provide senior technical leadership during major incidents and drive preventative improvements.

• Ensure designs meet the security, audit, availability and recovery requirements of a tier-one financial institution.

• Coach senior and lead engineers in system design, decision-making and architectural thinking.

• Represent the platform in governance, design reviews and vendor engagements.

• Build alignment through clear communication and sound technical judgement.

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.

• Extensive experience designing, building and operating Open Shift or Kubernetes platforms at scale in private or hybrid cloud environments.

• Deep knowledge of platform internals, lifecycle management, networking, storage, security controls and integration patterns.

• A proven record of setting architectural direction and engineering standards across multiple teams or platform domains.

• Strong systems thinking and the ability to assess complex distributed platforms and long-term trade-offs.

• Expertise in secure-by-design and resilience engineering within regulated, high-availability environments, including audit, compliance and recovery requirements.

• Experience driving infrastructure automation, standardisation and modernisation through Infrastructure as Code and CI/CD.

• A focus on reliability, reduced operational toil and safe self-service for application teams.

• Experience shaping Agile delivery across squads, using Jira to manage epics, dependencies, progress, risks and constraints.

• The ability to balance strategic change, BAU, risk reduction and innovation across concurrent work streams.

• Strong leadership through influence and the ability to communicate technical strategy, risk and trade-offs to technical and executive audiences.

• Enabling AI/ML workloads on Kubernetes, including data pipelines, GPU scheduling, model serving and governance.

• Designing Kubernetes-native serverless or event-driven platforms and safe consumption models.

• Applying SRE practices such as error budgets, resilience testing, progressive delivery and platform…