Summary
✨ AI‑Generated
A senior platform engineering role focused on building and operating secure, resilient enterprise cloud platforms. You will engineer Kubernetes environments, automate infrastructure, create reusable developer self-service capabilities, improve continuous delivery and observability, and establish repeatable platform controls.
Highlights
Hands-on opportunity to build secure, resilient enterprise cloud platforms, improve developer self-service, automate infrastructure and delivery, and establish strong observability and platform controls.
Description
Senior DevOps Platform Engineer
Manchester, UK| Hybrid |Full-time
Contract: Inside IR35
Banking Domain Preferred
Skills:
Kubernetes/OpenShift engineering, Terraform, Backstage/IDP, continuous delivery, observability (inc.
metrics/telemetry/SLO/run book automation), platform engineering, control engineering
ROLE PURPOSE Build and evolve secure, resilient cloud platforms and delivery capabilities that enable engineering teams to release software faster, safely and consistently.
This is a hands-on role spanning Kubernetes engineering, infrastructure automation, continuous delivery, observability and platform controls.
What you will do
Design, build and operate enterprise Kubernetes platforms using GKE and OpenShift, including cluster lifecycle, networking, ingress and workload security.Create reusable platform services, golden paths and developer self-service capabilities through Backstage and Internal Developer Platform patterns.Build secure, repeatable cloud environments and reusable modules using Terraform and Infrastructure as Code principles.Design and maintain continuous delivery pipelines using Harness and Jenkins, with source control and collaboration through GitHub / Git.Implement end-to-end observability using Dynatrace, covering metrics, logs, traces, telemetry, dashboards, alerting and service health.Define SLI/SLO measures and automate operational runbooks, remediation and repeatable support activities to reduce manual effort.Engineer service-to-service connectivity and controls using Istio Service Mesh, including traffic management, ingress/egress and policy enforcement.Manage secrets, certificates and workload identity securely using HashiCorp Vault and automated certificate lifecycle practices.Embed platform controls, least-privilege access, secure configuration, resilience and auditability into engineering patterns.Partner with product, engineering, architecture, security and operations teams; coach colleagues and promote platform adoption and engineering standards.
Essential skills and experience
Capability
Required experience
Container platforms
Strong hands-on Kubernetes engineering; GKE preferred.
OpenShift experience is required.Cloud & IaC
Google Cloud Platform experience preferred; strong Terraform and reusable infrastructure automation.Delivery engineering
Harness CI/CD and Jenkins; pipeline design, automation, release controls and deployment patterns.Developer platform
Backstage and Internal Developer Platform concepts, including self-service and golden paths.Observability & SRE
Dynatrace; metrics, telemetry, logs, traces, alerting, SLI/SLO practices and runbook automation.Security & controls
HashiCorp Vault, certificate management, IAM/least privilege, platform controls and secure configuration.Networking
Istio Service Mesh, ingress/egress, service connectivity, traffic management and network security concepts.Engineering practices
GitHub / Git, automation-first mindset, scripting, troubleshooting and production support.
Desirable
Experience operating platforms within a large, regulated enterprise environment.Experience with multi-cloud or hybrid-cloud environments.Good working knowledge of Bash, Python or PowerShell automation.Understanding of reliability engineering, incident management, capacity, resilience and cost telemetry.What success looks likeSecure, supportable and repeatable platform services with clear engineering standards and controls.Faster, safer delivery through automation, reusable patterns and an improved developer experience.Improved service reliability through measurable SLOs, actionable observability and automated operations.