GCP DevOps/SRE in Manchester

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.

ROLE PURPOSE Improve the reliability, scalability, security and operational excellence of cloud-hosted services on Google

Cloud Platform. This is a hands-on engineering role spanning SRE practices, production Kubernetes, infrastructure

automation, observability, CI/CD, incident response and continuous service improvement.

About the role

The Senior Site Reliability Engineer will work with Cloud Platform, Software Engineering, Product, Security and Service teams to

design and operate resilient services. The role will use software engineering and automation to reduce operational toil, improve

service health and turn incident learning into measurable reliability improvements.

Key responsibilities

Lead reliability, availability, scalability and performance improvements across GCP-hosted applications, platforms and shared

services.

Define and operate service level indicators, service level objectives and error-budget practices that connect technical health to

customer impact.

Design actionable observability using Dynatrace, including instrumentation, dashboards, distributed tracing, service health

views and SLO-based alerting.

Build modular, reusable and maintainable Terraform code for secure cloud infrastructure, platform services and environment

provisioning.

Administer production Kubernetes environments, covering cluster lifecycle, workload deployment, capacity, upgrades,

networking and platform troubleshooting.

Automate operational activities and repetitive support work using Python, Groovy, Bash or PowerShell to reduce toil and

improve consistency.

Build and enhance CI/CD pipelines using Jenkins, Azure DevOps, GitHub Actions or equivalent tooling, with automated quality

and deployment controls.

Lead incident response, complex troubleshooting, root-cause analysis and post-incident reviews; ensure corrective actions are

tracked to completion.

Embed security, resilience, monitoring and supportability into platform and application designs from the outset.

Coach engineers, contribute reusable standards and patterns, and promote SRE and operational excellence across

engineering communities.

Core outcomes

Reliable and measurable production services with clear ownership, SLOs and actionable alerts.

Less manual effort through automation, self-service and repeatable engineering patterns.

Faster restoration, stronger incident learning and sustained reduction in repeat failures.

LLOYDS BANKING GROUP | ROLE PROFILE

Senior Site Reliability Engineer (GCP)

Public

Essential skills and experience

Senior Site Reliability Engineer (GCP)

Capability Required experience

Google Cloud Platform Strong hands-on GCP engineering and operations experience across production

services. Relevant GCP certification is preferred.

Site Reliability Engineering Demonstrable SRE experience improving availability, resilience, scalability,

supportability and operational performance.

Dynatrace & observability Instrumentation, dashboards, metrics, logs, traces, service health modelling and

SLO-based alerting using Dynatrace.

Terraform Strong Infrastructure as Code capability, including modular design, reusable

components, state management, code review and maintainability.

Kubernetes & containers Production Kubernetes administration and Docker knowledge, including

deployments, upgrades, networking, capacity and troubleshooting.

CI/CD engineering Hands-on Jenkins, Azure DevOps, GitHub Actions or comparable tooling for build,

test, infrastructure and deployment automation.

Scripting & coding Practical automation using Python, Groovy, Bash or PowerShell, with sound

software engineering and source-control practices.

Incident management Major incident response, structured troubleshooting, root-cause analysis, problem

management and post-incident improvement.

Cloud security Working knowledge of IAM, least privilege, secrets, secure configuration, policy

controls and operational risk management.

Networking & APIs Strong understanding of Linux/Unix, DNS, TCP/IP, routing, load balancing, firewalls,

VPC connectivity, HTTP and API troubleshooting.

DevOps & toil reduction Automation-first mindset and experience replacing repetitive operational activity with

reliable engineering solutions.

Stakeholder collaboration Ability to explain service risk and technical options clearly and work effectively

across engineering, product, security and operations teams.

Technical environment

Cloud: Google Cloud Platform, cloud-native services and managed platform capabilities.

Observability: Dynatrace, telemetry, dashboards, SLI/SLO measures, logs, metrics and distributed traces.

Platform: Kubernetes, Docker, Linux/Unix, cloud networking and APIs.

Automation: Terraform, Python, Groovy, Bash and PowerShell.

Delivery: Jenkins, Azure DevOps, GitHub Actions, Git and automated release controls.

LLOYDS BANKING GROUP | ROLE PROFILE

Senior Site Reliability Engineer (GCP)

Public

Operational and engineering expectations

Senior Site Reliability Engineer (GCP)

Reliability and observability

Create service health models that combine application, infrastructure and customer-impact signals.

Use SLOs and error budgets to guide prioritisation between reliability improvement and feature delivery.

Tune alerts to be actionable, reduce noise and provide clear runbooks and escalation paths.

Perform production-readiness reviews covering capacity, dependencies, failure modes, recovery and monitoring.

Platform automation and delivery

Create reusable Terraform modules and automated environment patterns that are secure, reviewable and repeatable.

Integrate infrastructure and application changes into CI/CD with validation, approvals, auditability and rollback options.

Automate cluster operations, routine maintenance, evidence collection and common remediation activities.

Use code reviews, testing and version control to maintain engineering quality across infrastructure and operational tooling.

Incident and problem management

Coordinate technical diagnosis during major incidents and communicate impact, findings and recovery actions clearly.

Complete evidence-based root-cause analysis and convert learning into engineering backlog improvements.

Identify recurring failure patterns and remove underlying causes rather than relying on repeated manual intervention.

Improve runbooks, diagnostics and recovery automation based on operational experience.

Desirable experience

Professional GCP certification or equivalent evidence of advanced Google Cloud capability.

OpenTelemetry, Google Cloud Monitoring, service mesh or distributed tracing experience.

GitOps, policy as code, secrets management and automated compliance controls.

Hybrid or multi-cloud environments and large-scale enterprise cloud networking.

Financial services or another highly regulated, security-conscious environment.

On-call operations, resilience testing, disaster recovery and capacity engineering.

Candidate profile

Hands-on engineer who can move confidently between code, cloud infrastructure, Kubernetes and production diagnostics.

Uses evidence and service data to prioritise improvements and make reliability trade-offs transparent.

Communicates calmly during incidents and builds constructive relationships across technical and non-technical teams.

Promotes learning, automation and continuous improvement while maintaining strong security and control standards.

Job title keywords

Site Reliability Engineer (SRE) | Cloud SRE | Google Cloud SRE | DevOps Engineer with Observability | Cloud Platform

Engineer | Observability Engineer

Success measures

Improved availability, service performance and operational resilience.

Reduced alert noise, incident recurrence and manual operational toil.

Consistent, secure infrastructure delivery through reusable automation.

Clear service ownership, measurable SLOs and effective operational readiness.