Senior Platform Engineer

About This Opportunity

We are representing a confidential SaaS organization seeking a Senior Platform Engineer to join their engineering team in Manchester, England. This is a hands-on role with real impact, where you'll champion deployment architecture and platform maturity while helping to modernize how the organization deploys and scales workloads.

You'll be embedded within engineering teams, optimizing delivery across their on-premise estate while acting as a key stakeholder in shaping and rolling out a new Kubernetes platform. This isn't about rubber-stamping tickets—you'll have true autonomy over CI/CD pipelines, automated guardrails, and migration strategies.

Responsibilities

Platform Stability & BAU:

• Utilize and contribute to Ansible-based deployment automation to facilitate seamless product releases
• Monitor application-level health within the cluster and collaborate on incident response
• Drive post-mortems for engineering-led deployments
• Maintain clear documentation, deployment runbooks, and developer self-service guides

Kubernetes Platform Development:

• Represent Engineering as a key stakeholder in platform design, collaborating to shape self-service workflows, guardrails, and standards
• Contribute requirements for Kubernetes primitives (Gateway API, RBAC, admission controllers, resource policies)
• Standardize application-level configurations for ingress, RBAC, namespacing strategy, and secrets management
• Drive phased application migrations, partnering with teams to containerize and migrate workloads
• Build robust CI/CD workflows for Kubernetes-based deployments using Helm, Kustomize, ArgoCD, or similar tools
• Implement application observability with metrics, logging, and alerting
• Create comprehensive developer self-service documentation

What We're Looking For

Must-Have Skills:

• Strong interpersonal and communication skills—ability to collaborate openly and bring people together on complex technical projects
• Strong, demonstrable experience with Ansible (roles, inventories, vault, idempotency)
• Comfortable with Docker and Docker Compose in production environments
• Understanding of networking fundamentals
• Strong scripting ability in Bash and Python
• Experience with GitOps tooling (ArgoCD or Flux)
• Experience with observability tooling (Prometheus, Grafana, Loki, Alertmanager, or equivalent)
• Ability to think creatively within constraints and plan pragmatically—deliver iteratively while roadmapping towards the ideal state
• Methodical, security-conscious approach

Nice-to-Have:

• Familiarity with Helm chart authoring and management
• Experience with infrastructure-as-code tools such as Terraform
• Experience with secrets management tooling (HashiCorp Vault, Sealed Secrets, External Secrets Operator)
• Prior experience balancing greenfield work alongside BAU responsibilities

The Right Mindset:

• Comfortable being the go-to person when engineering teams need support, while also knowing when to schedule work properly
• Can hold your own in conversations with software engineers, network engineers, and senior leadership
• Treat documentation as part of the job, not an afterthought—you write things down
• Have opinions about best practices but remain pragmatic about tool selection
• Autonomously drive outcomes and demonstrate initiative

How We Work With You

When you apply through Get A Job.ai, our talent team will review your background and schedule an initial screening conversation. We'll discuss your platform engineering experience, your approach to Kubernetes migrations, and what you're looking for in your next role.

If there's a strong match, we'll submit your profile to our client for consideration. You'll then enter their interview process, which will assess both your technical capabilities and cultural fit. Throughout the process, we'll provide guidance and feedback.

Important: Please apply exclusively through Get A Job.ai. Do not attempt to contact the client directly, as this may disqualify your application.

Pay

Pay details will be discussed during the screening process based on your experience level and the client's approved range.

Equal Opportunity

Get A Job.ai is committed to fostering an inclusive recruitment process. We welcome applications from candidates of all backgrounds and experiences, regardless of race, ethnicity, gender identity, sexual orientation, age, disability status, or any other protected characteristic.