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Platform Engineer - GCP. LilyLifestyle

Job in Manchester, Greater Manchester, M9, England, UK
Listing for: United Cerebral Palsy of Georgia
Full Time position
Listed on 2026-06-01
Job specializations:
  • IT/Tech
    Cloud Computing, Systems Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 GBP Yearly GBP 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: Platform Engineer - GCP. Job Lily Lifestyle Jobs

Platform Engineer – Digital Engineering Team

Prestigious opportunity for a talented and experienced Platform Engineer to join a rapidly growing digital engineering team delivering cutting edge solutions across a diverse portfolio of clients. This is hands on applying your deep engineering and architectural expertise to design, build, and evolve scalable platform solutions that drive digital transformation within some of the UK's most exciting organisations.

Key Responsibilities
  • Design, build, and maintain robust cloud platforms and CI/CD pipelines
  • Contribute across the full software development lifecycle
  • Provide technical leadership and input into system and architecture design
  • Collaborate with cross‑functional teams to deliver scalable, reliable solutions
  • Write clean, well‑documented code and contribute to technical documentation
  • Proactively monitor, troubleshoot, and resolve production issues
  • Continuously improve platform performance, security, and reliability
  • Stay current with emerging technologies and drive innovation and adoption
  • Communicate complex technical ideas to both technical and non‑technical stakeholders
Required Skills
  • Strong experience designing and managing cloud‑native platforms on Google Cloud Platform (GCP)
  • Hands‑on expertise with services such as Compute Engine, GKE (Kubernetes), Cloud Storage, VPC networking, IAM, Cloud Functions
  • Proven experience with Infrastructure as Code (e.g., Terraform)
  • Strong background in CI/CD pipeline design (e.g., Jenkins, Git Lab CI, Cloud Build)
  • Proficiency in scripting/programming (Python, Bash, Go)
  • Experience with containerisation & orchestration (Docker, Kubernetes)
  • Solid understanding of cloud networking, security, and identity management
  • Experience with monitoring & observability tools (Prometheus, Grafana, ELK, or similar)
  • Strong Git/version control experience
  • Exposure to multi‑cloud or hybrid cloud environments (AWS, Azure, on‑premise)
  • Exposure to service mesh technologies (Istio, Linkerd) and configuration management tools (Chef, Puppet)
  • Knowledge of SRE principles and practices
  • Familiarity with GCP AI/ML services (AI Platform, AutoML)
Benefits

Ongoing career development and a market‑leading benefits package in a flexible, hybrid working environment.

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