Platform Engineering

2 days ago

London, Greater London, United Kingdom Xpertise Recruitment Full time £31,200 - £37,200 per year

Senior AWS Cloud Platform Engineer (Contract)

Location:
London / WTS -
2 days per week in the office (with some flex)

Rate:
Up to
£870 per day
Inside IR35

Duration:
6 Months

Start Date:
January

We are seeking an exceptional
Senior AWS Cloud Platform Engineer
to join an enterprise-scale transformation programme. This role is ideal for someone who thrives in complex environments, enjoys shaping cloud strategy, and can provide deep technical leadership across infrastructure, automation, and platform engineering.

What You'll Do

You will lead the design, build, and optimisation of a large-scale AWS platform, working closely with engineering teams, architects, and senior stakeholders. You'll be hands-on with cloud infrastructure, automation tooling, and container orchestration, ensuring best-in-class reliability, security, and performance.

Key Skills & Experience (Essential)

  • Expert, hands-on AWS experience
    across EC2, ECS, EKS, Lambda, S3, IAM, CloudFormation, CloudWatch.
  • Strong proficiency with Terraform
    , including modular builds, remote state, and Terraform Cloud/Enterprise.
  • Proven experience architecting or leading large-scale cloud platform solutions
    in enterprise environments.
  • Familiarity with
    ITIL frameworks and processes
    ; ITIL certification highly desirable.
  • Solid
    Linux administration
    and automation scripting (Python, Bash, or PowerShell)
  • Deep knowledge of
    networking, security
    , and modern
    cloud architecture principles
    .
  • Experience building robust
    CI/CD pipelines
    (GitHub Actions, Jenkins, GitLab CI).
  • Strong background with
    Docker
    and
    Kubernetes
    .
  • Excellent
    communication
    , stakeholder engagement, and documentation skills.
  • Able to operate confidently in
    ambiguous, fast-paced enterprise settings
    .

Nice to Have (Not Essential)

  • Experience building or managing
    Kafka-based data platforms
    (streaming pipelines, automation, cloud-native deployment).
  • Background in
    consulting
    or
    startup environments
    .

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