Platform Engineering

Xpertise Recruitment
Charing Cross, United Kingdom
2 days ago

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
£ 208K

Job location

Charing Cross, United Kingdom

Tech stack

Amazon Web Services (AWS)
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Bash
Cloud Computing
Cloud Engineering
Github
Identity and Access Management
Python
Linux System Administration
Powershell
Scripting (Bash/Python/Go/Ruby)
Cloud Platform System
Cloudformation
Gitlab-ci
Kubernetes
Kafka
Data Management
Functional Programming
Cloudwatch
Terraform
Docker
Jenkins

Job description

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.

Requirements

We are seeking an exceptional Senior AWS Devops 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., * 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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