Platform Engineer - 6 months - Inside IR35

Hamilton Barnes
Charing Cross, United Kingdom
yesterday

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

Charing Cross, United Kingdom

Tech stack

Java
Artificial Intelligence
Amazon Web Services (AWS)
Confluence
JIRA
Azure
Bash
Cloud Computing
Continuous Integration
Linux
DevOps
Perl
Groovy
Monitoring of Systems
Python
Cisco Nexus Switches
Powershell
Systems Development Life Cycle
Red Hat Enterprise Linux - RHEL
Ansible
Prometheus
Datadog
Scripting (Bash/Python/Go/Ruby)
Google Cloud Platform
System Availability
Grafana
Software Security
Gitlab
GIT
Infrastructure Automation Frameworks
Deployment Automation
Bitbucket
Splunk
Dynatrace
Bamboo
Docker
Jenkins
Static Application Security Testing
Dynamic Application Security Testing

Job description

  • Design, build, and maintain platform engineering tools and services.
  • Develop and enhance CI/CD pipelines to support efficient software delivery.
  • Automate infrastructure provisioning, deployment, and operational processes.
  • Integrate development, testing, and deployment tools across the SDLC.
  • Monitor platform performance and resolve operational issues.
  • Implement security best practices across platforms and pipelines.
  • Collaborate with development, QA, and operations teams to improve engineering productivity.
  • Produce and maintain technical documentation and operational runbooks.
  • Support continuous improvement through automation and adoption of modern engineering practices.

Requirements

We are seeking an experienced Platform Engineer to join a leading financial services programme based in London. This role is ideal for an engineer with a strong background in DevOps, platform engineering, automation, and cloud technologies who is passionate about building scalable, secure, and reliable engineering platforms., * Strong experience with Python, Java, Groovy, or Go.

  • Good knowledge of Linux (RHEL) and Windows environments.
  • Hands-on experience with CI/CD tools such as Jenkins, GitLab, Bamboo, or Ansible.
  • Experience with SDLC tools including Jira, Confluence, Bitbucket, Nexus, and Zephyr.
  • Knowledge of AWS, Azure, or Google Cloud Platform.
  • Experience with Docker and Kubernetes.
  • Strong understanding of Git and version control.
  • Experience with monitoring and observability tools such as Splunk, Dynatrace, Datadog, Prometheus, or Grafana.
  • Scripting experience using Bash, PowerShell, or Perl.
  • Familiarity with application security tooling including SAST, DAST, and SCA.

Desirable

  • Experience working within Financial Services or other regulated environments.
  • Strong troubleshooting and analytical skills.
  • Excellent communication and stakeholder engagement.
  • Ability to work effectively within Agile delivery teams.
  • Passion for automation, platform reliability, and continuous improvement.

AI Experience

  • Experience using AI-assisted coding tools to improve engineering productivity.
  • Understanding of AI-driven observability and incident analysis.
  • Exposure to AI-assisted CI/CD optimisation and Infrastructure as Code generation.
  • Experience using AI to support security, documentation, and operational automation.

Apply for this position