Platform Engineer - 6 months - Inside IR35

Overview

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.

Key Responsibilities

• 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.

Required Skills & Experience

• 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.