Platform Engineer

Project Global Limited; Greater London; Hybrid; GBP 83,000 - 120,000; Full time

Job summary

Project Global Limited seeks a Platform Engineer in London for a hybrid role, combining remote work in the UK with in-office presence three days a week. The contract runs 6+ months and is to start ASAP, offering a competitive day rate.

You will design, develop, and maintain tools and platforms that streamline the software development lifecycle, focusing on scalable, reliable infrastructure and seamless deployment processes across teams.

Qualifications

• Proficiency in Python/Java/Groovy/Go for platform tooling and scripting.
• Strong Linux (RHEL) and Windows OS skills.
• Experience with Jira, Confluence, Bitbucket, Nexus, Zephyr for SDLC tooling.
• CI/CD experience with Jenkins, Bamboo, GitLab, Ansible.
• Cloud knowledge across AWS/Azure/GCP.
• Security tooling for SCA/SAST/DAST.
• Monitoring/logging with Splunk, Dynatrace, Datadog, Prometheus, Grafana.
• Git proficiency and scripting (Bash/PowerShell/Perl).
• Containerization with Docker and Kubernetes.

Responsibilities

• Design, develop, and maintain tools supporting software development, testing, and deployment processes.
• Implement automation to streamline workflows and reduce manual tasks.
• Ensure seamless integration of tools with existing systems and platforms.
• Monitor tool performance, troubleshoot, and perform regular maintenance.
• Collaborate with development, operations, and QA teams to deliver effective solutions.
• Create and maintain tool/process documentation for knowledge sharing.
• Stay updated with latest tech trends in platform engineering and tooling.
• Implement security measures to protect tools and systems.
• Provide training and support to team members on tools and systems.

Skills

Python

Java

Groovy

Go

Linux

Windows

Jira

Confluence

Bitbucket

Nexus

Zephyr

Jenkins

Bamboo

GitLab

Ansible

AWS

Azure

Google Cloud

SCA

SAST

DAST

Splunk

Dynatrace

Datadog

Prometheus

Grafana

Git

Bash

PowerShell

Perl

Docker

Kubernetes

Tools

Terraform

Kubernetes

CloudFormation

Job description

Platform Engineer

Job Reference Number: PG1

Our client, a leading global supplier for IT services, requires Platform Engineer to be based at their client’s office in London, UK.

This is a hybrid role – you can work remotely in the UK and attend the London office 3 days per week.

This is a 6+ month temporary contract to start asap

Day rate: Competitive Market rate

As a Platform Engineer you will be responsible for developing, maintaining, and optimizing the tools and systems that support the software development lifecycle. This role focuses on creating efficient, scalable, and reliable platforms that enhance the productivity of development teams and ensure seamless integration and deployment of applications.

Key Responsibilities

• Tool Development: Design, develop, and maintain tools that support software development, testing, and deployment processes.
• Automation: Implement automation solutions to streamline workflows and reduce manual intervention.
• Integration: Ensure seamless integration of tools with existing systems and platforms.
• Monitoring and Maintenance: Monitor the performance of tools and systems, troubleshoot issues, and perform regular maintenance to ensure reliability.
• Collaboration: Work closely with development, operations, and quality assurance teams to understand their needs and provide effective solutions.
• Documentation: Create and maintain documentation for tools and processes to ensure clear communication and knowledge sharing.
• Innovation: Stay updated with the latest technologies and best practices in platform engineering and tool development.
• Security: Implement security measures to protect tools and systems from potential threats.
• Training and Support: Provide training and support to team members on the use of tools and systems.

Key Requirements

Essential Skills

• Programming Languages: Proficiency in languages like Python, Java, Groovy, or Go.
• Operating Systems: Proficiency in Linux(RHEL) and Windows systems.
• SDLC Tools: Experience with tools such as Jira, Confluence, Bitbucket, Nexus, Zephyr.
• CI/CD Tools: Experience with tools such as Jenkins, Bamboo, GitLab, Ansible.
• Cloud Platforms: Knowledge of cloud services like AWS, Azure, or Google Cloud Platform.
• Security: Experience with tools for delivering SCA, SAST, DAST capabilities.
• Monitoring and Logging: Proficiency with tools like Splunk, Dynatrace, Datadog, Prometheus, Grafana.
• Version Control: Strong understanding of Git and version control practices.
• Scripting: Skills in scripting languages like Bash, PowerShell, or Perl.
• Containerization: Familiarity with Docker and orchestration tools like Kubernetes

AI Skills

• AI-Assisted Coding and Scripting: Use AI coding assistants to accelerate Python, Bash, PowerShell, Groovy, and pipeline script development while validating generated code for correctness, security, and maintainability.
• Prompt Engineering for Engineering Workflows: Create clear prompts for troubleshooting, documentation, and operational runbooks to improve speed and consistency.
• AIOps and Intelligent Observability: Apply AI to analyze logs, metrics, traces, alerts, and incident history to detect anomalies, identify root causes, reduce noise, and improve mean time to resolution.
• AI-Enhanced CI/CD Optimization: Use AI to identify flaky tests, optimize build and deployment pipelines, review pipeline configuration, estimate deployment risk, and recommend rollback or release strategies.
• Infrastructure as Code Generation and Review: Leverage AI to draft, refactor, and review Terraform, Ansible, Kubernetes, and cloud configuration templates while enforcing standards and guardrails.
• AI-Driven Security and Compliance: Use AI-assisted scanning and analysis to support SCA, SAST, DAST, secrets detection, cloud misconfiguration checks, and remediation planning.
• Knowledge Management and Documentation Automation: Use AI to summarize technical discussions, generate onboarding guides, maintain tool documentation, and convert operational knowledge into reusable self-service content.
• AI Workflow Automation: Design AI-assisted automations and lightweight agents that reduce repetitive manual tasks across ticket triage, environment provisioning, incident response, and developer support.

Desirable Skills

• Collaboration: Excellent teamwork and communication skills to work effectively with cross‑functional teams.
• Problem‑Solving: Strong analytical and troubleshooting abilities to resolve issues quickly.
• Adaptability: Ability to adapt to new technologies and methodologies in a fast‑paced environment.
• Attention to Detail: Precision in managing configurations and deployments to avoid errors.
• Continuous Learning: Commitment to staying updated with the latest trends and tools in platform engineering.