Job Vacancy Principal Platform Engineer

In this role, you will provide technical leadership for a critical platform service, ensuring it remains secure, reliable, scalable, and aligned with client expectations. You will help define and mature platform engineering, DevSecOps, and automation strategies, driving improvements across software delivery, infrastructure management, observability, and operational resilience. Working closely with engineering, security, architecture, product, and delivery teams, you will influence technical direction while enabling the adoption of modern engineering practices and AI-assisted development capabilities.



You will lead by example, mentoring engineers and fostering a culture of continuous improvement, innovation, and accountability. You will have the opportunity to shape platform capabilities, improve developer experience through self-service tooling and automation, and contribute to strategic initiatives that enhance service quality, operational efficiency, and business outcomes.



Key responsibilities:



• Provide technical leadership and mentorship across the Platform Engineering team

• Shape the platform engineering and DevSecOps roadmap, driving adoption of secure and automated practices

• Enhance CI/CD pipelines to improve deployment speed, quality, and reliability

• Champion the responsible use of AI-assisted engineering tools across development and operational activities

• Contribute to the design of secure, scalable, and resilient platform architectures

• Own and continuously improve cloud tooling, infrastructure services, and delivery platforms

• Increase operational efficiency through automation of infrastructure, configuration, testing, and documentation processes

• Establish effective observability, monitoring, alerting, and incident management capabilities

• Embed security controls and compliance requirements throughout the engineering lifecycle

• Collaborate with architecture, security, product, delivery, and engineering teams to align platform capabilities with business objectives

• Lead root cause investigations and implement long-term service improvements

• Support the operational service through participation in the on-call rota for critical incidents

• Evaluate emerging technologies, platform engineering trends, and AI capabilities to drive continuous improvement

Required qualifications to be successful in this role

You should bring significant experience in platform engineering, DevSecOps, cloud infrastructure, and technical leadership within enterprise environments. You will have a strong track record of delivering secure, automated, and resilient platforms while leading teams, driving continuous improvement, and influencing engineering best practice. Experience with cloud technologies, infrastructure as code, observability platforms, security frameworks, and AI-assisted engineering approaches will be highly valuable.



Essential qualifications:



• Extensive experience in Platform Engineering, DevOps, Site Reliability Engineering, or DevSecOps leadership roles

• Expert knowledge of Azure and cloud-native engineering practices

• Proven success designing and implementing CI/CD solutions using Azure DevOps, Jenkins, GitHub Actions, and Git

• Advanced capability with Infrastructure as Code tools including Terraform, Azure Bicep, ARM Templates, and Ansible

• Deep understanding of Linux and/or Windows Server administration within enterprise environments

• Hands-on experience with containerisation and orchestration technologies such as Docker and Kubernetes

• Proficiency in scripting and automation using PowerShell, Bash, Python, or similar technologies

• Demonstrable expertise implementing observability solutions including Prometheus, Grafana, Dynatrace, ELK, or Zabbix

• Knowledge of cloud security, container security, and secure software delivery methodologies

• Familiarity with security frameworks and governance standards such as OWASP, CIS Benchmarks, and NIST

• Practical application of AI-assisted engineering tools to improve software delivery and operational outcomes

• Ability to define governance, controls, and assurance processes for responsible AI adoption

• Excellent stakeholder engagement, communication, problem-solving, and leadership skills



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