Platform Engineer

Platform Engineer

As a Platform Engineer, you will be responsible for designing, building, and maintaining secure, scalable, and resilient cloud platforms that enable the successful delivery of enterprise applications and digital services. 

Key Responsibilities:

Platform Engineering & Infrastructure

• Design, build, and manage cloud infrastructure across Azure environments, including networking, compute, storage, identity, and security services.
• Develop and maintain scalable, reusable, and production-ready infrastructure patterns.
• Implement Infrastructure-as-Code (IaC) solutions to automate platform provisioning and configuration management.
• Ensure platform components comply with enterprise architecture, security, and operational standards.
• Support engineering teams by providing reliable and scalable platform services for application delivery.

DevOps & Delivery

• Design, implement, and maintain CI/CD pipelines and automated deployment processes.
• Automate environment provisioning and infrastructure lifecycle management.
• Support Agile and sprint-based delivery models with a focus on quality, speed, and governance.
• Embed quality assurance and engineering best practices throughout the platform delivery lifecycle.
• Contribute to release management, production readiness assessments, and governance processes.
• Develop and maintain operational documentation and runbooks.

Platform Operations & Reliability

• Ensure platform readiness through monitoring, alerting, resilience, and disaster recovery capabilities.
• Implement observability solutions, including logging, metrics, and performance monitoring.
• Support incident management, root cause analysis, and continuous service improvement.
• Optimise platform performance, availability, and scalability to meet evolving business demands.
• Drive operational excellence through proactive maintenance and automation.

• Leverage AI-assisted engineering tools to accelerate infrastructure development, scripting, and automation.
• Apply AI-driven insights to improve platform monitoring, performance optimisation, and incident resolution.
• Support the adoption of AI-assisted engineering practices across Platform and DevOps teams.
• Validate AI-generated outputs to ensure they are secure, accurate, and aligned with enterprise standards.
• Continuously evaluate emerging AI technologies and automation capabilities to improve engineering productivity and delivery quality.

Required Skills & Experience:

• Proven experience designing, implementing, and managing cloud infrastructure within enterprise environments.
• Strong expertise in Microsoft Azure platform services, including networking, compute, storage, identity, and security.
• Hands-on experience with Infrastructure-as-Code technologies such as Terraform, Bicep, or ARM templates.
• Strong background in DevOps practices, CI/CD pipelines, and deployment automation.
• Experience with Azure DevOps, Git, and modern source control workflows.
• Knowledge of containerisation and modern application hosting technologies, including Docker.
• Experience implementing monitoring, logging, and observability solutions.
• Strong understanding of cloud security, scalability, resilience, and performance optimisation.
• Experience supporting production environments and operational platform services.

Professional Skills:

• Strong analytical and problem-solving capabilities.
• Ability to collaborate effectively across engineering, data, AI, and business teams.
• Experience working within Agile delivery frameworks and sprint-based environments.
• Excellent communication, documentation, and stakeholder engagement skills.
• Commitment to continuous learning and adoption of emerging cloud and platform technologies.