Enablement Platform Engineer

Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change. By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses. From prototype to real-world impact - be part of a global shift by doing work that matters.

Required Skills and Experience:

• 4+ years of experience in Platform Engineering, Cloud Engineering, DevOps Engineering or Software Engineering.
• Experience building or operating shared engineering platforms or internal developer platforms.
• Strong understanding of platform automation and engineering enablement.
• Strong experience with Microsoft Azure.
• Experience with Docker and containerised workloads.
• Experience with Infrastructure as Code using OpenTofu or Terraform.
• Experience developing and maintaining CI/CD pipelines using Azure DevOps and GitHub.
• Experience automating engineering workflows and cloud infrastructure.
• Strong scripting skills using PowerShell, Python or Bash.
• Experience designing reusable automation solutions.
• Experience with observability platforms such as Datadog, Azure Monitor, Grafana or Prometheus.
• Understanding of telemetry, logging and distributed tracing.
• Experience supporting production platform services.
• Strong understanding of modern software engineering practices.
• Experience collaborating with multiple engineering teams.
• Excellent analytical and problem-solving skills.
• Strong communication and stakeholder management skills.
• Passion for continuous improvement and engineering excellence.

Preferred Skills and Experience:

• Experience with GitHub Copilot and AI-assisted software development tools.
• Experience with internal developer platforms, platform engineering or developer experience capabilities.
• Familiarity with SonarQube, package management platforms and engineering governance tooling.
• Familiarity with vector databases, Retrieval-Augmented Generation (RAG) and Large Language Models (LLMs).
• Experience contributing to AI engineering platforms or shared engineering services.
• Understanding of service management practices in an enterprise technology environment.

AI Engineering Platform:

• Develop, maintain and evolve platform services supporting AI-assisted software engineering.
• Build capabilities that enable software engineering teams to adopt Agentic Engineering practices.
• Support continuous evolution of WTW's internal AI Engineering Platform.
• Improve developer experience through reusable engineering platform capabilities and automation.

Platform Services:

• Own and evolve internal platform services including RAG knowledgebase systems, observability, package management and code quality tooling.
• Support operational ownership of GitHub Copilot enablement services.
• Contribute to engineering governance capabilities supporting AI-assisted development.
• Maintain platform services that enable engineering teams to safely and efficiently consume AI capabilities.

Cloud & Platform Engineering:

• Design, automate and maintain cloud infrastructure running on Microsoft Azure.
• Develop Infrastructure as Code using OpenTofu/Terraform.
• Build and improve CI/CD pipelines supporting engineering platform services in both Azure DevOps and GitHub.
• Develop automation solutions supporting engineering workflows and platform operations with a high emphasis on self-serve operations.
• Improve scalability, reliability, and operational resilience of engineering platform services.

Observability & Operations:

• Implement and operate monitoring, telemetry and observability solutions supporting engineering platform services.
• Improve operational visibility through logging, tracing and metrics.
• Troubleshoot platform issues and support engineering teams adopting platform capabilities.
• Participate in production support and operational improvements where required.

Engineering Enablement:

• Work closely with software engineering teams to support adoption of AI-assisted development tools.
• Collaborate with Engineering Managers, Architects and Platform Engineers to continuously improve engineering workflows.
• Promote engineering best practices, automation and platform governance.
• Evaluate emerging AI engineering technologies and contribute to future platform direction.

The gross base salary is determined using objective and gender-neutral criteria including skillset, experience and role responsibilities, in accordance with the Polish Labour Code amendments implementing Directive on pay transparency. Endava does not consider candidates’ current or past remuneration during recruitment. Endava is committed to an open, inclusive, and respectful environment and welcomes applications from people of all backgrounds. Hiring decisions are based on merit, skills, qualifications, and potential. Candidates can request adjustments or support during recruitment process.