Job Description:
This role is hybrid, 3 days per week in our offices at Parkwest Business Park, Dublin.
The Opportunity
We are looking for an experienced engineer to lead and shape our Platform & AI Enablement team, Trailblazers. This role combines two critical missions: building our internal developer platform with paved paths and development portal capabilities, while pioneering AI-powered tools and practices that transform how our 300+ engineers build software.
Our team's mission is to provide self-service capabilities to developers which drives quality, standardization, and velocity across the entire organization. We believe in the principles of Platform Engineering to identify the pain points impacting Workhuman product teams and enable those teams by providing common, reusable tools and capabilities via an internal developer platform (IDP). Simultaneously, we're at the forefront of AI enablement, developing AI coding agents, context engineering solutions, and agentic IDE integrations that embed our architectural guidelines and best practices directly into developer workflows.
Tech Stack
Platform Engineering: Java 8 and 17, Python, Spring, RESTful APIs, Apache Camel, ActiveMQ, Apache Kafka, AWS, Terraform, Oracle DB, PL/SQL, PostgreSQL, NoSQL, JMeter, Jenkins, Sonar, Maven, Gitlab CI/CD, Git, Docker/Containerization
AI Enablement: Claude (Anthropic), AWS Bedrock, Large Language Models (LLMs), Model Context Protocol (MCP), Agentic workflows, Context engineering, Prompt engineering, AI-assisted development tools
What We Can Offer You
1. An opportunity to technically lead our platform enablement team, liaising with our product engineers to understand and solve engineering pain points
2. An opportunity to design and build out our best practice service templates, orchestration and infrastructure
3. An opportunity to build and curate our Internal Developer Platform (IDP)
4. An opportunity to automate governance of our deployments at scale
5. An opportunity to build and deploy AI-powered developer tools that enable our engineers to leveragecutting-edge AI capabilities safely and effectively
6. An opportunity to establish AI enablement frameworks, patterns, and best practices across the engineering organization
The Skills You Will Bring
7. You have 10+ years working in enterprise applications development with the following: Java, Spring, microservices
8. You have hands-on experience with AWS services (e.g. ECS, ECR, Lambda functions, API Gateway, S3, CloudFront, AWS Batch, CloudWatch...) and CI/CD pipelines
9. Strong understanding of platform engineering principles and internal developer platform patterns
10. Hands-on experience building or implementing AI-powered development tools, coding assistants, or agentic workflows
11. Understanding of prompt engineering, context engineering, and AI safety consideration
12. Knowledge of Model Context Protocol (MCP) or similar AI integration frameworks
13. You can evangelize and drive adoption of both platform capabilities and AI tools across a diverse engineering organization
Achievements
14. You have experience in creating paved paths or best practice tools or services or have worked on implementing an Internal Developer Platform (IDP) in the past
15. You have successfully introduced AI capabilities or tools within an engineering organization