Summary
✨ AI‑Generated
A senior DevOps position focused on designing and operating cloud infrastructure for production AI solutions. The role includes automation, deployment pipelines, reliability engineering, and architecture work.
Highlights
Senior cloud engineering role with ownership of AI infrastructure, automation, reliability, and technical architecture.
Description
Senior DevOps Engineer, AI & AWS
€65,000 to €75,000 (DOE) + benefits + Dublin, Hybrid 3 times in the office
Our client, a global organisation within Financial Services, is growing its AI function in Dublin and is looking for a Senior DevOps Engineer to help design, deploy and operate the AWS infrastructure behind production AI solutions.
This is a hands-on role with strong ownership across cloud architecture, AWS, Infrastructure as Code, CI/CD and production reliability, with the opportunity to influence technical design as the team grows.
What You’ll Do
• Design and manage scalable AWS cloud infrastructure for production AI applications.
• Build and automate infrastructure using CloudFormation and Terraform.
• Develop and maintain CI/CD pipelines and deployment automation.
• Work with Lambda, CloudWatch, S3, IAM, EC2, ECS/Docker and RDS.
• Design infrastructure for high availability, resilience and disaster recovery.
• Create solution architecture diagrams and technical documentation.
• Support monitoring, troubleshooting and operational reliability in production.
Must Haves
• Strong hands-on AWS cloud infrastructure experience.
• Strong cloud infrastructure and solution architecture experience.
• Hands-on CloudFormation and/or Terraform experience.
• Strong CI/CD and DevOps automation experience.
• Experience with Lambda, CloudWatch, S3 and IAM.
• Experience designing resilient, highly available and recoverable systems.
• Python and/or Bash/Shell scripting experience.
• Strong communication skills and experience working in Agile environments.
Nice to Haves
• Financial Services experience.
• Exposure to AI, Machine Learning, LLMs or Generative AI.
• Experience with data pipelines, APIs, microservices, serverless or containerised applications.
Why Apply?
Join a growing Dublin AI team at an early stage, where you can influence cloud architecture and technical decisions while helping take AI solutions from development into scalable, reliable production environments.