DevOps Engineer | AWS Cloud & Architecture | Artificial Intelligence
RemoteDublin, County Dublin, IrelandEUR 75k–80kseniorFull-time
- Posted
- today
- Source
- LinkedIn (remote, Europe)
- Field
- Engineering
Skills
AIMachine LearningTerraformPower BISecurityTableauPythonDockerDevOpsCI/CDAgileJiraLLMsAWSGit
Description
DevOps Engineer - AWS Cloud & Architecture | Artificial Intelligence | CI/CD | Terraform
€75,000–€80,000 Base + Benefits | Hybrid in Dublin City Centre, 3 Days per Week in the Office
Our client, a leading global financial services organisation, is expanding its Artificial Intelligence team and is looking for a DevOps Engineer with 3–5 years of experience to help deploy, scale and maintain AI-powered applications in AWS.
This is an opportunity to work with modern cloud infrastructure, contribute to architecture decisions and support the delivery of AI solutions used across a global business.
What You'll Be Doing:
- AWS Cloud Infrastructure: Design, deploy and maintain scalable, secure and reliable cloud environments supporting AI applications.
- CI/CD & Automation: Build and maintain automated deployment pipelines to streamline software delivery.
- Infrastructure as Code: Use CloudFormation and Terraform to provision and manage cloud infrastructure.
- Cloud Architecture: Contribute to infrastructure and solution designs, working alongside senior engineers and architects.
- AI Deployment: Support the transition of AI applications from development into production AWS environments.
- Monitoring & Security: Work with CloudWatch, IAM and AWS security practices to maintain reliable cloud operations.
- Disaster Recovery: Support backup, recovery strategies, high availability and platform resilience.
- Technical Documentation: Create architecture diagrams, operational documentation and technical playbooks.
- Collaboration: Work with engineering and business teams in an Agile environment to deliver cloud-based solutions.
What We're Looking For | Must-Haves:
- 3–5 years of hands-on experience in DevOps, Cloud Engineering, Platform Engineering or a related technical role.
- AWS Cloud Infrastructure: Strong practical experience deploying, managing and supporting AWS environments.
- AWS Services: Working knowledge of CloudFormation, Lambda, CloudWatch, S3 and IAM.
- CI/CD Pipelines: Hands-on experience implementing and maintaining automated deployment pipelines.
- Infrastructure as Code: Practical experience with CloudFormation, Terraform or similar IaC tools.
- Cloud & Solution Architecture: Experience contributing to cloud infrastructure design, scalable solutions and technical architecture decisions.
- Architecture Diagrams: Ability to create and maintain infrastructure and solution architecture diagrams.
- Python and/or Bash: Working knowledge of scripting for automation and operational tasks.
- Git & Version Control: Experience using Git and source-control workflows.
- Docker & Containers: Familiarity with containerised applications and Docker.
- Security & Resilience: Understanding of IAM, cloud security, disaster recovery, backups and recovery strategies.
- Data Pipelines: Understanding of data pipelines and cloud-based data processing.
- Agile Delivery: Experience working within Agile software development teams.
Nice to Have:
- Stronger experience in Solution Architecture and cloud infrastructure design.
- Experience with AWS ECS, EC2, RDS and ELB.
- Exposure to AI, Machine Learning, LLMs or Generative AI applications.
- Experience supporting AI/ML workloads in AWS.
- Knowledge of APIs, microservices and event-driven architectures.
- Experience in Financial Services or Hedge Fund Administration.
- Familiarity with Jira, Confluence, Power BI, Tableau or Qlik.
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