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DevOps Engineer | AWS Cloud & Architecture | Artificial Intelligence

RECRUITERS

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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