Senior AWS DevOps Engineer

🔥 3 hours ago

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Tieto

WebsiteLinkedInAll Job Openings

10,000+ employees

💼 Consulting

☁️ SaaS

🤖 Artificial Intelligence

Consulting • SaaS • Artificial Intelligence

Tieto is a Nordic IT services and software company that helps organizations turn ideas into results by providing AI and data solutions, software products, cloud and software development, and design and consulting services. It serves multiple verticals — including banking (Tieto Banktech), healthcare (Tieto Caretech), industrial/manufacturing (Tieto Indtech), telecom, public sector, energy and paper and fibre — and emphasizes AI, cloud and digital transformation for enterprise customers.

📋 Description

• Hands-on work with modern AWS services (Fargate, EKS, Lambda, S3, RDS) and CI/CD tooling such as ArgoCD and GitHub Actions to support reliable, scalable, and production-grade systems • Lead operations for multi-tenant SaaS workloads on AWS, ensuring scalability, high availability, and cost efficiency • Build and maintain scalable infrastructure supporting production applications, data platforms, and AI/ML workloads • Improve operational excellence through incident response, postmortems, automation, and proactive monitoring • Manage and enhance CI/CD pipelines supporting both application and ML deployment workflows • Build and maintain infrastructure automation using Infrastructure as Code (AWS CDK or Terraform) • Enable self-service capabilities for engineering and data science teams • Monitor and optimize cloud usage across compute, GPU, and storage resources, implementing cost controls and forecasting • Support and automate ML pipelines, including training, testing, and deployment using AWS SageMaker, Kubeflow, or MLflow • Manage GPU and compute clusters (EKS, ECS, EC2) for model training and inference workloads • Develop and maintain monitoring, alerting, observability, and security best practices • Collaborate closely with Engineering, Data, AI/ML, and PlatformOps teams to ensure smooth cross-team delivery

🎯 Requirements

• 6+ years of experience in DevOps/ CloudOps/ SRE • Strong hands-on experience with AWS services such as EKS, ECS/Fargate, EC2, Lambda, S3, RDS, IAM, CloudWatch, and CloudTrail • Very good understanding of Kubernetes and containerized workloads in production environments • Experience building CI/CD pipelines and automating infrastructure using Infrastructure as Code tools • Proficiency in scripting or automation using Python, Bash, or similar languages • Knowledge of cloud cost optimization, right-sizing strategies, and FinOps best practices • Experience with monitoring and observability platforms such as ELK, Grafana, Splunk and OpenTelemetry • Familiarity with MongoDB operations and performance tuning • Strong communication and collaboration skills in cross-functional environments • Excellent written and spoken English. • Experience with multi-tenant SaaS architecture is a significant advantage • Experience working in security- or compliance-focused environments is a significant advantage • Exposure to GPU infrastructure and ML inference optimization is a significant advantage.

🏖️ Benefits

• Professional development • Work-life balance