Job Description

A part of global technology organization Tieto, MentorMate creates durable technical solutions that deliver digital transformation at scale by blending strategic insights and thoughtful design with brilliant engineering. With mature and established practices in enterprise web and mobile development, quality engineering, technical architecture, human-centered design, cloud, DevOps, data, and analytics, the company provides its people with the opportunity to work on impactful, global projects for recognizable brands.

We’re looking for a Senior AWS DevOps Engineer to join a global team of our clients, modernizing a cloud-native healthcare SaaS platform used for data-driven and AI-powered solutions. You’ll help shape the infrastructure that enables engineering and data science teams to move faster, deploy safely, and scale confidently. This is a hands-on role for someone who enjoys building reliable systems, improving developer experience, automating everything possible, and working close to both platform and AI/ML teams.

Key Responsibilities

• 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

Required Experience & Qualifications

• 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

A significant advantage would be

• Experience with multi-tenant SaaS architecture
• Experience working in security- or compliance-focused environments
• Exposure to GPU infrastructure and ML inference optimization

Additional Information

At Tieto, we believe in the power of diversity, equity, and inclusion. We encourage applicants of all backgrounds, genders (m/f/d), and walks of life to join our team, as we believe that this fosters an inspiring workplace and fuels innovation. Our commitment to openness, trust, and diversity is at the heart of our mission to create digital futures that benefit businesses, societies, and humanity.

Diversity, equity and inclusion (tietoevry.com)