Kubernetes Architect with AWS - Tieto Tech Consulting (m/f/d)

Tieto Tech Consulting (MentorMate from 2001 to 2026) provides design-led, data-centric, and AI-powered digital engineering & consulting services to enterprises worldwide. With a strong heritage of Nordic quality, local presence, and global-scale operations, we are backed by 8,500+ IT professionals. Our clients trust us for advanced data and analytics skills, top industry-specific expertise, specialized software R&D, and the capabilities of a multinational team. We are part of Tieto, a leading technology company with an annual revenue of approximately EUR 2bn.    Tieto Tech Consulting’s team in Bulgaria consists of 500+ professionals specializing in the development of tailored digital solutions in diverse industries.    We’re looking to hire a Kubernetes Architect with AWS to help modernize and scale a global digital health SaaS platform used for data‑driven and AI-powered healthcare solutions. In this role, you’ll lead the evolution of the cloud, ML, and Kubernetes infrastructure - driving reliability, automation, cost efficiency, and operational excellence across mission‑critical workloads. You’ll work hands‑on with a modern AWS stack (Fargate, EKS, Lambda, S3, RDS), ML platforms (SageMaker, Kubeflow, MLflow), and CI/CD tooling (ArgoCD, GitHub Actions), enabling engineering and data science teams to deliver faster, safer, and at scale.    Key Responsibilities       Lead operations for multi-tenant SaaS workloads on AWS, ensuring scalability, high availability, and cost efficiency  Design, implement, and maintain reliable infrastructure for production, data, and AI/ML workloads  Own incident response, postmortems, and operational runbooks to improve system reliability and reduce MTTR  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 temas to ensure smooth cross-team delivery     Required Experience & Qualifications  7+ years of experience in DevOps/ CloudOps/ SRE   Solid hands-on experience with AWS (Fargate, EKS, EC2, S3, RDS, Lambda, IAM, CloudWatch, CloudTrail), Kubernetes and containerized workloads  Proficiency with CI/CD tools, Infrastructure as Code (IaC), infrastructure automation, and scripting (Python, Bash, or similar)  Proven experience with AI/ML platforms (AWS SageMaker, Kubeflow, MLflow, or equivalent), and   cost‑efficient GPU/compute optimization  Working knowledge of MongoDB operations, monitoring, and performance tuning  Solid understanding of FinOps principles, cloud cost monitoring, and right-sizing strategies  Experience with production monitoring & incident management (Splunk, Grafana, OpenTelemetry)   Exposure to multi-tenant SaaS architectures and security or compliance frameworks is a plus  Strong collaboration, mentoring, and communication skills, with the ability to thrive in a fast-paced, evolving environment  Excellent spoken and written English language skills

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 | Sustainability | Tieto