Job Description

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 Tech Lead AWS DevOps Engineer 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 (GitHub Actions, ArgoCD), enabling engineering and data science teams to deliver faster, safer, and at scale. As part of your leadership responsibilities, you will collaborate closely with mid‑level DevOps engineers, providing guidance, technical mentorship, and support. You’ll help shape best practices, uplift engineering maturity, and ensure the team grows both technically and operationally.

Key Responsibilities

• Manage and enhance CI/CD pipelines supporting both application and ML deployment workflows
• Lead operations for multi-tenant SaaS workloads on AWS, ensuring scalability, high availability, and cost efficiency
• Build and maintain infrastructure automation using Infrastructure as Code (AWS CDK or Terraform)
• 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
• 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
• Infrastructure as Code (IaC) using AWS CDK
• Advanced CI/CD pipeline expertise (GitHub Actions, ArgoCD), including build optimization, tuning, and troubleshooting
• Hands-on experience with Amazon EKS (Kubernetes operations, deployments, scaling, cluster configuration)
• Strong troubleshooting skills across infrastructure, pipelines, runtime environments, observability, and incident management (Splunk, Grafana, OpenTelemetry)
• Deep operational experience with AWS (Fargate, EKS, EC2, S3, RDS, Lambda, IAM, CloudWatch, CloudTrail)
• Familiarity with GPU workloads and performance/cost tuning for AI pipelines
• Solid understanding of FinOps principles, cost monitoring, and right-sizing in AWS
• Strong collaboration, mentoring, and communication skills, with the ability to thrive in a fast-paced, evolving environment
• Excellent spoken and written English language skills

A significant advantage would be

• Subject Matter Expert in one of the following: AWS, EKS, or IaC
• Working experience with AI/ML platforms (AWS SageMaker, Kubeflow, MLflow, or equivalent)
• Knowledge of MongoDB operations and performance optimization
• Familiarity with Projen for automating CDK project configuration and management
• Hands-on experience with Helm charts and Kubernetes manifests
• Awareness of regulatory compliance frameworks (SOC 2, ISO 27001, NIST, HIPAA)

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 | Sustainability | Tieto