Senior DevOps / SRE Engineer (MLOps platform)

Our project focuses on building and operating a scalable MLOps platform based on Kubeflow and KServe, enabling end-to-end machine learning workflows — from experimentation to production inference.  

The platform is deployed on Kubernetes and integrates modern DevOps/SRE practices, including automation, observability, and reliability engineering. We are actively evolving the system towards cloud-native architectures with a strong focus on performance, scalability, and cost efficiency. 

This is a great opportunity to work on production-grade ML infrastructure, influence platform design, and build reliable solutions for real business needs. 

Responsibilities 

• Building software services for Data Scientists, Data Engineering an Developer teams.  
• Patching up support escalation cases.  
• Making on-call rotations and processes the best they can be.  
• Documenting share-ready knowledge.  
• Conducting post-incident reviews that help.  
• Delivering solutions that leverage the best automation tools on offer.  
• Maintainability mission-critical ML services 
• Participation in bootstrap new ML teams/projects 
   

Requirements 

• Experience with GitLab; 
• Experience with Continuous Integration; 
• Experience in AWS; 
• Experience with Azure AD (authentication understanding); 
• Experience with terraform; 
• Experience with ML workflows (will be a plus) 
• Experience with maintaining and/or developing AI agents (will be a plus) 
• Eager to take responsibility, accountability and ownership of systems and processes; 
• Experience using Atlassian products: Jira, Confluence 
• Experience using Service Management(OpsGenie) or PagerDuty 
• 3+ years of industry experience; 
• Expert in using REST and SOAP API’s; 
• Knowledgeable of securing data; understands PGP, SSH, OAuth, SFTP, HTTPS, SFTP; 
• Basic FinOps experience(will be a plus) 
• Knowledgeable of OWASP Top 10 

Technologies that we use 

• AWS Cloud  
• ECS, EKS, Kubernetes, Prometheus, Grafana, Kubeflow, ArgoCD, Kyverno 
• GitLab 
• Terraform 
• Kustomize/Helm 
   

We offer 

• The opportunity to work on a big and scalable MLOps Platform. 
• Very skilled teammates and positive atmosphere  
• We are not tied to the office, willing to work remotely. 
• Health insurance. 
• Compensation of sports clubs and foreign language schools. 
• Internal training (IT and not only);