Senior DataOps Engineer (ML Infrastructure)

Location: Remote or from one of the company offices; company-supported relocation is available.

Company

hirify.global is hiring for infrastructure supporting Data and ML services.

What you will do

• Support releases and maintain infrastructure stability throughout the service lifecycle.
• Design, build, and maintain AWS infrastructure for Data and ML services.
• Build and maintain CI/CD pipelines for model and infrastructure deployments.
• Manage Kubernetes clusters and develop Helm charts with a focus on scalability, reliability, and resilience.
• Set up monitoring, logging, and observability across infrastructure and ML services.
• Automate operational workflows and improve infrastructure performance, reliability, and cost efficiency.

Requirements

• 5+ years of experience in DevOps or DataOps.
• Hands-on AWS experience, including EC2, S3, and EKS.
• Strong knowledge of Linux or Unix-like systems and experience managing Kubernetes in cloud or on-premise environments.
• Experience developing Helm charts and applying CI/CD and Infrastructure as Code practices.
• Hands-on experience with GitLab CI/CD, Terraform, Terragrunt, and ArgoCD.
• Experience with observability stacks, Data infrastructure, Vault, Nexus, SQL, and Python automation.

Culture & Benefits

• Flexible work options: remote or from a company office.
• Opportunity to influence the architecture and evolution of complex Data and ML infrastructure.
• High technical autonomy and a no-micromanagement culture.
• Support for relocation, sports, English lessons, and therapy sessions.
• Continuous professional development, knowledge sharing, team events, and workshops.