DataOps Engineer (AWS/Kubernetes)

Location: Fully remote or from company offices; relocation support is available.

Company

hirify.global develops and operates complex cloud and Data/ML infrastructure.

What you will do

• Own release operations and maintain infrastructure stability, reliability, and high availability.
• Design, build, and maintain AWS infrastructure for Data/ML services.
• Build and maintain CI/CD pipelines for automated model and infrastructure deployments.
• Manage Kubernetes clusters and Helm-based deployments across cloud or on-premise environments.
• Implement monitoring, logging, and observability using tools such as Prometheus, Grafana, Loki, ELK, and VictoriaMetrics.
• Automate operational workflows and improve infrastructure performance, resilience, efficiency, and cost management.

Requirements

• 5+ years of DevOps or DataOps experience.
• Hands-on AWS experience, including EC2, S3, EKS, and related services.
• Strong knowledge of Linux and Unix-like systems, including low-level performance tuning and troubleshooting.
• Experience managing Kubernetes clusters and building Helm charts.
• Experience with GitLab CI/CD, Terraform, Terragrunt, ArgoCD, Vault, Nexus, SQL, and Python.
• Experience with Data infrastructure tools such as Airflow, Kafka, ClickHouse, Snowflake, and JupyterHub, plus traffic management, ingress, load balancing, and TLS termination.

Nice to have

• Knowledge of MLOps and experience automating ML development, testing, and deployment pipelines.
• Automation experience with Python or Go.
• Cybersecurity or AppSec experience with Wazuh, auditd, or Falco.
• Experience with Karpenter, Kubecost, Infracost, AWS tagging, Traefik, Istio, Nginx, and SSL/TLS certificates.

Culture & Benefits

• Flexible work format with fully remote work or access to company offices.
• Flexible start time between 9:00 and 11:00.
• Work with complex cloud and Data infrastructure alongside an experienced technical team.
• Reimbursement for sports, English courses, and mental health support.
• Corporate library, learning opportunities, knowledge sharing, and professional growth.