Responsibilities

• Design and manage CI/CD pipelines using tools such as ArgoCD or FluxCD for delivery, and GitLab CI for automation. 
• Containerize services with Docker and orchestrate them on Kubernetes. 
• Implement service discovery, traffic management, and secure inter-service communication, potentially using a service mesh such as Istio. 
• Deploy, configure, and manage secret-management systems like HashiCorp Vault to ensure secure handling of credentials and sensitive data. 
• Build secure, scalable, and observable environments for staging and production. 
• Set up health monitoring, logging, and alerting, such as Grafana, Prometheus, and Loki. 
• Collaborate with developers and data engineers to streamline deployments and resolve environment issues. 
• Maintain clear documentation for deployment processes and incident response using Confluence, draw.io, Markdown, and similar tools. 

Tech Stack

• Containers: Docker, Kubernetes 
• CI/CD: GitLab CI, ArgoCD; FluxCD is a plus 
• Secrets: HashiCorp Vault 
• Monitoring: Grafana, Prometheus, Loki 

Requirements

• Hands-on experience in a real commercial DevOps, Site Reliability Engineering, or Platform Engineering role. 
• Experience designing, building, and operating infrastructure for microservices-based applications. 
• Production experience with containerization using Docker and orchestration using Kubernetes. 
• Scripting skills in PowerShell, Bash, or Python. 
• Basic understanding of secure credential handling, with hands-on use of secret-management tools. 
• Basic knowledge of networking concepts such as TCP/IP, DNS, HTTP, firewalls, and cloud security best practices. 
• Familiarity with system administration. 
• Collaborative mindset and ability to work effectively in a team. 
• Strong problem-solving and analytical skills. 
• Curiosity and willingness to learn quickly. 
• Good communication and collaboration skills. 
• Languages: fluency in Azerbaijani; English at B2 level or above. 

Nice to Have

• Experience supporting data platforms such as Airflow, Databricks, or IOMETE.
• Relevant Linux system administration or Kubernetes certifications, such as RHCSA or Certified Kubernetes Administrator — CKA.

Working Conditions

• Working schedule: 5 days a week (09:00–18:00)
• Days off: Saturday and Sunday

• Bizi izləyin:
• 
• 
• 
• 
•