Technical Specialist - DevOps, Python, Kubernetes

DevOps Engineer Role Summary Design, implement, and operate CI/CD pipelines, cloud infrastructure, and automation solutions that ensure secure, reliable, and scalable software delivery. Responsibilities (10) Build and maintain CI/CD pipelines across multiple environments. Implement infrastructure as code (IaC) using Terraform, ARM, or CloudFormation. Manage cloud resources (Azure/AWS/GCP) with best practices. Build observability stack: logs, metrics, dashboards, alerts. Configure container platforms (Docker, Kubernetes). Automate deployments, scaling, and failover mechanisms. Manage secrets, configurations, and environment variables securely. Implement zero-downtime deployment, blue-green/canary releases. Troubleshoot production issues and optimize performance/cost. Collaborate with developers to improve deployability and reliability. Requirements (Updated & Relevant) Strong expertise in CI/CD tools (Azure DevOps, GitHub Actions, Jenkins, GitLab). Knowledge of containers & orchestration (Docker, Kubernetes). Proficiency with cloud platforms (Azure/AWS/GCP). Experience with IaC tools (Terraform, Bicep, Helm). Solid understanding of monitoring tools (Prometheus, Grafana, ELK, OpenTelemetry).

Experience

4–8+ years in DevOps/SRE/Cloud engineering.

Key Responsibilities

1. Design, implement, and maintain devops pipelines to automate software delivery processes.
2. Collaborate with development teams to integrate devops tools and practices effectively.
3. Monitor and optimize kubernetes clusters for improved efficiency and performance.
4. Develop and maintain python scripts and tools to enhance system automation.
5. Troubleshoot and resolve issues related to devops, python, and kubernetes implementations.
6. Conduct regular testing and performance tuning to ensure optimal system functionality.
7. Provide technical guidance and support to team members on devops best practices.
8. Stay updated on industry trends and technologies related to devops, python, and kubernetes.

Skill Requirements

1. Proficiency in devops practices and tools such as jenkins, docker, ansible, and git.
2. Strong experience in python programming and scripting for automation and system management.
3. In-depth knowledge of kubernetes infrastructure for container orchestration.