Technical Specialist - DevOps, Python, Kubernetes

Job Summary

Role Summary

Experienced DevOps Engineer responsible for designing, implementing, and managing CI/CD pipelines, cloud infrastructure, and automation frameworks to enable reliable and scalable application delivery. Works closely with development, QA, and operations teams to drive continuous integration, deployment, and system reliability.

Key Responsibilities

Key Responsibilities

• Design and implement end-to-end CI/CD pipelines
• Automate build, test, and deployment processes
• Manage and optimize cloud infrastructure (Azure/AWS)
• Implement Infrastructure as Code (IaC) and configuration management
• Ensure system reliability, monitoring, and logging
• Drive DevOps best practices (automation, shift-left testing, continuous improvement)
• Collaborate with cross-functional teams for release planning and deployment
• Implement security, compliance, and quality checks in pipelines
• Troubleshoot production issues and enable high availability
• Optimize deployment frequency, lead time, and failure rates

 

Skill Requirements

Mandatory Skills (Must Have)

1. CI/CD & Automation:

Strong hands-on experience with CI/CD tools:

• Jenkins / GitHub Actions
• Pipeline design, build automation, and release management
• Experience with automated testing integration

1. Containerization & Orchestration

• Docker (mandatory)
• Kubernetes (hands-on implementation)

1. Scripting & Programming

Strong scripting:

• Shell / Bash / Python
• Basic development understanding (Java/.NET preferred)

1. Monitoring & Logging

Tools like: Prometheus / Grafana / ELK / Splunk

Experience in alerting and observability

1. Version Control & Collaboration

Git (branching, merging strategies)

Agile/DevOps collaboration practices

1. DevOps Practices

CI/CD, continuous integration, continuous delivery

Shift-left testing, automation-first mindset

Other Requirements

Good to Have Skills

1. Advanced Cloud & DevOps

• Multi-cloud architecture
• Serverless computing (Azure Functions / AWS Lambda)

1. Microservices & APIs

• Exposure to microservices architecture
• API gateways, service mesh

1. Performance & Reliability Engineering

• Site Reliability Engineering (SRE) concepts
• Capacity planning & performance tuning