Technical Specialist - DevOps, Python, Kubernetes

• *Job Summary**
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• *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**
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• *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**
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**Mandatory Skills (Must Have)*** 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
• Containerization \& Orchestration
• Docker (mandatory)
• Kubernetes (hands\-on implementation)
• Scripting \& Programming

Strong scripting:* Shell / Bash / Python

• Basic development understanding (Java/.NET preferred)
• Monitoring \& Logging

Tools like: Prometheus / Grafana / ELK / Splunk

Experience in alerting and observability

• Version Control \& Collaboration

Git (branching, merging strategies)

Agile/DevOps collaboration practices

• DevOps Practices

CI/CD, continuous integration, continuous delivery

Shift\-left testing, automation\-first mindset

• *Must Have Skill**
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Python,Kubernetes,Devops

• *Good to Have Skill**
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• *Other Requirements**
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• *Good to Have Skills*** Advanced Cloud \& DevOps
• Multi\-cloud architecture
• Serverless computing (Azure Functions / AWS Lambda)
• Microservices \& APIs
• Exposure to microservices architecture
• API gateways, service mesh
• Performance \& Reliability Engineering
• Site Reliability Engineering (SRE) concepts
• Capacity planning \& performance tuning