Job Description

Job Summary

JD – Python DevOps Engineer :-

We are seeking a highly skilled Software Engineer with strong expertise in Python development, containerized application deployments/Kubernetes, Cloud technologies, and CI/CD & DevOps practices. The ideal candidate will be responsible for designing, developing, deploying, and operating scalable cloud-native applications while driving automation, reliability, and engineering excellence across the software delivery lifecycle.

Key Responsibilities

Key Responsibilities

• Design, develop, test, and maintain scalable applications and services using Python.
• Build and deploy containerized applications using Docker and orchestrate workloads using Kubernetes.
• Design, implement, and optimize CI/CD pipelines to enable efficient, secure, and automated software delivery.
• Apply DevOps best practices including Infrastructure as Code (IaC), monitoring, logging, and automated testing.
• Collaborate with cross-functional teams including Product, Engineering, Security, and Operations to deliver high-quality solutions.
• Ensure application reliability, scalability, performance, and security across environments.
• Troubleshoot production issues and support continuous improvement initiatives.
• Contribute to architecture decisions, code reviews, technical documentation, and engineering standards.
• Drive automation and operational excellence through scripting, tooling, and platform enhancements.

Skill Requirements

Required Skills & Qualifications

Technical Skills

• Strong hands-on experience with Python development.
• Experience with Docker and containerized deployments.
• Proficiency in Kubernetes for application orchestration and management.
• Experience designing and implementing CI/CD pipelines using tools such as Azure DevOps, GitHub Actions, Jenkins, GitLab CI/CD, or similar.
• Knowledge of DevOps methodologies, release management, and deployment automation.
• Experience with source control systems such as Git.
• Understanding of monitoring and observability tools (e.g., Prometheus, Grafana, Azure Monitor, CloudWatch).

Preferred Skills

• Experience with Infrastructure as Code tools such as Terraform, ARM/Bicep, or CloudFormation.
• Familiarity with microservices architectures and API development.
• Experience implementing security best practices in cloud-native environments.

Knowledge of automated testing frameworks and quality engineering practices.

Other Requirements

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