Requisition ID 146820 - Posted
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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