Python Senior Technical Lead - DevOps

Gurugram, Haryana

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.

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