Dev Developer

Job Description

Location: Gurgaon

Experience: 8 Years

Shift: Rotational

Notice Period: Immediate – 30 Days

Choosing this role means becoming part of a dynamic engineering team focused on building scalable, cloud-native automation solutions. You will work extensively with Kubernetes, CI/CD pipelines, and cloud platforms to improve system reliability, efficiency, and deployment agility while collaborating with cross-functional teams.

Your Role

As a Dev Developer, you will be responsible for designing, developing, and maintaining robust automation solutions while managing Kubernetes-based environments. You will play a key role in streamlining deployment workflows, optimizing infrastructure performance, and ensuring reliable cloud-native operations.

In This Role, You Will

• Design, develop, and maintain automation frameworks and tools using Python.
• Manage, configure, and troubleshoot Kubernetes clusters to deliver stable and scalable environments.
• Build and maintain end-to-end CI/CD pipelines to automate build, test, and deployment processes.
• Monitor automated systems and Kubernetes infrastructure, proactively optimizing for performance and reliability.
• Work extensively in Linux environments using command-line tools and system utilities.
• Collaborate with development, operations, and infrastructure teams to identify automation gaps and implement effective solutions.
• Apply best practices in cloud computing, automation, and container orchestration to reduce manual effort and improve productivity.

Your Profile

Primary Skills

• Python Development & Automation
• Kubernetes
• CI/CD Tools
• Linux
• Cloud Technologies (AWS / Azure / GCP)

Key Responsibilities

Development

• Design and implement Python-based automation solutions to streamline development, testing, and deployment workflows.

Kubernetes

• Hands-on experience with Kubernetes cluster management, configuration, scaling, and troubleshooting.

CI/CD Integration

• Build, enhance, and maintain CI/CD pipelines to automate software builds, testing, and deployments.

Monitoring & Optimization

• Monitor automated systems and Kubernetes clusters for performance, scalability, and reliability; implement improvements as needed.

Linux

• Demonstrate strong proficiency in Linux environments, command-line operations, scripting, and system-level debugging.

Collaboration

Work closely with development, operations, and infrastructure teams to identify automation opportunities and deliver effective solutions.