DevOps Engineer

DRC Systems; Gandhinagar; On-site; INR 900,000 - 1,500,000; Full time

Job summary

DRC Systems in Gandhinagar is seeking a DevOps Engineer with 2-4 years of experience to bridge development and operations, automating delivery and maintaining infrastructure and CI/CD pipelines.

You will work with Terraform, Ansible, AWS/Azure/GCP, Docker and Kubernetes, and develop scripts in Bash/Python to enable reliable deployments and scalable systems.

Qualifications

• Proven experience with CI/CD tools (Jenkins, GitLab CI/CD).
• Solid understanding of infrastructure as code (IaC) principles.
• Experience with cloud platforms (AWS, Azure, GCP).
• Experience with configuration management tools (Chef, Puppet, Ansible).
• Strong scripting skills (Bash, Python).
• Experience with containerization technologies (Docker, Kubernetes).
• Excellent communication and collaboration skills.
• Ability to work independently and as part of a team.
• Problem-solving and analytical skills.

Responsibilities

• Design, implement, and maintain CI/CD pipelines to automate software delivery processes.
• Utilize infrastructure as code (IaC) tools like Terraform or Ansible to provision and manage infrastructure.
• Configure and manage cloud platforms (AWS, Azure, GCP).
• Implement and maintain configuration management tools (Chef, Puppet, Ansible).
• Automate infrastructure deployments and configurations.
• Monitor system performance and troubleshoot issues.
• Collaborate with developers and operations teams to ensure smooth deployments.
• Stay up-to-date on the latest DevOps tools and technologies.
• Identify opportunities for process improvement and automation.

Skills

Scripting

Communication

Analytical thinking

Teamwork

Independent work

Education

Bachelor's degree in Computer Science / IT

Tools

Jenkins

GitLab CI/CD

Terraform

Ansible

Chef

Puppet

Docker

Kubernetes

AWS

Azure

GCP

Job description

Experience - 2-4 yrs experience as a DevOps Engineer or a related role
Location : GIFT CITY, Gandhinagar
Qualification : Bachelor's degree in Computer Science, Information Technology
Shift : 10:00 AM to 6:30 PM

Requirements

We are searching for a skilled and experienced DevOps Engineer to join our growing team. In this role, you will play a pivotal role in bridging the gap between development and operations, ensuring a smooth and efficient software delivery lifecycle. You will be responsible for automating processes, building and maintaining infrastructure, and collaborating with developers to deploy code changes seamlessly.

• Proven experience with CI/CD tools (Jenkins, GitLab CI/CD, etc.).
• Solid understanding of infrastructure as code (IaC) principles.
• Experience with cloud platforms (AWS, Azure, GCP).
• Experience with configuration management tools (Chef, Puppet, Ansible).
• Strong scripting skills (Bash, Python, etc.).
• Experience with containerization technologies (Docker, Kubernetes) (must).
• Excellent communication and collaboration skills.
• Ability to work independently and as part of a team.
• Problem-solving and analytical skills.

Responsibilities

• Design, implement, and maintain CI/CD pipelines to automate software delivery processes.
• Utilize infrastructure as code (IaC) tools like Terraform or Ansible to provision and manage infrastructure.
• Configure and manage cloud platforms (AWS, Azure, GCP).
• Implement and maintain configuration management tools (Chef, Puppet, Ansible).
• Automate infrastructure deployments and configurations.
• Monitor system performance and troubleshoot issues.
• Collaborate with developers and operations teams to ensure smooth deployments.
• Stay up-to-date on the latest DevOps tools and technologies.
• Identify opportunities for process improvement and automation.

Preferred Qualifications

• Certifications: Relevant certifications from AWS, Azure, GCP, Kubernetes Administrator, or similar.
• Agile Methodologies: Familiarity with Agile/Scrum methodologies.
• Networking: Understanding of networking concepts and technologies.
• Database Management: Experience with database management and optimization.