DevOps Engineer

Job Title: DevOps Engineer

About the Role:

We are seeking a skilled DevOps Engineer with strong expertise in cloud infrastructure automation, deployment management, and cloud security. The ideal candidate will have hands-on experience in deploying and managing applications across AWS, Azure, and GCP, using Infrastructure as Code (IaC) tools like Terraform, Bicep, and CloudFormation.

You will be responsible for building and maintaining efficient CI/CD pipelines, ensuring secure and stable deployments, and collaborating closely with the development and operations teams to streamline the software delivery lifecycle.

Key Responsibilities:

• Plan, automate, and manage end-to-end deployments from GitHub to cloud environments (AWS, Azure, GCP).
• Design and maintain Infrastructure as Code (IaC) using Terraform, Azure Bicep, and AWS CloudFormation scripts.
• Manage and monitor Kubernetes clusters, ensuring high availability, scalability, and secure configurations.
• Utilize Linux CLI, Bash scripting, and other automation tools to improve deployment efficiency and infrastructure stability.
• Implement DevOps best practices, including version control, configuration management, and automated testing.
• Configure and maintain CI/CD pipelines to automate builds, testing, and deployments using Github Actions.
• Perform deployment debugging and monitoring to ensure system reliability and performance across multi-cloud environments.
• Apply DevOps security measures and ensure compliance with organizational and industry standards.
• Support and assist in Vulnerability Assessment & Penetration Testing (VAPT) and SonarQube-based code quality assessments.

Required Skills & Qualifications:

• Strong understanding of DevOps principles, CI/CD pipelines, and cloud-native architectures.
• Hands-on experience with Terraform, Bicep, and AWS CloudFormation scripting.
• Expertise in Kubernetes — cluster setup, deployment, scaling, and monitoring.
• Proficiency in Bash scripting, Linux administration, and CLI-based troubleshooting.
• Experience deploying, managing, and debugging workloads on AWS, Azure, and Google Cloud Platform.
• Familiarity with DevOps security best practices, including secrets management, access control, and compliance.
• Working knowledge of VAPT methodologies and integrating SonarQube or similar tools for continuous code analysis.
• Strong problem-solving and analytical skills with a proactive approach to issue resolution.

Preferred Qualifications (Good to Have):

• Certifications in AWS/Azure/GCP or Terraform Associate.
• Experience with Docker, Helm for container orchestration and monitoring.
• Experience in orchestration and monitoring and deploying AI based solutions.
• Exposure to GitHub Actions, Jenkins, Prometheus/Grafana or similar CI/CD tools.
• Understanding of networking concepts, load balancers, and cloud security groups/firewalls.

How to Apply:

If you're ready to bring your knowledge from the classroom to the boardroom, please submit your resume, cover letter, and a link to any relevant projects or GitHub account to [Confidential Information]

We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Join us and be part of the future of AI!