Job Descriptions

DevOps Engineer

PRAG/JD/DevOps/24-25/0509

Job Summary

Company: Pragathi Solutions (Automotive Diagnostic and Telematics Company)
Location: Bangalore
Experience: 3 + Yrs.
Designation: DevOps Engineer
Position Type: Full Time
Qualification: BE / B. Tech / ME / M.Tech / MCA / MS / BSC / MSC.

About us

Pragathi Solutions, a leading Automotive Diagnostic and Telematics Company, is seeking a talented DevOps Engineer to join our dynamic team. The ideal candidate will possess a deep understanding of infrastructure automation, cloud technologies, and containerization, along with expertise in managing and optimizing cloud environments across multiple platforms. This role offers the opportunity to contribute to critical decisionmaking processes regarding architecture, deployment strategies, and tooling selection.

Job description

Responsibilities:
• Design, implement, and maintain cloud infrastructure using Infrastructure as Code (IaC) tools such as Terraform and Ansible.
• Architect, deploy, and manage virtual machines (VMs) across various cloud providers (Azure, AWS, GCP) to support development, testing, and production environments.
• Collaborate with cross-functional teams to optimize application performance, scalability, and reliability through effective load balancing, clustering, and container orchestration techniques.
• Manage Docker and Podman containers, ensuring seamless deployment and operation in both development and production environments.
• Implement Continuous Integration/Continuous Deployment (CI/CD) pipelines using Jenkins or similar tools to automate build, test, and deployment processes.
• Maintain and enhance database systems, including upgrades, patching, and performance tuning, to support the needs of the organization.
• Utilize Telepresence for local development and debugging of microservices-based applications.
• Monitor and troubleshoot infrastructure issues, providing timely resolution and proactive recommendations for improvement.

• Ensure security best practices are implemented throughout the infrastructure, including network security, access controls, and data encryption.
• Collaborate with software engineers to streamline application deployment processes and optimize resource utilization.
• Stay current with emerging technologies and industry trends, evaluating and integrating new tools and methodologies to enhance operational efficiency.

Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or related field.
• Minimum 3 years of experience in a DevOps or Systems Engineering role, preferably in a cloud-based environment.
• Proficiency in managing virtualized infrastructure, including VM provisioning, configuration, and optimization.
• Strong understanding of cloud computing platforms (Azure, AWS, GCP) and their respective services (VMs, Storage Buckets, CDNs, Load Balancers).
• Hands-on experience with containerization technologies such as Docker and container orchestration tools like Kubernetes.
• Familiarity with Telepresence for local development and debugging of microservices.
• Solid understanding of Continuous Integration/Continuous Deployment (CI/CD) practices and tools such as Jenkins.
• Experience with Infrastructure as Code (IaC) tools such as Terraform and Ansible for automating infrastructure provisioning and management.
• Proficiency in scripting languages such as Python, Bash, or PowerShell for automation tasks. Strong problem-solving skills and the ability to troubleshoot complex technical issues.
• Excellent communication and collaboration skills, with the ability to work effectively in a fast-paced, dynamic environment.

Preferred Qualifications:

• Certification in cloud platforms such as AWS Certified DevOps Engineer, Azure DevOps Engineer Expert, or Google Professional Cloud DevOps Engineer.
• Experience working in the automotive industry or with telematics solutions.
• Knowledge of database administration, including SQL and NoSQL databases.
• Familiarity with monitoring and logging tools such as Prometheus, Grafana, ELK stack. Exposure to serverless computing platforms such as AWS Lambda or Azure Functions.