Xcelore - DevOps Engineer

We are looking for a skilled and proactive DevOps Engineer with 4+ years of experience to join our growing technology team. The ideal candidate will be responsible for automating, optimizing, and maintaining our development and deployment infrastructure while ensuring high availability, scalability, and security of applications.

Key Responsibilities

• Design, implement, and maintain CI/CD pipelines for automated deployments.
• Manage and monitor cloud infrastructure (AWS/Azure/GCP).
• Automate infrastructure provisioning using Infrastructure as Code (IaC) tools.
• Collaborate with development teams to streamline release processes.
• Monitor system performance, troubleshoot issues, and optimize infrastructure.
• Implement and maintain containerization and orchestration solutions.
• Ensure infrastructure security, compliance, and best practices.
• Manage source code repositories and version control systems.
• Support production deployments and incident resolution.

• Hands-on experience with Linux/Unix Administration.
• Strong knowledge of CI/CD tools such as Jenkins, GitHub Actions, GitLab CI/CD, or Azure DevOps.
• Experience with Docker and containerization technologies.
• Knowledge of Kubernetes or container orchestration platforms.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Familiarity with Infrastructure as Code tools like Terraform or CloudFormation.
• Strong understanding of Git and version control practices.
• Experience with monitoring tools such as Prometheus, Grafana, ELK Stack, or CloudWatch.
• Basic scripting knowledge in Bash, Python, or Shell Scripting.

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Relevant cloud certifications (AWS, Azure, Kubernetes) will be an added advantage.
• Understanding of networking, security, and system architecture concepts.

• Opportunity to work on modern cloud-native technologies.
• Collaborative and learning-focused work environment.
• Career growth and upskilling opportunities.
• Exposure to large-scale deployment and automation projects.