Devops Engineer Job in Sarvam

DevOps Engineer

Location: Bengaluru, Karnataka, India (On-Site)

Department: Engineering

Employment Type: Full-Time

About Sarvam.ai

Sarvam.ai is a cutting-edge generative AI startup headquartered in Bengaluru, India, with a mission to make generative AI accessible and impactful for Bharat. Founded by AI experts, we are dedicated to developing high-performance, cost-effective AI agents tailored for the Indian market. We enable enterprises to tap into new opportunities, build deeper customer connections, and reshape the future of AI for India and beyond.

Role Overview

We are looking for a DevOps Engineer to join our team and help build and manage scalable, secure, and high-performance infrastructure. In this role, you will be a key contributor to automating deployments, managing cloud infrastructure, optimizing CI/CD workflows, and ensuring system reliability. You will work with cutting-edge technologies, including cloud platforms, containerization, and infrastructure as code (IaC), to deliver impactful solutions for AI-driven products.

Key Responsibilities

• CI/CD Pipelines: Design, implement, and manage CI/CD pipelines for seamless software deployment and integration.
• Cloud Infrastructure: Deploy and manage cloud infrastructure using Terraform, Kubernetes, and Docker for scalability and high performance.
• Automation & Scaling: Automate infrastructure provisioning, scaling, and security compliance to support high-availability environments.
• Monitoring & Optimization: Implement logging, monitoring, and alerting solutions using tools like Prometheus, Grafana, ELK Stack, or CloudWatch to monitor system performance and optimize resource utilization.
• Security & Compliance: Enhance security and compliance by managing IAM policies, encryption, and vulnerability scanning.
• Troubleshooting & Root Cause Analysis: Troubleshoot system failures, perform root cause analysis, and implement improvements to ensure reliability and uptime.
• Collaboration: Work closely with development teams to ensure smooth deployment and operation of AI models and applications.

Must-Have Skills & Qualifications

• Educational Background: Bachelor s degree in Computer Science, Engineering, or related field (2024/2025 graduates).
• Cloud Expertise: Strong experience with AWS, Azure, or GCP for deploying and managing cloud-based applications.
• Containerization: Proficiency in Docker and Kubernetes for building and managing containerized applications.
• Infrastructure as Code (IaC): Experience with Terraform, Ansible, or CloudFormation to automate infrastructure management.
• CI/CD Pipelines: Experience in setting up automated workflows using tools like GitHub Actions, Jenkins, or GitLab CI/CD for smooth deployments.
• Monitoring & Logging: Experience with Prometheus, Grafana, ELK, or similar tools to implement effective monitoring and logging solutions.
• Networking & Security: Strong understanding of firewalls, VPNs, SSL, and cloud security best practices for secure infrastructure.
• Version Control: Proficiency with Git for managing code repositories and version control workflows.
• Problem Solving: Strong debugging, troubleshooting, and analytical skills to resolve complex system issues.

Good to Have (Preferred Experience)

• Serverless Computing: Exposure to serverless computing models such as AWS Lambda or Azure Functions.
• Message Queues: Experience with message queues like Kafka, RabbitMQ, or SQS.
• Site Reliability Engineering (SRE): Familiarity with SRE practices to ensure the reliability and availability of large-scale systems.
• Open Source Contributions: Contributions to open-source projects or a strong GitHub portfolio showcasing DevOps expertise and best practices.

Why Join Sarvam.ai?

• Impactful Work: Work on AI-driven products that are reshaping the future of technology in India.
• Innovative Team: Collaborate with a team of AI experts and engineers pushing the boundaries of technology.
• Career Growth: Opportunity to grow in a fast-growing startup at the forefront of the generative AI revolution.
• Cutting-edge Technologies: Work with cloud technologies, automation, and AI infrastructure to create high-impact products.