Senior DevOps Engineer

1 week ago

Surat, Gujarat, India Avinyaa Edtech Full time ₹ 20,00,000 - ₹ 25,00,000 per year

About the Role:Were looking for a DevOps Engineer with 4+ years of experience to help us scale,

automate, and secure our cloud infrastructure. Youll work closely with development, QA, and product teams to ensure smooth CI/CD pipelines, reliable deployments, and secure, high-performing cloud environments.

This is a hands-on role where youll be managing deployments on AWS, working with

Docker & Kubernetes, implementing infrastructure as code with Terraform, and ensuring

high observability using tools like Grafana and Prometheus.

If you're passionate about clean automation, scalable infrastructure, and monitoring real-

time systems, youll thrive here.

Key Responsibilities: Build, maintain, and improve CI/CD pipelines using tools like GitHub Actions, Jenkins, or GitLab CI

Deploy, fine-tune, and manage Large Language Models (LLMs) using AWS SageMaker and Amazon Bedrock, ensuring scalability, performance, and security.

Manage containerized applications using Docker and orchestrate them with Kubernetes

Automate cloud infrastructure provisioning using Terraform (Infrastructure as Code)

Set up and maintain AWS services including EC2, RDS, S3, IAM, Lambda, and more

Monitor system health and performance using Grafana, Prometheus, CloudWatch, etc.

Improve system reliability, scalability, and security across staging and production environments

Collaborate with engineering teams to implement best practices for deployments, rollbacks, and failovers

Troubleshoot and resolve incidents related to infrastructure and deployments

Education Requirements: Bachelors degree in Computer Science, IT, or a related technical field

AWS/DevOps certifications are a plus (e.g., AWS Certified DevOps Engineer, CKA, etc.)

What You Bring: 4+ years of hands-on DevOps or infrastructure experience

Mandatory Hands-on experience with deploying and managing LLMs using AWS SageMaker and Amazon Bedrock.

Strong knowledge of AWS cloud architecture and services

Experience working with Docker and Kubernetes in production environments

Proficiency with infrastructure as code tools (Terraform)

Solid understanding of CI/CD pipelines and automation workflows

Experience with monitoring and observability tools like Grafana, Prometheus, and ELK stack

Familiarity with Linux server administration and shell scripting

Strong debugging, incident response, and problem-solving skills

Comfortable working in fast-paced, high-ownership startup environments

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