Job Description

About the Role:

We're looking for a

DevOps Engineer

with

4+ years of experience

to help us scale, automate, and secure our cloud infrastructure. You'll 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 you'll 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, you'll 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:

Bachelor's 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

Why Join Avinyaa EdTech?

Mission-led, purpose-driven culture. A chance to work at the intersection of technology and social impact.
Job Type: Full-time

Pay: ₹400,000.00 - ₹700,000.00 per year

Ability to commute/relocate:

Varachha, Surat, Gujarat: Reliably commute or planning to relocate before starting work (Required)
Application Question(s):

Do you have hand on experience with deploying and managing LLMs using AWS SageMaker and Amazon Bedrock? What is your current ctc? What is your expected ctc? How many days of notice period do you have?
Work Location: In person