AWS DevOps / MLOps Engineer

Role Details

- Experience: 7+ Years

- Location: Mumbai – Bandra Kurla Complex (BKC)

- Work Mode: Hybrid (3 days/week from office)

- Contract Duration: 12 Months (C2H)

- Budget: Up to ₹1.70 LPM

- Joining: Immediate Joiners Only

- Interview Process: In-person interview (mandatory)

Role Overview

We are seeking a skilled AWS DevOps / MLOps Engineer with solid experience in cloud-native development, serverless architectures, and DevOps practices, along with exposure to AI/ML workloads on AWS.

The ideal candidate should have hands-on expertise in building, deploying, and managing scalable applications and ML workflows, with a strong focus on automation, reliability, and performance.

Key Responsibilities

AWS & Cloud Engineering

- Design, build, and maintain cloud-native applications using AWS serverless services.

- Work extensively with Lambda, API Gateway, DynamoDB, SQS, Cognito, CloudWatch, S3, and Step Functions.

- Manage and support AI/ML workloads and pipelines on AWS.

DevOps & MLOps

- Implement and manage CI/CD pipelines for application and ML deployments.

- Develop and maintain infrastructure as code (IaC) using:
- AWS CDK

- Terraform

- CloudFormation

- Support model deployment, monitoring, and lifecycle management.

- Enable automation across development, testing, and deployment cycles.

Architecture & Development

- Contribute to microservices and event-driven architectures.

- Build and support backend/frontend components where required.

- Ensure system scalability, reliability,



and high availability.

Monitoring & Troubleshooting

- Implement monitoring, logging, and observability solutions.

- Troubleshoot issues across infrastructure, applications, and ML pipelines.

- Ensure adherence to cloud security and governance best practices.

Mandatory Skills

✔ Strong hands-on experience with AWS services, including:

- Lambda, API Gateway, DynamoDB, SQS

- Cognito, CloudWatch, S3, Step Functions

- AWS Glue

- ECS / EKS

✔ Strong experience in DevOps practices and CI/CD pipelines ✔ Experience with MLOps / AI-ML workloads on AWS ✔ Expertise in Infrastructure as Code (CDK / Terraform / CloudFormation)

✔ Strong understanding of microservices and event-driven architecture ✔ Strong troubleshooting and debugging skills

Programming Skills

✔ Proficiency in one or more of:

- Python

- Java

- Golang

- TypeScript

Preferred Skills

- Experience with test-driven development (TDD)

- Familiarity with DevOps tooling ecosystem

- Experience in scalable distributed systems

- Exposure to monitoring and observability tools

Soft Skills

- Strong problem-solving and analytical skills

- Good communication and collaboration skills

- Ability to work independently and take ownership

Key Expectations

? Strong AWS + DevOps + MLOps experience is mandatory

? Hands-on exposure to AI/ML workloads on AWS is required

? Candidate must be available for in-person interview in Mumbai (BKC)

? Immediate joiners Only

📌 Dev Ops/MLOps Engineer (Mumbai)
🏢 Talpro INdia
📍 Mumbai