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 strong 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)

✔ Solid 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