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)

✔ 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