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)
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.
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.
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.
Contribute to microservices and event-driven architectures.
Build and support backend/frontend components where required.
Ensure system scalability, reliability, and high availability.
Implement monitoring, logging, and observability solutions.
Troubleshoot issues across infrastructure, applications, and ML pipelines.
Ensure adherence to cloud security and governance best practices.
✔ 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
✔ Proficiency in one or more of:
Python
Java
Golang
TypeScript
Experience with test-driven development (TDD)
Familiarity with DevOps tooling ecosystem
Experience in scalable distributed systems
Exposure to monitoring and observability tools
Strong problem-solving and analytical skills
Good communication and collaboration skills
Ability to work independently and take ownership
? 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
