AWS DevOps / MLOps EngineerRole DetailsExperience: 7+ YearsLocation: Mumbai – Bandra Kurla Complex (BKC)Work Mode: Hybrid (3 days/week from office)Contract Duration: 12 Months (C2H)Budget: Up to ₹1.70 LPMJoining: Immediate Joiners OnlyInterview Process: In-person interview (mandatory)Role OverviewWe 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 ResponsibilitiesAWS & Cloud EngineeringDesign, 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 & MLOpsImplement and manage CI/CD pipelines for application and ML deployments.Develop and maintain infrastructure as code (IaC) using:AWS CDKTerraformCloudFormationSupport model deployment, monitoring, and lifecycle management.Enable automation across development, testing, and deployment cycles.Architecture & DevelopmentContribute to microservices and event-driven architectures.Build and support backend/frontend components where required.Ensure system scalability, reliability, and high availability.Monitoring & TroubleshootingImplement 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, SQSCognito, CloudWatch, S3, Step FunctionsAWS GlueECS / 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 skillsProgramming Skills✔ Proficiency in one or more of:PythonJavaGolangTypeScriptPreferred SkillsExperience with test-driven development (TDD)Familiarity with DevOps tooling ecosystemExperience in scalable distributed systemsExposure to monitoring and observability toolsSoft SkillsStrong problem-solving and analytical skillsGood communication and collaboration skillsAbility to work independently and take ownershipKey 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