Senior Cloud & ML Infrastructure Engineer

Senior Cloud & ML Infrastructure EngineerLocation: Bangalore / Bengaluru, Hyderabad, Pune, Mumbai, Mohali, Panchkula, DelhiExperience: 6–10+ YearsNight Shift - 9 pm to 6 amAbout the Role:We’re looking for a Senior Cloud & ML Infrastructure Engineer to lead the design,scaling, and optimization of cloud-native machine learning infrastructure. This role is ideal forsomeone passionate about solving complex platform engineering challenges across AWS, witha focus on model orchestration, deployment automation, and production-grade reliability. You’llarchitect ML systems at scale, provide guidance on infrastructure best practices, and work cross-functionally to bridge DevOps, ML, and backend teams.Key Responsibilities:● Architect and manage end-to-end ML infrastructure using SageMaker, AWS StepFunctions, Lambda, and ECR● Design and implement multi-region, highly-available AWS solutions for real-timeinference and batch processing● Create and manage IaC blueprints for reproducible infrastructure using AWS CDK● Establish CI/CD practices for ML model packaging, validation, and drift monitoring● Oversee infrastructure security, including IAM policies, encryption at rest/in-transit, andcompliance standards● Monitor and optimize compute/storage cost, ensuring efficient resource usage at scale● Collaborate on data lake and analytics integration● Serve as a technical mentor and guide AWS adoption patterns across engineeringteamsRequired Skills:● 6+ years designing and deploying cloud infrastructure on AWS at scale● Proven experience building and maintaining ML pipelines with services like SageMaker,ECS/EKS, or custom Docker pipelines● Strong knowledge of networking, IAM, VPCs, and security best practices in AWS● Deep experience with automation frameworks, IaC tools, and CI/CD strategies● Advanced scripting proficiency in Python, Go, or Bash● Familiarity with observability stacks (CloudWatch, Prometheus, Grafana)Nice to Have:● Background in robotics infrastructure, including AWS IoT Core, Greengrass, or OTA deployments● Experience designing systems for physical robot fleet telemetry, diagnostics, and control● Familiarity with multi-stage production environments and robotic software rollout processes● Competence in frontend hosting for dashboard or API visualization● Involvement with real-time streaming, MQTT, or edge inference workflows● Hands-on experience with ROS 2 (Robot Operating System) or similar robotics frameworks, including launch file management, sensor data pipelines, and deployment to embedded Linux devices