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Senior Cloud & ML Infrastructure Engineer

Hunastreet Technology Pvt LtdDelhi, IN

13 days ago

Job description

Senior Cloud & ML Infrastructure Engineer

Location : Bangalore / Bengaluru, Hyderabad, Pune, Mumbai, Mohali, Panchkula, Delhi

Experience : 6-10+ Years

Night Shift : 9 pm to 6 am

About the Role :

Were 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 for someone passionate about solving complex platform engineering challenges across AWS, with a focus on model orchestration, deployment automation, and production-grade reliability. Youll architect 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 Step Functions, Lambda, and ECR
Design and implement multi-region, highly-available AWS solutions for real-time inference 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, and compliance 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 engineering teams

Required 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

(ref : hirist.tech)

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Engineer Cloud Infrastructure • Delhi, IN