At goML, we design and build cutting-edge Generative AI, AI/ML, and Data Engineering solutions that help businesses unlock the full potential of their data, drive intelligent automation, and create transformative AI-powered experiences. Our mission is to bridge the gap between state-of-the-art AI research and real-world enterprise applications – helping organizations innovate faster, make smarter decisions, and scale AI solutions seamlessly.
We’re looking for a DevOps Engineer with strong
cloud expertise (AWS & Azure)
, hands-on experience in container orchestration, CI/CD automation, and Infrastructure as Code (IaC). In this role, you’ll help design, implement, and optimize secure, scalable, and efficient cloud infrastructure that powers our AI/ML and GenAI workloads. If you thrive in quick-paced engineering environments and love automating infrastructure at scale, we’d love to hear from you
Why You? Why Now?
As enterprises rapidly adopt AI, the need for reliable, secure, and automated infrastructure grows exponentially. This role is perfect for someone who loves solving cloud challenges,
building robust DevOps pipelines, and enabling engineering teams to ship high-quality products—fast and confidently.
What You’ll Do (Key Responsibilities)
First 30 Days: Foundation & Orientation
- Deep dive into goML’s AI/ML & GenAI pipelines and DevOps architecture
- Familiarize yourself with our
AWS & Azure environments
, CI/CD workflows, and containerized infrastructure
- Review current deployment processes and identify improvement opportunities
- Shadow engineering teams to understand environment, release, and automation needs
First 60 Days: Execution & Impact
- Design, deploy, and manage cloud infrastructure using:
- AWS:
ECS, EKS, Lambda, EC2, VPC, S3, API Gateway
- Azure:
AKS, Virtual Machines, Azure Functions, Virtual Network, Blob Storage, API Management
- Support ML/AI workloads using:
- AWS:
Bedrock, SageMaker
- Azure:
Azure Machine Learning, Azure OpenAI Service
-
📌 Senior DevOps Engineer (India)
🏢 goML
📍 India