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 fast-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 workplace, 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
Build and optimize CI/CD p
📌 Senior DevOps Engineer (India)
🏢 goML
📍 India