We are looking for a Senior Cloud & DevOps Engineer with deep expertise in AWS, cloud architecture, and large-scale infrastructure management. In this role, you will lead the design, implementation, and optimization of secure, scalable, and high-performance cloud platforms that power mission-critical AI/ML and GenAI workloads.
Why You? Why Now?

As AI adoption accelerates across industries, building resilient, automated, and cost-effective cloud infrastructure is more critical than ever. This role is ideal for someone who thrives on solving complex cloud challenges, driving DevOps excellence, and enabling engineering teams to deliver at scale with speed, reliability, and confidence.
What You?ll Do (Key Responsibilities)
First 30 Days: Strategic Onboarding
- Gain a deep understanding of goML?s AI/ML and GenAI architecture, pipelines, and infrastructure
- Assess existing cloud environments, DevOps practices, and deployment workflows
- Identify gaps, risks, and opportunities for optimization across infrastructure and processes




- Collaborate with engineering and leadership teams to align on priorities and roadmap
First 60 Days: Leadership & Execution
- Architect, design, and manage scalable AWS infrastructure across ECS, EKS, Lambda, EC2, VPC, S3, and API Gateway
- Lead the implementation and optimization of CI/CD pipelines (Jenkins, GitHub Actions, AWS CodePipeline)
- Establish Infrastructure as Code (IaC) standards using Terraform, AWS CDK, or CloudFormation
- Enable and optimize AI/ML workloads using services like AWS Bedrock and SageMaker
- Drive automation across infrastructure, deployments, and operational workflows
- Implement robust monitoring, alerting, and observability frameworks
First 180 Days: Ownership & Scale
- Own and evolve the DevOps and cloud architecture strategy for enterprise-scale AI deployments
- Drive performance optimization, cost efficiency, and system resilience initiatives
- Establish best practices for Kubernetes and container orchestration

📌 Sr Engineer (India)
🏢 Neuralgo
📍 India