GoML

Senior Engineer - Cloud & Devops

Location unstated

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hirly's read of this role

Role family: Engineering
Seniority: Senior
Country: IN
Work mode: On-site / unstated
First seen by hirly: 23 Sept 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

At goML, we design and build cutting-edge Generative AI, AI/ML, and Data Engineering solutions that empower businesses to unlock the full potential of their data, drive intelligent automation, and deliver transformative AI-powered experiences. Our mission is to bridge the gap between advanced AI research and real-world enterprise applications—helping organizations innovate faster, make smarter decisions, and scale seamlessly.

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-efficient 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 at scale
Strengthen cloud security, governance, and compliance frameworks
Mentor junior engineers and elevate DevOps maturity across teams
Lead incident management, root cause analysis, and long-term reliability improvements

What You Bring (Qualifications & Skills)

Must-Have

8+ years of experience in Cloud/DevOps engineering roles
Strong expertise in AWS cloud architecture and services (ECS, EKS, Lambda, EC2, VPC, API Gateway, S3, CloudWatch, Load Balancers)
Proven experience designing and managing large-scale, production-grade cloud systems
Deep hands-on experience with Infrastructure as Code (Terraform, AWS CDK, or CloudFormation)
Strong proficiency in Docker and Kubernetes (designing and managing clusters at scale)
Expertise in building and optimizing CI/CD pipelines
Strong scripting/programming skills (Python, Bash)
Solid understanding of cloud security, networking, observability, and reliability engineering
Excellent problem-solving, stakeholder communication, and leadership skills

Nice-to-Have

AWS Certified DevOps Engineer / Solutions Architect (Professional preferred)
Experience with AI/ML infrastructure (AWS Bedrock, SageMaker)
Certified Kubernetes Administrator (CKA)
Experience with FinOps (cost optimization strategies)
Exposure to multi-cloud or hybrid cloud environments

Why Work With Us?

Remote-first culture with collaboration opportunities in Coimbatore
Work on cutting-edge AI/ML & GenAI infrastructure challenges
High ownership and impact in building enterprise-grade systems
Competitive compensation, growth opportunities, and ESOPs

Original posting on GoML's site ↗

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