Member of Technical Staff - Cloud & DevOps

neuralgo· Delivery
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🌍 Remote📍 Coimbatore, TN, IndiaFULL TIME

About this role

Power the Cloud Behind AI with goML

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 Cloud & Devops Engineer with strong AWS expertise and hands-on experience in designing, deploying, and optimizing scalable cloud environments. In this role, you’ll architect and manage secure, cost-efficient, and high-performance cloud infrastructure that powers AI/ML and GenAI solutions at enterprise scale. If you thrive in solving complex cloud challenges and enabling teams with reliable, cloud-native systems, we’d love to hear from you!

Why You? Why Now?

As AI adoption accelerates, cloud infrastructure becomes the foundation that enables enterprises to scale their AI/ML workloads. This role is ideal for someone who loves building cloud-native architectures, optimizing infrastructure, and ensuring cloud environments are production-ready for AI.

What You’ll Do (Key Responsibilities)

First 30 Days: Foundation & Orientation

  • Deep dive into goML’s AI/ML & GenAI workloads and cloud architecture patterns
  • Familiarize yourself with AWS environments, networking, and monitoring frameworks at goML
  • Review existing infrastructure and identify optimization opportunities
  • Shadow AI/ML teams to understand cloud requirements for model training and inference

First 60 Days: Execution & Impact

  • Design, deploy, and manage AWS infrastructure with services like EC2, ECS, EKS, Lambda, VPC, and RDS
  • Implement cloud networking and security best practices (VPCs, IAM, API Gateway, Load Balancers)
  • Automate infrastructure provisioning using Terraform, AWS CDK, or CloudFormation
  • Set up observability and monitoring dashboards with CloudWatch and third-party tools
  • Collaborate with DevOps and AI/ML engineers to ensure seamless cloud integration

First 180 Days: Ownership & Transformation

  • Own cloud architecture for AI/ML and GenAI enterprise deployments
  • Optimize infrastructure for performance, scalability, and cost-efficiency
  • Build disaster recovery, backup, and high-availability strategies
  • Establish best practices for cloud security, governance, and compliance
  • Mentor junior engineers and influence long-term multi-cloud strategies (AWS, Azure, GCP)

What You Bring (Qualifications & Skills)

Must-Have:
  • 3+ years of experience in cloud engineering with strong AWS expertise
  • Hands-on experience with core AWS services (EC2, VPC, S3, RDS, Lambda, ECS, EKS, API Gateway, Load Balancers)
  • Proficiency with IaC tools like Terraform, AWS CDK, or CloudFormation
  • Strong understanding of cloud networking, IAM, and security best practices
  • Experience with monitoring, logging, and observability (CloudWatch, ELK, Grafana, etc.)
  • Scripting experience (Python, Bash, or Shell) for automation
  • Excellent troubleshooting and communication skills
Nice-to-Have:
  • AWS Certified Solutions Architect or AWS Certified SysOps Administrator
  • Exposure to AI/ML infrastructure (SageMaker, Bedrock)
  • Familiarity with Azure and GCP cloud environments

Why Work With Us?

  • Remote-first, with offices in Coimbatore for in-person collaboration
  • Work on cutting-edge AI/ML & GenAI cloud challenges at scale
  • Direct impact on enterprise cloud architecture and AI deployments
  • Competitive salary, leadership growth opportunities, and ESOPs down the line

Frequently Asked Questions

Is the salary disclosed for the Member of Technical Staff - Cloud & DevOps position at neuralgo?
The salary for this Member of Technical Staff - Cloud & DevOps role at neuralgo is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Is the Member of Technical Staff - Cloud & DevOps job at neuralgo remote?
Yes, this Member of Technical Staff - Cloud & DevOps position at neuralgo is remote, with team members based in Coimbatore, TN, India. You can work from home or anywhere in the supported regions.
Is the Member of Technical Staff - Cloud & DevOps role at neuralgo full-time or part-time?
This is listed as a FULL TIME position. It is posted as a Member of Technical Staff - Cloud & DevOps role in the Delivery department at neuralgo.
Which team or department does the Member of Technical Staff - Cloud & DevOps at neuralgo belong to?
This Member of Technical Staff - Cloud & DevOps position is part of the Delivery department at neuralgo. See the full job description for more information about the team structure and responsibilities.
How do I apply for the Member of Technical Staff - Cloud & DevOps position at neuralgo?
Click the "Apply Now" button on this page. You will be redirected to neuralgo's official application portal hosted on keka where you can submit your application directly.
When was the Member of Technical Staff - Cloud & DevOps job at neuralgo posted?
This Member of Technical Staff - Cloud & DevOps position at neuralgo was posted on Sep 17, 2026. Apply as soon as possible — early applications are often reviewed first.
Member of Technical Staff - Cloud & DevOps
neuralgo
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