Senior DevOps Automation Engineer
Nerdy, Inc. (company site, opens in a new tab)5+ yrsBengaluruRemoteDirect career pageEst. 22–38 LPA
Posted 1d ago
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Reach people at Nerdy, Inc.
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Nerdy, Inc. you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Own and manage AWS cloud infrastructure and associated services, ensuring security, scalability, and reliability to meet SLAs.
- Automate operational workflows end-to-end including provisioning, deployments, rollbacks, scaling, and maintenance across AWS, Netlify, and Supabase environments.
- Partner cross-functionally with development, legal, financial, and operations teams to deliver self-service platforms, improve CI/CD processes, and maintain tooling for developer productivity.
Minimum Requirements
- Minimum 5 years industry experience in DevOps, platform engineering, or automation roles enabling developers.
- Strong expertise with AWS infrastructure components (EC2, ELB, ALB, VPC, IAM, Route53, Lambda, Kinesis, CloudWatch, etc.).
- Experience with Terraform for infrastructure deployment and hands-on knowledge of Netlify and Supabase.
- Work Experience Required: Minimum 5+ years; Notice Period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in securing cloud infrastructure with a focus on vulnerability prevention, detection, and remediation.
- Proficient in automation of CI/CD pipelines and operational tooling using pipeline tools like GitHub Actions, with AI-assisted productivity tools integrated in workflows.
- Demonstrated ability to develop robust Python applications with interfaces, testing, validation, and collaborate cross-functionally to build scalable platform services.