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# DevOps Engineer

- **Company:** Gamma
- **Location:** United States
- **Experience:** Experienced
- **Salary:** $110,000.0 - $120,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Cloud Engineering, Databases, Information Leak Prevention, Data Migration, Software Debugging, DevOps, Web Development, Amazon DynamoDB, Python (Programming Language), PostgreSQL, Perforce, Ansible, Systems Integration, Unstructured Data, Web Applications, Software Repository, Load Balancing, Autoscaling, Gitlab, Git, Cloudformation, AngularJS, Kubernetes, Deployment Automation, CrewAI, Machine Learning Operations, Software Version Control, Automation Anywhere
- **Published:** October 7, 2026
- **Apply:** https://www.thejobnetwork.com/job/9dda6d2f-52eb-4d0b-bb4d-49c427450559/devops-engineer

## About the Role

* BS/MS in Computer Science or Engineering is a must, with 2+ years of previous DevOps experience required.
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 * AWS Cloud Architecture: Strong hands-on experience in managing and deploying web applications and cloud architecture on AWS. Ability to create Cloud Architecture for a given web-based product from scratch with focus on auto-scaling, load balancing, data migration and cost optimization.
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 * DevOps background: Minimum of 3 years' experience and proficiency in Python for automating pipelines, integrating AI workflows, and optimizing deployments.
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 * Secure Infrastructure Practices: Comfortable operating within environments that enforce strict access controls and compliance-driven workflows. Contribute to ensure systems remain resilient and protected.
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 * Collaboration: Experience working closely with developers to manage staging environments, troubleshoot and debug with them to understand the inner workings of various products.
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 * Database: Can manage structured/unstructured data on platforms such as DynamoDB, PostgreSQL, or similar
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 * Version Control Systems: Experience with Git or Perforce code repositories. (Preferred tool: GitLab)
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 * Coding/Knowledge of the stack: good knowledge of Java, Python and web frontend frameworks (Angular), and understand how to read and analyze stack trace for these
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 * Cost Optimization: Knowledge of cost optimization strategies for large-scale AI workloads (spot instances, batching, inference caching)