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# DevOps Engineer

- **Company:** Gamma
- **Location:** Hinsdale, IL, United States
- **Experience:** Experienced
- **Salary:** $110,000.0 - $120,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Amazon Elastic Compute Cloud, Software as a Service, Cloud Computing, Cloud Engineering, Databases, Information Leak Prevention, Data Migration, Software Debugging, DevOps, Web Development, Amazon DynamoDB, Monitoring of Systems, Python (Programming Language), PostgreSQL, Perforce, Cloud Services, Ansible, Systems Integration, Unstructured Data, Web Applications, Tisax, Software Repository, Load Balancing, Autoscaling, Generative AI, Gitlab, Git, Cloudformation, AngularJS, Kubernetes, Information Technology, Amazon Bedrock, Deployment Automation, CrewAI, Machine Learning Operations, Model Context Protocol, Terraform, Software Version Control, Automation Anywhere
- **Published:** October 9, 2026
- **Apply:** https://www.disabledperson.com/jobs/75923034-devops-engineer

## About the Role

* BS/MS in Computer Science or Engineering is a must, with 2+ years of previous DevOps experience required.
 * 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.
 * DevOps background: Minimum of 3 years' experience and proficiency in Python for automating pipelines, integrating AI workflows, and optimizing deployments.
 * Secure Infrastructure Practices: Comfortable operating within environments that enforce strict access controls and compliance-driven workflows. Contribute to ensure systems remain resilient and protected.
 * Collaboration: Experience working closely with developers to manage staging environments, troubleshoot and debug with them to understand the inner workings of various products.

Technical Skills and Tools:

 * Automated Deployment Tools: Proficiency with tools dedicated to automated deployment like CloudFormation Templates / Terraform / Kubernetes yaml files / Ansible. (Preferred tool: CloudFormation Templates, Ansible)
 * Database: Can manage structured/unstructured data on platforms such as DynamoDB, PostgreSQL, or similar
 * Version Control Systems: Experience with Git or Perforce code repositories. (Preferred tool: GitLab)
 * 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

Relevant additional AI experience:

 * Agents: Basic Familiarity with frameworks like CrewAI, LangChain, or Model Context Protocol (MCP) for agent orchestration and retrieval optimization
 * Cost Optimization: Knowledge of cost optimization strategies for large-scale AI workloads (spot instances, batching, inference caching)
 * Security: Experience securing AI pipelines and models against adversarial inputs or data leakage

## Description

You'll be at the forefront of blending cloud infrastructure and AI innovation by designing, implementing, and maintaining the backbone that allows our Generative AI services to operate reliably and scale effortlessly. You will also contribute DevOps expertise in areas outside of GenAI, such as our next generation modeling environment GT-Play and on-demand cloud computing services.

 * Perform DevOps activities including cloud architecture definition, deployments, CI/CD pipelines enhancement, maintenance and system monitoring for cloud-based software.
 * Create, maintain, and update architecture as code and pipeline scripts used to deploy products and their cloud architecture.
 * Operate a wide range of cloud services deployed on Amazon Web Services (i.e. Amazon Bedrock, Amazon Cognito, EC2, ECS, SES, ELB)
 * Work on hardening security of cloud-based environment (architecture and software) to match compliance with strong information security standards (like TISAX or ISO 27001)
 * Troubleshoot incidents and coordinate with developers of products involved to provide support and fixes.