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Gamma Technologies · 3 weeks ago

DevOps and GenAI Backend Developer

Westmont, IL

Full-time

Onsite

Mid Level

$110K/yr - $120K/yr

3+ years exp

Gamma Technologies is a leading multi-physics CAE simulation software provider focused on engineering transformation in various industries. They are seeking a DevOps and GenAI Backend Developer to design, implement, and maintain cloud infrastructure and AI services, ensuring reliability and scalability.

ComputerIndustrial EngineeringInformation TechnologyManufacturingMechanical EngineeringSoftware

No H1B

Security Clearance Required

U.S. Citizen Only

Hiring Manager

Aurelija Cekalinas

Responsibilities

Perform DevOps activities including cloud architecture definition, deployments, CI/CD pipelines enhancement, maintenance and system monitoring for Generative AI applications, and other 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

Qualification

AWS Cloud ArchitectureDevOps backgroundAI ApplicationsAutomated Deployment ToolsDatabase ManagementSecurity PracticesAI AwarenessCost OptimizationVersion Control SystemsCoding KnowledgeAgents FamiliarityCollaboration

Required

U.S. citizenship is required for this position, as the selected candidate will need to obtain and maintain a U.S. Department of Defense security clearance

BS/MS in Computer Science, Engineering, AI, or related field / equivalent professional experience

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

Proven track record of deploying and maintaining Machine Learning (ML) / Large Language Model (LLM) applications in production environment with active users

Minimum of 3 years' experience and proficiency in Python for automating pipelines, integrating AI workflows, and optimizing deployments

Comfortable operating within environments that enforce strict access controls and compliance-driven workflows

Experience working closely with developers to manage staging environments, troubleshoot and debug with them to understand the inner workings of various products

Basic understanding of Generative AI concepts (RAG, agents, data processing, prompt engineering); ability to work with engineers on prompt and pipeline improvements

Proficiency with tools dedicated to automated deployment like CloudFormation Templates / Terraform / Kubernetes yaml files / Ansible

Can manage structured/unstructured data on platforms such as DynamoDB, PostgreSQL, or similar

Experience with Git or Perforce code repositories

Good knowledge of Java, Python and web frontend frameworks (Angular), and understand how to read and analyze stack trace for these