Senior AI DevOps Engineer – GenAI & CloudOps Hybrid Austin

Cogniify, Inc.; Austin (TX); Hybrid; USD 114,000 - 124,000; Full time

Benefits offered by this job

Unlimited PTO

Parental leave

Stock Purchase Program (ESPP)

Medical, Dental and Vision coverage

Team building experiences

Mentorship and sponsorship

Job summary

Cogniify, Inc. is seeking a hands-on Senior AI DevOps Engineer to design, secure, and deploy agentic AI applications within an enterprise financial services context.

You will work at the intersection of modern software engineering, generative AI, and cloud platform operations. You will build resilient backend services using .NET/C# (or Java), orchestrate multi-step LLM workflows including Claude API, and own end-to-end AWS infrastructure with EKS, Terraform, and CI/CD.

Qualifications

• 6 years of hands-on experience building, scaling, and automating production environments on AWS.
• Experience with Kubernetes (EKS), Terraform, and GitHub Actions CI/CD.
• Strong .NET / C# (or Java) backend engineering skills.
• Experience deploying Generative AI systems in production with LLM APIs and RAG pipelines.
• Proficiency in Python and shell scripting for workflow orchestration.
• Focus on security, cost tracking and observability in production systems.

Responsibilities

• Design and implement production-ready GenAI applications, RAG pipelines, and agentic workflows.
• Write clean, resilient microservices in .NET / C# (or Java) with Python for model integration.
• Build automated GitOps CI/CD pipelines via GitHub Actions and manage containerized workloads on Amazon EKS.
• Architect and maintain repeatable cloud environments on AWS using Terraform.
• Implement real-time monitoring, cost tracking, token optimization, and security controls across all deployed pipelines and models.

Skills

AWS

Kubernetes (EKS)

Terraform

GitHub Actions

.NET/C#

Java

Python

GenAI / LLM

RAG pipelines

Tool-calling

Security & Observability

CI/CD

Tools

Claude API

OpenAI

AWS Bedrock

Job description

Cogniify, Inc. is seeking a hands-on Senior AI DevOps Engineer to design, secure, and deploy agentic AI applications within an enterprise financial services context.

You will work at the intersection of modern software engineering, generative AI, and cloud platform operations. You will build resilient backend services using .NET/C# (or Java), orchestrate multi-step LLM workflows including Claude API, and own end-to-end AWS infrastructure with EKS, Terraform, and CI/CD.