Senior Backend & Infrastructure Engineer (Enterprise AI)

Ryzen Solutions

Palo Alto, CA

Apply

JOB DETAILS

SALARY

$69.93–$81.92 Per Hour

SKILLS

Amazon Web Services (AWS), Application Programming Interface (API), Artificial Intelligence (AI), Best Practices, Cloud Computing, Continuous Deployment/Delivery, Continuous Integration, GCP (Good Clinical Practices), Network Administration/Management, Programming Tools, Project Design, Python Programming/Scripting Language, Quality Management, Scripting (Scripting Languages)

LOCATION

Palo Alto, CA

POSTED

9 days ago

Senior Backend & Infrastructure Engineer (Enterprise AI)

Location: Palo Alto, CA
Pay Rate: $69.93/hour – $81.92/hour
Contract Length: Through January 31, 2027

The Role
Ryzen Solutions’ client is looking for a senior engineer to help build the infrastructure behind their internal AI tools. This team evaluates AI technology and creates the platforms that allow the rest of the company to adopt it quickly. You will own the core backend systems, from Kubernetes clusters to developer tooling and APIs.

What You’ll Do
Build and manage distributed services and infrastructure on AWS or GCP.
Handle Kubernetes at a deep level—managing clusters, networking, and container lifecycles.
Lead platform projects from initial design through deployment.
Keep code quality high through reviews and CI/CD best practices.
Work with AI and security teams to make sure the architecture meets business needs.
Help other engineers work through tough technical trade-offs.

What You Need
Experience: At least 6 years focused on backend and infrastructure.
Coding: Strong skills in Python or Go. You should be used to shipping production code, not just basic scripts.
Kubernetes: Real-world experience building and operating clusters, not just using them.
Cloud & Infrastructure: Proficiency with AWS/GCP and Infrastructure-as-Code (Terraform).
AI Integration: Familiarity with AI tools like Claude or LiteLLM and building backend services that connect to them.

Nice to Have
Experience with observability tools like Prometheus, Grafana, or Datadog.
Knowledge of API gateways or service mesh.
A history of making engineering teams more efficient at scale.

About the Company

Ryzen Solutions

Resume Resources

Free Resume Templates Free Resume Builder