Principal Infrastructure Engineer / Tech Lead

About the Role

We are looking for a Principal Infrastructure Engineer and Tech Lead to build and scale the cloud systems behind custom AI model training and inference for enterprise customers. You will lead hands-on infrastructure work, partner with the existing infrastructure engineer, and help the team deliver reliable, secure services.

What You'll Do

• Own and scale AWS infrastructure for model training and inference workloads.

• Design deployment processes, CI/CD pipelines, and infrastructure-as-code to ship models and services reliably.

• Manage GPU allocation and cloud instance sizing, and optimize infrastructure costs.

• Build monitoring, logging, and automated testing systems to improve visibility into service health and failures.

• Develop and manage ETL pipelines, model versioning, and ML lifecycle workflows for varied customer data sources.

• Strengthen security through customer data isolation, infrastructure hardening, and SOC 2 compliance work.

• Mentor and collaborate with the infrastructure team while leading technical projects.

What We're Looking For

• 7 or more years of infrastructure engineering experience, including technical leadership on infrastructure or platform projects.

• Hands-on engineering experience in a current or recent role, with a track record of building infrastructure systems from scratch.

• Experience with AWS, or transferable cloud infrastructure experience with GCP or Azure.

• Proficiency shipping software with Python, and experience building CI/CD pipelines and infrastructure-as-code, such as Terraform.

• Experience working at a startup or early-stage company, with strong computer science fundamentals.

• MLOps or ML workflow experience, GPU workload scaling, and cloud cost optimization are beneficial.

Compensation & Benefits

Salary range: $200,000 to $250,000 annually. Visa sponsorship is available.

Location

On-site in San Francisco, California, United States.