Senior Member of Technical Staff, Platform

Digitailor; Palo Alto (CA); On-site; USD 200,000 - 300,000; Full time

Job summary

Digitailor is seeking an experienced backend/platform engineer to join the platform team in Palo Alto. You will design, build, and maintain cloud infrastructure, data pipelines, and release workflows for customer-facing agent products and research workflows.

You will bring 5–12 years of backend or platform experience, strong Python/Go skills, Kubernetes, and cloud experience (AWS/Google Cloud). Visa sponsorship is available. On-site in Palo Alto, CA.

Qualifications

• 5–12 years in backend or platform engineering, including senior or staff IC roles.
• Experience building a customer-facing product platform for LLM/agent workloads.
• Strong backend fundamentals: Python or Go, APIs, databases, storage, distributed systems.
• Experience with Kubernetes and AWS or Google Cloud.

Responsibilities

• Design and maintain cloud infrastructure, storage, CI/CD pipelines, observability, and security for research and product environments.
• Build internal developer tools, automation, and shared libraries to improve engineering productivity.
• Develop reliable systems for data management, model experimentation, evaluation, and deployment across research and production.
• Define and improve build, test, and release workflows from prototype through production.
• Monitor service and pipeline performance, diagnose bottlenecks, and improve reproducibility.
• Contribute to platform architecture and infrastructure strategy as systems scale.

Skills

Python/Go backend

APIs

Databases/Storage

Distributed systems

Kubernetes

Cloud platforms (AWS/Google Cloud)

LLM/Agent serving

Data pipelines/ML workflows

Senior IC/leadership

Job description

About The Role

Join the platform team at an AI/ML company to build the backend systems that support customer-facing agent products and research workflows. You will help make agent services reliable, scalable, and secure while collaborating with product and research teams.

What You'Ll Do

Design and maintain cloud infrastructure, storage, CI/CD pipelines, observability, and security for research and product environments. Build internal developer tools, automation, and shared libraries that improve engineering productivity. Develop reliable systems for data management, model experimentation, evaluation, and deployment across research and production. Define and improve build, test, and release workflows from prototype through production. Monitor service and pipeline performance, diagnose bottlenecks, and improve reproducibility. Contribute to platform architecture and infrastructure strategy as systems scale.

What We'Re Looking For

Five to twelve years of backend or platform engineering experience, including senior or staff-level individual-contributor work and daily coding. Experience building a customer-facing product platform from the ground up, ideally for LLM or agent workloads. Strong backend fundamentals in Python or Go, APIs, databases and storage, and distributed systems. Working experience with Kubernetes and a major cloud platform such as AWS or Google Cloud. Production experience with LLM or agent serving, orchestration, memory, tool use, or evaluations. Experience spanning large technology organizations and startups or research environments, with ownership of complete systems. Familiarity with data pipelines, job scheduling, or ML experimentation workflows, and a strong technical or STEM background. Compensation & Benefits Base

Salary

$200,000 to $300,000 annually. Visa sponsorship is available.

Location

On-site in Palo Alto, California, United States.