Senior Platform Engineer - AI/ML Backend & Scale

Digitailor

Palo Alto (CA)

On-site

USD 200,000 - 300,000

Full time

7 days ago
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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

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.

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