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C3.ai

Builds ready-made AI apps for industry and defense

Senior Software Engineer - Platform

Platform EngineeringConfirmed live in the last 24 hours
Full-timeRedwood City, CA, USAIn-person

About the Job

Requirements

  • A B.S. or M.S. in Computer Science, Engineering, or a related technical discipline.
  • At least 3 years of production engineering experience in backend, platform, DevOps, infrastructure, or distributed systems.
  • Strong hands-on experience with Java and one or more scripting or automation languages such as Python, Shell, or Groovy.
  • Experience designing, maintaining, and improving CI/CD pipelines, build systems, release automation, and testing workflows.
  • Experience with infrastructure as code, preferably Terraform, and cloud environment provisioning or management.
  • Familiarity with Go for infrastructure tooling, automation, or cloud platform development.
  • Experience designing and developing scalable platform services, frameworks, APIs, developer-facing tools, or engineering workflow systems.
  • Hands-on understanding of software development principles, design patterns, testing, debugging, observability, and performance analysis.
  • A systematic problem-solving approach, ownership, independence, and operational accountability.
  • Strong communication and interpersonal skills, with the ability to work across engineering, infrastructure, release, and product teams.

Responsibilities

  • Design, build, and maintain core platform services, frameworks, and developer tools used across an enterprise-scale AI platform.
  • Design and maintain robust automation for testing, integration, and deployment across a distributed development organization.
  • Develop and maintain infrastructure automation to provision, manage, and improve cloud environments reliably and consistently.
  • Build and maintain internal tools and services that improve engineering productivity, developer experience, and operational efficiency.
  • Support engineering workflows, release automation, version control integration, code validation, and platform rule enforcement.
  • Improve the reliability, scalability, maintainability, and operational quality of platform services, frameworks, and automation systems.
  • Partner closely with software engineering and product management teams to gather requirements and deliver high-quality platform capabilities.
  • Own features end-to-end, including design, documentation, implementation, testing, and maintenance, and mentor engineers on engineering standards and best practices.

About the Company

C3.ai

Builds ready-made AI apps for industry and defense

C3.ai builds software that large companies and government agencies use to create and run AI applications, and it sells ready-made AI apps for industries such as manufacturing, energy, and defense. When it listed on the New York Stock Exchange in 2020 under the ticker AI, its shares more than doubled on the first day. Its platform pulls data from business systems and equipment sensors into one shared model, and its apps predict machine failures, plan inventory, and schedule production. Customers pay mainly through subscriptions, and its C3 Code tool builds apps from plain-English requests. Tom Siebel, who earlier founded Siebel Systems and sold it to Oracle, started C3.ai in 2009, and it is based in Redwood City, California.

Company size
501-1,000
Company stage
IPO
Headquarters
Redwood City, CA
Founded
2009

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