Backend AI Infrastructure Engineer

Founded in 2013, Pendo helps product managers understand and improve product success, with a mission to enhance society's software experience.
$155,000 - $165,000
Backend
Senior Software Engineer
Contact Company
5+ years of experience
AI · Enterprise SaaS

Description For Backend AI Infrastructure Engineer

Pendo, a fast-growing startup founded in 2013, is seeking a Senior Backend Engineer to join their AI team. This role is crucial in preparing Pendo for the AI era by building production-grade infrastructure that enables teams to deliver high-quality AI-powered products.

The position focuses on bridging cutting-edge AI systems with Pendo's backend infrastructure, requiring expertise in backend development, cloud platforms, and system architecture. You'll be working at the intersection of innovation and practicality, ensuring that advanced AI ideas become reliable, scalable solutions.

As a Backend AI Infrastructure Engineer, you'll be responsible for designing and implementing scalable APIs and services that make AI features accessible across the platform. The role requires strong technical skills in languages like Go and Java, experience with cloud platforms and containerization, and the ability to communicate effectively with engineering teams.

Pendo offers competitive compensation ($155,000 - $165,000) and the opportunity to work with diverse technologies and clients while having a real impact on the company's future. The company is backed by prestigious institutions like Battery Ventures and Salesforce Ventures, and maintains a passionate, dynamic, and fun culture.

The ideal candidate will have 5+ years of backend development experience, strong system architecture knowledge, and preferably experience with AI/ML systems integration. This is an excellent opportunity for someone who wants to contribute to improving society's experience with software while working with cutting-edge AI technologies in a collaborative environment.

Last updated 4 months ago

Responsibilities For Backend AI Infrastructure Engineer

  • Design and architect the integration of Pendo's AI infrastructure with backend systems
  • Develop scalable, production-grade APIs and services for AI features
  • Act as a technical liaison for communicating architectural decisions and integration strategies

Requirements For Backend AI Infrastructure Engineer

Go
Java
Kubernetes
  • Bachelor's degree in Computer Science, Software Engineering, or related field
  • 5+ years of experience in backend development with expertise in GO, Java, or similar languages
  • Experience with cloud platforms (GCP, AWS, Azure) and containerization
  • Experience designing and implementing production-grade APIs for AI applications
  • Strong understanding of system architecture and distributed systems
  • Proactive mindset with focus on quality and collaboration

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