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Staff Software Engineer - Core Platform

Intuit

Salary not specified
Sep 3, 2025
Mountain View, CA, USA • San Diego, CA, USA
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Intuit is seeking a Staff Software Engineer to join the Core Platform Engineering Team to develop and ensure the seamless functioning and reliability of the Kubernetes Platform across Intuit, managing and maintaining Intuit Kubernetes Services (IKS) clusters.

Requirements

  • Hands-on experience with Kubernetes
  • Good understanding of container orchestration and cloud technologies
  • Programming experience with any of the following: Go, Python, Object-oriented programming languages
  • Experience with the entire Software Development Life Cycle (SDLC)
  • Good understanding of microservices architecture
  • Strong understanding of the Software design/architecture process
  • Experience with unit testing & Test Driven Development (TDD)

Responsibilities

  • Applies comprehensive understanding of the business, customer needs to expertly design, develop and implement capabilities, tools and processes that deliver highly available, scalable and reliable customer experiences.
  • Utilizes extensive expertise in system engineering, software development, critical thinking, industry best practices, and AI to develop innovative solutions towards building highly available, scalable and reliable platforms.
  • Expertly builds, operates, and scales services running on AWS EKS.
  • Collaborates closely with Intuit Product and Platform Development Teams to plan, prioritize and design highly available cloud architectures.
  • Contributes to critical platform components and drives operational excellence through automation, observability, and process optimization.
  • Troubleshoots complex issues and effectively manages stakeholder expectationsthrough clear communication and proactive updates.
  • Participates in on-call and support rotations, driving incident recovery, resolution and Root Cause Analysis (RCA).

Other

  • BS/MS in computer science or equivalent work experience
  • Solid communication skills: Demonstrated ability to explain complex technical issues toboth technical and non-technical audiences
  • Experience with Agile Development, SCRUM, or Extreme Programming methodologies
  • 7+ years experience developing infrastructure software
  • Strong understanding of generative AI concepts and fundamentals