Staff Software Engineer, Enterprise AI & Automation

Vista Equity Partners Management•Austin, TX
•$140,000 - $260,000

About The Position

Vista Equity Partners is seeking a Staff Software Engineer to join Enterprise AI & Automation, a small, senior team building production AI applications and shared platform services used by Vista employees. This individual-contributor role is at the Associate Director level and reports to the Director, AI Solutions Engineering. The engineer takes loosely defined business problems from discovery through working software and adoption, partnering directly with stakeholders, including senior executives. The team primarily uses TypeScript, Node.js, and React on Azure, with modern AI tooling throughout the development workflow. The position may be fully remote within the United States or based in Vista’s Austin office. The annualized base pay range is $140,000–$260,000. Actual pay may vary based on experience, subject matter expertise, work location, and skills. Base pay is one part of total compensation; other components may include an annual cash bonus and a comprehensive benefits package.

Requirements

  • 10+ years of software engineering experience, or equivalent demonstrated scope.
  • Deep production experience with TypeScript and Node.js, including designing and operating APIs.
  • Track record of owning software in production after launch, including support, defects, and iteration.
  • Cloud-native delivery experience on a major cloud platform, including infrastructure as code, CI/CD, identity, and observability.
  • Hands-on experience building generative AI applications in production, including retrieval-augmented generation (RAG) and evaluating and improving answer quality.
  • Established AI-native engineering practice, using AI coding tools beyond autocomplete to ship production software.
  • Degree in Computer Science or a related field, or equivalent experience.
  • Excellent written and verbal communication, including the judgment to brief senior executives.
  • Product mindset and experience taking a product or feature set from zero to adoption while understanding the business reasons behind the code.
  • Experience working directly with non-technical stakeholders on requirements, tradeoffs, and rollouts.
  • Collaborative mindset and ability to lead by influence and mentor engineers.
  • Comfort with ambiguity, change, and a high degree of autonomy.

Nice To Haves

  • Experience with Azure, the preferred cloud platform.

Responsibilities

  • Design, build, and operate AI applications and platform services end to end, from early discovery through production support.
  • Engage business users to identify problems, write product requirements and design documents, and break work into deliverable pieces.
  • Use modern AI tooling throughout delivery while maintaining a high bar for code review and quality.
  • Lead user testing, rollouts, and go-lives with business owners, managing scope, tradeoffs, status, and adoption.
  • Own shipped software, including releases, defects, and ongoing iteration.
  • Raise the technical bar through code and design review, written technical decisions, and improved team practices.
  • Help set engineering patterns and standards and evaluate technology options.
  • Participate in the on-call rotation for production applications and platform services.
  • Mentor and develop engineers through everyday project work.

Benefits

  • Annual cash bonus may be part of total compensation.
  • Comprehensive benefits package.
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