Staff Software Engineer, Enterprise AI & Automation

New

Vista Equity PartnersEnterprise AI software

Fully remote within the USFull-TimeStaff

Salary140,000 - 260,000 USD per year

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Job Details

Experience: 10+ years of software engineering experience, or equivalent demonstrated scope.
Required Skills: Node.jsTypeScriptAzureCI/CDRESTful APIsGenerative AI

Have 10+ years of software engineering experience, or equivalent demonstrated scope.
Bring deep production experience with TypeScript and Node.js, including designing and operating APIs.
Have a track record of owning software in production after launch, including support, defects, and iteration.
Have experience with cloud-native delivery on a major cloud platform; Azure is preferred.
Have cloud delivery experience that includes infrastructure as code, CI/CD, identity, and observability.
Have hands-on experience building generative AI applications in production, including retrieval-augmented generation (RAG).
Have experience evaluating and improving generative AI answer quality.
Use AI coding tools beyond autocomplete to ship production software.
Hold a degree in Computer Science or a related field, or have equivalent experience.
Be able to write and speak effectively, including briefing senior executives.
Have a product mindset and experience taking a product or feature set from zero to adoption.
Have experience working directly with non-technical stakeholders on requirements, tradeoffs, and rollouts.
Be able to lead by influence, mentor engineers, and work with autonomy amid ambiguity and change.

Design, build, and operate AI applications and platform services from 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 and maintain 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.

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