Staff Software Engineer – Enterprise AI, Automation

Job not on LinkedIn

🔥 1 minute ago

🤠 Texas – Remote

🤠 Texas – Remote

💵 $140k - $260k / year

⏰ Full Time

🔴 Lead

🧑‍💻 Full-stack Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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• Just posted.
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Vista Equity Partners

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2000

💼 Consulting

💸 Finance

🏢 Enterprise

Consulting • Finance • Enterprise

Vista Equity Partners is a leading investment firm that focuses on software, data, and technology-enabled businesses. The firm employs a long-term investment strategy, aiming to create value through operational improvements and strategic growth. Vista is recognized for its expertise in helping portfolio companies enhance their operations and drive innovation in their respective markets.

📋 Description

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

🎯 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 on a major cloud platform (Azure preferred), 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 well 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, with experience taking a product or feature set from zero to adoption and understanding the business reasons behind the code • Experience working directly with non-technical stakeholders on requirements, tradeoffs, and rollouts • Collaborative mindset with the ability to lead by influence and mentor engineers • Comfortable with ambiguity, change, and a high degree of autonomy

🏖️ Benefits

• Annual cash bonus • Comprehensive benefits package

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