Senior Staff Software Engineer, Developer Productivity

Intuit; Beachwood (OH); On-site; USD 180,000 - 230,000; Full time

Job summary

Intuit is seeking a Senior Staff Software Engineer to own the technical strategy and architecture of the GenAI CodeGen ecosystem. You will shape multi-quarter roadmaps, drive AI tooling adoption, and build analytics/cost-governance at enterprise scale.

This role blends hands-on coding with architecture leadership, mentoring, and executive-level communication. You will design scalable solutions across coding assistants, PR review agents, and agentic workflows, while partnering with product, TPMs,

Qualifications

• 10+ years of experience designing and developing web, software, or backend systems at enterprise scale.
• Strong leadership experience and ability to present to senior leadership.
• BS/MS in Computer Science or equivalent practical experience.
• Deep experience with AI/LLM frameworks, agentic workflows, and model integration (e.g., LangChain, LangGraph, OpenAI APIs).
• Strong programming fluency across Python, JavaScript/TypeScript, and at least one OOD language (Java, C#, Go).
• Expertise across the full SDLC with unit testing and TDD practices.
• Experience with CI/CD (Jenkins, GitHub Actions) and version control at scale.
• Hands-on experience with GitHub Enterprise Server and Artifactory — admin, scaling, security.
• Experience with cloud infrastructure (AWS/Azure/GCP) and container orchestration (Docker, Kubernetes).
• Strong Linux/Unix scripting and security practices; able to communicate tradeoffs to executives.
• Business acumen and experience building the case for AI tooling investment.

Responsibilities

• Architect and evolve the platform layer for AI developer tooling with global scale.
• Design Admin Portal, cost-tracking systems, and analytics pipelines to measure ROI.
• Integrate agentic workflows into backend services and enable automated code analysis and generation.
• Lead prompt engineering, model integration, and deployment best practices across vendors.
• Code ~40–60% and serve as the technical go-to for the hardest problems.
• Mentor engineers and lead small teams through complex design problems.

Skills

AI/LLM frameworks

Agentic workflows

Python

JavaScript/TypeScript

Java/C#/Go

CI/CD

GitHub Actions

Cloud infrastructure

Kubernetes

Security best practices

Education

BS/MS in Computer Science or equivalent

Tools

GitHub Enterprise Server

Artifactory

Jenkins

Job description

Overview

Join the Developer Productivity organization as a Senior Staff Software Engineer, owning the technical strategy and architecture behind Intuit's AI-powered developer platform, the GenAI CodeGen ecosystem (AI coding assistants, PR review agents, and agentic developer workflows). You will operate as the senior-most technical voice across CodeGen domain, setting architectural direction, driving org-wide adoption of AI tooling, and building the analytics/cost-governance backbone that proves ROI at enterprise scale. This is a hands-on technical leadership role — you'll code, architect, and mentor, while also shaping multi-quarter roadmaps and influencing decisions at the vendor and executive level.

Responsibilities

Technical Architecture & Execution

• Architect and evolve the platform layer for AI developer tooling (coding assistants, PR review agents, agentic workflows), ensuring scalability, reliability, and security across a global engineering base.
• Design and build the CodeAssist Admin Portal, cost-tracking/control systems, and analytics pipelines that measure adoption, effectiveness, and ROI of AI coding and PR-review tools.
• Integrate agentic workflows into backend services — enabling capabilities like automated code analysis, code generation, Intuit-context-aware PR review, and autonomous task execution.
• Drive prompt engineering, model integration, fine-tuning, and deployment best practices across multiple AI vendors (e.g., Claude, Cursor, CodeRabbit, Cursor BugBot).
• Roughly 40–60% hands-on coding; remain the technical go-to for the hardest problems in the stack.
• Own technical evaluation frameworks for new AI tools/vendors — POCs, benchmarking, cost-vs-outcome analysis — and translate findings into build/buy/adopt recommendations.

Leadership & Influence

• Act as the senior technical subject-matter expert for CodeAssist, mentoring engineers and leading small teams through ambiguous, high-complexity design problems.
• Lead functional requirement gathering, technical specification, and project/test planning for major platform initiatives.
• Generate technical documentation, design docs, and executive-level presentations to communicate architecture and design tradeoffs to both engineering and business audiences (including leadership and vendor reviews).
• Partner cross-functionally with Product, TPMs, QA/QE, and other engineering orgs to align roadmap and drive results.
• Set and evangelize technical vision for the team; help attract, retain, and grow key technical talent.
• Provide senior escalation support for critical production issues, driving root-cause resolution across AI-tooling incidents.
• Champion Agile/Scrum practices and continuously raise the technical bar for the team.

Qualifications

Required

• 10+ years of experience designing and developing web, software, or backend systems at enterprise scale.
• Strong leadership experience: leading design discussions, presenting to leadership, acting as the cross-functional technical go-to person.
• BS/MS in Computer Science or equivalent practical experience.
• Deep experience with AI/LLM frameworks, agentic workflows, and model integration (e.g., LangChain, LangGraph, CrewAI, OpenAI/Anthropic APIs).
• Strong programming fluency across Python, JavaScript/TypeScript, and at least one OOD language (Java, C#, Go).
• Expertise across the full SDLC, including strong unit testing and TDD practices.
• Proven experience with build systems and CI/CD (Jenkins, GitHub Actions, or equivalent), version control, and code review workflows at scale.
• Hands‑on experience with GitHub Enterprise Server and Artifactory (or equivalent artifact management platforms) — administration, scaling, and security hardening.
• Experience with cloud infrastructure (AWS, Azure, or GCP) and container orchestration (Docker, Kubernetes/ECS/EKS).
• Strong Linux/Unix background with advanced scripting skills.
• Strong understanding of security best practices in coding and operations, including vulnerability management.
• Excellent communication skills — able to explain complex technical tradeoffs to both technical and non-technical/executive audiences.
• Business acumen: strategic thinking, cost‑vs‑outcome framing, and the ability to build the case for AI tooling investment.
• Experience working across geographically distributed engineering centers.

Preferred

• Prior experience building or operating an internal AI/GenAI developer tooling platform (coding assistants, PR review agents, or similar).
• Experience with data vector embeddings and RAG‑based systems.
• Experience developing IDE extensions or integrations.
• Prompt engineering expertise across multiple LLM providers.
• Experience with metrics/monitoring/alerting tooling (Splunk, Prometheus, AppDynamics, PagerDuty).
• Familiarity with package management (yum, rpm, apt) and Nexus/Artifactory internals.
• Experience evaluating and negotiating with AI/dev-tooling vendors.

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Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job‑related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.