Senior Staff Software Engineer, Developer Productivity

Intuit · Bengaluru · 10+ yrs experience · Posted 2026-07-28

Tech stack: AWS, Azure, C#, Docker, GCP, GitHub Actions, Go, Java, JavaScript, Jenkins, Kubernetes, Linux, Python, TypeScript, Unix

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About the role

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. 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. 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. 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). 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. 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. 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. 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. 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). 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. 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. 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. 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. 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. 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. 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. 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). 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). 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. 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. 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. 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). Experience with cloud infrastructure (AWS, Azure, or GCP) and container orchestration (Docker, Kubernetes/ECS/EKS). Strong Linux/Unix background with advanced scripting skills. Strong Linux/Unix background with advanced scripting skills. Strong understanding of security best practices in coding and operations, including vulnerability management. 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. 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. 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. 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). 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 with data vector embeddings and RAG-based systems. Experience developing IDE extensions or integrations. Experience developing IDE extensions or integrations. Prompt engineering expertise across multiple LLM providers. Prompt engineering expertise across multiple LLM providers. Experience with metrics/monitoring/alerting tooling (Splunk, Prometheus, AppDynamics, PagerDuty). Experience with metrics/monitoring/alerting tooling (Splunk, Prometheus, AppDynamics, PagerDuty). Familiarity with package management (yum, rpm, apt) and Nexus/Artifactory internals. Familiarity with package management (yum, rpm, apt) and Nexus/Artifactory internals. Experience evaluating and negotiating with AI/dev-tooling vendors. Experience evaluating and negotiating with AI/dev-tooling vendors.

Qualifications

- 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 wor

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).
- Generate technical documentation, design docs, and executive-level presentations to communicate architecture and design tradeoffs to both engineer

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