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Senior Staff Software Engineer - Developer Experience

Nubank · Palo Alto

Location
Palo Alto
Funding
Public Company
Posted
Sep 18, 2026

Nubank is hiring a Senior Staff Software Engineer - Developer Experience based in Palo Alto. Every apply link on Engg.space goes straight to the company's own careers page - no recruiter middleman, no generic job-board form.

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Role details

ABOUT NU Nu is the leading digital bank in Latin America, serving 140 million customers across Brazil, Mexico, and Colombia. The company has been leading an industry transformation by leveraging data and proprietary technology to develop innovative products and services. Guided by its mission to fight complexity and empower people, Nu caters to customers’ complete financial journey, promoting financial access and advancement with responsible lending and transparency. The company is powered by an efficient and scalable business model that combines low cost to serve with growing returns. Nu’s impact has been recognized in multiple awards, including Time 100 Most Influential Companies, Fast Company’s Most Innovative Companies, and Forbes World’s Best Banks. Visit our Institutional Page https://www.nu.com/2026-en About the role We are looking for a Senior Staff Software Engineer to drive the overarching strategy, technical vision, and execution across Nubank’s Quality & Developer Experience ecosystem. You will sit at the epicenter of our engineering transformation. This role goes far beyond traditional quality assurance or testing; you will own the end-to-end (E2E) Developer Experience (DevEx) across the entire Software Development Life Cycle (SDLC). From internal developer platform tools and boundary APIs to our suite of testing mechanisms and automated code reviews, your mission will be to architect AI-native systems that drastically reduce review latency, guarantee architectural correctness, and double engineering productivity across Nubank. Working alongside our most tenured engineering leaders and reporting into platform leadership, you will serve as the technical authority who brings fresh, market-leading perspectives from high-velocity environments to elevate our foundational standards. Mission Architect, scale, and operationalize an AI-transformed Developer Experience & Quality strategy so that: - The "Secure and Quality Path" is the Default: Automated mechanisms, linting, and smart context-aware agents enforce strict architectural standards, eliminating code quality degradation caused by high-volume AI code generation. - Developer Velocity Doubles (2x): The friction in review latency, pull request (PR) approvals, and continuous integration is systematically dismantled, enabling thousands of engineers to ship features safely to 140M+ customers at unprecedented speeds. - SDLC is Re-imagined for AI: Foundational tools across code authorship, testing, boundary APIs, and PR reviews are seamlessly integrated with state-of-the-art AI frameworks, smart LLM evaluations, and context-engineering hooks. - Automated Approval Standards are Built: Clear deterministic checks and intelligent human-in-the-loop triggers are established to achieve safe, automated PR approvals without manual bottlenecks. Core Responsibilities - Architect E2E Quality & DevEx Platforms: Define and evolve the multi-year vision for our developer tooling ecosystem—covering internal developer platforms, boundary APIs, test automation suites, and pull request review systems. - Lead the AI-Driven Code Review Evolution: Architect automated review mechanisms that leverage multi-model evaluations (e.g., using specialized LLMs to audit generated code), custom IDE/GitHub plugins, and deterministic linting to accelerate PR merge times while preventing code bloat or quality degradation. - Define Human-in-the-Loop Boundaries: Set company-wide paradigms for when code changes can be automatically approved and merged versus when human intervention or secondary AI audits are required. - Partner & Mentor Across Engineering: Act as a force multiplier by partnering with engineers and product managers, elevating the technical bar and instilling modern, high-velocity DevEx practices. - Balance AI Speed with System Integrity: Establish observability, defect-tracking metrics, and safety rails to ensure that rapid AI-assisted development does not introduce structural fragility into Nubank's core services. - Influence Build vs. Buy Strategy: Evaluate top-tier market tools, AI coding frameworks, and internal platforms to decide when to build bespoke internal agents or integrate emerging third-party tooling. Key Business & Engineering Metrics You Will Influence - Developer Productivity & Velocity - Achieve a 2x improvement in overall engineering productivity across Nubank's engineering organization. - PR Review Latency - Direct reduction in time-to-merge for pull requests across all BUs and countries. - Code Base Health & Quality - Zero degradation in code quality and zero increase in system defects despite exponentially higher volumes of AI-generated code. - Automated PR Approvals - Increase in the percentage of routine, low-risk code changes safely approved and merged via automated mechanisms. - Platform Adoption & Satisfaction - High adoption and developer satisfaction (CSAT) across proprietary internal DevEx tools and boundary APIs Challenges and Opportunities (What You’ll Own) - Navigating Scale: Every change you introduce to the SDLC impacts thousands of microservices and hundreds of engineering teams delivering features to over 140 million users. - Tackling "Code Slop" at the Root: As AI agents generate code faster than humans can read it, you will solve one of the industry's newest and hardest problems: keeping codebase quality high without slowing down the team. - High Autonomy & Strategic Breadth: You will operate with autonomy, driving horizontal technical alignment without needing micro-oversight, helping lead our joint DevEx technical council. Core Qualifications (What We're Looking For) - Senior IC Leadership Track Record: backend software engineering experience, with a proven track record designing developer platforms, core infra, or DevEx systems at high scale. - Deep DevEx & SDLC Expertise: Extensive domain depth in code review systems, test automation platforms, CI/CD pipelines, developer platforms, or static analysis tools built fo

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