Our mission is to evolve the platform architecture and workflows that let Insurance scale across more customers, more products, and new markets, and to close the gap between AI capabilities built centrally and their reliable adoption in production
As a Staff Software Engineer - Insurance, you will be a senior technical leader across two connected fronts: diagnosing and evolving our service architecture as the platform scales, and leading the rollout of AI/agentic tooling across the team's engineering workflow, from spec and code generation to testing and validation
You will operate at platform scale, building infrastructure and practices other teams depend on, while partnering closely with Product, Data, Security, Compliance, and Insurance partners. You'll be part of a lean, entrepreneurial team that delivers outsized business impact while protecting millions of customers, sitting at the intersection of embedded insurance, Nu's most important customer surfaces, and our insurer partners. This team is also one of the earliest adopters of agentic engineering within Nubank, putting you at the center of how that transformation actually happens
Diagnosing and evolving our platform architecture to remove constraints on scale, supporting a growing user base, expanding product portfolio, and global expansion
Providing AI-first engineering leadership, setting the standards and practices for how the team builds and evolves with AI/agentic tooling
Cutting through ambiguity, surfacing trade-offs and aligning cross-functional teams (Product, Data, Security, Compliance, Insurance partners) around clear outcomes
Ensuring observability for AI systems and platform services in production (tracing, logging, alerting)
Mentoring engineers on technical approach across both architecture and AI/agentic best practices, raising the team's execution level over time
Evaluating and incorporating both internal (Nubank) and external AI tools and agents into our workflows, based on what best fits our needs
Partnering with Nubank's central AI/platform teams and other BUs to share learnings and stay aligned on tooling direction
Enabling more Nubankers to safely contribute to AI-powered products over time (engineers and non-engineers)
Embedding responsible, auditable practices in everything shipped, across platform and AI systems alike, per applicable regulations and internal risk standards
We are looking for a person who has