About Nu
Nu is the leading digital bank in Latin America, serving 135 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.
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The Opportunity:
This position is for an Senior Staff Software Engineer to join the Investments Business Unit.
Investments Platforms is responsible for the core platforms that model Nubank’s investments business: custody, offer, order management, accounts, settlement and related domains. These platforms are the long‑term home for our investments capabilities and the main path to move away from legacy Invest systems that still handle a large portion of critical flows today. Your mandate is to help design, evolve and execute this environment and comply with regulatory requirements.
About Nubank's Engineering Culture:
We believe in small, empowered teams, a process‑light environment and a culture of ownership, learning and collaboration. Our architecture is platform‑oriented: we build extensible, agnostic business platforms (e.g., payments, banking, investments) that can be reused across products, markets and asset classes. You will be expected to think in terms of platforms first, translating complex investment domains into clean boundaries, contracts and abstractions that product teams can safely build on.
Nubank is also on a company‑wide journey to become an AI‑first company. We expect our senior engineers to be hands‑on with AI tools in their own work, and to help define how AI is used safely and productively in engineering and in products.
What we have to offer:
Own the technical direction of Investments Platforms – the systems that implement Nubank’s investments business model in software (custody, offer, orders, account, settlement and more) and power how we scale investments in Brazil and future markets.
Lead the migration off legacy Invest systems: design and execute strategies to move critical flows into modern Nubank platforms, while we continue operating at scale and meeting regulatory commitments.
Work on a disruptive investments architecture – rethinking how investments should be modeled and operated end‑to‑end, rather than just lifting and shifting existing broker or custodian patterns.
Drive AI usage in a high‑impact domain: help define how we use AI in investments – both in the products we ship and in how we design, build and operate platforms.
Collaborate across the platform ecosystem – working closely with other business and technical platforms such as Payments and Banking, and with product squads that consume Investments Platforms.
Global scope with hybrid flexibility: roles are based in Brazil, in a hybrid‑first model (office presence during the week plus periodic on‑site collaboration with other locations).
Core Qualifications (What We're Looking For)
12+ years of software engineering experience, including 5+ years working on large‑scale platforms or core systems in highly available, transactional environments (finance, payments, core banking, trading, etc.).
Proven track record building and operating business platforms that are extensible, multi‑tenant and domain‑agnostic – e.g., custody, payments, banking, risk or similar – with clear contracts for consuming teams.
Experience leading strategic migrations from legacy to new architectures: co‑existence patterns, strangler approaches, staged rollouts and data migration strategies that keep systems up while flows move off legacy.
Strong foundation in distributed systems and event‑driven architectures: domain modeling, consistency and resiliency strategies, backpressure, observability, SLIs/SLOs and incident learning loops.
Demonstrated platform engineering leadership at scale: defining reference architectures and RFCs, building reusable libraries and tools, setting platform SLAs, and making adoption low‑friction and high‑quality for internal customers.
Comfortable working as a horizontal leader across stakeholders: aligning GMs, PMs, EMs and Staff/Principals on trade‑offs between speed, risk, platform consistency and product goals.
Deep experience mentoring and multiplying senior engineers – raising the bar on architecture, design reviews, documentation and post‑incident retrospectives.
Investments expertise: hands‑on experience with investments platforms (brokerage, custody, order management, funds, fixed income, equities, settlement, risk) and understanding of the Brazilian capital markets landscape.
Platform background: prior work on other platforms (payments, core banking, investments) that shows you can design high‑abstraction, agnostic, extensible platforms and translate complex domains into clean boundaries and APIs.
AI fluency: you are already experimenting with AI in your engineering practice (design exploration, code generation/review, analysis, automation) and are excited to help Nubank push its AI‑first agenda in a pragmatic, safe way.
Language: Portuguese fluency is important; English is a plus rather than a hard requirement. We are open to strong IC8 candidates who can ramp up their English over time, and will trade off language in favor of outstanding technical and leadership fit where it makes sense.
Resilience and ownership mindset: you are energized by ambiguous, high‑stakes scenarios, keep a constructive and optimistic stance, and actively pull teams toward positive cultural change instead of getting stuck in pessimism or only in the micro level.
If you feel interested in these challenges and want to work on a highly engaged and talented team transforming how investments work in Brazil and beyond, this is the place for you!
Our recruitment process may involve the use of artificial intelligence–enabled tools, such as automated interview transcription and analysis, to support the evaluation process. Artificial intelligence is not used to make final hiring decisions; all decisions are made by human reviewers.