Staff Software Engineer - PJ Brazil (Business Accounts)

About Us

Nubank was founded in 2013 to free people from a bureaucratic, slow and inefficient financial system. Since then, through innovative technology and outstanding customer service, the company has been redefining people's relationships with money across Latin America.

With operations in Brazil, Mexico, and Colombia, Nubank is today one of the largest digital banking platforms and technology-leading companies in the world. Nubank was listed on the NYSE in 2021 and was recently named one of Time Magazine's 100 Most Influential Companies.

For more information, visit www.nu.com.br.

About the Role

The PJ (Business Account) team is a rapidly scaling unit within Nubank. We are looking for a Staff Software Engineer to join this high-impact team, strategically helping the growth in Brazil and beyond.

In this role, you will sit at the intersection of Product and Platform. While we are a business-focused team dedicated to moving core metrics, you will also navigate global platform challenges. 

We are looking for a resourceful engineer. Someone who is excited by broad, complex problems and has the eagerness to expand our market share in a fast-moving environment.

Responsibilities

• Lead the technical design and implementation of scalable systems that power the PJ app experience for millions of business customers.
• Partner with Global Platform teams to integrate core services while maintaining a product-driven focus.
• Drive business outcomes by translating entrepreneur-specific challenges into robust, high-performance software solutions.
• Maintain technical excellence within the team through architectural discussions, code reviews, and mentorship.
• Collaborate cross-functionally across different Business Units to ensure seamless integration and a unified customer experience.

Required qualifications

• Ideally, has experience in Flutter and mobile architecture, and is equally comfortable navigating Clojure/BDC backend systems, from authentication flows and token management to BDC expressions and backend providers
• Wants to own the architectural vision for how PJ customers access, navigate, and experience their business finances, shaping decisions that will define how PJ scales across products, segments, and countries
• Can hold the platform and product tension simultaneously, thinking in systems while staying close to the customer experience, because the foundations you design directly determine what AXP can build and how fast they can ship
• Has a track record of driving alignment on hard architectural problems across multiple teams and stakeholders, bringing clarity to spaces where the path forward is genuinely unclear
• Wants to work on a horizontal, high-visibility role where your technical decisions have reach well beyond your own squad, influencing how authentication, app experience, and platform infrastructure evolve across PJ and Nubank
• Thrives in ambiguous, long-horizon initiatives and is energized by the challenge of defining what good looks like, not just executing against a spec

Location & Work Model

This role can be based in our offices in São Paulo and Campinas (Brazil) in a hybrid model (2x per week in the office), or according to current policies for the PJ team.

Diversity & Inclusion / Equal Opportunity

At Nubank, we believe that diversity is essential to building the best products and services. We are committed to creating a welcoming work environment that respects and values diversity in all its forms, and we encourage people from all backgrounds to apply. We are proud to be an equal opportunity employer and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

About you

We are looking for someone who is a whizz with Python, has experience with microservices, and is happy to get stuck into a gritty, fast-paced environment to work within our awesome Python team, championing and leading the build of secure, robust, and high-performance systems. 

The Opportunity

Our Python team builds highly available, low-latency microservices from scratch using the latest bleeding-edge technologies.

You will own and develop multiple services across our revenue domain billing, tax calculation, customer commitment management, and AI-powered revenue operations agents. You'll have the opportunity to make a huge impact on our growing company by solving complex problems as we scale. You'll be part of a group of people working together to build solutions to mission-critical problems and a company that values the very best ideas. People rely on our products to communicate daily, which means they rely on us to build things with a high degree of resiliency and reliability.

• Design developer/agent-friendly APIs.
• Build, test, and deploy applications to deliver critical global communications services.
• Identify and resolve issues related to latency, scalability, and performance.
• Create tools and AI agents to automate revenue operations.
• Investigate and resolve production issues by tracing through logs, data, and code to find root causes.
  
  

Who we're looking for

• 5+ years of professional software development experience with an object-oriented programming language
• Experience with web application development using Python (FastAPI, aiohttp, or similar).
• Experience designing and building RESTful APIs.
• Experience working with asynchronous programming
• Comfort working with PostgreSQL and relational databases at scale, including schema migrations, raw SQL queries and query optimization.
• Experience with event-driven architectures and message brokers (RabbitMQ, Kafka or similar).
• Experience in a highly available, uptime-critical production environment.
• Deep knowledge of microservice architecture patterns and anti-patterns
• Familiarity with Docker, Kubernetes, Consul, GitHub Actions, Argo CD, Prometheus, or OpenTelemetry.
• Strong troubleshooting skills — you can dig through logs, query databases, trace distributed systems, and read unfamiliar code to get to the bottom of an issue.
• Comfortable owning services in production, including on-call responsibilities and incident resolution.
• Comfortable using AI coding agents as part of your investigation workflow, while knowing when to rely on your own judgement.

Bonus Points For

• Experience with billing, tax, or financial systems.
• Telecom domain knowledge
• Experience with SQLAlchemy and Alembic.
• You take a thoughtful approach to decision making, knowing when to move fast and when to long-term optimize.
• You want to work in a fast-paced, product-driven environment.
• You keep up to date with the latest technologies and patterns, and enjoy sharing what you've learned.
• Familiarity with agent communication protocols (MCP, A2A).
• Experience building AI agents or LLM-powered applications.

#LI-KG1

#LI-BRAZIL

This is Adyen

Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. 

For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster.

Solutions Engineer

Adyen is looking for a Solutions Engineer with a solid understanding of and hands-on experience with technology, integration design, project management and a strong merchant focus. As an implementation consultant, you will be the primary point of contact for our merchant's technical teams, guiding them through the design, development, testing, and launch phases of their integrations with Adyen's platform. Your focus will be on ensuring an exceptional merchant experience throughout the project lifecycle. 

In this role, you will have the opportunity to work on diverse projects that encompass various payment solutions, including e-commerce platforms, marketplaces, and card issuing programs. By leveraging your technical proficiency and business acumen, you will play a vital role in guaranteeing a smooth implementation process and maintaining open lines of communication with our merchants and internal teams. This position is based in our Brazil office, and the ideal candidate is both consultative and technical.

What you'll do:

• Utilize development and programming expertise to create scalable and robust solutions for merchant integrations, while ensuring adherence to payment best practices.
• Serve as a consultative partner in specific verticals such as e-commerce, point of sale, and multi-faceted platforms, guiding merchants through integration processes.
• Collaborate cross-functionally with Sales, Account Managers, Product, and Engineering teams to deliver seamless merchant experiences and drive continuous improvements.
• Leverage project management and technical consulting skills to oversee high-quality project delivery, guaranteeing the technical integrity of merchant integrations.
• Provide consultation on optimizing payment solutions, including checkout experiences, authentication, omni-channel payments, and platform onboarding, while collaborating with Developers and Product Managers to enhance the platform.

Who you are:

• C1 level proficiency in Portuguese and English is required for this position.
• 5+ years of technical consultative experience, providing guidance and recommendations for clients integrating Web API solutions. Experience in payments is a plus.
• Proven ability to quickly learn new technologies, understand complex systems (APIs, databases, SDK's, etc.), and desire to improve technical acumen.
• Excellent communication skills; comfortable leading discussion with different audiences, e.g. development team, non-technical stakeholders and leadership. 
• Ability to understand how different systems work together within a larger software environment. This includes in-depth knowledge and debugging of REST or similar API protocols.

Check out what our implementation teams have to say about their roles here and here.

Our Diversity, Equity and Inclusion commitments 

Our unique approach is a product of our diverse perspectives. This diversity of backgrounds and cultures is essential in helping us maintain our momentum. Our business and technical challenges are unique, and we need as many different voices as possible to join us in solving them - voices like yours. No matter who you are or where you’re from, we welcome you to be your true self at Adyen. 

Studies show that women and members of underrepresented communities apply for jobs only if they meet 100% of the qualifications. Does this sound like you? If so, Adyen encourages you to reconsider and apply. We look forward to your application!

What’s next?

Ensuring a smooth and enjoyable candidate experience is critical for us. We aim to get back to you regarding your application within 5 business days. Our interview process tends to take about 4 weeks to complete, but may fluctuate depending on the role. Learn more about our hiring process here. Don’t be afraid to let us know if you need more flexibility.

This role is based out of our São Paulo office. We are an office-first company and value in-person collaboration; we do not offer remote-only roles.

This is Adyen

Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. 

For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster.

Implementation Engineer

Adyen is looking for an Implementation Engineer with a solid understanding of and hands-on experience with technology, integration design, project management and a strong merchant focus. As an implementation consultant, you will be the primary point of contact for our merchant's technical teams, guiding them through the design, development, testing, and launch phases of their integrations with Adyen's platform. Your focus will be on ensuring an exceptional merchant experience throughout the project lifecycle. 

In this role, you will have the opportunity to work on diverse projects that encompass various payment solutions, including e-commerce platforms, marketplaces, and card issuing programs. By leveraging your technical proficiency and business acumen, you will play a vital role in guaranteeing a smooth implementation process and maintaining open lines of communication with our merchants and internal teams. This position is based in our Brazil office, and the ideal candidate is both consultative and technical.

What you'll do:

• Utilize development and programming expertise to create scalable and robust solutions for merchant integrations, while ensuring adherence to payment best practices.
• Serve as a consultative partner in specific verticals such as e-commerce, point of sale, and multi-faceted platforms, guiding merchants through integration processes.
• Collaborate cross-functionally with Sales, Account Managers, Product, and Engineering teams to deliver seamless merchant experiences and drive continuous improvements.
• Leverage project management and technical consulting skills to oversee high-quality project delivery, guaranteeing the technical integrity of merchant integrations.
• Provide consultation on optimizing payment solutions, including checkout experiences, authentication, omni-channel payments, and platform onboarding, while collaborating with Developers and Product Managers to enhance the platform.

Who you are:

• C1 level proficiency in Portuguese and English is required for this position.
• 5+ years of technical consultative experience, providing guidance and recommendations for clients integrating Web API solutions. Experience in payments is a plus.
• Proven ability to quickly learn new technologies, understand complex systems (APIs, databases, SDK's, etc.), and desire to improve technical acumen.
• Excellent communication skills; comfortable leading discussion with different audiences, e.g. development team, non-technical stakeholders and leadership. 
• Ability to understand how different systems work together within a larger software environment. This includes in-depth knowledge and debugging of REST or similar API protocols.

Check out what our implementation teams have to say about their roles here and here.

Our Diversity, Equity and Inclusion commitments 

Our unique approach is a product of our diverse perspectives. This diversity of backgrounds and cultures is essential in helping us maintain our momentum. Our business and technical challenges are unique, and we need as many different voices as possible to join us in solving them - voices like yours. No matter who you are or where you’re from, we welcome you to be your true self at Adyen. 

Studies show that women and members of underrepresented communities apply for jobs only if they meet 100% of the qualifications. Does this sound like you? If so, Adyen encourages you to reconsider and apply. We look forward to your application!

What’s next?

Ensuring a smooth and enjoyable candidate experience is critical for us. We aim to get back to you regarding your application within 5 business days. Our interview process tends to take about 4 weeks to complete, but may fluctuate depending on the role. Learn more about our hiring process here. Don’t be afraid to let us know if you need more flexibility.

This role is based out of our São Paulo office. We are an office-first company and value in-person collaboration; we do not offer remote-only roles.

The Opportunity

Our AI teams build highly available, low-latency microservices using modern, cloud-native technologies. This role sits within our broader AI organization and focuses on developing the platforms, services, and tooling that support AI-powered products — from inference and embeddings to APIs, data flows, and observability.

You’ll work in a fast-paced environment where reliability, performance, and usability matter just as much as innovation. While some squads work closer to inference pipelines and LLM tooling, others focus on platform foundations, troubleshooting and reliability, data systems, or observability — all critical to delivering AI in production at scale.

What You’ll Do

• Build, test, and deploy scalable microservices for AI-powered systems, including text and voice processing
  
  
• Design developer-friendly APIs, agents and internal tools that make AI easy to use across the Telnyx product ecosystem
  
  
• Contribute to AI inference, embeddings, and platform services that support real-time and low-latency workloads
  
  
• Optimize performance, reliability, and observability in production environments
  
  
• Collaborate closely with Product, Infrastructure, and ML teams to bring features from ideation to production
  
  
• Troubleshoot, debug, and support critical systems running in production
  
  
• Participate in code reviews and uphold high engineering and operational standards
  
  

Depending on the squad, your focus may lean more toward inference pipelines, platform foundations, observability, data systems, or production troubleshooting.

Who We’re Looking For

• Someone who has built something with cutting-edge AI tooling (something that has only become possible in the last 6 months, rolling from application date). It doesn't really matter what it is; we just want to know you are building and staying up to date.
  
  
• Strong understanding of async programming, concurrency, and parallel execution
  
  
• Experience with microservice-based systems
  
  
• Excellent communication skills and the ability to work effectively across teams
  
  

Nice to Haves

• Familiarity with LLM frameworks and tools (e.g. PyTorch, Transformers, DeepSpeed, vLLM)
  
  
• Experience with distributed computing frameworks such as Ray (Ray Core, Serve, Train)
  
  
• Exposure to cloud-native stacks (Docker, Kubernetes, Prometheus, Jaeger)
  
  
• Knowledge of LLM optimization techniques (e.g. quantization, speculative decoding)
  
  
• Background in Retrieval Augmented Generation (RAG) systems

How We Hire Across Our AI Teams

Our AI Chapter is made up of multiple squads, including:

• AI application & software engineering
  
  
• Platform & infrastructure foundations
  
  
• Troubleshooting, reliability, and production support
  
  
• Data, storage, and embeddings
  
  
• Observability and performance monitoring
  
  

We hire into a shared AI engineering pipeline. During interviews, we focus on core engineering skills, system design, and problem-solving ability. Final squad alignment happens later, based on:

• Your strengths and interests
  
  
• Team needs at the time
  
  
• Where you’ll have the biggest long-term impact
  
  

This means the exact focus of the role may vary by squad, but the core expectation remains the same: building reliable, scalable AI systems in production.

Why You’ll Love It Here

At Telnyx, we’re not just building products — we’re building the future of intelligent communication. Our TelnyxAI platform empowers developers and businesses to:

• Store and serve vector embeddings at scale
  
  
• Use open-source models with our hosted inference infrastructure
  
  
• Deploy multimodal AI features across text, voice, and storage seamlessly
  
  

You’ll have the autonomy to take ownership of meaningful projects, contribute ideas that shape the product roadmap, and collaborate with talented people who care deeply about impact, quality, and long-term thinking.

#LI-KG1
#LI-BRAZIL
#LI-INDIA

The Opportunity

Our AI teams build highly available, low-latency microservices using modern, cloud-native technologies. This role sits within our broader AI organization and focuses on developing the platforms, services, and tooling that support AI-powered products — from inference and embeddings to APIs, data flows, and observability.

You’ll work in a fast-paced environment where reliability, performance, and usability matter just as much as innovation. While some squads work closer to inference pipelines and LLM tooling, others focus on platform foundations, troubleshooting and reliability, data systems, or observability — all critical to delivering AI in production at scale.

What You’ll Do

• Build, test, and deploy scalable microservices for AI-powered systems, including text and voice processing
  
  
• Design developer-friendly APIs, agents and internal tools that make AI easy to use across the Telnyx product ecosystem
  
  
• Contribute to AI inference, embeddings, and platform services that support real-time and low-latency workloads
  
  
• Optimize performance, reliability, and observability in production environments
  
  
• Collaborate closely with Product, Infrastructure, and ML teams to bring features from ideation to production
  
  
• Troubleshoot, debug, and support critical systems running in production
  
  
• Participate in code reviews and uphold high engineering and operational standards
  
  

Depending on the squad, your focus may lean more toward inference pipelines, platform foundations, observability, data systems, or production troubleshooting.

Who We’re Looking For

• Someone who has built something with cutting-edge AI tooling (something that has only become possible in the last 6 months, rolling from application date). It doesn't really matter what it is; we just want to know you are building and staying up to date.
  
  
• Strong understanding of async programming, concurrency, and parallel execution
  
  
• Experience with microservice-based systems
  
  
• Excellent communication skills and the ability to work effectively across teams
  
  

Nice to Haves

• Familiarity with LLM frameworks and tools (e.g. PyTorch, Transformers, DeepSpeed, vLLM)
  
  
• Experience with distributed computing frameworks such as Ray (Ray Core, Serve, Train)
  
  
• Exposure to cloud-native stacks (Docker, Kubernetes, Prometheus, Jaeger)
  
  
• Knowledge of LLM optimization techniques (e.g. quantization, speculative decoding)
  
  
• Background in Retrieval Augmented Generation (RAG) systems

How We Hire Across Our AI Teams

Our AI Chapter is made up of multiple squads, including:

• AI application & software engineering
  
  
• Platform & infrastructure foundations
  
  
• Troubleshooting, reliability, and production support
  
  
• Data, storage, and embeddings
  
  
• Observability and performance monitoring
  
  

We hire into a shared AI engineering pipeline. During interviews, we focus on core engineering skills, system design, and problem-solving ability. Final squad alignment happens later, based on:

• Your strengths and interests
  
  
• Team needs at the time
  
  
• Where you’ll have the biggest long-term impact
  
  

This means the exact focus of the role may vary by squad, but the core expectation remains the same: building reliable, scalable AI systems in production.

Why You’ll Love It Here

At Telnyx, we’re not just building products — we’re building the future of intelligent communication. Our TelnyxAI platform empowers developers and businesses to:

• Store and serve vector embeddings at scale
  
  
• Use open-source models with our hosted inference infrastructure
  
  
• Deploy multimodal AI features across text, voice, and storage seamlessly
  
  

You’ll have the autonomy to take ownership of meaningful projects, contribute ideas that shape the product roadmap, and collaborate with talented people who care deeply about impact, quality, and long-term thinking.

#LI-KG1
#LI-BRAZIL

We are Datadog's in-house product experts. The Technical Solutions team enables Datadog’s worldwide growth by educating potential clients and ensuring that existing customers are happy and successful. As a Technical Account Manager 2 (TAM 2), you’ll serve as a trusted advisor to our strategic customers, accelerating their adoption of the Datadog platform and enabling long-term success. TAM 2s bring deep technical expertise, refined customer skills, and consultative insight into how monitoring, observability, and DevOps practices translate to business value.

At Datadog, we place value in our office culture—the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Act as a technical advisor to 3 primary enterprise accounts, ensuring successful product adoption and effective usage of the Datadog platform.
• Lead enablement and adoption sessions across core product areas tailored to your customer’s architecture and business needs.
• Analyze customers’ IT Operations environments and workflows to recommend configuration, product usage, and performance improvements.
• Deliver technical business reviews, health checks, and account maturity assessments, contributing to customer QBRs with impactful recommendations.
• Escalate product issues appropriately and advocate for your customers’ needs with Datadog’s Product and Engineering teams.
• Create executive-level summaries and insights that tie platform usage to business outcomes.
• Participate in internal TAM strategy sessions and contribute to team learning through feature presentations, case studies, or best-practice sharing

Who You Are:

• You have 2+ years of experience in a technical customer-facing role (TAM, Solutions Architect, SRE, DevOps Engineer, or similar) within the cloud or observability space.
• You’re confident with at least two public cloud platforms (e.g. AWS, Azure, GCP) and have hands-on experience with infrastructure or application monitoring.
• You’re familiar with scripting or automation tools (e.g. Python, Bash, Terraform, Chef/Puppet).
• You have working knowledge of CI/CD pipelines and containerization tools (e.g. Jenkins, GitLab, Docker, Kubernetes).
• You excel at communicating technical concepts to both technical and non-technical stakeholders, and can adapt your style for individual contributors or exec audiences.
• You’re able to work with minimal guidance on customer enablement, issue triage, and product adoption strategies.
• You are comfortable traveling up to 25–30% of the time as needed (via auto, air, or train).
• Previous experience using Datadog or other cloud monitoring tools is a strong plus

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

• Best-in-breed onboarding program
• Generous global benefits package
• Intra-departmental mentor and buddy program for in-house networking
• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• An inclusive company culture, including Community Guilds and Inclusion Talks

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

We are Datadog's in-house product experts. The Technical Solutions team enables Datadog's worldwide growth by educating potential clients and ensuring that existing customers are happy and successful. We share our technical and product expertise with customers via multi-channel technical support, demos, and presentations. You’ll be joining a team and company where you will be challenged, but also will immediately witness your contributions to Datadog.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Engage with customers via multiple channels (ticketing system, live chat, and screensharing tools) to identify and resolve technical support requests while continuing to educate our clients on the use of the platform
• Reproduce technical issues and dive into Datadog’s 1000+ integrations
• Become demo certified and lead a three-pillar demo to customers 
• Participate in product conversations with internal teams based on feedback from client interactions
• Train as a highly knowledgeable specialist in one or more Datadog product area(s)
• Work from a Datadog office 3 - 5 days per week 

Who You Are:

• Experienced in multi-channel technical support at a SaaS company (2+ years of related experience)
• Experienced using Zendesk, Jira, Confluence, or similar software
• An engineer with previous technical troubleshooting and/or programming experience
• Self-motivated, detail-attentive, and have a desire for continuous learning 
• A critical thinker who defaults to a client-centric approach
• An effective written and verbal communicator
• A tinkerer with some programming experience and a basic knowledge of Linux
• Able to work a rotating schedule that requires weekend availability

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth: 

• Best-in-breed onboarding
• Generous global benefits
• Intra-departmental mentor and buddy program for in-house networking
• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• An inclusive company culture, able to join our Community Guilds and Inclusion Talks

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

Why Join Exadel

We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.

From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.

What You’ll Do

• Develop and maintain backend solutions using Java (Quarkus/Spring Boot)
• Collaborate with cross-functional teams to design and implement scalable solutions
• Support and maintain production environments
• Contribute to system performance, reliability, and scalability improvements
• Participate in agile development practices and team ceremonies
• Communicate effectively with stakeholders to address issues and propose solutions

What You Bring

• Experience in Java development
• Hands-on experience with Java Quarkus and/or Spring Boot
• Knowledge of AWS services including SQS, SNS, Lambda, DynamoDB, and CloudWatch
• Experience working with MySQL or other relational databases
• Experience with containerized environments (Docker, Kubernetes, ECS)
• Ability to manage multiple tasks and simultaneous requests
• Strong communication and interpersonal skills

Nice to have

• Familiarity with REST architecture

English level

English proficiency (preferred but not mandatory)

Legal & Hiring Information

• Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
• Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
• Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs

Your Benefits at Exadel

Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.

• International projects
• In-office, hybrid, or remote flexibility
• Medical healthcare
• Recognition program
• Ongoing learning & reimbursement 
• Well-being program
• Team events & local benefits 
• Sports compensation 
• Referral bonuses 
• Top-tier equipment provision

Exadel Culture

We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

About Us

Nu is one of the largest digital financial platforms in the world, with more than 122 million customers across Brazil, Mexico, and Colombia. Guided by our mission to fight complexity and empower people, we are redefining financial services in Latin America and this is still just the beginning of the purple future we're building.

Listed on the New York Stock Exchange (NYSE: NU), we combine proprietary technology, data intelligence, and an efficient operating model to deliver financial products that are simple, accessible, and human.

Our impact has been recognized by global rankings such as Time 100 Companies, Fast Company’s Most Innovative Companies, and Forbes World’s Best Bank. Visit our institutional page https://international.nubank.com.br/careers/  

About the Role

We are looking for an experienced engineer who thrives on solving "meta-problems"—fixing the tools and processes that other teams rely on. You will be responsible for designing and implementing high-leverage automation, managing enterprise tool rollouts (e.g., Postman, n8n), and defining the technical governance for our next-generation AI workflows.

Key Responsibilities

• Enterprise Automation & Platform Engineering:
  • Lead the implementation and maintenance of automation platforms (e.g., n8n) to orchestrate workflows across business units.
  • Design and optimize critical communication infrastructure (e.g., AWS SES, email delivery resilience) to ensure high availability for internal and transactional messaging.
• AI & "Vibe Coding" Governance:
  • Drive the technical strategy for AI adoption within engineering workflows.
  • Develop governance frameworks to ensure safe, compliant, and effective use of AI coding assistants and agents.
  • Build "Minimum Control Platforms" that balance developer freedom with security and operational risk requirements.
• Internal Tooling Standards:
  • Define and enforce usage standards for developer tools (e.g., Postman for API lifecycle), ensuring consistency across squads.
  • Conduct "Discovery Design" for new internal products, ensuring they are inclusive and scalable across different technical frameworks.
• Cross-Functional Technical Leadership:
  • Act as a technical reference for the domain, influencing architectural decisions beyond the immediate team. Mentor senior engineers and partner with stakeholders (ITSec, Privacy) to align technical solutions with company policies.

What are we looking for?

Technical Skills

• Solid Software Engineering Background: Proficiency in modern programming languages (Clojure, Java, or Python preferred) and distributed systems.

• Infrastructure & Cloud: Strong hands-on experience with AWS (specifically services like SES, Lambda, IAM) and Infrastructure-as-Code (Terraform/CloudFormation).

• Automation Mindset: Experience with workflow automation tools (n8n, Zapier, or custom orchestration engines) and API integration.

• AI/LLM Familiarity: Interest or experience in integrating LLMs/AI agents into developer workflows (e.g., Cursor, Copilot, internal AI agents).

• Advanced English

Behavioral & Strategic Skills

• Governance-Aware: You understand that "efficiency" must be balanced with "security." You can design systems that are safe by default without destroying developer velocity.
• Problem Solver: You are comfortable debugging opaque infrastructure issues (like email deliverability drops) one day and writing a strategic policy document the next.
• Multiplier: You enjoy documenting your work, creating "Golden Paths" for other engineers, and teaching others how to use the tools you build.

Our Benefits

• Chance of earning equity at Nubank
• Food/ Meal Card (Vale-Refeição and/or Vale Alimentação)
• Public Transportation Commuting Benefit (Vale-Transporte)
• NuCare – Psychological, Financial and Legal Assistance Program
• Life Insurance
• Medical Plan
• Dental Plan
• NuLanguage – Language Course Program
• Nucleo - Our learning platform of courses
• Extended Parental Leave
• Daycare Allowance
• Parental Consultancy
• Work-from-home Allowance
• Gym Partnerships
• 30 days of paid vacation
• Relocation Assistance Package, if applicable

Work Model for this Role

Our hybrid work model brings us to the office at least twice a week, on strategic days designed to maximize team connection and collaboration. For more details, visit https://building.nubank.com/nu-hybrid-work-model/

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

This is Adyen

Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. 

For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster.

Partner Solutions Engineer

Adyen is looking for a Partner Solutions Engineer with a hands-on track record of working with technologies like APIs and front end development. You can plan and execute complex system integration projects, and your mastery of our technologies enables you to build and maintain deep technical relationships with our most important strategic partners. This role focuses on ensuring our partners can successfully leverage the full potential of the Adyen platform for their customers through expert technical guidance and problem solving, product roadmap alignment, and architectural recommendations.

As a Partner Solutions Engineer, you will be a subject matter expert in Adyen’s product offerings down to the API level, enabling you to serve as the primary long-term technical counterpart for our partners' engineering and product management teams. Your goal is to ensure partners architect and implement solutions that deliver the best of Adyen, driving mutual success and innovation. This position requires a blend of technical expertise, strategic thinking, and strong stakeholder management skills to influence both partner implementations and Adyen's internal product development.

This role is critical in ensuring Adyen's platform is scalably supportable by our partners and that partner feedback effectively shapes our product evolution. The ideal candidate possesses a strong technical foundation, excellent communication skills, and the ability to build lasting, influential relationships internally and with partners.

What you'll do:

• Utilize software development and programming expertise to help partners create robust, scalable solutions that deliver Adyen’s products to their customers quickly and at high quality.
• Act as the long-term, trusted technical contact for partners' engineering and product teams,  guiding them on Adyen's platform capabilities and integration best practices.
• Provide ongoing support for technical inquiries, hands-on assistance during the implementation process, and lead troubleshooting efforts to ensure the timely delivery of solutions.
• Develop a comprehensive understanding of both Adyen's and key partners' product roadmaps. Provide strategic architectural recommendations to ensure partners optimally integrate Adyen's solutions, maximizing value for their end-customers.
• Collaborate with internal Product and Engineering stakeholders, advocating for partner needs and influencing Adyen’s roadmap to enhance scalability and supportability for the Adyen product offering.

Who you are:

• Proficiency in one or more programming or scripting languages (e.g., Python, Java, JavaScript, SQL).
• 8+ years experience integrating and/or providing technical consultation when integrating with Web APIs or complex systems.
• Proficient in English and Spanish.
• Availability to work 3 days in person on Morumbi/SP.
• Proven ability to quickly learn new technologies, understand complex systems (APIs, databases, SDKs, etc.), and a strong desire to continuously improve technical acumen.
• Excellent communication and presentation skills; comfortable leading technical discussions and building rapport with engineering leaders and product managers.
• Ability to establish and maintain strong, long-term technical relationships with partners.
• Ability to navigate ambiguity, manage technical stakeholders effectively, influence internal roadmaps, and make decisions by collaborating with the right people.
• Growth mindset with a bias toward action and strategic thinking.

This role is based out of our São Paulo. We are an office-first company and value in-person collaboration; we do not offer remote-only roles.

Our Diversity, Equity and Inclusion commitments 

Our unique approach is a product of our diverse perspectives. This diversity of backgrounds and cultures is essential in helping us maintain our momentum. Our business and technical challenges are unique, and we need as many different voices as possible to join us in solving them - voices like yours. No matter who you are or where you’re from, we welcome you to be your true self at Adyen. 

Studies show that women and members of underrepresented communities apply for jobs only if they meet 100% of the qualifications. Does this sound like you? If so, Adyen encourages you to reconsider and apply. We look forward to your application!

What’s next?

Ensuring a smooth and enjoyable candidate experience is critical for us. We aim to get back to you regarding your application within 5 business days. Our interview process tends to take about 4 weeks to complete, but may fluctuate depending on the role. Learn more about our hiring process here. Don’t be afraid to let us know if you need more flexibility.

Adyen is an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status.

About Us

Nubank was founded in 2013 to free people from a bureaucratic, slow and inefficient financial system. Since then, through innovative technology and outstanding customer service, the company has been redefining people's relationships with money across Latin America. With operations in Brazil, Mexico, and Colombia, Nubank is today one of the largest digital banking platforms and technology-leading companies in the world. Nubank was listed on the NYSE in 2021 and was recently named one of Time Magazine's 100 Most Influential Companies. For more information, visit www.nu.com.br.

About the Role

At Nubank, our Credit Card platform is the core of our global expansion. We are looking for a Staff Engineer to join our platform team as a technical anchor, ensuring our systems remain scalable and flexible as we maintain sustainable growth and innovation in the countries where we currently operate, while also launching into new international markets. You will play a vital role in evolving the architecture of one of our most complex and strategic products.

You will operate within a high-impact triad alongside Product and Management, focusing on long-term technical strategy and system health. As a hands-on technical leader, you will challenge the status quo, propose innovation and solve deep architectural problems, mentor and become a technical reference for our engineering team. Your work will directly enable millions of customers to access financial products via credit card worldwide.

Responsibilities

• Define and drive the long-term vision and strategy for the global architecture of the core credit card platform, ensuring exponential scalability and continuous evolution capability.
• Lead the strategic partnership with Product and Business leadership (C-level and VPs) to shape the medium and long-term technical roadmap and define the strategic OKRs and global impact KPIs.
• Act as a technical and cultural reference, defining the highest standards of engineering excellence, mentoring other Architects and Principal/Staff Engineers, and fostering a culture of innovation and accountability.
• Lead and resolve the most ambitious and high-risk technical challenges, intervening in critical performance or resilience bottlenecks and driving technical execution for solutions with multi-system and multi-country impact.
• Design and oversee the execution of complex system transformations (e.g., core banking migrations, replacement of legacy platforms) ensuring regulatory compliance in multiple jurisdictions and fiscal regimes, proactively mitigating risks.
• Communicate and defend the technical strategy eloquently and convincingly to the executive board and non-technical audiences, translating architecture decisions into business value and competitive advantage.

Required Qualifications

• Principal/Staff Engineer level experience or equivalent with an extensive and demonstrable history in architecting and scaling mission-critical, high-volume, and low-latency systems in global fintech or e-commerce environments.
• Expert proficiency (demonstrated in code and design) in multiple programming paradigms, with significant hands-on experience in functional programming (e.g., Clojure, Scala, Haskell) and reactive/event-based architectures.
• Proven ability to establish and lead the long-term technical strategy for entire platform ecosystems (not just isolated components), influencing the direction of multiple engineering groups.
• Deep and successful experience in navigating and defining the architecture in highly regulated financial environments (e.g., BACEN, FCA, SOX) and designing systems to meet data residency requirements and complex cross-border transactions.
• History of successfully leading and completing large-scale platform transformations (e.g., transition from monoliths to microservices mesh, migration of data centers or clouds), managing risks and operational impact.
• In-depth knowledge of credit card/payment systems design is a significant differential.

Nice to Have

• Experience with Clojure or similar functional languages.
• Proven interest or experience in leveraging AI to optimize engineering workflows.
• Deep domain knowledge of credit card processing or financial ledgers.

Location & Work Model

This role is based on a hybrid model at one of our Nubank offices in Brazil (São Paulo, Campinas, Rio de Janeiro, or Belo Horizonte), the United States (Palo Alto, Durham, Washington D.C. or Miami), or Canada (Toronto).

Location-Specific Disclosures

Total compensation includes base salary, RSUs and benefits.
Toronto base salary range (CAD): $192.000 - $288.000
Palo Alto base salary range (USD): $230.400 - $288.000

Diversity & Inclusion / Equal Opportunity

At Nubank, we believe that diversity is essential to building the best products and services. We are committed to creating a welcoming work environment that respects and values diversity in all its forms, and we encourage people from all backgrounds to apply. We are proud to be an equal opportunity employer and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

If you need accommodations during the application or interview process, please let us know.

This offer is conditional on meeting all applicable regulatory eligibility requirements and successful completion of background checks.

WHAT YOU'LL DO

Do you enjoy working on complex data-intensive products? Come join our quickly growing Engineering team to help design, improve and scale Braze's self-learning (reinforcement learning) AI platform.

Key job responsibilities: 

• Use robust software engineering best practices to design, implement, and improve modular components in Decisioning Studio: a reinforcement learning-based marketing personalization product.
• Work closely with other teams (e.g., UI/UX, Product, Applied Science, Implementation) to create scalable and robust product components
• Apply your extensive knowledge of TypeScript, React, and their ecosystem to build a clean, reliable, and extensible user interface for the web
• Influence Braze’s product strategy and roadmap
• Support teams implementing Decisioning Studio for customers to ensure their success

WHO YOU ARE

• Exceptional coder: you write clean code and you care about good design and development best practices 
• Tinkerer: you regularly explore and learn new technologies and methods
• Problem solver: you recognize patterns, synthesize information and come up with creative, simple, and practical solutions
• Entrepreneurial: you proactively identify opportunities and risks, work around obstacles, and always seek creative ways to improve processes and outcomes
• Structured and organized: you can structure a plan, align stakeholders, and see it through to execution
• Clear communicator: you are able to express yourself clearly and persuasively, both in writing and speech

#LI-Hybrid

About Us

Nu is one of the largest digital financial platforms in the world, with more than 127 million customers across Brazil, Mexico, and Colombia. Guided by our mission to fight complexity and empower people, we are redefining financial services in Latin America and this is still just the beginning of the purple future we're building.

About the Role
AI Platform Team - The mission of the AI Platform team is bold: to democratize AI by empowering every Nubanker—not just Data Scientists—with safe, scalable, and accurate Machine Learning capabilities.

We are looking for a Manager who is passionate about creating solutions that push the boundaries of our current stack. You will help us move beyond basic DS work to abstract the complexities of the entire ML lifecycle—from training and deployment to serving and governance.

Why is this role open?
We are scaling. Currently, our structure has grown significantly, and to ensure the organization's health and the growth of our engineers, we are opening this position to lead a dedicated squad. You will take ownership of a team that manages the base infrastructure for the entire Data Science function at Nubank.

You'll be responsible for:
As the ML Manager for the AI Platform, you will combine technical leadership with people management. You will lead a squad of 11 Machine Learning Engineers (varying from Senior to Intern levels) and work closely with a Staff ML Engineer and a Product Manager.

• People Management: Foster a culture of feedback and growth. You will guide the development of your direct reports, conducting performance reviews and helping them navigate their careers.
• Strategic Roadmap: Translate high-level business goals into actionable technical roadmaps. You will discuss needs with stakeholders and define the "how" and "when."
• Architecture & Innovation: Explore architecture gaps and opportunities. You won't just maintain; you will challenge the team to explore complex features like scalable parallel processing and better UX for Data Scientists.
• Execution: Conduct initiatives with autonomy and diligence, ensuring we deliver value while maintaining high engineering standards.
  
  

Nubank already has well-established tools for basic Data Science work. Your challenge is to take us to the next level. You will push the frontiers of technology to handle massive scale, integrate with multiple complex systems, and democratize access to AI tools across the company.

What we are looking for
You don't need to be a hands-on coder 100% of the time, but you must have the technical depth to challenge the team and understand the ecosystem.

• Experience in Leadership: You have experience managing high-performing engineering teams, sharing feedback, and hiring/developing talent.
• Domain Expertise: Solid background in ML Engineering, AI, or Data Science, specifically with a focus on MLOps, Infrastructure, and Platform building.
• Tech Stack Familiarity: You are comfortable discussing and architecting systems involving Kubeflow, SageMaker, and Databricks.
• The "Builder" Mindset: You enjoy building software. You want autonomy to make decisions and explore edge technologies, similar to the engineering culture found in Big Tech

Our Benefits

• Chance of earning equity at Nubank
• Food/ Meal Card (Vale-Refeição and/or Vale Alimentação)
• Public Transportation Commuting Benefit (Vale-Transporte)
• NuCare – Psychological, Financial and Legal Assistance Program
• Life Insurance
• Medical Plan
• Dental Plan
• NuLanguage – Language Course Program
• Nucleo - Our learning platform of courses
• Extended Parental Leave
• Daycare Allowance
• Parental Consultancy
• Work-from-home Allowance
• Gym Partnerships
• 30 days of paid vacation
• Relocation Assistance Package, if applicable

Work Model for this Role

Hybrid 2-3 times/week: Our hybrid work model brings us to the office at least twice a week, on strategic days designed to maximize team connection and collaboration. For more details, visit https://building.nubank.com/nu-hybrid-work-model/

Our backend team is building a highly-available and distributed data pipeline that powers Telnyx products like Voice, Messaging and Wireless. We leverage the Telnyx private backbone network to build a cloud-agnostic data platform that processes thousands of messages per second.

With our lean team, we're currently running and managing more than 30 dockerized microservices deployed in multiple regions in the U.S. and Europe. We are looking for a senior Java backend engineer with deep knowledge of Java Core.

In this role you will

• Work on 30+ microservices implemented in Java 11 and Scala that process, aggregate and expose all data our telecommunication and messaging engines generate
• Improve performance of our pipeline — we currently process 10k messages/sec and are growing
• Architect our services and pipelines so they work with minimum latency in all our locations around the world (U.S., E.U., Australia, South America)
• Implement fraud detection processes with machine learning (Kafka and Kafka Streams)
• Deploy services to multi-cloud Kubernetes environments to achieve 99.999% uptime
• Push code to production multiple times a day

What we're looking for

• Degree in Computer Science, Information Technology, or equivalent work experience
• 4+ years of experience with Java and its ecosystem of tooling
• Experience with at least one of these databases: Cassandra, ClickHouse, or OpenSearch
• Experience with AI tooling, or a strong willingness to learn

Nice to have

• Experience with Scala or another functional programming language
• Experience with Linux, Git, and Docker in a CI environment
• Experience with distributed systems and systems that maintain "five nines" (99.999%) of uptime

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Note: this is a hybrid role and requires ~3 days in the office in São Paulo-SP.

Job Overview:

We are seeking a highly skilled Frontline Senior Technical Solutions Engineer with over 10 years of experience to join our Platform Support team. This role is pivotal in delivering exceptional support for our Databricks Data Intelligence platform, addressing complex technical challenges, and ensuring the seamless operation of our data solutions. As a frontline engineer, you will be the primary point of contact for critical issues, working closely with both internal teams and customers to resolve high-impact problems and drive platform improvements.

Key Responsibilities:

• Frontline Support: Serve as the primary technical point of contact for escalated issues related to the Databricks Data Intelligence platform. Provide expert-level troubleshooting, diagnostics, and resolution for complex problems affecting system performance and reliability.
• Customer Interaction: Engage with customers directly to understand their technical issues and requirements. Provide timely, clear, and actionable solutions to ensure high levels of customer satisfaction.
• Incident Management: Lead the resolution of high-priority incidents, coordinating with various teams to address and mitigate issues swiftly. Conduct thorough root cause analyses and develop preventive measures to avoid recurrence.
• Collaboration: Work closely with engineering, product management, and DevOps teams to share insights, identify recurring issues, and drive improvements to the Databricks Data Intelligence platform.
• Documentation and Knowledge Sharing: Create and maintain detailed documentation on support procedures, known issues, and solutions. Contribute to internal knowledge bases and create training materials to assist other support engineers.
• Performance Monitoring: Monitor and analyze platform performance metrics to identify potential issues before they impact customers. Implement optimizations and enhancements to improve platform stability and efficiency.
• Platform Upgrades: Manage and oversee the deployment of Databricks Data Intelligence platform upgrades and patches, ensuring minimal disruption to services and maintaining system integrity.
• Innovation and Improvement: Stay abreast of industry trends and advancements in Databricks technology. Propose and drive initiatives to enhance platform capabilities and support processes.
• Customer Feedback: Collect and analyze customer feedback to drive continuous improvement in support processes and platform features.

Qualifications:

• Experience: Minimum of 8 years of hands-on experience in a technical support or engineering role related to Databricks Data Intelligence platform, cloud data platforms, or big data technologies.
• Technical Skills:  A deep understanding of Databricks architecture and Apache Spark™, along with experience in cloud platforms like AWS, Azure, or GCP, is essential. Strong capabilities in designing and managing data pipelines, distributed computing are required. Proficiency in Unix/Linux administration, familiarity with DevOps practices, and skills in log analysis and monitoring tools are also crucial for effective troubleshooting and system optimization.
• Problem-Solving: Demonstrated ability to diagnose and resolve complex technical issues with a strong analytical and methodical approach.
• Communication: Exceptional verbal and written communication skills, with the ability to effectively convey technical information to both technical and non-technical stakeholders.
• Customer Focus: Proven experience in managing high-impact customer interactions and ensuring a positive customer experience.
• Collaboration: Ability to work effectively in a team environment, collaborating with engineering, product, and customer-facing teams.
• Education: Bachelor’s degree in Computer Science, Engineering, or a related field. Advanced degree or relevant certifications are highly desirable.

Preferred Skills:

• Experience with additional big data tools and technologies such as Hadoop, Kafka, or NoSQL databases.
• Familiarity with automation tools and CI/CD pipelines.
• Understanding of data governance and compliance requirements.

Why Join Us?

• Innovative Environment: Work with cutting-edge technology in a fast-paced, innovative company.
• Career Growth: Opportunities for professional development and career advancement.
• Team Culture: Collaborate with a talented and motivated team dedicated to excellence and continuous improvement.

Sr Staff Software Engineer - CC Core Platforms

About Nubank
Nu is the world’s largest digital banking platform outside of Asia, serving over 123 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 Companies, Fast Company’s Most Innovative Companies, and Forbes World’s Best Banks. The Company is preparing for its next growth cycle where it will accelerate its internationalization process outside Latin America, and will also enter new verticals beyond financial services in its core markets taking advantage of the significant customer penetration.

Nubank History Video
Check out our Blog About Nu 

About the role
We are looking for a Senior Staff Software Engineer to lead the technical evolution of our Credit Card platform. This is not a traditional maintenance role. You will be the architect of a profound transformation: leveraging Generative AI to automate complex operational tasks and orchestrating the global migration from our current systems to a unified, future-proof architecture. You will be a key partner to the Engineering Leadership and a reference for the entire engineering community.

Mission
Your goal is to design and operationalize a technical strategy that uses AI to increase operational efficiency while accelerating our global migration, ensuring:

• Intelligent Maintenance: Implementing AI agents to analyze tickets and crashes, automating resolutions for the global credit card environment.
• Seamless Migration: Leading the coexistence strategy between legacy and new platforms across Brazil, Mexico, and Colombia, ensuring data integrity and a flawless customer experience.
• Technical Excellence: Solving deep architectural bottlenecks in high-scale distributed systems and raising the bar for software design globally.

Core Responsibilities

• Migration Strategy: Define the long-term roadmap for decommissioning legacy systems, starting with the 1-year migration plan for the Colombian market.
• AI-Driven Engineering: Architect and integrate AI solutions (cloud-based agents) to automate infrastructure maintenance and data migration.
• Strategic Partnership: Collaborate with General Managers, PMs, and Staff+ ICs to align technical decisions with business needs across different countries.
• Mentorship & Culture: Mentor senior engineers, fostering a culture of pragmatism, excellence in distributed systems, and the adoption of cutting-edge AI tools.

Challenges & Opportunities

• Navigating Complexity: You will work on high-scale systems supporting millions of transactions where every decision impacts customer limits and billing.
• Modernizing the Core: You have the unique opportunity to make "legacy" systems attractive and efficient by applying AI to remove heavy operational toil.

Core Qualifications (What We’re Looking For)

• Proven Track Record: 15+ years of experience in software engineering, with a focus on large-scale distributed systems.
• Migration Mastery: Proven experience leading critical system migrations and managing coexistence between old and new architectures.
• AI Fluency: A strong interest or practical experience in using GenAI/LLMs to solve engineering productivity and data analysis challenges.
• Platform Mindset: Ability to design reusable APIs and contracts that serve multiple product teams with high reliability.
• Global Communication: Fluent English is required to collaborate across our global hubs (Brazil, US, Mexico, and Colombia).

You will deploy and maintain our edge data centers for compute, AI and storage, contribute to the installation, migration, updates and integration of hypervisor services and modules. Maintain and optimize active projects. Participate in the development process of new projects and document the architecture and components.

Responsibilities

• Design, deploy, and manage highly available, scalable, and secure infrastructure solutions which include: Kubernetes on bare metal, Proxmox and Ceph
• Design and maintain Kubernetes, Ceph and Proxmox platforms for engineering team consumption
• Ensure that hardware design meets business and technical requirements, including performance, scalability, and reliability
• Evaluate and recommend new technologies and tools to improve the efficiency and effectiveness of virtualization solutions
• Ensure the reliability, performance, and scalability of our edge data centers
• Troubleshoot and resolve complex infrastructure issues, ensuring optimal performance and reliability
• Develop and maintain infrastructure-as-code (IaC) modules and configuration management to automate deployment, management, and monitoring processes

Essential Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Proven experience in developing Ansible roles and playbooks with idempotency.
• Proficiency in creating Terraform/Tofu modules.
• Strong GitOps mindset.
• In-depth knowledge of Linux networking
• Strong problem-solving and troubleshooting skills
• Familiarity with KVM/QEMU virtualization.
• Understanding of Ceph storage solutions.

Preferred:

• Experience with VXLAN, software-defined networking, and SR-IOV for smart NICs.
• Familiarity with the BGP protocol and configuring FRR or Bird.
• Experience with Terragrunt.
• Proficiency in using Ansible Tower or AWX.
• Proficiency in Python

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• You will ensure new customers have an excellent experience by providing technical assistance early in their journey
• You will become an expert on the Databricks Platform and guide customers in making the best technical decisions
• You will work directly with multiple customers concurrently to provide technical solutions.

• Undergraduate degree or higher in Computer Science, Information Systems, or relevant experience
• 3+ years experience in a customer-facing technical role in pre-sales, professional services, consulting or customer success.
• Experience in one or more of the following:
• Solid understanding of the end to end data analytics workflow
• Excellent time management and prioritization skills
• Knowledge of public cloud platforms AWS, Azure or GCP would be a plus
• Knowledge of a programming language - Python, Scala, or SQL
• Knowledge of end-to-end data analytics workflow
• Hands-on professional or academic experience in one or more of the following:
• Data Engineering technologies (e.g., ETL, DBT, Spark, Airflow)
• Data Warehousing technologies (e.g., SQL, Stored Procedures, Redshift, Snowflake)
• Excellent time management and prioritization skills
• Excellent written and verbal communication, in English and Portuguese
• Bonus
  • Knowledge of Data Science and Machine Learning (e.g., build and deploy ML Models).
  • Databricks certification(s)

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Mission 

As a Data & AI Technical Solutions Engineer, you play a critical role by helping customers debug and maintain stable production data pipelines, AI workflows, and more using the Databricks platform.  You will develop product expertise in a couple of areas by advising a broad set of customers and use cases across those technologies.  You will collaborate with other teams at Databricks to deliver an excellent customer experience - whether that’s product engineering teams or technical account team members.  TSE’s have proven production troubleshooting and optimization experience to help our customers’ workloads run smoothly and to achieve their strategic objectives using the Databricks’ platform.  Reporting to a TSE manager - you will be part of a world class global support engineering organization for Databricks, known for your technical depth and delivering impeccable customer service.

The impact you will have:

• Be the first point of contact for customer production issues - provide initial analysis, troubleshooting, and resolution for data engineering and AI workloads. 
• Deep Dive into code-level analysis of customer workloads to address issues related to Databricks products - including Spark core internals, Spark SQL, Delta, DLT, and Model Serving.
• Provide excellent customer support - be knowledgeable and empathetic in customer communications over email and video, act with a sense of urgency to find mitigations and solutions, diffuse escalations during incidents and be proactive at helping prevent future customer problems.   
• Help make the Databricks products simpler to use and customer production environments more stable - such as through coordinating with Engineering and Backline Support teams to identify areas for product improvements. 
• Develop expertise in productionizing systems in Databricks and share your knowledge by contributing to wikis and other technical documentation to be used internally or externally by customers and partners.

What we look for: 

• Minimum of 6 years of experience in designing, building, testing, and maintaining Python/Java/Scala based applications in typical project delivery and consulting environments. 
• Experience with SQL databases or data warehouses (such as Oracle, Teradata, SQL Server, MySQL) and ETL technologies (such as Informatica, DataStage, Talend, Fivetran). 
• 3 years of hands-on experience in developing two or more Big Data technologies such as Spark & Hadoop, Lakehouse architecture - such as Delta, Data Ingestion, Data Streaming applications, or ML/AI applications for industry use cases. 
• Hands-on experience in performance tuning and troubleshooting of Data and AI applications at production scale - including query optimization, memory management, garbage collection, and heap/thread dump analysis. 
• Prior Support or customer facing experience is not required for this role, but the ability and desire to develop excellent customer service skills is.
• Preferrable: Hands-on experience with public cloud (AWS or Azure or GCP).
• Technical degree or the equivalent experience.

About Us

Nubank was founded in 2013 to free people from a bureaucratic, slow and inefficient financial system. Since then, through innovative technology and outstanding customer service, the company has been redefining people's relationships with money across Latin America. With operations in Brazil, Mexico, and Colombia, Nubank is today one of the largest digital banking platforms and technology-leading companies in the world. Nubank was listed on the NYSE in 2021 and was recently named one of Time Magazine's 100 Most Influential Companies. For more information, visit www.nu.com.br.

About the Role

NuPay is a primary pillar in Nubank’s mission to revolutionize BNPL (Buy Now, Pay Later) solutions, creating a seamless bridge between customers and merchants. By stripping away the friction of traditional e-commerce checkouts, we are building an ecosystem where secure, instant payments are accessible across all channels—from online carts to physical stores via digital wallets.

You will join the NuPay team as a technical anchor, driving the evolution of a payments stack that balances massive scale with ironclad reliability. This role is about more than just moving bits; it’s about architecting the financial infrastructure that millions of people and businesses rely on to grow, ensuring every transaction is a bridge of trust between Nubank and our partners.

As a senior technical leader, you will oversee the technical direction of our payment features, navigating the complexities of authorization and settlement while mentoring the next generation of engineers. You will sit at the intersection of product innovation and platform stability, ensuring our checkout experience remains the gold standard for Latin American fintech.

Responsibilities

• Architect scalable systems for the NuPay domain, ensuring seamless and robust integration with our global internal payment platforms.

• Lead technical design for core payment lifecycles—including authorization, capture, settlement, and reconciliation—while balancing performance with security.

• Scale the payments platform to maintain high availability during extreme traffic surges, such as Black Friday or major retail events.

• Partner with Product Managers to iterate on the checkout journey, optimizing for high conversion and low churn while maintaining a world-class NPS.

• Define engineering standards for architecture, observability, and security, influencing multiple squads to uphold a high quality bar.

• Collaborate with Risk and Finance teams to engineer solutions that satisfy complex regulatory requirements without compromising the user experience.

Required Qualifications

• Track record of technical leadership in architecting complex, distributed software environments at scale.

• Deep expertise in high-availability systems, with demonstrated ability to perform rigorous trade-off analysis for long-term scalability.

• Background in high-criticality FinTech, specifically within Payments or Core Banking environments governed by strict SLAs.

• Evidence of delivering high-throughput systems using modern engineering practices, including automated testing, observability, and safe rollout strategies.

• Experience mentoring senior engineers, fostering a culture of technical excellence and shared ownership across organizational boundaries.

Nice to Have

• Experience with acquiring, sub-acquiring, or payment gateway architecture.

• Previous involvement with e-commerce or marketplace platforms managing proprietary payment stacks.

Location & Work Model

This role is based in São Paulo or Campinas, Brazil or Toronto, Canada or Buenos Aires, Argentina on a Hybrid model.

Diversity & Inclusion / Equal Opportunity

At Nubank, we believe that diversity is essential to building the best products and services. We are committed to creating a welcoming work environment that respects and values diversity in all its forms, and we encourage people from all backgrounds to apply. We are proud to be an equal opportunity employer and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

For information on how we handle your data, please see our Candidate Privacy Notice on our careers site.

About Us

Nu is one of the largest digital financial platforms in the world, with more than 127 million customers across Brazil, Mexico, and Colombia. Guided by our mission to fight complexity and empower people, we are redefining financial services in Latin America — and this is still just the beginning of the purple future we’re building.

Listed on the New York Stock Exchange (NYSE: NU), we combine proprietary technology, data intelligence, and an efficient operating model to deliver financial products that are simple, accessible, and human. Our impact has been recognized by global rankings such as Time 100 Companies, Fast Company’s Most Innovative Companies, and Forbes World’s Best Bank.
Learn more about our career opportunities here.

About the Role

We are looking for a Senior IT Engineer to design, implement, and operate our global office and data center network. In this role, you will own the connectivity and performance of Nu’s physical locations, ensuring that our offices and data centers are reliable, secure, and ready to support our next waves of growth.

You will work on routing, switching, wireless, security, and observability across our global stack, leading key initiatives such as new office rollouts, critical connectivity improvements, and the evolution towards Infrastructure as Code (IaC). You will be part of the Global Offices Network team, working closely with peers in Connectivity, Security, and Workplace to provide a seamless experience for Nubankers worldwide.

What You’ll Be Responsible For

Network & Connectivity

• Design, implement, and support enterprise network infrastructure for offices and data centers, including routing, switching, and wireless.
• Maintain and evolve high‑availability data center fabrics (e.g., spine‑and‑leaf topologies with Juniper/Cisco hardware).
• Ensure robust connectivity between offices and data centers, including WAN and SD‑WAN solutions, focusing on performance, reliability, and scalability.

Wireless, Load Balancing & Security

• Configure and support wireless networks (controllers and access points), with strong experience in vendors such as Aruba and Cisco.
• Operate and tune load balancers (e.g., F5, including DNS/ZoneRunner concepts) to guarantee optimal application delivery and resilience.
• Collaborate with security teams on Next‑Generation Firewalls (e.g., Palo Alto, Fortinet) and cloud security brokers (e.g., Zscaler) in a “security‑first” network design.

Automation, IaC & Observability

• Drive the transition away from manual configuration towards Infrastructure as Code (IaC) using tools such as GitHub, Terraform, and/or Ansible.
• Implement and maintain network performance monitoring and observability using tools like PRTG, Prometheus, Grafana, SolarWinds or similar, ensuring proactive detection and resolution of incidents.
• Manage PKI-related activities, including SSL/TLS certificate lifecycle and ensuring secure encrypted communications across services and endpoints.

Delivery & Collaboration

• Lead or co‑lead new office implementations and major network changes, coordinating with Workplace, Connectivity, and other partner teams.
• Act as a technical reference for incident response and problem management in critical networking issues, helping restore services quickly and preventing recurrences.
• Document architectures, runbooks, and standards, helping scale knowledge across the team.
• Mentor more junior engineers and collaborate in a multi‑level team (IC6, IC5, IC3, IC4) to continuously improve how we operate our global infrastructure.

We Are Looking for a Person Who Has

• 5+ years of experience in enterprise networking or infrastructure engineering, working with critical environments (e.g., large offices, data centers, or mission‑critical operations).
• Strong hands‑on experience with routing and switching, ideally using vendors such as Cisco and/or Juniper.
• Experience implementing and supporting wireless networks, especially with Aruba and/or Cisco wireless solutions.
• Solid experience operating network monitoring and performance tools (e.g., PRTG, SolarWinds, Prometheus, Grafana or similar) in production environments.
• Experience with load balancers (e.g., F5) and DNS‑related components (e.g., ZoneRunner or equivalent).
• Exposure to network security components, such as enterprise firewalls and/or security brokers, and comfort collaborating with security teams in a “security‑first” posture.
• Experience with or strong interest in Infrastructure as Code (IaC) and automation for network configuration and lifecycle management (e.g., GitHub, Terraform, Ansible).
• Ability to lead initiatives and coordinate teams during new office rollouts, complex changes, and incident response.
• Strong problem‑solving skills, ownership mindset, and ability to work in cross‑functional, multicultural teams.
• Intermediate English (spoken and written), with the ability to participate in meetings and collaborate with global teams.

Nice to Have

• Familiarity with Zero Trust network concepts and security‑driven networking.
• Experience with cloud networking (e.g., connectivity to public clouds) and hybrid environments.
• Experience with security mindset and encryption topics (e.g., secure protocols, network segmentation), even if not your primary specialization.
• Prior experience in distributed or global organizations.

Location

This opportunity is based in Brazil, with a strong preference for candidates who can work from our offices in:

• Rio de Janeiro, Brazil
• Belo Horizonte, Brazil

You will be part of the Brazil Global Offices Network team and collaborate with colleagues in other locations as needed.

Our Benefits – Brazil

For employees based in Brazil, we offer:

• Chance of earning equity at Nubank
• Food/Meal Card (Vale-Refeição and/or Vale-Alimentação)
• Public Transportation Commuting Benefit (Vale-Transporte)
• NuCare – Psychological, Financial and Legal Assistance Program
• Life Insurance
• Medical Plan
• Dental Plan
• NuLanguage – Language Course Program
• Nucleo – Our learning platform of courses
• Extended Parental Leave
• Daycare Allowance
• Parental Consultancy
• Work-from-home Allowance
• Gym Partnerships
• 30 days of paid vacation
• Relocation Assistance Package, if applicable

Work Model for This Role

This role follows our hybrid work model. Our hybrid work model brings us to the office at least 2–3 times per week, on strategic days designed to maximize team connection and collaboration. For more details, visit our article about Nu’s hybrid work model.

Learn More About How We Build Technology at Nu

• building.nubank.com.br
• youtube.com/@building.nubank
• Listen to our stories on Spotify

About Us

Nubank was founded in 2013 to free people from a bureaucratic, slow and inefficient financial system. Since then, through innovative technology and outstanding customer service, the company has been redefining people's relationships with money across Latin America. With operations in Brazil, Mexico, and Colombia, Nubank is today one of the largest digital banking platforms and technology-leading companies in the world. Nubank was listed on the NYSE in 2021 and was recently named one of Time Magazine's 100 Most Influential Companies. For more information, visit www.nu.com.br.

About the Role

At Nubank, our Credit Card platform is the core of our global expansion. We are looking for a Staff Engineer to join our platform team as a technical anchor, ensuring our systems remain scalable and flexible as we maintain sustainable growth and innovation in the countries where we currently operate, while also launching into new international markets. You will play a vital role in evolving the architecture of one of our most complex and strategic products.

You will operate within a high-impact triad alongside Product and Management, focusing on long-term technical strategy and system health. As a hands-on technical leader, you will challenge the status quo, propose innovation and solve deep architectural problems, mentor and become a technical reference for our engineering team. Your work will directly enable millions of customers to access financial products via credit card worldwide.

Responsibilities

• Define and drive the long-term vision and strategy for the global architecture of the core credit card platform, ensuring exponential scalability and continuous evolution capability.
• Lead the strategic partnership with Product and Business leadership (C-level and VPs) to shape the medium and long-term technical roadmap and define the strategic OKRs and global impact KPIs.
• Act as a technical and cultural reference, defining the highest standards of engineering excellence, mentoring other Architects and Principal/Staff Engineers, and fostering a culture of innovation and accountability.
• Lead and resolve the most ambitious and high-risk technical challenges, intervening in critical performance or resilience bottlenecks and driving technical execution for solutions with multi-system and multi-country impact.
• Design and oversee the execution of complex system transformations (e.g., core banking migrations, replacement of legacy platforms) ensuring regulatory compliance in multiple jurisdictions and fiscal regimes, proactively mitigating risks.
• Communicate and defend the technical strategy eloquently and convincingly to the executive board and non-technical audiences, translating architecture decisions into business value and competitive advantage.

Required Qualifications

• Principal/Staff Engineer level experience or equivalent with an extensive and demonstrable history in architecting and scaling mission-critical, high-volume, and low-latency systems in global fintech or e-commerce environments.
• Expert proficiency (demonstrated in code and design) in multiple programming paradigms, with significant hands-on experience in functional programming (e.g., Clojure, Scala, Haskell) and reactive/event-based architectures.
• Proven ability to establish and lead the long-term technical strategy for entire platform ecosystems (not just isolated components), influencing the direction of multiple engineering groups.
• Deep and successful experience in navigating and defining the architecture in highly regulated financial environments (e.g., BACEN, FCA, SOX) and designing systems to meet data residency requirements and complex cross-border transactions.
• History of successfully leading and completing large-scale platform transformations (e.g., transition from monoliths to microservices mesh, migration of data centers or clouds), managing risks and operational impact.
• In-depth knowledge of credit card/payment systems design is a significant differential.

Nice to Have

• Experience with Clojure or similar functional languages.
• Proven interest or experience in leveraging AI to optimize engineering workflows.
• Deep domain knowledge of credit card processing or financial ledgers.

Location & Work Model

This role is based on a hybrid model at one of our Nubank offices in Brazil (São Paulo, Campinas, Rio de Janeiro, or Belo Horizonte), the United States (Palo Alto, Durham, Washington D.C. or Miami), or Canada (Toronto).

Diversity & Inclusion / Equal Opportunity

At Nubank, we believe that diversity is essential to building the best products and services. We are committed to creating a welcoming work environment that respects and values diversity in all its forms, and we encourage people from all backgrounds to apply. We are proud to be an equal opportunity employer and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

If you need accommodations during the application or interview process, please let us know.

This offer is conditional on meeting all applicable regulatory eligibility requirements and successful completion of background checks.

Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry’s digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.

Xometry is looking for a Machine Learning Engineer II who is excited about advancing machine learning capabilities and bringing models into production at scale. In this role, you’ll design, deploy, and maintain robust statistical and machine learning models, working closely with data scientists to translate research and experimentation into reliable, high-impact systems. You’ll apply strong data intuition and engineering judgment to improve model performance, reliability, and observability, while building predictive models that support pricing, cost estimation, and sourcing recommendations.

What You'll Do:

• Design, build, and optimize machine learning models to enhance Xometry’s platform and business operations.
• Analyze large datasets to extract meaningful patterns and insights.
• Collaborate with cross-functional teams to integrate machine learning models into production systems.
• Learn and apply best practices in model evaluation, performance tuning, and deployment.
• Influence technical direction by identifying opportunities to improve modeling approaches, data quality, and system architecture.
• Work across teams to ensure machine learning solutions are explainable, maintainable, and aligned with business goals.
• Help bridge the gap between research and production, ensuring models perform just as well in the real world as they do in notebooks.
• Gain exposure to cutting-edge machine learning frameworks, tools, and techniques used in the manufacturing industry.

Qualifications:

• A bachelor’s degree is required, but an advanced degree (M.S. or PhD) in computer science, machine learning, AI, or a related field is highly preferred.
• Experience deploying and maintaining machine learning models in production environments.
• 4+ years of experience in machine learning, focusing on data engineering and/or data science.
• Proficient in Python, including key libraries such as PyTorch, TensorFlow, pandas, and numpy.
• Strong background in probability, statistics, and optimization techniques relevant to generative modeling.
• Familiarity with cloud computing resources and tools for model training and deployment (e.g., AWS SageMaker).
• Familiar with software engineering principles, including version control, reproducibility, and continuous integration.
• Experience in the manufacturing, supply chain, or similar industries is a plus.

#LI-Remote

Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.

For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

Xometry is seeking a Senior Machine Learning Engineer to join our growing organization. The right person will help move our machine learning capabilities to the next level. You’ll be working in an organization where AI is the enabler and center of its core business strategy. You want to be part of a small, intensely skilled team, who feel total ownership of their work, and can’t imagine a day without learning & coding.  You will play a crucial role in the Xometry platform and everything you do will matter.

Responsibilities:

• At Xometry, you will play a crucial role in exploring new machine learning opportunities, researching and performing proof of concepts, and bringing new machine learning and AI solutions into Xometry’s platform
• Develop and implement machine learning models that improve Xometry’s ability to predict cost, price, and sourcing options for our customers and suppliers.
• You will be responsible for leading the evaluation of emerging technologies, identifying areas for improvement, and developing new features while ensuring the reliability and scalability of Xometry’s platform
• Lead the exploration of emerging AI and machine learning technologies and develop proof-of-concepts to assess their potential impact on Xometry’s platform
• Collaborate with cross-functional teams to gather requirements, prioritize features, and define technical solutions based on the latest innovations
• Monitor machine learning models and AI performance and troubleshoot issues as they arise
• Contribute to the documentation and knowledge base to help other teams understand and use Xometry’s AI effectively

Qualifications:

• Experience with state of the art ML modeling techniques and approaches like transformers, self supervised pre-training, generative modeling, LLMs, etc
• Experience with large scale data processing (e.g., Hands-on experience training and applying models at scale using deep learning frameworks like PyTorch or Tensorflow)
• Successful candidates in this role need to be able to bridge state of the art approaches to real world impact
• A cloud-native software craftsperson with hands on experience with containers, container orchestration, and distributed systems
• An engineer with a self-driven attitude who can own problems and deliver solutions
• Strong software fundamentals with experience in design patterns, refactoring, OOP, and testing
• A cloud practitioner who values the “shift-left” mentality by building systems with Infrastructure as Code, not console clicking
• Data’s at the heart of our systems, we hope it's yours too. You’re comfortable working with SQL and/or NoSQL, understand database design, and data analysis
• Experience building and consuming CI/CD pipelines
• Someone who knows their way around the command line and has experience working with *nix systems
• 5+ years working experience in the engineering teams that build large-scale ML-driven user-facing products
• 3+ years experience leading cross-team engineering efforts
• Strong execution skills in project management

#LI-Remote

Xometry is seeking a Senior Machine Learning Engineer to join our growing organization. The right person will help move our machine learning capabilities to the next level. You’ll be working in an organization where AI is the enabler and center of its core business strategy. You want to be part of a small, intensely skilled team, who feel total ownership of their work, and can’t imagine a day without learning & coding.  You will play a crucial role in the Xometry platform and everything you do will matter.

Responsibilities:

• At Xometry, you will play a crucial role in exploring new machine learning opportunities, researching and performing proof of concepts, and bringing new machine learning and AI solutions into Xometry’s platform
• Develop and implement machine learning models that improve Xometry’s ability to predict cost, price, and sourcing options for our customers and suppliers.
• You will be responsible for leading the evaluation of emerging technologies, identifying areas for improvement, and developing new features while ensuring the reliability and scalability of Xometry’s platform
• Lead the exploration of emerging AI and machine learning technologies and develop proof-of-concepts to assess their potential impact on Xometry’s platform
• Collaborate with cross-functional teams to gather requirements, prioritize features, and define technical solutions based on the latest innovations
• Monitor machine learning models and AI performance and troubleshoot issues as they arise
• Contribute to the documentation and knowledge base to help other teams understand and use Xometry’s AI effectively

Qualifications:

• Experience with state of the art ML modeling techniques and approaches like transformers, self supervised pre-training, generative modeling, LLMs, etc
• Experience with large scale data processing (e.g., Hands-on experience training and applying models at scale using deep learning frameworks like PyTorch or Tensorflow)
• Successful candidates in this role need to be able to bridge state of the art approaches to real world impact
• A cloud-native software craftsperson with hands on experience with containers, container orchestration, and distributed systems
• An engineer with a self-driven attitude who can own problems and deliver solutions
• Strong software fundamentals with experience in design patterns, refactoring, OOP, and testing
• A cloud practitioner who values the “shift-left” mentality by building systems with Infrastructure as Code, not console clicking
• Data’s at the heart of our systems, we hope it's yours too. You’re comfortable working with SQL and/or NoSQL, understand database design, and data analysis
• Experience building and consuming CI/CD pipelines
• Someone who knows their way around the command line and has experience working with *nix systems
• 5+ years working experience in the engineering teams that build large-scale ML-driven user-facing products
• 3+ years experience leading cross-team engineering efforts
• Strong execution skills in project management

#LI-Remote

About Us

Nubank was founded in 2013 to free people from a bureaucratic, slow and inefficient financial system. Since then, through innovative technology and outstanding customer service, the company has been redefining people's relationships with money across Latin America. With operations in Brazil, Mexico, and Colombia, Nubank is today one of the largest digital banking platforms and technology-leading companies in the world. Nubank was listed on the NYSE in 2021 and was recently named one of Time Magazine's 100 Most Influential Companies. For more information, visit www.nu.com.br.

About the Role

As a Staff Software Engineer (IC7), you will join the Loyalty team to architect and evolve a high-throughput platform that ensures our customers receive the same value they bring to our ecosystem.

You will operate within a highly collaborative environment, partnering with product, design, and business analysts to navigate complex technical trade-offs. This role is designed for an engineer who thrives on "hands-on" technical execution while maintaining a strategic view of how features impact our long-term objectives and massive customer base.

Responsibilities

• Design and implement high-scale distributed systems capable of handling massive throughput for our loyalty program.
• Drive technical excellence by writing clean, performant code and participating in daily development activities ("hands-on").
• Lead cross-functional alignment with Product, Design, and Business leads to ensure technical solutions meet multi-pillar OKRs.
• Architect resilient services that can scale seamlessly to support millions of active customers in the Brazilian market.
• Mentor and grow the engineering team by establishing best practices for lateral development across different product features.

Required Qualifications

• Experience building and maintaining high-scale, high-throughput backend services in a production environment.
• Proven track record of technical ownership over complex features, from initial architecture to long-term maintenance.
• Demonstrated ability to manage stakeholders and communicate technical trade-offs to both technical and non-technical partners.
• Background in developing robust systems within large engineering organizations.

Nice to Have

• Prior experience developing loyalty or rewards-based products.
• Experience with financial technology or distributed ledger concepts.
• Background in managing features that span multiple business domains simultaneously.

Location & Work Model

This role is based in São Paulo, Brazil on a Hybrid model (2 times per week).

Diversity & Inclusion / Equal Opportunity

At Nubank, we believe that diversity is essential to building the best products and services. We are committed to creating a welcoming work environment that respects and values diversity in all its forms, and we encourage people from all backgrounds to apply. We are proud to be an equal opportunity employer and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

WHAT YOU'LL DO

As our customer base continues to grow with the excitement around BrazeAI, we’re expanding our team! Join our Forward-Deployed Data Scientist group of creative technical experts who partner with customers to ensure their success. In this role, you will:

• Collaborate with customer Analytics/BI teams and Braze colleagues on implementations, including use case definition, data integration, pipeline setup, and ML model configuration
• Extend product capabilities by improving architecture and developing reusable data pipelines, APIs, and components
• Work closely with the RL pipeline development team to refine and advance our reinforcement learning (self-learning) algorithms
• Contribute to shaping BrazeAI product strategy and roadmap through customer-facing insights and technical expertise
• Provide ongoing technical expertise to ensure successful adoption, measurable outcomes, and long-term customer success

WHO YOU ARE

• Education: Bachelor’s degree in Computer Science, Data Science, Mathematics, Engineering, or a related field required; Master’s or PhD in a relevant technical discipline preferred
• Experience: 3–5+ years of hands-on experience as a Data Scientist, Machine Learning Engineer, or similar role working with large-scale data and production environments. Experience in customer-facing or consulting roles is strongly preferred
• Strong technical expertise: proficient in Python (Pandas) and core ML libraries (TensorFlow, Keras, scikit-learn, CatBoost, XGBoost). Skilled in SQL for querying/manipulating datasets, with experience in machine learning pipelines and model deployment
• Engineering best practices: you write well-structured, modular, documented code; follow strong development practices (Git, CI/CD, testing frameworks, type-hinting, code reviews); and can build scalable, maintainable solutions
• Nice-to-have skills: experience with DevOps tools (Airflow, Kubernetes, Terraform, GCP), data integration/ETL, and pipeline optimization, or reinforcement learning algorithms
• Customer collaborator: comfortable working directly with clients and cross-functional teams, aligning stakeholders, and translating technical concepts into clear business value
• Entrepreneurial problem-solver: you identify opportunities and risks early, troubleshoot obstacles, and drive creative solutions
• Continuous learner: you stay current with industry trends, explore new tools/technologies, and thrive in environments that push you to grow
• Clear communicator: able to explain complex technical ideas persuasively to both technical and non-technical audiences

.

About Us

Nu is one of the largest digital financial platforms in the world, with more than 122 million customers across Brazil, Mexico, and Colombia. Guided by our mission to fight complexity and empower people, we are redefining financial services in Latin America and this is still just the beginning of the purple future we're building.

Listed on the New York Stock Exchange (NYSE: NU), we combine proprietary technology, data intelligence, and an efficient operating model to deliver financial products that are simple, accessible, and human.

Our impact has been recognized by global rankings such as Time 100 Companies, Fast Company’s Most Innovative Companies, and Forbes World’s Best Bank. Visit our institutional page https://international.nubank.com.br/careers/ 

About the role

Our Engineering team helps Nubank to create and use the technology that provides us to build the best financial products. We strive for state-of-the-art software development practices that currently include a variety of technologies. While we value candidates that are familiar with them, we are also confident that software engineers who are interested in joining Nubank will be able to learn from our team. The software engineer is focused on software development with Clojure as the main programming language (We will teach you Clojure). Main responsibilities:

• Horizontally scalable microservices written mostly in Clojure, using Finagle and leveraging upon functional programming techniques and hexagonal architecture
• High throughput jobs and inter-service communication using Kafka
• Continuous Integration and Deployment into AWS
• Storing data in Datomic and DynamoDB
• Monitoring and observability with Prometheus
• Running as much as possible in Kubernetes

We are a process-light organization that values human interactions. We value working in small, independent teams that feel like small startups within the company, and eschew coupling and centralizing where realistic. We understand that execution is the key to success and optimize processes to remove bottlenecks.

You will be responsible for

• Work with large scale distributed systems, understanding their broad architecture
• Set technical direction for multiple teams, ensuring alignment with Business Areas and architecture strategies
• Drive pragmatic innovation while ensuring resilient and flexible solutions that scale across products and geographies
• Mentor engineers across teams, establishing and maintaining a high technical bar organization-wide
• Write, test, instrument, document, and maintain code. Able to pair and participate in code reviews to contribute to the growth of others in and around the team
• Collaborate closely with Product, Design, and Engineering leaders to build new experiences
• Ensure comprehensive observability, performance monitoring, and error handling across team services
• Participate in on-call rotations for your team and respond to incidents as necessary
• Work focused on backend applications, and be open to contribute to mobile and frontend development, according to business needs

We are looking for a person who has

• At least 10 years of experience developing digital products in complex environments
• Deep expertise in distributed systems, microservices architecture, and cloud technologies
• Proven track record of designing and delivering large-scale systems that serve thousands (or even millions) of users
• Strong background in object-oriented or functional programming languages, with ability to work across multiple languages
• Demonstrated ability to lead technical initiatives across multiple teams without direct authority
• Experience mentoring senior engineers and raising the technical bar across organizations
• Practical knowledge of agile software development methodologies and previous experience with CI/CD
• Good communication skills to prevent risks and explain trade-offs clearly to both technical and non-technical stakeholders
• Advanced English skills

Our Benefits

• Chance of earning equity at Nubank
• Food/ Meal Card (Vale-Refeição and/or Vale Alimentação)
• Public Transportation Commuting Benefit (Vale-Transporte)
• NuCare – Psychological, Financial and Legal Assistance Program
• Life Insurance
• Medical Plan
• Dental Plan
• NuLanguage – Language Course Program
• Nucleo - Our learning platform of courses
• Extended Parental Leave
• Daycare Allowance
• Parental Consultancy
• Work-from-home Allowance
• Gym Partnerships
• 30 days of paid vacation
• Relocation Assistance Package, if applicable

Work Model for this Role

Hybrid 2-3 times/week: Our hybrid work model brings us to the office at least twice a week, on strategic days designed to maximize team connection and collaboration. For more details, visit https://building.nubank.com/nu-hybrid-work-model/

Senior Staff Software Engineer - Debt Resolution

About Nubank
Nu is the world’s largest digital banking platform outside of Asia, serving over 123 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 Companies, Fast Company’s Most Innovative Companies, and Forbes World’s Best Banks. The Company is preparing for its next growth cycle where it will accelerate its internationalization process outside Latin America, and will also enter new verticals beyond financial services in its core markets taking advantage of the significant customer penetration.

Nubank History Video
Check out our Blog About Nu 

About the role
We are hiring a Senior Staff Software Engineer to help lead the architectural direction of Nubank’s Global Debt Resolution platform, operating horizontally across all business areas. You will align the debt resolution stack to a cohesive long-term technical vision spanning Lending, Credit Card, and Credit Platform (Core Banking), ensuring we build globally scalable, compliant, and reusable solutions. This is a high‑influence IC leadership role where you will shape both the platform and the teams that build on top of it.

You will identify the right long‑term patterns for collections, renegotiations, and payments, and push them consistently across all business areas and credit domains. By sitting at the intersection of Lending, Credit Card, and Credit Platform, you will ensure every new initiative builds toward a unified, multi‑market debt resolution platform.

Mission
Design and operationalize a horizontal technical strategy for Global Debt Resolution so that:

• Legacy vs. Future is Deliberate: The boundaries between legacy, stable, and future systems are explicit, with clear migration plans and guardrails that reduce long‑term complexity and risk.
• Cross‑BU Leverage is Maximized: High‑leverage capabilities (e.g., renegotiation, late‑state flows, payment allocation, credit core integrations) are built once and reused across Debt Resolution, Lending, Credit Card, and Core Banking, instead of re‑implemented in silos.
• Business & Tech are Seamlessly Aligned: You act as a direct technical partner to business area leads and GMs, turning ambiguous credit/debt constraints into clear platform strategies and delivery roadmaps.

Core Responsibilities

• Lead Architectural Direction for Global Debt Resolution: Define and evolve the long‑term architecture for the Debt Resolution platform.
• Drive Cross‑Unit Collaboration & Alignment: Ensure architectural alignment and smart reuse across Lending, Credit Card, and Credit Platform (Core Banking), avoiding duplicated flows and inconsistent debt behaviors.
• Design for Multi‑Market Scalability: Architect and evolve foundational systems to support multi‑geo rollouts, minimizing per‑country forks and enabling configuration‑driven behavior instead of code‑driven divergence.
• Mentor Senior Engineers & Managers: Act as a technical mentor and challenger ICs and engineering managers in the BU, raising the bar on architectural depth, system thinking, and cross‑domain collaboration.
• Balance Five‑Year Vision with Near‑Term Delivery: Combine long‑term architectural thinking with hands‑on support for current roadmaps in all business areas, ensuring that short‑term delivery steps move us closer to the desired target architecture.

Key Business & Engineering Metrics You Will Influence

• Recovery Efficiency & Economics
• Improved collections and renegotiation efficiency through better tooling and shared capabilities.
• Reduced cost‑to‑serve per renegotiation or resolution flow.
• Platform Reuse & Adoption
• Increased reuse of shared Debt Resolution components across products and geos.
• Higher adoption rate of common patterns and building blocks versus bespoke solutions.
• Engineering Stability & Correctness
• Fewer incidents and production issues related to debt resolution, late‑state flows, or payment allocation.
• Reduced regression and rework when launching new markets or features.
• Time‑to‑Market & Migration Progress
• Faster launch of new markets and debt strategies on top of shared platforms.
• Clear progress on deprecating legacy systems and moving flows into the target architecture.
• Stakeholder Alignment & Satisfaction
• Stronger perception of engineering as a strategic partner by GMs and business leaders.
• Improved clarity of ownership and roadmaps across teams touching Debt Resolution.

Challenges and Opportunities (What You’ll Own)

• Unifying Architectures: You will tackle the challenge of multiple, partially overlapping debt resolution stacks by identifying common patterns and driving convergence toward a single, extensible platform.
• Making the Best Solution the Default Solution: You will ensure that the best ideas from any one team become the default standard for all, through clear patterns, documentation, and hands‑on collaboration.
• Operating with High Agency: You will have the mandate to push for global efficiency and correctness, while working through influence—bringing along Staff+ engineers, EMs, and PMs across multiple BUs.
• Balancing Risk, Compliance, and Speed: You will continually reconcile regulatory constraints, credit risk needs, and product velocity, making trade‑offs explicit and sustainable in the architecture.

What You’ll Navigate

• Complexity of Scale & Legacy: Balancing immediate needs of specific product areas with the long‑term goal of a unified, multi‑market Debt Resolution platform, including leading teams through multi‑year migrations.
• Constant Context & Communication Switching: Moving fluidly between deep technical design reviews and RFCs with engineers, and high‑level strategy discussions with GMs, Product Directors, Risk, and Operations.
• Cross‑Geo & Cross‑BU Collaboration: Working with teams across geographies, and across multiple business units, requiring strong remote collaboration, clarity in documentation, and cultural adaptability.

If you feel interested in these challenges and want to work on a highly engaged and talented team transforming how Debt works in Brazil and beyond, this is the place for you!

About Us

Nubank was founded in 2013 to free people from a bureaucratic, slow and inefficient financial system. Since then, through innovative technology and outstanding customer service, the company has been redefining people's relationships with money across Latin America. With operations in Brazil, Mexico, and Colombia, Nubank is today one of the largest digital banking platforms and technology-leading companies in the world. Nubank was listed on the NYSE in 2021 and was recently named one of Time Magazine's 100 Most Influential Companies. For more information, visit nu.com.br.

About the Role

At Nubank, we are entering a new chapter for our Investments business. We are moving away from traditional, siloed financial systems toward a global, scalable platform architecture that empowers millions of customers to grow their wealth. As a Staff Software Engineer, you will be a cornerstone of this transformation, ensuring our engineering culture and technical strategy can support the next decade of growth.

You will join the Investments Platforms team, where we build the core engines for custody, offers, and orders. Your mission is to "dehydrate" legacy systems by designing extensible, agnostic solutions that handle everything from fixed income to equities. This isn't just about writing code; it's about leading a cultural and technical revival, influencing your peers to adopt the best architectural practices while keeping the "plane flying" as we migrate critical flows.

Responsibilities

• Architect Scalable Platforms: Design and evolve core investment platforms (Custody, Orders, Offers) to be asset-agnostic and globally extensible.
• Drive Legacy Migration: Lead the construction of complex and innovative platforms to manage an Investments business in a scale unseen in the market.
• Technical Stewardship: Own the end-to-end technical lifecycle of high-impact projects, ensuring alignment with Nubank’s long-term business goals.
• Collaborate Cross-Functionally: Partner with Product, Design, and Operations to translate complex business requirements into elegant technical solutions.

Required Qualifications

• Platform Engineering Expertise: Proven track record of building and maintaining highly abstracted, extensible platforms (technical or business-focused) in a high-growth environment.
• Architecture at Scale: Deep experience designing distributed systems that handle high-concurrency and mission-critical financial flows.
• Resilient Leadership: Demonstrated ability to lead technical teams through periods of ambiguity, organizational change, or complex system migrations.

Nice to Have

• Investments Domain Knowledge: Prior experience with brokerage systems, asset classes (equities, fixed income), or financial regulatory environments.
• Cloud-Native Fluency: Deep familiarity with AWS or similar cloud providers and modern CI/CD practices.
• Pragmatic Problem Solving: Experience balancing the need for architectural purity with the necessity of delivering business value in a fast-paced setting.
  
  

Our Benefits

• Chance of earning equity at Nubank
• Food/ Meal Card (Vale-Refeição and/or Vale Alimentação)
• Public Transportation Commuting Benefit (Vale-Transporte)
• NuCare – Psychological, Financial and Legal Assistance Program
• Life Insurance
• Medical Plan
• Dental Plan
• NuLanguage – Language Course Program
• Nucleo - Our learning platform of courses
• Extended Parental Leave
• Daycare Allowance
• Parental Consultancy
• Work-from-home Allowance
• Gym Partnerships
• 30 days of paid vacation
• Relocation Assistance Package, if applicable

Location & Work Model

This role is based in São Paulo or Belo Horizonte, Brazil, on a Hybrid model (2 times per week) at our office.

Diversity & Inclusion / Equal Opportunity

At Nubank, we believe that diversity is essential to building the best products and services. We are committed to creating a welcoming work environment that respects and values diversity in all its forms, and we encourage people from all backgrounds to apply. We are proud to be an equal opportunity employer and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

For information on how we handle your data, please see our Candidate Privacy Notice on our careers site.

About Us

Nu is one of the largest digital financial platforms in the world, with more than 127 million customers across Brazil, Mexico, and Colombia. Guided by our mission to fight complexity and empower people, we are redefining financial services in Latin America and this is still just the beginning of the purple future we're building.

Listed on the New York Stock Exchange (NYSE: NU), we combine proprietary technology, data intelligence, and an efficient operating model to deliver financial products that are simple, accessible, and human.

Our impact has been recognized by global rankings such as Time 100 Companies, Fast Company’s Most Innovative Companies, and Forbes World’s Best Bank. Visit our institutional page https://international.nubank.com.br/careers/  

About the role

At Nubank, protecting customer data is a foundational element of our relationship with over 100 million users. As a Data Security Analytics Engineer, you will be responsible for designing and evolving the secure infrastructure that allows our teams to innovate at scale while maintaining the highest standards of privacy and compliance. You will lead the integration between Data Engineering and Security, ensuring that sensitive data is classified, governed, and monitored across our global analytics environment. Your mission is to balance risk reduction with high usability and performance, ensuring that data security is embedded by design in every pipeline and analytical layer.

You'll be responsible for

• Designing Secure Data Architectures: Independently build and evolve secure data ingestion, transformation, and analytics pipelines that support sensitive and regulated data across all analytics environments.
• Implementing Platform-Level Security: Drive the rollout of improvements such as classification tags, policy-driven access controls, and automated validations to reduce risk without compromising system performance.
• Governing Data Models: Own the design and evolution of data models and semantic views that enforce security and privacy requirements by default.
• Operationalizing Metadata and Lineage: Lead initiatives to track data lineage and sensitivity metadata across critical sources, enabling scalable governance and observability.
• Executing Audits and Remediation: Actively lead access reviews and remediation efforts, identifying gaps in least-privilege enforcement and proposing structural improvements.
• Monitoring and Detection: Design and maintain dashboards, logs, and alerts to detect anomalous data access, misuse patterns, or risky joins across analytics workloads.
• Incident Response and Investigation: Investigate complex access anomalies or security incidents, performing root cause analysis and proposing preventive controls in collaboration with Security Engineering and Data Platform teams.
• Building Internal Tooling: Maintain and develop tooling that enables secure data usage at scale, such as permission helpers and metadata validation frameworks.

We are looking for a person who has

• Data Engineering Expertise: Solid understanding of ETL/ELT fundamentals, data warehouses, and distributed systems such as BigQuery, Databricks, Kafka, or Redshift.
• Security Control Implementation: Strong working knowledge of encryption, masking, tokenization, classification, and fine-grained access control (RBAC/ABAC).
• Advanced Analytical Skills: High proficiency in SQL and experience designing analytical data models with a focus on performance, correctness, and sensitive data handling.
• Production-Grade Programming: Proficiency in writing maintainable and testable code in at least one language, such as Python, Scala, Clojure, or Go.
• Infrastructure and DevOps Knowledge: Familiarity with CI/CD pipelines, Infrastructure as Code, and containerized environments like Docker and Kubernetes.
• Data Observability: Experience in surfacing actionable metrics and logs for security monitoring and incident investigation.
• Strategic Communication: Ability to translate security and regulatory requirements into concrete engineering solutions while engaging with technical and non-technical stakeholders.
• Cloud Proficiency: Exposure to cloud security practices in large-scale environments, specifically AWS or GCP.

Location for this opportunity (City, Country)

• São Paulo, Brazil 
• Campinas, Brazil 
• Rio de Janeiro, Brazil 
• Belo Horizonte, Brazil 

Our Benefits

• Chance of earning equity at Nubank
• Food/ Meal Card (Vale-Refeição and/or Vale Alimentação)
• Public Transportation Commuting Benefit (Vale-Transporte)
• NuCare – Psychological, Financial and Legal Assistance Program
• Life Insurance
• Medical Plan
• Dental Plan
• NuLanguage – Language Course Program
• Nucleo - Our learning platform of courses
• Extended Parental Leave
• Daycare Allowance
• Parental Consultancy
• Work-from-home Allowance
• Gym Partnerships
• 30 days of paid vacation
• Relocation Assistance Package, if applicable

Work Model for this Role

Option 1: Hybrid 2-3 times/week: Our hybrid work model brings us to the office at least twice a week, on strategic days designed to maximize team connection and collaboration. For more details, visit https://building.nubank.com/nu-hybrid-work-model/ 

WHAT YOU’LL DO

As our customer base continues to grow with the excitement around BrazeAI, we’re expanding our team! Join our Forward-Deployed Data Scientist group of creative technical experts who partner with customers to ensure their success. In this role, you will:

• Collaborate with customer Analytics/BI teams and Braze colleagues on implementations, including use case definition, data integration, pipeline setup, and ML model configuration
• Extend product capabilities by improving architecture and developing reusable data pipelines, APIs, and components
• Work closely with the RL pipeline development team to refine and advance our reinforcement learning (self-learning) algorithms
• Contribute to shaping BrazeAI's product strategy and roadmap through customer-facing insights and technical expertise
• Provide ongoing technical expertise to ensure successful adoption, measurable outcomes, and long-term customer success

WHO YOU ARE

• Education: Bachelor’s degree in Computer Science, Data Science, Mathematics, Engineering, or a related field required; Master’s or PhD in a relevant technical discipline preferred
• Experience: 3–5+ years of hands-on experience as a Data Scientist, Machine Learning Engineer, or similar role working with large-scale data and production environments. Experience in customer-facing or consulting roles is strongly preferred
• Strong technical expertise: Proficient in Python (Pandas) and core ML libraries (TensorFlow, Keras, scikit-learn, CatBoost, XGBoost). Skilled in SQL for querying/manipulating datasets, with experience in machine learning pipelines and model deployment
• Engineering best practices: You write well-structured, modular, documented code; follow strong development practices (Git, CI/CD, testing frameworks, type-hinting, code reviews); and can build scalable, maintainable solutions
• Nice-to-have skills: Experience with DevOps tools (Airflow, Kubernetes, Terraform, GCP), data integration/ETL and pipeline optimization, or reinforcement learning algorithms
• Customer collaborator: Comfortable working directly with clients and cross-functional teams, aligning stakeholders, and translating technical concepts into clear business value
• Entrepreneurial problem-solver: You identify opportunities and risks early, troubleshoot obstacles, and drive creative solutions
• Continuous learner: You stay current with industry trends, explore new tools/technologies, and thrive in environments that push you to grow
• Clear communicator: Able to explain complex technical ideas persuasively to both technical and non-technical audiences

WHAT YOU’LL DO

As our customer base continues to grow with the excitement around BrazeAI, we’re expanding our team! Join our Forward-Deployed Data Scientist group of creative technical experts who partner with customers to ensure their success. In this role, you will:

• Collaborate with customer Analytics/BI teams and Braze colleagues on implementations, including use case definition, data integration, pipeline setup, and ML model configuration
• Extend product capabilities by improving architecture and developing reusable data pipelines, APIs, and components
• Work closely with the RL pipeline development team to refine and advance our reinforcement learning (self-learning) algorithms
• Contribute to shaping BrazeAI's product strategy and roadmap through customer-facing insights and technical expertise
• Provide ongoing technical expertise to ensure successful adoption, measurable outcomes, and long-term customer success

WHO YOU ARE

• Education: Bachelor’s degree in Computer Science, Data Science, Mathematics, Engineering, or a related field required; Master’s or PhD in a relevant technical discipline preferred
• Experience: 3–5+ years of hands-on experience as a Data Scientist, Machine Learning Engineer, or similar role working with large-scale data and production environments. Experience in customer-facing or consulting roles is strongly preferred
• Strong technical expertise: Proficient in Python (Pandas) and core ML libraries (TensorFlow, Keras, scikit-learn, CatBoost, XGBoost). Skilled in SQL for querying/manipulating datasets, with experience in machine learning pipelines and model deployment
• Engineering best practices: You write well-structured, modular, documented code; follow strong development practices (Git, CI/CD, testing frameworks, type-hinting, code reviews); and can build scalable, maintainable solutions
• Nice-to-have skills: Experience with DevOps tools (Airflow, Kubernetes, Terraform, GCP), data integration/ETL and pipeline optimization, or reinforcement learning algorithms
• Customer collaborator: Comfortable working directly with clients and cross-functional teams, aligning stakeholders, and translating technical concepts into clear business value
• Entrepreneurial problem-solver: You identify opportunities and risks early, troubleshoot obstacles, and drive creative solutions
• Continuous learner: You stay current with industry trends, explore new tools/technologies, and thrive in environments that push you to grow
• Clear communicator: Able to explain complex technical ideas persuasively to both technical and non-technical audiences

Principal Engineer, Mobile Platforms

The Opportunity:

This position is for an Engineer Principal (IC9) to join the Mobile Platforms BU.

Mobile Platforms is the BU responsible for Nubank’s entire mobile foundation: we design, build, and operate the platforms that power the Nubank app across all markets. The BU is organized in three business areas – App Foundations (core architecture, app startup, developer experience), App Enablement (navigation performance, Backend Driven Content/BDC, design system infra & Rosetta), and App Release (CI/CD, release train, observability, app analytics & data). Together, these areas provide the canonical Flutter + BDC architecture, tooling, and guardrails that enable product teams to ship a fast, reliable, and consistent app at global scale.

About Nubank's Engineering Culture:

We believe in small, independent teams, a process-light environment, and a culture of trust and collaboration. We made a strategic bet on Flutter and Server-Driven UI not just for technical reasons, but because they empower our engineers to work end-to-end and scale our organization. You will be a key steward and champion of this culture, driving technical decisions that reinforce our principles of autonomy and developer empowerment.  

What we have to offer:

• The opportunity to lead the technical direction of Nubank’s Mobile Platform – the foundational system that underpins the Nubank app for tens of millions of customers across all markets.
• Ownership of multi‑year, high‑visibility initiatives such as Mobile Destination Architecture, native code deprecation, app startup refactor, navigation performance, BDC evolution and App Excellence, with clear impact on company OKRs.
• A uniquely cross‑cutting scope across App Foundations, App Enablement and App Release – spanning architecture, developer experience, CI/CD, observability and data – allowing you to shape how the entire engineering org builds mobile products.
• Space to grow your principal‑level leadership: driving strategy, defining technical roadmaps, sponsoring other senior/principal engineers, and representing Mobile Platforms in cross‑company forums and executive discussions.
• A highly collaborative environment with top mobile, platform and experience design talent, where you will partner closely with Magic App, NuDS, Growth and markets teams to deliver a world‑class, consistent and high‑performance app.

Core Qualifications (What We're Looking For)

• 15+ years of software engineering experience, with a proven track record of designing, building, and operating large-scale mobile applications or platforms at an enterprise level.
• Has deep expertise in mobile architecture (Flutter/Dart, native bridges, modularization, mono-repo architectures) and can design end‑to‑end solutions spanning app startup, navigation, state management, and release lifecycle.
• Understands and can evolve BDC (Backend Driven Content) as Nubank’s main server‑driven UI platform, defining how BDC, Flutter and NuDS work together to enable safe, fast iteration without depending on store releases.
• Is capable of setting the technical vision for the three Mobile Platforms business areas (App Foundations, App Enablement, App Release), connecting architecture choices with company‑level goals such as App Excellence, Magic App and Destination Architecture.
• Has a strong track record of leading large, ambiguous cross‑org initiatives – e.g., native‑to‑Flutter/BDC migrations, app startup refactors, navigation performance programs, or observability/analytics redesigns – influencing dozens of squads and multiple BUs.
• Drives platform engineering at scale: defines canonical patterns, RFCs and reference implementations; creates reusable tools/libraries; and ensures that internal customers can adopt the platform with low friction and high quality.
• Is comfortable leading through influence: aligning PMs, EMs, Staff/Principal engineers and leadership on trade‑offs (performance vs. flexibility, platform vs. product), and making tough calls grounded in data, risk and long‑term sustainability.
• Invests heavily in technical leadership and mentorship, raising the bar for senior engineers across Mobile Platforms and product BUs, and building a strong culture around architecture reviews, design docs, and post‑incident learning.
• Cares deeply about observability, reliability and release health for mobile: tying together app metrics (startup, TTFD, crashes, jank), CI/CD, feature rollout (BDC + app releases) and on‑call practices into a coherent strategy.
• Is motivated by working on a horizontal, high‑impact platform that directly shapes how every experience in the Nubank app is built, released and monitored, across Brazil, Mexico, Colombia and future markets.

If you feel interested in these challenges and want to work on a very engaged and talented team, this is the place for you!

Opportunity

We are hiring a Principal Engineer to drive architectural consistency and technical excellence for Nubank’s Global Credit Card division—our largest business unit. You will operate across core platforms and product areas to ensure we are building globally optimal solutions. This is a high-influence leadership role where you will align technical strategy with business General Managers to maximize the impact of our platform investments.

2026's Vision (and how this role contributes)

In 2026, the Credit Card division will focus on maturing our core platform to support massive scale while maintaining rapid product innovation. This role is the "downward force" that identifies efficient architectural patterns and pushes them across the organization. By sitting across multiple business areas, you will prevent technical silos and ensure that every engineering investment reinforces a unified, scalable global architecture.

Mission

Design and operationalize a horizontal technical strategy for the Credit Card division so that:

• Architectural Fragmentation is Minimized: Global patterns are identified and disseminated, preventing teams from solving the same problems in isolation.
• Platform Investments are Maximized: High-leverage solutions are pushed "down the stack" to provide efficiency for all product consumers.
• Business & Tech are Seamlessly Aligned: You act as a direct partner to General Managers, translating complex technical trade-offs into business-centric outcomes.

Core Responsibilities

• Drive Cross-Platform Impact: Identify opportunities for globally optimal outcomes across the division’s core platforms and consumer products.
• Architectural Pattern Leadership: Monitor diverse projects to find commonalities; build and disseminate architectural patterns that elevate the entire organization.
• Strategic Mission Strategizing: Maintain the flexibility to jump into urgent, high-stakes technical investigations or strategic missions as needed.
• Business Stakeholder Partnership: Work independently with General Managers to align technical roadmaps with commercial goals.
• Technical Mentorship & Culture: Act as a peer to engineering leadership, raising the bar and mentoring staff engineers on cross-functional thinking.
• Horizontal Execution: Unlike a "narrow and deep" expert, you will maintain a wide orientation to ensure end-to-end technical health across the division.

Key Business & Engineering Metrics You Will Influence

• Global Efficiency: Reduction in redundant work across sub-divisions.
• Platform Adoption: Speed and depth of downward-pushed architectural solutions across product teams.
• Engineering Stability: Reduction in incidents caused by fragmented or inconsistent architectural patterns.
• Business Alignment: Successful delivery of strategic projects and high-stakes technical investigations.

Challenges and Opportunities (What You’ll Own)

• Bridging the Gap: You will solve the problem of siloed excellence by ensuring that the best solutions from one team become the standard for all.
• Influential Agency: You will have the mandate to push for global efficiency.

What You’ll Find in the Team

• High‑calibre engineers, including staff engineers and experienced engineering managers.
• Complex, high‑impact problems at scale: large merchant integrations, real‑time decisioning, strict SLOs and multi‑partner dependencies.
• Unprecedented Scope: The ability to influence the technical direction of Nubank’s most critical and high-volume division.

What You’ll Navigate

• Complexity of Scale: Balancing the immediate needs of specific product areas with the long-term goal of global platform efficiency.
• Communication Switching: Moving between deep technical RFCs with engineers and high-level strategy sessions with General Managers.
• Geographic Flexibility: Working across teams in the US and Brazil, requiring strong remote collaboration and cultural adaptability.

About Us

Nu was born in 2013 with the mission to fight complexity to empower people in their daily lives by reinventing financial services. We are one of the world’s largest digital banking platforms, serving millions of customers across Brazil, Mexico, and Colombia.

About the role

At AI Core, we are scaling the impact of our AI initiatives to become the primary driver of Nubank’s most critical decision systems. We are seeking an Lead Machine Learning Engineer (Applied AI Scientist) to lead high-impact research projects that bridge the gap between state-of-the-art AI and production-grade financial systems. You will be responsible for solving complex, ambiguous problems using Deep Learning and Foundation Models, ensuring our architectures are scalable, efficient, and driving measurable business results.

As an Applied AI Scientist (MLE), you’re expected to:

1. Research Execution & Technical Leadership (Complexity & Autonomy)

• Lead and execute complex applied research initiatives independently, focusing on building and optimizing architectures (e.g., Transformers, GNNs) that can be deployed across critical use cases like Credit, RecSys, GenAI, and real-time inference.
• Address difficult and ambiguous modeling problems that require coordination across various stakeholders (Data, Infra, Product), delivering innovative solutions with a clear focus on medium-term impact.
• Bridge the gap between research and production by designing architectures that respect MLOps constraints, ensuring models are optimized for latency, interpretability, and cost-efficiency.

1. Strategic Impact & Collaboration (Impact)

• Develop and deliver innovative solutions that address project-level challenges, focusing on pushing the latest platform and AI research improvements into downstream production models.
• Actively participate in cross-functional collaborations, ensuring that research outputs are seamlessly integrated into Nubank's decision-making engines.
• Establish technical standards within the AI Core team for experimentation, model evaluation, and code quality, inspiring peers to raise their performance.

1. Mentorship & Function Contribution (Function Contribution)

• Serve as a technical mentor for senior engineers and researchers, providing guidance on deep learning fundamentals, problem formulation, and research methodology.
• Actively contribute to the function's growth by participating in mandatory activities like hiring (interview panels) and leading internal task forces to improve our ML lifecycle.
• Contribute to thought leadership by participating in research collaborations or internal papers that align with Nubank’s strategic goals.

What are we looking for?

• Professional Experience: 5-7+ years in applied AI/ML, with a proven track record of delivering research-driven systems into production environments
• Technical Mastery:
  • Deep expertise in Deep Learning architectures (Transformers, Multimodal, or GNNs).
  • Strong coding skills in Python and proficiency with frameworks like PyTorch, JAX, or TensorFlow.
  • Solid understanding of MLOps and the constraints of deploying models at scale.
• Problem Solving: Sophisticated skills in ML problem formulation and the ability to navigate uncertainty when data is messy or unavailable.
• Communication: Ability to communicate complex technical concepts to both technical peers and cross-functional stakeholders, ensuring alignment and buy-in.
• Analytical Capacity: Experience with large-scale experimentation and A/B testing to validate research hypotheses.

Our Benefits

• Chance of earning equity at Nubank
• Food/ Meal Card (Vale-Refeição and/or Vale Alimentação)
• Public Transportation Commuting Benefit (Vale-Transporte)
• NuCare – Psychological, Financial and Legal Assistance Program
• Life Insurance
• Medical Plan
• Dental Plan
• NuLanguage – Language Course Program
• Nucleo - Our learning platform of courses
• Extended Parental Leave
• Daycare Allowance
• Parental Consultancy
• Work-from-home Allowance
• Gym Partnerships
• 30 days of paid vacation
• Relocation Assistance Package, if applicable

Work Model for this Role

Hybrid 2-3 times/week: Our hybrid work model brings us to the office at least twice a week, on strategic days designed to maximize team connection and collaboration. For more details, visit https://building.nubank.com/nu-hybrid-work-model/

The Role

We’re looking for our first engineer on the ground in Brazil — a builder at heart who thrives on ownership and impact. This isn’t just another engineering role; it’s a chance to lay the foundations of our presence in Latin America while shaping the future of telecom globally. 

At Gigs, you won’t just be integrating APIs or solving backend puzzles (though you’ll do plenty of that). You’ll be building the backbone of products that empower millions to connect in new ways. From untangling the complexities of telecom networks to crafting elegant, scalable solutions, your work will directly influence how companies across industries bring connectivity to life.

As the first engineering hire in Brazil, you’ll also be a culture-setter: collaborating closely with teams in Europe and the US, helping us define best practices locally, and proving that world-class innovation doesn’t stop at Silicon Valley or Berlin.

We’ve already built a stellar early team in Brazil, with experience from top local companies like Nubank and other high-performing scale-ups. We’re now looking for the first engineer on the ground to help define how we build, ship, and operate locally.

If you’re excited by the idea of rolling up your sleeves, navigating the messy but exhilarating challenge of building from scratch, and leaving a visible mark on both our company and an entire industry, this role was made for you.

What You Will Do

• Own complex problems end-to-end, from designing and building robust, scalable solutions to ensuring a high standard of quality across our engineering practice.
• Integrate with and maintain a wide range of APIs and external systems, primarily in Ruby. You'll architect solutions that abstract diverse external behaviors and manage the complexities of asynchronous flows, distributed state synchronization, and dynamic data validation.
• Tackle the unique challenge of building a new telco operating system. This involves deep integration with existing telecom networks and a high degree of cross-organizational collaboration to push projects forward and develop innovative products.
• Maintain the reliability of our systems, building for observability and participating in incident response. This includes coordinating advanced retry logic and contributing to support rotations for intricate external system interactions.

What We Are Looking For

• You have experience designing APIs and building backend services. You enjoy thinking about systems, and you care about the quality of the software you produce.
• Strong English communication skills: You can clearly explain complex ideas, collaborate across global teams, and thrive in a company where English is the common language.
• Grit and Technical Ingenuity: You possess the perseverance to design robust solutions for complex, evolving external systems, skillfully navigating dynamic behaviors through systematic debugging and experimentation.
• Strategic Collaborator: You adeptly navigate large organizational structures, collaborating effectively with diverse teams and stakeholders, and understanding the intricate business context behind commercial offerings.
• Eager to Master New Domains: You have a strong desire to learn and quickly grasp new domains, including intricate regulatory flows and industry specifics, to build stable and compliant solutions