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).

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Mission

Reporting to a Director, Field Engineering, the Manager, Field Engineering will help lead a team of Solutions Architects (SAs) for the of Databricks’ Field Engineering team in Latam. You will lead and promote a dynamic team focusing on enterprise software, big data/analytics, data engineering, data science, data warehousing and generative AI. Leading the technical sales team, you will partner with Sales (and other Field Engineering technical  segments)  to increase revenue and help customers become wildly successful. You'll scale and maintain an outstanding Field Engineering team that is efficient in its operations to help accelerate Databricks' growth in the market.

The Impact You Will Have

• You will hire, train, and grow a team of Solutions Architects for a company in high-growth mode.
• Make your customers extremely successful with Databricks and provide outsized value to their businesses.
• You will maintain a robust hiring pipeline at all times.
• Establish relationships across the business to make your customers and team successful.
• Keep your team of SAs ahead of the technical curve. An SA adds value by maintaining advanced knowledge of the technology stack. You will make sure that your team is continuously learning and working to provide our customers with the most comprehensive solutions for their needs

What We Look For

• Proven experience building and leading technical pre(or post)-sales teams - hiring, on-boarding, and enabling pre(or post)-sales professionals
• 10+ years of experience in the data space with a technical product (i.e. data warehousing, big data, machine learning, or more recently with generative AI).
• Trusted advisor to technical executives that guide strategic data infrastructure decisions.
• Lead a team through best practices for technical qualification, technical validations, architecture discussions, and product demonstrations.
• Establish and foster external partnerships with systems integrators (SIs) and independent software vendors (ISVs) that maximize and accelerate client success.
• Strong understanding of consumption-driven business models and the recipes for long term growth and success
• Experience hiring candidates that continually raise the bar, ramping them up to be successful, and promoting into larger roles.
• Create a positive morale for the team and help foster a working relationship between Field Engineering, Sales, and other important internal cross-functional teams.
• Experience working cross-functionally with other teams such as Sales, Product Management, Engineering, and Customer Success.
• Must be technical enough to earn the trust of Engineering talent and leadership at Databricks.
• Demonstrated architectural influence. Able to influence and review complex architectures; guiding your team and customers towards ideal solutions - that scale.

About us 

Nubank was founded in 2013 with the mission of fighting complexity to empower people in their daily lives by reinventing financial services. Today, we are one of the largest digital banking platforms in the world, serving millions of customers across Brazil, Mexico, and Colombia. For more information, visit our careers page: https://international.nubank.com.br/careers/ 

About the team 

The Governance, Risk and Compliance (GRC) team enables Nubank to remain compliant with legal, regulatory, and internal requirements, while continuously identifying, classifying, and monitoring risks and providing strategic insights and performance evaluation to leadership.

The GRC squad collaborates with multidisciplinary teams to align our technology security strategy with Nubank’s overall business objectives, ensuring that identified risks are mitigated and that risk-based decision-making is enabled within and beyond the IT & Security Business Unit.

About the role

You will be responsible for acting as a technical reference in security, certifications, and internal controls, serving as a bridge between engineering, risk, audit, and business stakeholders.
You will define strategies, support risk-based decision-making, and ensure that security and compliance requirements are effectively embedded into processes, systems, and products.

Key responsibilities

• Act as a senior technical and governance reference across security, certifications, risk, and internal controls, influencing strategy.
• Identify control gaps and improvement opportunities in technical procedures required for certification and recertification processes  (e.g., ISO 27001, PCI-DSS).
• Develop and maintain strong partnerships with business and technical leaders to orchestrate audits, assessments, and remediation plans in a risk-based and scalable way.
• Collaborate with technical teams to define action plans that ensure adherence to regulatory requirements and internal policies.

• Conduct assessments of internal controls, ensuring adherence to internal policies, legal requirements, and industry standards.
• Identify gaps and improvement opportunities in the internal controls landscape and lead control reviews, ensuring timely resolution of issues.
• Work closely with Risk teams to align on the mitigation of identified risks.
• Support responses to audit requests, regulatory inquiries, and due diligence from business partners.

• Partner with Engineering, Product, IT, and global teams to integrate compliance and security requirements into processes and systems.

• Define and monitor KRIs and KPIs, delivering forward-looking, data-driven insights to senior management and Committees.
• Drive continuous improvement and scale, simplifying processes and strengthening Nubank’s Security Maturity as the company grows globally.

Qualification Requirements

• Solid experience in information security, with strong knowledge of frameworks such as PCI-DSS, ISO 27000 family, NIST, and similar.
• Prior experience with security certification processes and/or internal controls, compliance, and audit support.
• Excellent executive communication skills, capable of translating complex topics into clear, actionable insights for senior leadership and committees.
• Experience operating in regulated and global environments, including interaction with auditors and regulators.
• Bachelor’s degree in Engineering, Technology, Security Information, Risk Management or related fields.
• Familiarity with using AI and automation (e.g., machine learning, generative AI, or LLM-based tooling) to enhance security compliance use cases.
• Knowledge of the regulatory landscape relevant to financial services, such as SOx, BACEN, CVM, CNBV, ANBIMA, SEC, and related regulations.
• Hands-on experience with cloud environments (e.g., AWS, GCP) and implementing security controls in these contexts.
• Advanced English (written and verbal) required.

Nice to have Requirements

• Relevant certifications such as CRISC, CISA, Security+, CISSP, or CISM are considered a strong plus.

International experience is highly desirable.

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/

About us 

Nubank was founded in 2013 with the mission of fighting complexity to empower people in their daily lives by reinventing financial services. Today, we are one of the largest digital banking platforms in the world, serving millions of customers across Brazil, Mexico, and Colombia. For more information, visit our careers page: https://international.nubank.com.br/careers/ 

About the team 

The Governance, Risk and Compliance (GRC) team enables Nubank to remain compliant with legal, regulatory, and internal requirements, while continuously identifying, classifying, and monitoring risks and providing strategic insights and performance evaluation to leadership.

The GRC squad collaborates with multidisciplinary teams to align our technology security strategy with Nubank’s overall business objectives, ensuring that identified risks are mitigated and that risk-based decision-making is enabled within and beyond the IT & Security Business Unit.

About the role

You will be responsible for acting as a technical reference in security, certifications, and internal controls, serving as a bridge between engineering, risk, audit, and business stakeholders.
You will define strategies, support risk-based decision-making, and ensure that security and compliance requirements are effectively embedded into processes, systems, and products.

Key responsibilities

• Act as a senior technical and governance reference across security, certifications, risk, and internal controls, influencing strategy.
• Identify control gaps and improvement opportunities in technical procedures required for certification and recertification processes  (e.g., ISO 27001, PCI-DSS).
• Develop and maintain strong partnerships with business and technical leaders to orchestrate audits, assessments, and remediation plans in a risk-based and scalable way.
• Collaborate with technical teams to define action plans that ensure adherence to regulatory requirements and internal policies.

• Conduct assessments of internal controls, ensuring adherence to internal policies, legal requirements, and industry standards.
• Identify gaps and improvement opportunities in the internal controls landscape and lead control reviews, ensuring timely resolution of issues.
• Work closely with Risk teams to align on the mitigation of identified risks.
• Support responses to audit requests, regulatory inquiries, and due diligence from business partners.

• Partner with Engineering, Product, IT, and global teams to integrate compliance and security requirements into processes and systems.

• Define and monitor KRIs and KPIs, delivering forward-looking, data-driven insights to senior management and Committees.
• Drive continuous improvement and scale, simplifying processes and strengthening Nubank’s Security Maturity as the company grows globally.

Qualification Requirements

• Solid experience in information security, with strong knowledge of frameworks such as PCI-DSS, ISO 27000 family, NIST, and similar.
• Prior experience with security certification processes and/or internal controls, compliance, and audit support.
• Excellent executive communication skills, capable of translating complex topics into clear, actionable insights for senior leadership and committees.
• Experience operating in regulated and global environments, including interaction with auditors and regulators.
• Bachelor’s degree in Engineering, Technology, Security Information, Risk Management or related fields.
• Familiarity with using AI and automation (e.g., machine learning, generative AI, or LLM-based tooling) to enhance security compliance use cases.
• Knowledge of the regulatory landscape relevant to financial services, such as SOx, BACEN, CVM, CNBV, ANBIMA, SEC, and related regulations.
• Hands-on experience with cloud environments (e.g., AWS, GCP) and implementing security controls in these contexts.
• Advanced English (written and verbal) required.

Nice to have Requirements

• Relevant certifications such as CRISC, CISA, Security+, CISSP, or CISM are considered a strong plus.

International experience is highly desirable.

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/

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