About the Team

At DoorDash, people are our most important asset. We build the capability to help our leaders make more informed decisions on identifying, attracting, developing, and retaining talent. We’re looking for a Data Engineer to help us scale our analytics alongside DoorDash’s enormous growth. Come build, experiment, and grow while shaping a best-in-class data team at DoorDash.

About the Role

DoorDash is seeking an experienced data engineer to join our People Intelligence team supporting HR functions. We’re a data-driven organization, empowering local economies and our people to do the best work of their careers. This role will get in on the ground floor helping to build and support the data infrastructure powering our data-driven insights to attract, develop, and retain the best talent to power and grow DoorDash. You will support and scale our people reporting and analytics within the People Team. In this role, you will partner with a team of analysts, scientists, and engineers to develop the tools and insights for our people and decision-makers. Come help us enable our business to garner insights and be a builder, engineer, consultant, and security/privacy advocate. 

You’re excited about this opportunity because you will…

• Architect and engineer our data infrastructure for People data
• Design and implement data warehouse schemas, tables, and views to provide a source of true datasets
• Develop ETL pipelines using tools such as Airflow and dbt for data profiling, cleaning, and transformation
• Support self-service analytics projects by creating secure data structures
• Provide underlying data support for all People metrics (recruiting pipelines, attrition, employee engagement, diversity and inclusion, compensation and benefits, etc.)
• Ensure data integrity across all People data
• Rigorously document system requirements and configuration to build operational excellence
• Understand and identify opportunities to improve, working closely with cross-functional teams
• Train peers on new processes and functionality as needed
• Help build data governance with a single source of truth

We’re excited about you because you have…

• 5+ years of industry experience in data engineering or software engineering
• Experience deploying cloud architecture like dbt, Airflow, and Databricks in AWS
• Expert SQL skills and experience writing complex queries
• Proficiency authoring Airflow DAGs
• Experience with data observability and monitoring frameworks
• Strong business thinker, able to use ‘first principles’ to solve challenging business problems at their root level
• Data-driven, able to analyze data with strong attention to detail and accuracy, and passionate about telling the story behind the data hence turning the data into insight

Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only

We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.

The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey

Engineering the future of logistics – from Brazil to the world

This role is part of our commitment to increase the representation of women in technology at DoorDash Brazil. We strongly encourage candidates who identify as women to apply.

We are building an engineering team where women have equitable access to opportunity, leadership, and long-term career growth within our São Paulo hub.

DoorDash is building the world’s most reliable on-demand logistics platform. Brazil is a strategic and growing engineering hub for DoorDash. Based in São Paulo, our teams build and scale systems that power millions of users globally. This is an opportunity to shape world-class logistics technology while growing your career in Brazil.This is a unique opportunity to join one of Silicon Valley’s fastest-growing companies, while staying close to home.

Data is at the foundation of DoorDash's success. The Data Engineering team builds database solutions for various use cases including reporting, product analytics, marketing optimization and financial reporting. By implementing pipelines, data structures, and data warehouse architectures; this team serves as the foundation for decision-making at DoorDash.

We're looking for a Data Engineer to be a technical powerhouse to help us scale our data infrastructure, automation and tools to meet growing business needs.

You’re excited about this opportunity because you will…

• Work with business partners and stakeholders to understand data requirements
• Work with engineering, product teams and 3rd parties to collect required data
• Design, develop and implement large scale, high volume, high performance data models and pipelines for Data Lake and Data Warehouse
• Develop and implement data quality checks, conduct QA and implement monitoring routines Improve the reliability and scalability of our ETL processes
• Manage a portfolio of data products that deliver high-quality, trustworthy data
• Help onboard and support other engineers as they join the team

**Interviews will be conducted in English**

We’re excited about you because…

• 2+ years of professional experience
• 2+ years experience working in data engineering, business intelligence, or a similar role Proficiency in programming languages such as Python/Java
• 2+ years of experience in ETL orchestration and workflow management tools like Airflow, Flink, Oozie and Azkaban using AWS/GCP
• Expert in Database fundamentals, SQL and distributed computing
• 2+ years of experience with the Distributed data/similar ecosystem (Spark, Hive, Druid, Presto) and streaming technologies such as Kafka/Flink.
• Experience working with Snowflake, Redshift, PostgreSQL and/or other DBMS platforms Excellent communication skills and experience working with technical and non-technical teams Knowledge of reporting tools such as Tableau, Superset and Looker
• Comfortable working in fast paced environment, self starter and self organizing
• Ability to think strategically, analyze and interpret market and consumer information
• You must be located near one of our engineering hubs indicated above

Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only

We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.

The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey

Engineering the future of logistics – from Brazil to the world

This position is dedicated to professionals with disabilities (PCD), in accordance with Brazilian Law No. 8.213/91 (Lei de Cotas).

At DoorDash, we believe diverse teams build better products. We are committed to providing an accessible, inclusive workplace with equal opportunities for all.

Reasonable accommodations are available throughout the hiring process and in the work environment. If you require any accommodation, please inform your recruiter at the beginning of the process.

Medical documentation may be requested in accordance with applicable legislation.

DoorDash is building the world’s most reliable on-demand logistics platform. Brazil is a strategic and growing engineering hub for DoorDash. Based in São Paulo, our teams build and scale systems that power millions of users globally. This is an opportunity to shape world-class logistics technology while growing your career in Brazil.This is a unique opportunity to join one of Silicon Valley’s fastest-growing companies, while staying close to home.

Data is at the foundation of DoorDash's success. The Data Engineering team builds database solutions for various use cases including reporting, product analytics, marketing optimization and financial reporting. By implementing pipelines, data structures, and data warehouse architectures; this team serves as the foundation for decision-making at DoorDash.

We're looking for a Data Engineer to be a technical powerhouse to help us scale our data infrastructure, automation and tools to meet growing business needs.

You’re excited about this opportunity because you will…

• Work with business partners and stakeholders to understand data requirements
• Work with engineering, product teams and 3rd parties to collect required data
• Design, develop and implement large scale, high volume, high performance data models and pipelines for Data Lake and Data Warehouse
• Develop and implement data quality checks, conduct QA and implement monitoring routines Improve the reliability and scalability of our ETL processes
• Manage a portfolio of data products that deliver high-quality, trustworthy data
• Help onboard and support other engineers as they join the team

**Interviews will be conducted in English**

We’re excited about you because…

• 2+ years of professional experience
• 2+ years experience working in data engineering, business intelligence, or a similar role Proficiency in programming languages such as Python/Java
• 2+ years of experience in ETL orchestration and workflow management tools like Airflow, Flink, Oozie and Azkaban using AWS/GCP
• Expert in Database fundamentals, SQL and distributed computing
• 2+ years of experience with the Distributed data/similar ecosystem (Spark, Hive, Druid, Presto) and streaming technologies such as Kafka/Flink.
• Experience working with Snowflake, Redshift, PostgreSQL and/or other DBMS platforms Excellent communication skills and experience working with technical and non-technical teams Knowledge of reporting tools such as Tableau, Superset and Looker
• Comfortable working in fast paced environment, self starter and self organizing
• Ability to think strategically, analyze and interpret market and consumer information
• You must be located near one of our engineering hubs indicated above

Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only

We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.

The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey

Engineering the future of logistics – from Brazil to the world

DoorDash is building the world’s most reliable on-demand logistics platform. Brazil is a strategic and growing engineering hub for DoorDash. Based in São Paulo, our teams build and scale systems that power millions of users globally. This is an opportunity to shape world-class logistics technology while growing your career in Brazil.This is a unique opportunity to join one of Silicon Valley’s fastest-growing companies, while staying close to home.

Data is at the foundation of DoorDash's success. The Data Engineering team builds database solutions for various use cases including reporting, product analytics, marketing optimization and financial reporting. By implementing pipelines, data structures, and data warehouse architectures; this team serves as the foundation for decision-making at DoorDash.

We're looking for a Data Engineer to be a technical powerhouse to help us scale our data infrastructure, automation and tools to meet growing business needs.

You’re excited about this opportunity because you will…

• Work with business partners and stakeholders to understand data requirements
• Work with engineering, product teams and 3rd parties to collect required data
• Design, develop and implement large scale, high volume, high performance data models and pipelines for Data Lake and Data Warehouse
• Develop and implement data quality checks, conduct QA and implement monitoring routines Improve the reliability and scalability of our ETL processes
• Manage a portfolio of data products that deliver high-quality, trustworthy data
• Help onboard and support other engineers as they join the team

**Interviews will be conducted in English**

We’re excited about you because…

• 2+ years of professional experience
• 2+ years experience working in data engineering, business intelligence, or a similar role Proficiency in programming languages such as Python/Java
• 2+ years of experience in ETL orchestration and workflow management tools like Airflow, Flink, Oozie and Azkaban using AWS/GCP
• Expert in Database fundamentals, SQL and distributed computing
• 2+ years of experience with the Distributed data/similar ecosystem (Spark, Hive, Druid, Presto) and streaming technologies such as Kafka/Flink.
• Experience working with Snowflake, Redshift, PostgreSQL and/or other DBMS platforms Excellent communication skills and experience working with technical and non-technical teams Knowledge of reporting tools such as Tableau, Superset and Looker
• Comfortable working in fast paced environment, self starter and self organizing
• Ability to think strategically, analyze and interpret market and consumer information
• You must be located near one of our engineering hubs indicated above

Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only

We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.

The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey

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

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

Somos o acelerador que impulsiona o crescimento na Ibero-América, combinando a excelência global em engenharia da EPAM com a experiência regional e a proximidade cultural da NEORIS. Ajudamos as organizações a escalar, modernizar e avançar em sua transformação digital por meio de soluções em Cloud, Data & Analytics, Inteligência Artificial, Cibersegurança, Automação Inteligente, Consultoria Estratégica e Engenharia de Software.

Respaldados por mais de 60.000 profissionais em mais de 55 países e por um sólido modelo Nearshore, conectamos capacidades globais com confiança local para gerar impacto real, crescimento sustentável e resultados de alto valor para nossos clientes.

Acreditamos que a diversidade impulsiona a inovação. Por isso, todas as nossas oportunidades estão abertas para todas as pessoas, independente de gênero, raça, idade, identidade, orientação ou condição. 

Modelo de atuação: REMOTO - BR

Formato de contratação: CLT

Descrição do Cargo

Responsabilidades

• Realizar testes end-to-end em aplicações Salesforce, garantindo aderência aos requisitos funcionais e técnicos.
• Validar integrações, fluxos de dados e apoiar UAT, releases e entrega contínua.
• Atuar de forma colaborativa com times de desenvolvimento, negócio e stakeholders em ambiente ágil.

Requisitos

• Experiência prática com testes na plataforma Salesforce
• Vivência em testes manuais (UI, funcionais e regressivos)
• Experiência com testes de APIs REST/SOAP (Postman ou ferramentas similares)
• Conhecimento sólido em SDLC/STLC e metodologias ágeis
• Capacidade de produzir documentação de testes clara e estruturada
• Perfil analítico, organizado e com forte habilidade em resolução de problemas
• Experiência com automação de testes 

Oferecemos

• Vale Refeição e Vale Alimentação: Benefícios mensais para suas despesas com alimentação, dentro e fora de casa. 
• Previdência Privada: Planejamento de futuro com contribuição complementar à aposentadoria. 
• Plano de Saúde: Cobertura médica de alta qualidade para você e seu dependente legal. 
• Plano Odontológico: Cuidados odontológicos completos, com ampla rede de atendimento. 
• Seguro de Vida: Proteção e segurança para você e seus entes queridos. 
• Aulas de Inglês/Espanhol: Incentivo ao aprendizado de idiomas. 
• Wellhub: Benefícios e descontos em academias e programas de bem-estar. 
• Auxílio Creche: Suporte financeiro para despesas com educação infantil. 
• Neoris Global Campus: Plataforma de desenvolvimento com oportunidades contínuas de aprendizado e crescimento profissional. 

Te convidamos a nos conhecer em http://www.neoris.com, Facebook, LinkedIn, Twitter o Instagram: @NEORIS.

#LI-NP1

Somos o acelerador que impulsiona o crescimento na Ibero-América, combinando a excelência global em engenharia da EPAM com a experiência regional e a proximidade cultural da NEORIS. Ajudamos as organizações a escalar, modernizar e avançar em sua transformação digital por meio de soluções em Cloud, Data & Analytics, Inteligência Artificial, Cibersegurança, Automação Inteligente, Consultoria Estratégica e Engenharia de Software.

Respaldados por mais de 60.000 profissionais em mais de 55 países e por um sólido modelo Nearshore, conectamos capacidades globais com confiança local para gerar impacto real, crescimento sustentável e resultados de alto valor para nossos clientes.

Acreditamos que a diversidade impulsiona a inovação. Por isso, todas as nossas oportunidades estão abertas para todas as pessoas, independente de gênero, raça, idade, identidade, orientação ou condição. 

Localidade: São Paulo/Pinheiros

Modelo de atuação: Híbrido

Formato de contratação: CLT

Descrição do Cargo

Estamos em busca de um(a) Data Engineer com sólida experiência em projetos de migração de dados, plataformas modernas de dados e arquiteturas em nuvem. O profissional será responsável por atuar na modernização de ambientes, com foco em soluções baseadas em Databricks e Microsoft Azure.

Responsabilidades

• Projetar, desenvolver e manter pipelines de dados escaláveis (batch e streaming).
• Atuar em projetos de migração de dados (on-premises para cloud, modernização de plataformas, etc.).
• Desenvolver e otimizar soluções utilizando Databricks.
• Construir processos de ETL/ELT seguindo boas práticas de engenharia de dados.
• Trabalhar em conjunto com times técnicos e de negócio para levantamento de requisitos.
• Garantir qualidade, governança e segurança dos dados.
• Monitorar, otimizar performance e custo das soluções em nuvem.
• Investigar e resolver problemas em pipelines de dados em produção.
• Documentar arquiteturas, processos técnicos e estratégias de migração.

Requisitos

• Formação superior em Ciência da Computação, Engenharia, Sistemas de Informação ou áreas correlatas.
• Experiência anterior como Data Engineer.
• Experiência em migração de dados (ambientes legados para cloud ou entre plataformas).
• Experiência prática com Databricks.
• Conhecimento em Microsoft Azure, incluindo: Azure Data Factory, Azure Data Lake Storage, Azure Synapse Analytics e Azure SQL.
• Domínio de SQL e modelagem de dados.
• Experiência com Python ou Scala.
• Conhecimento em Delta Lake e arquitetura Lakehouse.

Diferenciais

• Certificação em Databricks.
• Experiência com CI/CD para pipelines de dados.
• Conhecimento em Infraestrutura como Código (Terraform, ARM).
• Experiência com otimização de performance em Spark.
• Conhecimento em governança de dados.

Oferecemos

• Vale Refeição e Vale Alimentação: Benefícios mensais para suas despesas com alimentação, dentro e fora de casa. 
• Previdência Privada: Planejamento de futuro com contribuição complementar à aposentadoria. 
• Plano de Saúde: Cobertura médica de alta qualidade para você e seu dependente legal. 
• Plano Odontológico: Cuidados odontológicos completos, com ampla rede de atendimento. 
• Seguro de Vida: Proteção e segurança para você e seus entes queridos. 
• Aulas de Inglês/Espanhol: Incentivo ao aprendizado de idiomas. 
• Wellhub: Benefícios e descontos em academias e programas de bem-estar. 
• Auxílio Creche: Suporte financeiro para despesas com educação infantil. 
• Neoris Global Campus: Plataforma de desenvolvimento com oportunidades contínuas de aprendizado e crescimento profissional. 

Te convidamos a nos conhecer em http://www.neoris.com, Facebook, LinkedIn, Twitter o Instagram: @NEORIS.

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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

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. For more information, visit our institutional page https://international.nubank.com.br/careers/

ML Engineering at Nubank

Data Science is essential to every part of the business at Nubank, since Day 1. Most areas of the company use data science to some extent. ML Engineers are key to connecting ML models and ML-enabled systems to the rest of our infrastructure, while making sure that they work properly, delivering value to our customers. 

As a Machine Learning Engineer, you’re expected to

• Interact with other team members to understand how to best apply data science and artificial intelligence to Nubank’s problems;
• Help monitor and maintain models and ML systems, making sure they are working well as measured by performance, operational and business metrics;
• Help deploy ML models both in batch and real-time scenarios. This may include building pipelines, constructing features and integrating models to other systems;
• Help build and maintain tooling and platforms to scale operations across multiple teams; 
• Be familiar with modeling and statistics concepts;
  
  

Our ideal candidate

• Has extensive programming experience and is familiar with modern development techniques;
• Has experience creating, deploying and maintaining ML models and ML-enabled systems using modern frameworks;
• Understands the most common failure modes in ML-enabled systems and knows how to avoid and/or mitigate those; 
• Is familiar with all stages of the ML model lifecycle, from inception to deployment and steady-state operation;
• Is familiar with cloud-based services from vendors such as AWS, GCP and Azure.
• Is familiar with software engineering and architecture principles and how they enable sustainable and maintainable systems;
• Is familiar with data engineering routines, pipelines and job scheduling frameworks;
• Is able to navigate complex mathematical and analytical environments when needed;
  
  

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
  
  

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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The Wow

We are now officially looking for our  Data Engineers in Sao Paulo to join our international teams! This role will contribute in designing and developing our platform to fulfil the business needs and to also improve our systems. Within this capacity you will have the chance to design new data pipelines, maintain platforms hosted on data streams for batch-loading and real-time visualisations.

Who are we looking for? 

• Maintaining and evolving our existing data plataform.  
• Follow and mentor engineers on data modelling following standards e.g. Inmon, Kimball, Data Vault.
• Ensuring data quality by verifying data consistency and accuracy.
• Keeping up to date on research and development of new technologies and techniques.
• Be able to troubleshoot and solving problems and incidents.
• Full ownership on projects and tasks assigned together with being able to work within a Team.
• Able to document well processes and perform knowledge sharing sessions.

Some Key Requirements of what we would be looking for:

• Knowledge on AWS Services like S3/Lambda/Glue/DMS/RDS;  
• Experience with Snowflake or Redshift as a modern cloud database technology;  
• Experience with cost-efficient SQL designs and query optimizationSQL
• Experience with orchestrating data pipelines using tools like Airflow;  
• Familiarity with object-oriented programming and abstraction principles.  
• Experienced with in Data Warehousing concepts and data modelling techniques such as Inmon, Kimball, or Data Vault;  

It would be extra awesome if you also have experience with:

• Proficient in data streaming technologies such as Kafka
• Experienced with software versioning tools like GIT
• Skilled in infrastructure scripting using Terraform
• Hands-on expertise in data monitoring and visualization tools 
• Experienced in scripting with PowerShell and Unix

Why Betsson Group? 

We get it, everyone is hiring! So what makes us different?

Much like a rollercoaster, life at Betsson Group is fast-paced, full of twists and turns, and always exciting. With more than 2,800 colleagues representing over 75 nationalities across 21 offices worldwide - including 1,500 at our operational headquarters in Malta - every day brings new challenges and opportunities to grow. It may not be for the faint-hearted, but if you thrive on innovation, enjoy pushing boundaries and want to be part of a diverse, international team, then you’ll fit right in at Betsson.

Learn more here about why you should seriously consider becoming our next Betssonite!

Hybrid Working Model 

We believe to continue our 60 years of successful growth, collaboration is the key! Our hybrid working environment means, you will be based on-site in the office on Mondays, Wednesdays and Fridays and have the opportunity to work from home on Tuesdays and Thursdays – allowing you to connect with your colleagues both in person and colleagues from our international hubs in a sustainable way.  

If you are interested to learn more, please apply with your CV in English.

By submitting your application, you understand that your personal data will be processed as set out in our Privacy Policy

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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.

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Sr. Technical Escalation Manager

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

At Databricks, we are passionate about empowering data teams to tackle the world’s most challenging problems — from bringing the next mode of transportation to reality to accelerating the development of medical breakthroughs. We achieve this by building and operating the world’s leading data and AI infrastructure platform, enabling our customers to leverage deep data insights and enhance their business. Founded by engineers — and customer-obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

As a Technical Escalation Manager, you will be responsible for coordinating efforts to resolve critical customer issues, customer-impacting situations, and major incidents. You will work with multiple internal teams (engineering, product management, Customer Success Engineering, and Support) and external partners to effectively resolve these customer-impacting situations.

The impact you will have here:

• Manage support escalation in partnership with engineering, product management, Customer Success Engineering, Support, Customers, and Partners until resolution.
• Achieve customer satisfaction by ensuring incidents or escalations (and related cases)  are well and fully documented with the timely execution of action items.
• Create and execute a data-driven customer recovery plan for every escalation and incident that is addressed.
• Utilize business and technical skills to manage customer escalations, coordinate meetings and deliverables, and analyze trends and patterns for reporting purposes.
• Use data, metrics, and feedback to inform operational and tactical decisions that improve incident and escalation management.
• Coordinate all necessary resources to fast-track and resolve new incidents and escalations from customers with a clear and detailed plan.

What are we looking for?

• A minimum of 5 years of experience in customer support, escalation, SRE, or incident management is required.
• Excellent contextual interpretation and writing skills, as well as the ability to effectively summarize and communicate to both technical and business audiences.
• Experience with a "Distributed big data Computing" environment,  SQL-based databases, as well as data warehousing and ETL technologies such as Informatica, DataStage, Oracle, Teradata, SQL Server, and MySQL.
• Linux/Unix administration skills, networking, and Hands-on Cloud experience with AWS, Azure, or GCP are required.
• Experience working cross-functionally with support, engineering, product management, and directly with customers; ability to deeply understand product and customer personas.
• BS or Master's, or PhD in Computer Science or Computer Engineering, or related Engineering field.

About the Team: Our Technical Support Engineering team is the backbone of our customer success, providing expert assistance and driving efficient solutions to complex technical challenges. We're a collaborative group of problem-solvers, passionate about delivering exceptional support and fostering strong relationships with our customers. Working within a global environment, we value teamwork, innovation, and a commitment to continuous improvement.

Responsibilities:

• Work as the primary point of contact for all tickets in your name
• Act as an escalation point for the Technical Support and Technical Account Management team
• Analyze and troubleshoot incidents with a one-touch resolution mindset
• Interpret customer questions on product usage and provide detailed and timely answers
• Write detailed and thorough escalation notes for sending tickets to senior engineering teams
• Perform routine follow-ups and ticket management via email and the case management system
• Write and maintain the internal and external knowledge bases
• Communicate with customers and internal parties about existing tickets and identify common patterns
• Provide feedback to management about improvements to processes and procedures

Minimum Qualifications:

• 3+ years of professional experience in a Technical Support role within software and/or technology.
• Exceptional communication skills, both written and verbal, with the ability to clearly convey complex technical concepts to diverse audiences (technical and non-technical, internal and external) in a business-to-business setting.
• Proven experience in in-depth software troubleshooting, demonstrating a customer-centric approach, a strong sense of ownership, and the ability to maintain a positive and collaborative attitude within a global technical support environment
• Ability to create and maintain comprehensive technical documentation, including knowledge-base articles, how-to guides, and troubleshooting guides.
• Understanding of networking fundamentals, including TCP/IP, routing, subnets, firewall rules, and proxy connectivity, coupled with the ability to utilize system-level tools for network troubleshooting and validation of open ports.
• Experience with RESTful APIs, their usage, and how they are leveraged in corporate environments
• Experience of AI
• Proficient in navigating and performing basic tasks within a Linux Shell in a professional enterprise environment

Preferred Qualifications: 

• Experience reading or writing code with a strong preference for Python.
• Ability to effectively analyze application logs and data sets to extract relevant information for troubleshooting and resolving technical issues.
• Ability to build cURL commands and use them as a troubleshooting tool
• Experience with TLS and Certificate troubleshooting
• Basic understanding of and experience with SAML
• Experience with database platforms and ability to troubleshoot reading from databases
• Experience with the following platforms:
  • MongoDB
  • Docker
  • OpenVPN

#LI-MDI

#Remote

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.

A Capco é uma consultoria global de tecnologia e negócios, focada no setor de serviços financeiros e energia, somos apaixonados por ajudar nossos clientes, temos 40 escritórios nas Américas, Europa e Ásia-Pacífico! Se criatividade e inovação são sua paixão, a Capco é ideal para você. Vamos te apoiar e ajudar a acelerar sua carreira!

Estamos em busca de um(a) Machine Learning Engineer com foco em NLP e processamento de documentos para atuar no desenvolvimento de soluções inteligentes voltadas à automação e análise de dados, especialmente em contextos financeiros. O(a) profissional será responsável por construir pipelines de dados, desenvolver modelos de machine learning e implementar soluções escaláveis em ambiente cloud.

O que você fará:

• Desenvolver soluções de machine learning e NLP para extração e processamento de informações de documentos
• Trabalhar com OCR, parsing de PDFs e extração de dados de Excel
• Implementar algoritmos de fuzzy matching (ex: Levenshtein, record linkage)
• Construir e manter pipelines de dados e processos de ETL
• Desenvolver, treinar e validar modelos de machine learning (supervisionados e não supervisionados)
• Realizar deploy de modelos utilizando APIs REST, Docker e serviços Azure
• Integrar soluções com sistemas externos e aplicações corporativas
• Colaborar com times multidisciplinares para entrega de soluções escaláveis

O que você precisa ter:

• Forte experiência em Python (Pandas, NumPy, scikit-learn)
• Experiência com bibliotecas de NLP (spaCy, NLTK ou Transformers)
• Conhecimento em processamento de documentos (OCR, PDFs, Excel)
• Experiência com deploy de modelos (APIs REST, Docker, Azure ML)
• Entendimento de técnicas de machine learning supervisionado e não supervisionado
• Experiência com pipelines de dados e ETL
• 2 a 5 anos de experiência em Machine Learning, com foco em NLP ou dados financeiros
• Inglês avançado/fluente

Diferenciais

• Experiência no setor financeiro/fintech (reconciliação, contabilidade)
• Conhecimento em Azure Machine Learning e Cognitive Services
• Experiência com frameworks de deep learning (TensorFlow, PyTorch)
• Experiência com LLMs para entendimento de documentos (OpenAI, Azure OpenAI)

POR QUE CAPCO:

Na Capco promovemos uma cultura inclusiva. Valorizamos a diversidade em todas as suas expressões. 
Pensamos, em conjunto, sempre em ações diversas de inclusão e de responsabilidade social através de comitês internos geridos pela nossa comunidade interna, como os grupo de Mulheres, Pessoas Com Deficiência, Pessoas Negras, LGBTQIAPN+, Parentalidade, Gerações, entre outros. Nossas oportunidades são trabalhadas para todos(as)!
#LifeAtCapco

PRÓXIMOS PASSOS:

• Se você está ansioso(a) para progredir sua carreira conosco, candidate-se e aguarde o contato de um de nossos recrutadores!

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/

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

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

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

WHAT YOU’LL DO

We are looking for a Senior Software Engineer to join our Cloud Data Ingestion & Transformation (CDIT) team. This team is vital to Braze's growth, owning multiple systems that enable customers to quickly and successfully integrate their data with our platform. CDIT focuses on two main product areas. The primary one is Braze’s Cloud Data Ingestion, which allows customers to seamlessly leverage the data in their cloud warehouse in Braze. Our system processes trillions of data points annually and integrates with an ever-growing variety of Braze features. We also own Data Transformation, a platform for customizing the flow of data from external sources into Braze. By increasing the comprehensiveness and ease of use of these systems, the engineer who joins us will have a direct and meaningful impact on our customers' success and the company's growth.

WHO YOU ARE

• 6+ years of full-stack development experience, with a strong focus on building scalable web applications. While our primary focus is on the back-end, we own our features end-to-end and regularly deliver front-end experiences
• Experienced technical leader with a track record of driving architectural decisions and contributing to technical strategy
• Strong understanding of design, data structures, and algorithms
• A self-starter with great communication and organizational skills who has worked in an agile team environment before
• Willingness to learn the technologies required to deliver what customers need
• Bonus points:
  • Professional experience building software at scale, handling high volumes of data and traffic
  • Experienced building automated data pipeline, asynchronous processing, or ETL applications using tools like Kafka, Airflow, Sidekiq, SQS, and RabbitMQ
  • Professional experience with Ruby on Rails, Python/Django, React, Snowflake, microservice architecture, and distributed systems
  • Familiarity with modern data warehousing, BI, and analytics
  • Experience with agile processes
  • A passion for incrementally delivering high-quality software which delights customers

#LI-Hybrid

.

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/

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

A Capco é uma consultoria global de tecnologia e negócios, focada no setor de serviços financeiros e energia, somos apaixonados por ajudar nossos clientes, temos 40 escritórios nas Américas, Europa e Ásia-Pacífico! Se criatividade e inovação são sua paixão, a Capco é ideal para você. Vamos te apoiar e ajudar a acelerar sua carreira!

Engenheiro de Inteligência Artificial

Responsabilidades:

• Projetar, desenvolver e aprimorar aplicações baseadas em foundation models (ex.: LLMs, modelos multimodais) para necessidades específicas de negócio;
• Implementar e experimentar técnicas de IA generativa, incluindo, mas não se limitando a, Retrieval-Augmented Generation (RAG) e prompt engineering;
• Liderar a implementação de agentes autônomos inteligentes e sistemas multiagente capazes de tomada de decisão complexa, execução de tarefas e interação com sistemas externos;
• Utilizar e contribuir para frameworks de IA agentic (ex.: LangChain, AutoGen, Semantic Kernel, Crew AI) para construir agentes robustos e escaláveis;
• Desenvolver e integrar soluções de Model Context Protocol (MCP) para padronizar como aplicações de IA acessam e utilizam fontes de dados externas, ferramentas e informações em tempo real;
• Liderar o desenvolvimento de aplicações full-stack que integrem modelos de IA generativa e sistemas agentic, garantindo experiências de usuário fluidas;
• Trabalhar com tecnologias de front-end (ex.: React, Angular, Vue.js, JavaScript, TypeScript, HTML, CSS) e back-end (ex.: Python com Flask/Django/FastAPI, Node.js, Go);
• Projetar e implementar APIs RESTful escaláveis e microsserviços para expor funcionalidades de IA;
• Implantar, gerenciar e otimizar cargas de trabalho de IA/ML e aplicações full-stack em pelo menos uma grande plataforma de nuvem (AWS, Azure ou GCP);
• Implementar práticas de LLMOps/MLOps e DevOps para integração contínua, entrega contínua (CI/CD), implantação de modelos, monitoramento e gestão de ciclo de vida;
• Manter-se atualizado sobre os avanços mais recentes em IA generativa, sistemas agentic, foundation models e áreas relacionadas por meio de pesquisa e experimentação contínuas;
• Colaborar de forma eficaz com equipes multifuncionais, incluindo gerentes de produto, cientistas de dados, pesquisadores e outros engenheiros;
• Orientar engenheiros juniores, compartilhar conhecimento e promover uma cultura de excelência técnica.

Requisitos:

• Bacharelado ou Mestrado em Ciência da Computação, Inteligência Artificial, Machine Learning ou área quantitativa relacionada;
• 5+ anos de experiência em desenvolvimento de software com forte foco em IA/ML;
• Experiência comprovada na construção e implantação de modelos de IA generativa (ex.: LLMs, modelos de difusão) em ambientes de produção;
• Expertise demonstrada em projetar e implementar sistemas de IA agentic e arquiteturas multiagente;
• Sólido entendimento e experiência prática com Model Context Protocol (MCP) para integração de sistemas de IA;
• Experiência consistente em desenvolvimento de aplicações full-stack;
• Ampla experiência com plataformas de nuvem (AWS, Azure ou GCP) para implantações de IA/ML e hospedagem de aplicações em geral;
• Experiência com ferramentas e práticas de LLMOps (ex.: Langfuse, Langsmith, etc.);
• Excelentes habilidades de resolução de problemas, análise e comunicação;
• Capacidade de trabalhar de forma independente e colaborativa em um ambiente ágil e dinâmico;
• Inglês avançado.

Diferenciais:

• Experiência anterior com sistemas de conhecimento baseados em grafos.

• Familiaridade com ferramentas e frameworks de GenAI (LangChain, LlamaIndex, OpenAI APIs).

• Experiência em projetos do setor de seguros ou serviços financeiros.

POR QUE CAPCO:

Na Capco promovemos uma cultura inclusiva. Valorizamos a diversidade em todas as suas expressões. 
Pensamos, em conjunto, sempre em ações diversas de inclusão e de responsabilidade social através de comitês internos geridos pela nossa comunidade interna, como os grupo de Mulheres, Pessoas Com Deficiência, Pessoas Negras, LGBTQIAPN+, Parentalidade, Gerações, entre outros.
Nossas oportunidades são trabalhadas para todos(as)!!!
#LifeAtCapco

PRÓXIMOS PASSOS:

• Se você está ansioso(a) para progredir sua carreira conosco, candidate-se e aguarde o contato de um de nossos recrutadores!

Requisitos:

• +8 anos de experiência profissional nas áreas de DevOps, Engenharia de Software, SRE ou Infraestrutura;
• Experiência comprovada com ferramentas de automação como GitHub Actions, Harness ou ambas;
• Conhecimento sólido em integração e entrega contínua (CI/CD), versionamento com Git, e processos de release;
• Familiaridade com ambientes de nuvem (AWS, GCP, Azure) e orquestração de containers (Kubernetes, Docker);
• Experiência com scripts de automação (Shell, Python, Bash, etc.) e ferramentas de IaC como Terraform, CloudFormation ou similares;
• Excelente capacidade de análise, resolução de problemas e comunicação interpessoal;
• Graduação em TI ou áreas correlatas;
• Inglês intermediário/avançado (possivel atuação com time internacional).

Principais Atividades:

• Projetar, implementar e manter pipelines de integração e entrega contínua (CI/CD), utilizando GitHub Actions, Harness ou ambas as ferramentas;
• Trabalhar em estreita colaboração com equipes de desenvolvimento, segurança e operações para garantir processos de entrega ágeis, seguros e eficientes;
• Automatizar fluxos de trabalho de build, teste, release e deploy em múltiplos ambientes (dev, staging, produção);
• Gerenciar e otimizar ambientes de execução em nuvem (AWS, Azure, GCP), containers (Docker, Kubernetes) e infraestrutura como código (IaC);
• Monitorar e melhorar continuamente a confiabilidade, escalabilidade e desempenho dos pipelines e sistemas;
• Apoiar a cultura DevOps dentro da organização, promovendo boas práticas, colaboração e melhoria contínua.

Por que a Capco:

Na Capco, promovemos uma cultura inclusiva. Valorizamos a diversidade em todas as suas expressões. Pensamos, em conjunto, sempre em ações diversas de inclusão e de responsabilidade social através de comitês internos geridos pela nossa comunidade, como os grupo de Mulheres, Pessoas Com Deficiência, Pessoas Negras, LGBTQIAPN+, Parentalidade, Gerações, entre outros. Juntar-se à Capco significa ingressar em uma organização comprometida com um ambiente de trabalho inclusivo onde você é incentivado a #BeYourselfAtWork (Ser Você Mesmo no Trabalho). Celebramos a individualidade e reconhecemos que a diversidade e a inclusão, em todas as formas, são fundamentais para o sucesso. Acreditamos que todos trazem algo diferente, por isso adoraríamos saber o que o torna diferente! #LifeAtCapco
Juntar-se à Capco significa ingressar em uma organização comprometida com um ambiente de trabalho inclusivo onde você é incentivado a #BeYourselfAtWork (Ser Você Mesmo no Trabalho). Celebramos a individualidade e reconhecemos que a diversidade e a inclusão, em todas as formas, são fundamentais para o sucesso. Acreditamos que todos trazem algo diferente, por isso adoraríamos saber o que o torna diferente!

Próximos Passos:

O objetivo da Capco é conduzir um processo flexível e alinhado às necessidades de cada oportunidade e talento.

• Etapa 1: Entrevista comportamental.
• Etapa 2: Entrevista técnica.
• Etapa 3: Conversa com time de Projeto/ Delivery.
• Etapa 4: Conversa com cliente.
• Etapa 5: Proposta ou feedback.

As etapas do nosso processo seletivo descritas são essenciais para garantir uma avaliação completa e assertiva. Contudo, elas podem ser ajustadas dependendo da senioridade do(a) candidato(a), da área de atuação e do formato do projeto. 

SOBRE A CAPCO

A Capco é uma consultoria global de tecnologia e gestão especializada na transformação digital, oferecendo soluções inovadoras e orientadas por dados para um portfólio crescente de mais de 100 clientes globais, entre eles bancos, pagamentos, mercados de capitais, gestão de patrimônio e ativos, seguros e setor de energia.

Nos destacamos pela abordagem personalizada, focada na construção de parcerias estratégicas de longo prazo e na aceleração de iniciativas digitais. Nossa expertise ganha vida por meio dos Innovation Labs e da cultura premiada Be Yourself At Work, que valoriza a diversidade e o talento.

Com presença global nos principais centros financeiros - temos 33 escritórios nas Américas, Europa e Ásia-Pacífico - estamos comprometidos em oferecer soluções práticas e integradas, promovendo colaboração e confiança em cada projeto. Se criatividade e inovação são sua paixão, a Capco é ideal para você. Vamos te apoiar e ajudar a acelerar sua carreira!

Sobre a oportunidade: 

Estamos em busca de um(a) Senior Consultant com experiência sólida em Business Analysis com plataformas de Big Data e vivência em ambientes de Cloud. Esta é uma excelente oportunidade para profissionais técnicos que desejam atuar em projetos de alto impacto, com foco em soluções escaláveis, processamento de grandes volumes de dados e modernização de ambientes analíticos.

Requisitos Desejáveis:

• Experiência com Data Lake, Delta Lake e arquiteturas orientadas a eventos.
• Certificações em Cloud (ex: AWS Certified Data Analytics, Azure Data Engineer, etc.).
• Conhecimentos em linguagens como Python, Scala ou Java voltadas para processamento de dados.
• Familiaridade com ferramentas de orquestração como Airflow, Apache Nifi, DBT ou similares.
• Entendimento de boas práticas de governança de dados, segurança e compliance.

POR QUE CAPCO:

Juntar-se à Capco significa ingressar em uma organização comprometida com um ambiente de trabalho inclusivo onde você é incentivado a #BeYourselfAtWork (Ser Você Mesmo no Trabalho). Celebramos a individualidade e reconhecemos que a diversidade e a inclusão, em todas as formas, são fundamentais para o sucesso. Acreditamos que todos trazem algo diferente, por isso adoraríamos saber o que o torna diferente!

Estamos em busca de um(a) Business Analyst com forte atuação em projetos de dados, capaz de traduzir necessidades de negócio em requisitos técnicos e análises estratégicas. O(a) profissional ideal terá experiência em ambientes de Big Data, conhecimento em ferramentas como Snowflake e Hadoop, e facilidade em interagir com áreas técnicas e de negócio.

Responsabilidades:

• Levantar, mapear e analisar requisitos de negócio voltados a dados e analytics;

• Traduzir necessidades das áreas de negócio em histórias de usuário e requisitos técnicos claros;

• Trabalhar em parceria com times de engenharia de dados, ciência de dados e produto;

• Realizar análises exploratórias de dados e gerar insights acionáveis;

• Documentar processos, fluxos de dados e regras de negócio;

• Apoiar o desenho de soluções de dados com foco em escalabilidade e performance;

• Garantir a qualidade e integridade das entregas de dados (requisitos, relatórios, dashboards, etc.).

Requisitos:

• Experiência prévia como Business Analyst ou Product Analyst em projetos de dados;

• Familiaridade com ambientes de Data Warehouse e Data Lake;

• Conhecimento em ferramentas como Snowflake, Hadoop, Hive, Spark, etc.;

• Experiência com análise de dados utilizando SQL avançado;

• Capacidade de leitura e entendimento de pipelines de dados;

• Habilidade de comunicação com perfis técnicos e não técnicos;

• Conhecimento de metodologias ágeis (Scrum/Kanban).

• Inglês avançado.

Diferenciais:

• Experiência com ferramentas de BI (Power BI, Tableau, Looker);

• Noções de modelagem de dados (dimensional, relacional, etc.);

• Experiência em ambientes Cloud (AWS, GCP ou Azure);

• Experiência em projetos de governança de dados ou compliance (LGPD, GDPR).

PRÓXIMOS PASSOS:

O objetivo da Capco é conduzir um processo flexível e alinhado às necessidades de cada oportunidade e talento.

• Etapa 1: Entrevista comportamental.
• Etapa 2: Entrevista técnica.
• Etapa 3: Conversa com time de Projeto/ Delivery.
• Etapa 4: Conversa com cliente.
• Etapa 5: Proposta ou feedback.

As etapas do nosso processo seletivo descritas são essenciais para garantir uma avaliação completa e assertiva. Contudo, elas podem ser ajustadas dependendo da senioridade do(a) candidato(a), da área de atuação e do formato do projeto.