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: Centro/RJ

Modelo de atuação: Presencial

Formato de contratação: CLT

Descrição do Cargo

Buscamos um especialista para implementar estratégias e processos de WFM colaborando com outros profissionais, para garantir o alinhamento e a integração das metas e objetivos do WFM. 

Requisitos

• Experiência na configuração, administração e customização do Oracle Field Service;
• Conhecimento das APIs REST do Oracle Field Service aplicadas a soluções de integração;
• Experiência com roteirização automática;
• Domínio e manipulação de Message Scenarios do Oracle Field Service;
• Experiência na criação e gestão de elementos como: collaboration, work schedules, timeslots, properties, inventory types, formulários, filtros, work skills, work zones e shape layers;
• Experiência na gestão de user types;
• Experiência com Link Templates do Oracle Field Service e seus casos de uso;
• Conhecimento avançado e aplicação prática das APIs de Eventos;
• Conhecimento e aplicação das APIs SOAP de catálogo do Oracle Field Service em soluções com Oracle Integration Cloud, visando processamento em tempo real;
• Experiência avançada em JavaScript, incluindo sólida manipulação do DOM e consumo de APIs REST;
• Conhecimento avançado das APIs/procedures do Mobile Plugin Framework e desenvolvimento de soluções para usuários offline;
• Experiência no desenvolvimento de plugins em JavaScript para extensão de funcionalidades;
• Conhecimento em HTML e CSS;
• Experiência com políticas de login, incluindo federação externa via SAML;
• Experiência no desenho, desenvolvimento e manutenção de integrações;
• Experiência com aplicações que utilizam autenticação OAuth 2.0;
• Vivência em monitoramento, troubleshooting e otimização de performance de integrações;
• Experiência em escalabilidade de aplicações;
• Capacidade de integração do Oracle Field Service com sistemas corporativos;
• Conhecimento em Oracle Autonomous Data Warehouse (ADW);
• Experiência em modelagem de dados e otimização de consultas SQL em Oracle Database;
• Capacidade analítica para proposição de soluções e melhorias;
• Capacidade de elaboração de documentação técnica clara e estruturada.

Diferenciais

• Conhecimento em Node.js e domínio do gerenciador de pacotes NPM;
• Conhecimento prévio em soluções utilizando IndexedDB;
• Experiência com Plugin Debrief e soluções baseadas em Oracle JET (OJET);
• Conhecimento em Oracle Integration Cloud (OIC);
• Conhecimento avançado com API de eventos do Oracle Field Service integrada com o Application do Oracle Integration Cloud e domínio de manipulação do trigger;
• Domínio de XSLT aplicado ao desenho de integrações;
• Experiência com conexões e soluções FTP no Oracle Integration Cloud;
• Experiência prévia com uso de Lookups no OIC para otimização e automação de processos em sistemas de destino;
• Conhecimento em Oracle Visual Builder;
• Capacidade de integração do ADW com ferramentas de BI (preferencialmente Oracle Analytics Cloud);
• Experiência com Oracle Cloud Infrastructure (OCI), incluindo criação de aplicações vinculadas aos serviços de cloud e performance hub do ADW;
• Experiência com manutenção de usuários/grupos de acesso no domínio OCI;
• Noções de segurança e experiência com certificados SAML no OCI;
• Experiência com Generative AI/Vision do Oracle Cloud Infrastructure integradas ao Oracle Field Service;
• Experiência específica com a API de estatísticas do OFS;
• Certificação Oracle (desejável uma ou mais dentre: 1D0-1003, 1Z0-1003, 1Z0-1042, ou outras certificações Oracle equivalentes).

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-BR1

Nossa área de Marketplace Engineering (AI Engineering)

Suas atividades como CSixer

• Desenvolver soluções de IA Generativa de ponta a ponta: da concepção ao ambiente produtivo.
• Liderar ou apoiar a criação de copilots, automações e assistentes para clientes e áreas internas.
• Evoluir nossa plataforma de LLMOps com foco em escalabilidade, governança, rastreabilidade e segurança.
• Trabalhar com times de arquitetura, engenharia, produto e operações em soluções integradas com impacto direto no negócio.
• Estabelecer boas práticas de CI/CD para IA Generativa em ambientes on-premise e cloud.
• Investigar causas de falhas e incidentes, propondo correções e melhorias estruturais.
• Promover boas práticas técnicas, revisão de código e troca de conhecimento.

Requisitos e Experiência

• Clareza na comunicação com perfis técnicos e não técnicos.
  
• Tomada de decisão técnica ou influência como referência no time.
  
• Capacidade de entender demandas de negócio e converter em soluções técnicas viáveis.
  
• Postura colaborativa, com foco em entrega contínua e melhoria incremental.
  
• Experiência com metodologias ágeis e visão de produto.
  
• Experiência com IA Generativa, LLMs, embeddings e NLP.
  
• Domínio de Python e bibliotecas como LangChain, Transformers, etc.
  
• Domínio de técnicas avançadas de RAG (re-ranking, chunking dinâmico, context-aware retrieval).
  
• Experiência com Git e bancos de dados relacionais e não relacionais.
  
• Vivência em Ciência de Dados aplicada a dados não estruturados.
  
• Experiência com ferramentas de LLMOps, pipelines e monitoramento de modelos.
  
• Diferenciais: Experiência com modelos open-source (Mistral, LLaMA, Mixtral, Phi).
  
• Atuação com agentes autônomos ou orquestração com LangGraph ou similares.
  
• Conhecimentos de protocolos como MCP e A2A.

Nossos Benefícios 

• Vale-Refeição;
• Vale-Alimentação;
• Plano de saúde e odontológico;
• Auxílio-Creche;
• Seguro de Vida;
• WellHub | TotalPass;
• Conexa | Psicologia Viva - Terapia online sem custo;
• Carbon Academy;
• Cartão C6 Carbon;
• Carbon Spa - Salão de beleza localizado em nosso escritório;
• Carbon Care - Ambulatório localizado em nosso escritório;
• Quick Massage;
• Sala de amamentação;
• Empresa Cidadã - Prorrogação do prazo da licença-maternidade e licença-paternidade;
• Bicicletário;
• Vestiário;
• Van corporativa;
• Espaço de convivência - Videogame, mesa de sinuca, playball, churrasqueira, chopeira, lanchonete, diversos locais de descanso, redes, cesta de basquete e horta colaborativa e orgânica.

The Mission

We are seeking an exceptional Software Engineer to join our growing Cloud Native Applications team. The right candidate is someone who has deep expertise in application design and is passionate about working with our customers, partners, and colleagues to drive innovation forward. Your mission will be to work alongside Caylent’s Engineers, Architects, Sales, and Project Managers to deliver AWS solutions across our diverse and forward-thinking customer base. You’ll work with the latest technologies and support customers looking to bring cutting-edge ideas to market.

Your Assignment

● Collaborate with Architects and Engineering Managers to deliver high-quality technical solutions.
● Understand client requirements to build solutions defined in project backlogs.
● Participate in Agile ceremonies such as daily standups, sprint planning, retrospectives, and demos.
● Write production ready, well-tested, and documented code across cloud environments.
● Contribute to building infrastructure, data pipelines, or application components depending on project needs.
● Troubleshoot and resolve technical issues in development, staging, etc.
● Participate in code reviews and knowledge sharing within your team.
● Demonstrate Caylent’s values by staying curious, being an exceptional partner, and continuously learning.

Your Qualifications

Core Consulting Qualifications

Customer Experience
●Committed to delivering exceptional client experiences, professionally responding to customer inquiries, clearly communicating project status, and providing valuable
solutions aligned to client needs.

Collaboration
● Demonstrates strong collaboration with internal teams, proactively aligning on priorities, responding to clients, and addressing client feedback.

Communication
● Effectively communicates technical information clearly and actively listens to clients and team members to confirm understanding and prevent miscommunication.

Technical Qualifications

● Deep expertise with AWS cloud services.
● Strong experience writing, reviewing, and deploying code using modern languages (Node.js, Go, React, Angular, TypeScript, Python, etc.).
● Technical background in application development and modern architecture.
● Experience managing customer engagements and contributing to project delivery.
● Desire to integrate innovative technologies into development workflow
● Familiarity with Generative AI technologies
● Proficient in building and maintaining CI/CD pipelines and cloud automation.
● Experience working in client-facing roles within consulting or professional services.

Preferred Qualifications

• Experience working in a client-facing environment
• Experience working in consulting or professional services 
• Experience with testing and automation
• Experience with UI/UX
• Experience building and maintaining CI/CD pipelines
• Bachelor's or Master's degree in Information Technology or related field

Benefits

• 100% remote work
• Company stock option plan
• Generous holidays and flexible PTO
• Paid for exams and certifications
• Peer bonus awards
• State of the art laptop and tools
• Individual professional development plan
• Annual stipend for Learning and Development
• Work with an amazing worldwide team and in an incredible corporate culture

Why Join Exadel

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

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

What You’ll Do

• Design scalable enablement programs to support enterprise-wide adoption of AI tools
• Develop tailored learning journeys for different user personas and maturity levels
• Promote best practices and increase user autonomy across teams
• Facilitate workshops, hands-on sessions, and training programs for business, technical, and executive audiences
• Translate technical AI capabilities into practical, productivity-focused use cases
• Adapt content and delivery approach to different audiences and contexts
• Create instructional materials, playbooks, user guides, templates, and enablement assets
• Develop reusable frameworks to ensure scalability and long-term sustainability
• Define and track adoption, engagement, and learning effectiveness metrics
• Recommend continuous improvements based on outcomes and participant feedback
• Evolve training content as new AI capabilities and features are introduced

What You Bring

• Proven experience in corporate training, enablement, or change adoption in enterprise environments
• Hands-on experience with generative AI and automation tools (Claude, Gemini, Glean, N8N)
• Ability to facilitate sessions for both executive and technical audiences
• Strong communication, facilitation, and instructional design skills
• Autonomous, consultative, and outcome-oriented approach

Nice to have

• Experience supporting digital transformation or large-scale AI adoption initiatives
• Background in regulated industries such as financial services, fintech, or technology
• Knowledge of instructional design methodologies and learning frameworks
• Portfolio of AI training or enablement programs

English level

English proficiency for technical documentation and stakeholder communication

Legal & Hiring Information

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

Your Benefits at Exadel

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

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

Exadel Culture

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

** Remote - with potential workshops in Sao Paulo

Why Join Exadel

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

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

What You’ll Do

• Design scalable enablement programs to support enterprise-wide adoption of AI tools
• Develop tailored learning journeys for different user personas and maturity levels
• Promote best practices and increase user autonomy across teams
• Facilitate workshops, hands-on sessions, and training programs for business, technical, and executive audiences
• Translate technical AI capabilities into practical, productivity-focused use cases
• Adapt content and delivery approach to different audiences and contexts
• Create instructional materials, playbooks, user guides, templates, and enablement assets
• Develop reusable frameworks to ensure scalability and long-term sustainability
• Define and track adoption, engagement, and learning effectiveness metrics
• Recommend continuous improvements based on outcomes and participant feedback
• Evolve training content as new AI capabilities and features are introduced

What You Bring

• Proven experience in corporate training, enablement, or change adoption in enterprise environments
• Hands-on experience with generative AI and automation tools (Claude, Gemini, Glean, N8N)
• Ability to facilitate sessions for both executive and technical audiences
• Strong communication, facilitation, and instructional design skills
• Autonomous, consultative, and outcome-oriented approach

Nice to have

• Experience supporting digital transformation or large-scale AI adoption initiatives
• Background in regulated industries such as financial services, fintech, or technology
• Knowledge of instructional design methodologies and learning frameworks
• Portfolio of AI training or enablement programs

English level

English proficiency for technical documentation and stakeholder communication

Legal & Hiring Information

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

Your Benefits at Exadel

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

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

Exadel Culture

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

** Remote - with potential workshops in Sao Paulo

Why Join Exadel

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

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

About the Client

Founded in the Netherlands 180+ years ago, the company operates in over 150 countries. The customer is a global leader in information services for health, tax and accounting, risk and compliance, finance, and legal sectors.

Join a team building a comprehensive AI technology stack (focused on GenAI) that accelerates AI capabilities across hundreds of customer products. The platform integrates with major AI providers and enables scalable, production-ready AI solutions for professional users.

The team is divided into core development and product integration streams.

What You’ll Do

• Design and develop high-impact PowerPoint presentations for senior leadership, including executive meetings, keynotes, and client-facing materials
• Translate complex ideas into clear, compelling visual narratives and storytelling formats
• Create branded materials to support internal and external communications, ensuring alignment with existing brand guidelines
• Support the development of thought leadership content through visually engaging design assets
• Collaborate closely with senior stakeholders to understand messaging and deliver polished, executive-level outputs
• Ensure consistency, quality, and attention to detail across all deliverables

What You Bring

• Strong experience designing executive-level presentations and communication materials
• Expert-level proficiency in PowerPoint
• Experience with Adobe Creative Suite
• Ability to translate business concepts into visually compelling and structured storytelling
• Experience supporting senior leadership or executive stakeholders
• Strong attention to detail, organization, and ability to manage multiple priorities independently

Nice to have

• Experience with Figma (optional, based on preference)
• Background in supporting thought leadership or marketing/brand communications initiatives
• Experience with motion design (e.g., animations for presentations, video content)
• Familiarity with AI-generated design tools and workflows (e.g., generative visuals, AI-assisted content creation)

English level

Intermediate/Upper-Intermediate

Legal & Hiring Information

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

Your Benefits at Exadel

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

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

Exadel Culture

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

Why You'll Love This Role: 

We're looking for an experienced ML Ops Engineer to join the ML/AI team at Newsela. This team works on projects ranging from classical Machine Learning to AI / Generative pipelines.  This is a hands-on role. You'll work closely with ML/AI, data and site reliability engineers to take models from prototype to production, build robust data pipelines, and keep our services running smoothly as we continue to scale.

What You'll Be Doing:

• Design and maintain CI/CD pipelines for ML model training, packaging, and deployment across our microservices.
• Manage containerized services on AWS ECS, optimizing for cost, latency, and availability.
• Automate infrastructure provisioning and service configuration with Terraform.
• Work to maintain and scale services that make use of third party LLM providers.
• Build and improve data pipelines that feed models from BigQuery, S3, and DynamoDB into training and inference workflows.
• Instrument services with observability tooling (Datadog, OpenTelemetry, Langfuse) and establish SLOs for model-serving endpoints.
• Collaborate with ML engineers to productionize new models using BentoML, FastAPI, and container-based serving.

About You:

• 2-3 years in ML Ops supporting ML/AI features, systems and workflows with 3-4 years prior experience in DevOps, CloudOps or SRE.
• Strong proficiency in Python.
• Hands-on experience with Docker containerization and container orchestration.
• Solid understanding of CI/CD for ML workflows in an enterprise production environment.
• Experience with Infrastructure as Code, preferably Terraform.
• Familiarity with cloud platforms — specifically AWS (ECS, ECR, S3, DynamoDB, CloudWatch) and GCP (BigQuery, Vertex AI).
• Experience with LLM integration and observability (OpenAI API, Google GenAI, Langfuse tracing).
• Experience building and maintaining data pipelines for ML training and feature engineering
• Familiarity with ML modeling workflows — training, evaluation, experiment tracking (e.g. MLFlow, Weights & Biases), and model versioning
• Experience monitoring and flagging model drift over time.
• Exposure to NLP/NLU models and frameworks such as Hugging Face Transformers, spaCy, or sentence-transformers
• Knowledge of vector databases (LanceDB, FAISS) and embedding-based retrieval systems
• Experience with scaling and maintaining deep learning frameworks (TensorFlow, PyTorch) in production settings
• Familiarity with classical ML libraries (scikit-learn, XGBoost, LightGBM) and model explainability tools (SHAP)
• Working knowledge of ML serving frameworks such as BentoML or similar.
• Comfort working with FastAPI or similar async Python web frameworks.

Please note that given the nature of the contract, this role will not be eligible to participate in company-sponsored benefits

About Newsela:

Newsela is a leading education technology company dedicated to meaningful classroom learning for every student. We deliver integrated, AI-powered solutions designed to unlock student engagement, empower teachers, and drive meaningful learning outcomes. Our suite of products supports knowledge and skill development, writing practice, daily instruction, assessment, and data-informed decision-making across K–12 classrooms. Grounded in learning science research, Newsela’s solutions integrate content, assessment, and analytics to help educators track progress, understand student outcomes, and deliver high-impact instruction that supports every learner.

#LI-Remote

Who We Are

Build. Scale. Sustain. 

PALO IT is a global technology consultancy that crafts tech as a force for good. We design, develop and scale digital and sustainable products and services to unlock value across the triple bottom line: people, planet, profit. We do the right thing, and we do it right. We're proud to be a World Economic Forum New Champion, and a B Corp-certified company. 

• We are small enough to care locally, big enough to deliver globally (5 continents, 18 offices, +650 experts from +50 nationalities)

• We are robust and resilient (100% independent and 0 debt)

• We are entrepreneurs and passionate experts: We invest in what we believe genuinely and work as a collective intelligence

• We are positive, courageous, caring, doers and committed to excellence

About Gen-e2

While the market is still largely AI-augmenting delivery, we have reinvented the SDLC to be AI First. Our approach is a game-changer in productivity and quality, with a strong collaboration between IA generative and our best Talents:

• We now generate 95% of the entire product — code, documentation, infrastructure as code, and even design — with GitHub Copilot.

• The quality consistently exceeds the output of our best traditional engineering teams.

• A product repository houses all product artefacts, giving AI full project context for higher-quality generation.

• A library of rules and prompts defines coding standards, design principles, and security guidelines, ensuring enterprise-grade quality and scalability.

With Gen-e2, we deliver end-to-end products 2–3× faster than traditional approaches, while raising the bar for engineering excellence.

Your Role

As a Tech Lead Full Stack with a strong software architecture mindset, you will lead the technical delivery of digital products end-to-end hands-on when needed while guiding teams toward scalable, secure, and maintainable solutions.

• Lead the design and evolution of technological solutions, ensuring scalability, performance, security, and maintainability.
• Drive architectural decisions and trade-offs (e.g., microservices vs. modular monolith), applying patterns such as DDD, Clean/Hexagonal Architecture, and event-driven approaches when relevant.
• Design, build and evolve APIs (REST), including versioning, contract-first practices (OpenAPI), backward compatibility, and robust error handling.
• Define and enforce engineering standards (clean code, test strategy, code reviews, observability, security practices, CI/CD).
• Mentor and coach engineers, fostering a strong delivery culture and raising the engineering bar across the team.
• Partner with Product, QA, UX and stakeholders to refine scope, assess technical risks, shape the roadmap, and deliver incrementally.
• Encourage AI-first engineering practices (e.g., Copilot/GenAI) with proper governance: quality gates, security, traceability, and testing.

Who You Are

• 10+ years of software engineering experience with proven technical leadership (Tech Lead, Lead Engineer, or strong senior with leadership responsibilities).
• Strong backend expertise in Java (ideally 17/25+) or .net, with solid testing practices (JUnit/Mockito) and performance awareness.
• Strong frontend expertise in Angular (ideally 12+) with TypeScript, RxJS, frontend architecture, and performance best practices.
• Proven ability to design and communicate software architecture: microservices/modular monoliths, Clean/Hexagonal, SOLID principles, integration patterns, and API design.
• Strong engineering fundamentals: CI/CD, Git workflows, code review practices, observability (logs/metrics/traces), and secure-by-design mindset.
• Kafka/RabbitMQ, event-driven architectures, CQRS, saga/outbox patterns.
• Docker/Kubernetes, Terraform/IaC, and cloud experience (AWS/Azure/GCP).
• OAuth2/OIDC, JWT, and security best practices (OWASP).
• Experience in high-traffic systems, performance tuning, caching strategies.
• Experience working in AI-assisted engineering environments and setting quality/security guardrails.
• Excellent communication and stakeholder management skills; able to influence decisions and align teams.
• Professional English (B2+ preferred) for global collaboration and documentation.

More About PALO IT

We’re eager to adapt to change, learn from our experiences and move to meet our planet’s urgent needs. We are continuously taking action to:

• Become a climate net-zero company

• Deliver projects with a positive impact

• Train 100% of our workforce on impact

• Achieve B Corp certification among all our offices across the globe

• Continuously measure & improve employee happiness

Our clients are amongst the world's most successful companies. We innovate with established Fortune 1000s, SMEs and start-ups who aim to make an impact, become global leaders and address the world's most complex challenges.

What We Offer

• Stimulating working environments

• Unique career path

• International mobility

• Internal R&D projects

• Knowledge sharing

• Personalized training

• Entrepreneurship & intrapreneurship

For more on our team culture and benefits,

Check out our careers page.
And our PALOCast with direct testimonies from our Palowans!

PALO IT is an equal opportunity employer that values merit, qualifications, and abilities. We prioritize privacy and data security. For more information on our privacy practices, please refer to our Privacy Policy.

The salary range for this role is $50,000 - $120,000 per year (Gross in USD) 

About Sezzle:

With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!

About the Role: 

We are seeking a talented and motivated  Sr. AI engineer who is best in class with a high IQ plus a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement.

You will be responsible for overseeing the design, development, and deployment of machine learning models that power and enhance our financial platform. In this role, you will drive the creation of scalable machine learning solutions for personalized recommendations in the Sezzle marketplace, fraud detection, and credit risk assessment, utilizing a combination of cloud services, open-source tools, and proprietary algorithms.

Your leadership will be key in blending machine learning development and operations (MLOps) to automate and optimize the full lifecycle of our ML models. You will collaborate with a team of engineers and data scientists to build large-scale, high-quality solutions that address diverse challenges in the shopping and fintech space. You’ll ensure our AI-driven features are robust, efficient, and scalable as we continue to grow.

What You'll Do:

• Design, Build, and Maintain Scalable ML Infrastructure: Lead the design and development of scalable machine learning infrastructure on AWS, utilizing services like AWS Sagemaker for efficient model training and deployment.
• Collaborate with Product Teams: Work closely with product teams to develop MVPs for AI-driven features, ensuring quick iterations and market testing to refine solutions effectively.
• Develop Monitoring & Alerting Frameworks: Create and enhance monitoring and alerting systems for machine learning models to ensure high performance, reliability, and minimal downtime.
• Support Cross-Departmental AI Utilization: Enable various departments within the organization to leverage AI/ML models, including cutting-edge Generative AI solutions, for different use cases.
• Provide Production Support: Offer expertise in debugging and resolving issues related to machine learning models in production, participating in on-call rotations for operational troubleshooting and incident resolution.
• Scale ML Architecture: Design and scale machine learning architecture to support rapid user growth, leveraging deep knowledge of AWS and ML best practices to ensure robustness and efficiency.
• Mentor and Elevate Team Skills: Conduct code reviews, mentor team members, and elevate overall team capabilities through knowledge sharing and collaboration.
• Stay Ahead of the Curve: Stay updated with the latest advancements in machine learning technologies and AWS services, driving the adoption of cutting-edge solutions to maintain a competitive edge.

What We Look For:

• Bachelor's degree in Computer Science, Computer Engineering, Machine Learning, Statistics, Physics, or a relevant technical field, or equivalent practical experience.
• At least 6+ years of experience in machine learning engineering, with demonstrated success in deploying scalable ML models in a production environment.

Preferred Qualifications:

• Deep expertise in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical fields.
• Proven track record of developing machine learning models from inception to business impact, demonstrating the ability to solve complex challenges with innovative solutions.
• Proficiency with Python is required, and experience with Golang is a plus.
• Demonstrated technical leadership in guiding teams, owning end-to-end projects, and setting the technical direction to achieve project goals efficiently.
• Experience working with relational databases, data warehouses, and using SQL to explore them.
• Strong familiarity with AWS cloud services, especially in deploying and managing machine learning solutions and scaling them in a cost-effective manner.
• Knowledgeable in Kubernetes, Docker, and CI/CD pipelines for efficient deployment and management of ML models.
• Comfortable with monitoring and observability tools tailored for machine learning models (e.g., Prometheus, Grafana, AWS CloudWatch) and experienced in developing recommender systems or enhancing user experiences through personalized recommendations.
• Solid foundation in data processing and pipeline frameworks (e.g., Apache Spark, Kafka) for handling real-time data streams.

About You:

• You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
• You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
• You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
• You earn trust - you listen attentively, speak candidly, and treat others respectfully.
• You have backbone; disagree, then commit - you can respectfully challenge decisions when you disagree, even when doing so is uncomfortable or exhausting. You have conviction and are tenacious. You do not compromise for the sake of social cohesion. Once a decision is determined, you commit wholly.
• You deliver results - you focus on the key inputs and deliver them with the right quality and in a timely fashion. Despite setbacks, you rise to the occasion and never settle.

What Makes Working at Sezzle Awesome:

At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire. 

#Li-remote #full-time

The salary range for this role is $50,000 - $120,000 per year (Gross in USD) 

About Sezzle:

With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!

About the Role: 

We are seeking a talented and motivated Sr. AI engineer who is best in class with a high IQ plus a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement.

You will be responsible for overseeing the design, development, and deployment of machine learning models that power and enhance our financial platform. In this role, you will drive the creation of scalable machine learning solutions for personalized recommendations in the Sezzle marketplace, fraud detection, and credit risk assessment, utilizing a combination of cloud services, open-source tools, and proprietary algorithms.

Your leadership will be key in blending machine learning development and operations (MLOps) to automate and optimize the full lifecycle of our ML models. You will collaborate with a team of engineers and data scientists to build large-scale, high-quality solutions that address diverse challenges in the shopping and fintech space. You’ll ensure our AI-driven features are robust, efficient, and scalable as we continue to grow.

What You'll Do:

• Design, Build, and Maintain Scalable ML Infrastructure: Lead the design and development of scalable machine learning infrastructure on AWS, utilizing services like AWS Sagemaker for efficient model training and deployment.
• Collaborate with Product Teams: Work closely with product teams to develop MVPs for AI-driven features, ensuring quick iterations and market testing to refine solutions effectively.
• Develop Monitoring & Alerting Frameworks: Create and enhance monitoring and alerting systems for machine learning models to ensure high performance, reliability, and minimal downtime.
• Support Marketing Team’s AI Utilization with an eye on Cross-Departmental impact: Enable various departments within the organization to leverage AI/ML models, including cutting-edge Generative AI solutions, for different use cases.
• Provide Production Support: Offer expertise in debugging and resolving issues related to machine learning models in production, participating in on-call rotations for operational troubleshooting and incident resolution.
• Scale ML Architecture: Design and scale machine learning architecture to support rapid user growth, leveraging deep knowledge of AWS and ML best practices to ensure robustness and efficiency.
• Mentor and Elevate Team Skills: Conduct code reviews, mentor team members, and elevate overall team capabilities through knowledge sharing and collaboration.
• Stay Ahead of the Curve: Stay updated with the latest advancements in machine learning technologies and AWS services, driving the adoption of cutting-edge solutions to maintain a competitive edge.

What We Look For:

• Bachelor's degree in Computer Science, Computer Engineering, Machine Learning, Statistics, Physics, or a relevant technical field, or equivalent practical experience.
• At least 6+ years of experience in machine learning engineering, with demonstrated success in deploying scalable ML models in a production environment.

Preferred Qualifications:

• Deep expertise in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical fields.
• Proven track record of developing machine learning models from inception to business impact, demonstrating the ability to solve complex challenges with innovative solutions.
• Proficiency with Python is required, and experience with Golang is a plus.
• Demonstrated technical leadership in guiding teams, owning end-to-end projects, and setting the technical direction to achieve project goals efficiently.
• Experience working with relational databases, data warehouses, and using SQL to explore them.
• Strong familiarity with AWS cloud services, especially in deploying and managing machine learning solutions and scaling them in a cost-effective manner.
• Knowledgeable in Kubernetes, Docker, and CI/CD pipelines for efficient deployment and management of ML models.
• Comfortable with monitoring and observability tools tailored for machine learning models (e.g., Prometheus, Grafana, AWS CloudWatch) and experienced in developing recommender systems or enhancing user experiences through personalized recommendations.
• Solid foundation in data processing and pipeline frameworks (e.g., Apache Spark, Kafka) for handling real-time data streams.

About You:

• You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
• You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
• You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
• You earn trust - you listen attentively, speak candidly, and treat others respectfully.
• You have backbone; disagree, then commit - you can respectfully challenge decisions when you disagree, even when doing so is uncomfortable or exhausting. You have conviction and are tenacious. You do not compromise for the sake of social cohesion. Once a decision is determined, you commit wholly.
• You deliver results - you focus on the key inputs and deliver them with the right quality and in a timely fashion. Despite setbacks, you rise to the occasion and never settle.

What Makes Working at Sezzle Awesome:

At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire. 

#Li-remote #full-time

The Mission

This is a senior role for someone who leads from both directions at once — deeply technical on customer engagements, and fully accountable for the growth and performance of a team of ML engineers and architects. You will report to the Director of AI/ML.

You own hiring, development, and team health alongside leading complex customer engagements, shaping architecture, and driving pre-sales. Both parts of this job are real and ongoing. The right candidate will find energy in that combination, not tension.

Your Assignment

Leading Your Team

• Hire and build: Set the technical bar for ML roles on your team, lead or oversee technical assessments, and make hiring decisions you can stand behind. Build a team that raises the practice's overall standard.
• Develop people: Run regular structured 1:1s, provide candid feedback at meaningful milestones, and actively invest in each person's growth — whether they are early in their career or highly experienced.
• Manage performance: Recognize strong contributors and address performance gaps directly and early. Partner with HRBPs and the Director of AI/ML when situations require a structured path, and advocate for your team when they deserve it.
• Stay close to staffing: Understand how your team is utilized across engagements, keep the staffing team informed of each person's skills evolution and preferences, and ensure people are placed in work that stretches them appropriately.

Strategic Advisory

• Lead ML assessments: Evaluate customer environments end-to-end — infrastructure, data pipelines, model lifecycle, and organizational readiness — and produce recommendations that drive executive decisions and open the door to the next engagement.
• Shape architecture: Serve as the senior technical authority on engagements, setting architectural direction, ensuring technical quality across the team, and making the calls that matter when tradeoffs are hard.
• Advise on ML operations: Help customers build ML systems they can actually own and sustain — translating MLOps, LLMOps, and production monitoring complexity into standards their engineering teams can execute and their leadership can act on.
• Drive pre-sales: Partner with sales and solutions teams during scoping and proposal phases, contributing the technical depth needed to scope work accurately and give prospects confidence in Caylent's ability to deliver.

Hands-On Delivery

• Lead engagements end-to-end: Drive architecture and solution design from kickoff through delivery — setting technical direction, unblocking the team on hard problems, and ensuring the work meets Caylent's quality standards.
• Own the technical relationship: Depending on the engagement, you are either the primary client contact owning all architect-level outcomes, or the senior technical authority providing oversight across the team. The expectation is the same in both cases — you are the person the engagement depends on technically.

Growing the Practice

• • Raise the bar internally: Mentor engineers and architects through real work, contribute to technical interviews, and build reference architectures and accelerators that make the broader ML practice better.

Your Qualifications (non-negotiables)

• 10+ years in machine learning or AI, with a proven track record of leading client-facing engagements in a consulting or advisory capacity.
• Demonstrated people management experience — hiring, performance calibration, career development, and the ability to have difficult conversations directly and constructively.
• Deep, current knowledge of the AWS ML and GenAI ecosystem, with the ability to make and defend architectural decisions across the full ML lifecycle — from data and feature engineering through training, deployment, and monitoring.
• Deep expertise in at least two or three ML domains — whether classical ML, computer vision, NLP, time series, or others — combined with the judgment to assess, architect, and advise across the broader ML landscape.
• Proven ability to architect and govern production ML systems end-to-end, translating MLOps, LLMOps, and broader AI operations complexity into standards that engineering teams can execute and executives can act on.
• Deep expertise across foundation model adaptation — fine-tuning (LoRA, QLoRA, PEFT), alignment (RLHF, DPO), inference optimization, and distributed training — combined with RAG and agentic system design, including multi-agent architectures, MCP integration, and human-in-the-loop patterns on AWS.
• Proven ability to operate independently in complex, ambiguous customer environments — navigating competing priorities, aligning stakeholders, and translating ML tradeoffs into business risk and value for both technical and executive audiences.

Strong differentiators

• AWS Certified Machine Learning – Specialty and/or AWS Certified Solutions Architect – Professional.
• Experience shaping practice-level standards, reference architectures, and reusable ML accelerators across multiple engagements.
• Exposure to varied industries and problem types in a consulting or client-facing context.
• Deep fluency in responsible AI practices — model evaluation, bias detection, fairness frameworks, and AI governance — applied in enterprise deployments.
• Fluency in AIOps patterns — designing agentic workflows for anomaly detection, automated root cause analysis, and remediation across observability platforms — and the ability to translate AI operations outcomes into measurable business value for customers.

Technical Stack

Our practice spans a broad range of ML domains. Candidates are expected to prescribe — not just recognize — with the judgment to maximize what AWS makes possible and the experience to know how open-source tooling strengthens it.

• ML Domains: Classical ML, Computer Vision, NLP, Generative AI & LLMs, AI Agents & Autonomous Systems, Intelligent Document Processing, Video Understanding, Speech & Audio, Time Series & Forecasting, Recommender Systems, Graph ML, Reinforcement Learning, Multimodal AI
• AWS ML Platform: SageMaker, SageMaker Pipelines, SageMaker Feature Store, SageMaker Model Registry, SageMaker Clarify, Bedrock (Agents, Knowledge Bases, Guardrails, AgentCore, Model Evaluation)
• Multi-provider LLM: Bedrock, Anthropic API, OpenAI API, Google Gemini API, Azure OpenAI — with the judgment to reason across provider tradeoffs in enterprise contexts
• AWS AI Services: Rekognition, Comprehend, Transcribe, Textract, Translate, Personalize, Neptune, Kinesis Video Streams, Polly
• Data Platform: Apache Spark / PySpark, Apache Kafka, Amazon Kinesis, Apache Iceberg, Delta Lake, Apache Hudi, AWS Glue
• Vector Databases: Pinecone, pgvector, Amazon OpenSearch (vector), Weaviate
• Frameworks: PyTorch, TensorFlow, JAX, Scikit-learn, XGBoost, HuggingFace (Transformers, PEFT, TRL), LangChain, LlamaIndex, DSPy, Ollama
• MLOps & Governance: MLflow, W&B, Airflow / MWAA (data orchestration), Dagster (asset-based pipelines), Kubeflow Pipelines, CI/CD, IaC (CloudFormation, CDK, Terraform), Docker, Kubernetes, ML Governance (lineage, data contracts, audit), Responsible AI / Bias & Fairness
• LLM Evaluation & Safety: RAGAS, LLM-as-judge patterns, DeepEval, NeMo Guardrails, Constitutional AI patterns, structured output validation
• Inference & Optimization: Triton, vLLM, SGLang, Trainium, Inferentia, Quantization (GPTQ, AWQ, bitsandbytes), SageMaker Neo

Benefits

• 100% remote work
• Flexible Time Off
• Competitive phantom equity
• Paid for exams and certifications
• Peer bonus awards
• State of the art laptop and tools
• Equipment & Office Stipend
• Individual professional development plan
• Annual stipend for Learning and Development
• Work with an amazing worldwide team and in an incredible corporate culture 

Please submit your resume in English.

To learn more about our team and office culture in São Paulo, Brazil, visit the following links. 
Careers Page: https://www.knowbe4.com/careers/locations/sao-paulo
Glassdoor: https://www.glassdoor.com/Location/KnowBe4-S%C3%A3o-Paulo-Location-EI_IE969384.0,7_IL[…]M_-C1lsxoZq7Cx8IriVE8MkrzuTmnJzqego77RAWZz9sqGt_55BflwYKpQeg
LinkedIn: https://www.linkedin.com/company/knowbe4/life/brazil/

The Information Security Engineer performs all processes and procedures necessary to ensure the safety of information systems, services, and networks. In addition, the primary responsibility is to lead security assessments, implement, configure, and manage existing security tools, deploy new security tools, and assist infosec staff on necessary projects and activities.

Responsibilities:

• Assess information security processes and design more efficient methods using available tools including generative AI
• Oversee the Implementation and management of Infosec applications, services and tools such as Endpoint Detection and Response (EDR), Threat and Vulnerability Management (TVM), Software and application inventory security management, Email and communications security, and more.
• Optimization and application of monitoring solutions to track and detect potential security issues.
• Conduct security, vulnerability, and risk assessments across services, cloud and applications, using both automated tools, manual testing procedures, and generative AI.
• Involved in all aspects of Incident Response.

Requirements:

• Bachelor’s degree in information security, information systems, or similar preferred
• Relevant industry certification in information security, management information systems security or similar preferred 
• Experience leveraging generative AI in your security testing workflows , automations and processes
• Certifications in relevant securing relevant business applications
• Minimum 3+ years experience in information security and Technology or related role
• Demonstrated practical knowledge in information security, IT, internet concepts, and business applications.
• Some experience with infosec testing tools and scripts.
• Some experience working with relevant security applications such as EDR, MDM, Email Security, IdP, AWS, Azure, solutions.
• Familiar with implementing secure IT/Infosec SaaS applications. 
• Familiar with OWASP top 10,MITRE ATT&CK Framework, as well as other relevant frameworks.
• Knowledge of various operating systems, ChromeOS, Linux, Mac, Windows.
• Able to navigate the linux command line and write basic scripts
• Strong verbal and written communications
• Excellent time management and organization skills

Data at Brex

The Data organization develops insights, models, and data infrastructure for teams across Brex, including Sales, Marketing, Product, Engineering, and Operations. Our Data Scientists, Analysts, and Engineers work together to make data—and insights derived from data—a core asset across the company.

What you’ll do

As a Data Analyst II (DA), you will play a central role in enhancing the operational tracking and reporting capabilities of different business teams across Brex. You will work closely with Data Scientists, Data Engineers, and partner teams to drive meaningful insights for the business through visualizations, self-service tools, and ad-hoc analyses. This is a high-impact role in a fast-paced fintech environment where your work will directly influence strategic decisions.

Where you’ll work

This role will be based in our São Paulo office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities

• Apply data visualization and storytelling skills in creating business intelligence solutions (such as Looker and/or Hex dashboards) that enable actionable insights.
• Perform ad-hoc analyses and deep dives to investigate business questions, surface trends, and provide data-driven recommendations.
• Develop self-service data tools and processes that empower business stakeholders to independently monitor the performance and health of their respective areas.
• Collaborate closely with Data Scientists and Data Engineers to identify data sources, enable data pipelines, and support the development of analytical data models that operationalize reports and dashboards.
• Implement and maintain rigorous data quality checks to ensure the integrity and robustness of datasets used across dashboards, reports, and analyses.
• Partner with various departments—including Sales, Operations, Product, and Finance—to understand their data needs and deliver tailored analyses and reporting that support strategic planning.
• Contribute to the automation of recurring analyses and reporting workflows using Python.

Requirements

• 4+ years of experience in data analytics or a related role in a professional setting.
• 3+ years of experience working directly with Sales, Operations, Product, or equivalent business teams.
• Fluency in SQL to manipulate data and perform complex analyses (CTEs, window functions, joins across large datasets).
• Proficiency in Python for data analysis, automation, and scripting (Pandas, NumPy, and similar libraries).
• Experience with business intelligence and data visualization tools (Looker, Hex, Tableau, or similar).
• Strong quantitative and analytical skills with a demonstrated ability to translate data into business insights.
• Strong communication skills and the ability to work effectively with stakeholders across different functions and levels of technical fluency.
• Experience with generative AI and LLM-based tools (Claude Code, Cursor, GitHub Copilot) to perform and accelerate analyses, automated reporting, and build self-service data tools.

Bonus points

• Familiarity with cloud data platforms (e.g., Snowflake, BigQuery, Databricks).
• Familiarity with dbt for data modeling and transformation.
• Exposure to data pipeline orchestration tools (e.g., Airflow).
• Experience in fintech, financial services, or payments.
• Comfort operating in a fast-paced, high-growth environment with evolving priorities.

Brex LLC is a wholly owned subsidiary of Capital One, N.A.

The Mission 

We are seeking an exceptional Senior Frontend Developer to join our growing Cloud Native Applications team. The right candidate is someone who has deep expertise in developing applications and is passionate about working with our customers, partners, and colleagues to drive innovation forward.

Your mission will be to work alongside Caylent’s Architects, Engineering Managers, and Engineers to deliver AWS solutions across our diverse and forward-thinking customer base. You’ll work with the latest technologies and support customers looking to bring cutting-edge ideas to market.

Your Assignment 

• You will be a mission specialist, rocketing Customers forward as you participate in development activities, standups, sprint planning retrospectives, and more. 
• You will demonstrate Caylent's commitment to being an Exceptional Partner by delivering well-documented, tested, and production-ready code to our customers while diving deep into any problems that may arise across their environments. 
• You will Lead By Example, using your expertise in frontend development to deliver solutions defined by the Design team and led by your Architect, and coach less-experienced developers as your team builds together. 
• You will demonstrate a passion to Stay Curious as you mentor peers, tackle new technologies, and learn from our word-class team of engineers.

Your Qualifications 

Core Consulting Qualifications

Customer Experience

• Committed to delivering exceptional client experiences, professionally responding to customer inquiries, clearly communicating project status, and providing valuable solutions aligned to client needs.

Collaboration

• Demonstrates strong collaboration with internal teams, proactively aligning on priorities, responding to clients, and addressing client feedback.

Communication

• Effectively communicates technical information clearly and actively listens to clients and team members to confirm understanding and prevent miscommunication.

Technical Qualifications

• In depth experience developing with frontend frameworks such as React, Vue, Next.JS, Typescript, Angular
• In-depth experience building and styling components custom or utilizing frameworks such as TailwindCSS, ShadCN, MUI, GatsbyJS
• Experience collaborating closely with UX/UI designers to translate wireframes and prototypes into polished, accessible, and performant front-end experiences.
• Ability to contribute to early design conversations, offering engineering insights to ensure that design visions are both feasible and scalable in implementation.
• Experience using Figma’s Dev Mode to inspect designs, gather specs, access assets, and ensure pixel-perfect implementation aligned with UX intent.
• Ability to design and implement micro animations that enhance user experience, communicate state changes, guide user attention, and add personality to the interface without detracting from usability.
• Demonstrated experience in consuming RESTful services and API integrations.
• Understanding of frontend design patterns such as SPA, MVC, etc.
• Understanding of CSS variables and the process of creating scalable systems
• Proven ability to learn new technology quickly and effectively.
• Desire to integrate innovative technologies into development workflow
• Experience with Generative AI technologies both in accelerating personal productivity (Cursor, Claude Code, GitHub CoPilot, etc) and integrating AI features into a front-end
• Experience participating in a developer git workflow include branching, merging, and deploying front-end code to AWS
• Self-organizing, detail-oriented, and high achieving. 
• Ability to work independently.
• Excellent written and verbal communication. 

Preferred Qualifications

• BS in a computing-related or UI/UX field, or commensurate experience.
• Experience with testing and automation.
• Experience with Large Language Models (LLM) and Generative AI
• Familiarity with design thinking methodologies

Benefits

• 100% remote work
• Private Health Insurance
• Flexible Time Off
• Competitive phantom equity
• Paid for exams and certifications
• Peer bonus awards
• State-of-the-art laptop and tools
• Equipment & Office Stipend
• Individual professional development plan
• Annual stipend for Learning and Development
• Work with an amazing worldwide team and in an incredible corporate culture

The Mission

We are seeking an exceptional Engineering Manager to join our growing Cloud Native Applications practice. The right candidate is someone who is technically strong, experienced in managing a team of Architects and Engineers, capable of overseeing delivery engagements, and passionate about working with our customers, partners, and employees to drive the business forward.

Your Assignment

• Manage a team of 5-8 cloud engineers and architects.
• Define and communicate the value of technical solutions through structured documentation, value charters, and roadmaps.
•  Take on hands-on technical responsibilities, including technical tasks during sprints.
• Lead technical discussions with customers and guide solution direction.
• Handle code reviews and pull request management to ensure code quality.
• Manage task assignments within sprints and ensure timely delivery.
• Provide guidance on roadmap planning, best practices, and risk identification.
• Mentor team members within projects, sharing feedback and supporting growth opportunities.
• Serve as the point of technical escalation for client engagements.
• Kick off new projects and ensure alignment between technical delivery and business goals.
• Support pre-sales through proposal development, contract review, and client presentations.
• Conduct technical interviews for Architect and Engineer candidates.
• Perform 1:1s and support the career growth of your direct reports.
• Navigate customer and team challenges with strong conflict resolution and leadership skills.

Your Qualifications

Core Consulting Qualifications

Customer Experience
● Develops strategies that link business goals to technical solutions and drive measurable value.
● Collaborates with client executives to plan initiatives and enable long-term success.

Collaboration
● Leads discussions with stakeholders to resolve competing priorities and align on outcomes.
● Shapes customer engagement strategies by identifying needs and mapping Caylent
capabilities to business goals.

Communication
● Creates clear, actionable roadmaps focused on customer deliverables.
● Confidently negotiates timelines and resources while providing recommendations rooted in technical and business expertise.

Technical Qualifications

● Previous experience managing a team (preferably in the areas of cloud, devops or application development)
● Experience working with AWS or other cloud-related solutions
● Experience writing, reviewing, and deploying using multiple different coding languages (nodejs, go, react, angular, typescript, python, etc)
● Great verbal and written communication skills
● Experience managing professional services engagements
● Enthusiasm for working in a startup environment and the ability to be cross-functional
● Possess a natural curiosity and excitement for learning new technology
● Desire to integrate innovative technologies into development workflow
● Familiarity with Generative AI technologies
● Technical background in application development

Preferred Qualifications

• Experience working in a client-facing environment
• Experience working in consulting or professional services 
• Experience with testing and automation
• Experience with UI/UX
• Experience building and maintaining CI/CD pipelines
• Bachelor's or Master's degree in Information Technology or related field

Benefits

• 100% remote work
• Flexible Time Off
• Competitive phantom equity
• Paid for exams and certifications
• Peer bonus awards
• State of the art laptop and tools
• Equipment & Office Stipend
• Individual professional development plan
• Annual stipend for Learning and Development
• Work with an amazing worldwide team and in an incredible corporate culture 

The Mission

We are seeking an exceptional Software Architect to join our growing Cloud Native Applications team. The right candidate is someone who has deep expertise in application design and  is passionate about working with our customers, partners, and colleagues to drive innovation forward.
Your mission will be to work alongside Caylent’s Engineers, Architects, Sales, and Project Managers to deliver AWS solutions across our diverse and forward-thinking customer base. You’ll work with the latest technologies and support customers looking to bring cutting-edge ideas to market.

Your Assignment

• You will be a mission control specialist, guiding Cayliens and Customers alike through Agile ceremonies like stand-ups, retrospectives, and more.
• You will translate customer requirements and into a workable backlog of tickets for engineers.
• Delegate tickets to a team of engineers in order to complete customer projects.
• Lead requirements gathering, backlog grooming, and architecture discussions.
• Apply your understanding of DevOps pipelines, including build automation, branching strategies, CI/CD, Infrastructure as Code, security, monitoring, logging, and alerting.
• Troubleshoot and resolve issues in customer dev, test, and production environments.
• Automate software testing at multiple levels (component, configuration item, subsystem, system) and monitor results.
• Write production quality code, including unit and integration tests.
• Work with a team to deliver top-quality cloud native applications on AWS for customers.
• Clearly communicate and document your designs, processes, and procedures.
• You will demonstrate a passion to Stay Curious as you mentor peers, tackle new technologies, and learn from our word-class team of engineers.
• Coach and mentor less experienced teammates, coach and be mentored by world class engineers.

Your Qualifications

Core Consulting Qualifications

Customer Experience
● Confidently addresses client questions and identifies gaps in requirements with proposed next steps.
● Focus on delivering clear, actionable solutions that meet client goals

Collaboration
● Facilitates alignment across stakeholders or technical priorities and deliverables.
● Navigates differing perspectives with professionalism to ensure shared understanding and progress..

Communication
●Breaks down complex technical concepts for non-technical audiences in a clear, concise manner.
● Adapts communication style based on audience and context to improve clarity and decision-making.

Technical Qualifications

● 5+ years of proven experience in software development and cloud-native systems.
● Strong background in established engineering practices and scalable architectures.
● Expertise in web technologies (HTML, CSS) and frameworks (React, Vue, Angular, MVC .Net, etc.).
● Proficiency in server-side scripting (Python, Node.js, PHP, Ruby, etc.).
● Deep knowledge of relational and NoSQL databases (PostgreSQL, MySQL, MongoDB).
● Experience in API integrations across applications, vendors, and cloud environments.
● Understanding of modern application architectures (event-based systems, queues, microservices).
● Development experience on a major cloud platform (AWS, Azure, or GCP).
● Desire to integrate innovative technologies into development workflow
● Familiarity with Generative AI technologies
● Proven ability to lead a workstream and support others while contributing individually.
● Experience configuring AWS resources.

Preferred Qualifications

● BS in a computing-related field, or commensurate experience.
● Experience with testing and automation.
● Experience with UI/UX.
● Experience with Large Language Models (LLM) and Generative AI
● Experience with app dev acceleration tools like Amazon Q Developer, GitHub CoPilot, Cursor.AI, or similar.
● Experience building and maintaining CI/CD pipelines.
● Experience with infrastructure as code tooling (SAM, Cloudformation, Terraform, etc).

Benefits

• 100% remote work
• Private Health Insurance
• Flexible Time Off
• Competitive phantom equity
• Paid for exams and certifications
• Peer bonus awards
• State of the art laptop and tools
• Equipment & Office Stipend
• Individual professional development plan
• Annual stipend for Learning and Development
• Work with an amazing worldwide team and in an incredible corporate culture

This role may require up to 25% travel, depending on business needs.

The Opportunity

This is a senior technical client leadership role that blends deep hands-on ML expertise with strategic advisory and consulting skills. You will be the most experienced ML voice across a diverse and expanding book of customer engagements — from early-stage companies bringing ambitious ML ideas to market, to established enterprises modernizing how they build and operate AI systems on AWS.

You will shape strategy, influence architecture, and leave every team you touch better than you found it. You bring the scientific depth to design and evaluate models rigorously, the engineering depth to architect production ML systems at scale, and the consulting instincts to translate both into business value for customers.

If you have led the hard conversations, shaped the architecture decisions that mattered, and built the things others benchmark against — and you are looking to do that across a growing portfolio of varied and interesting customers — this is the role for you.

What You'll Do

• Lead end-to-end ML assessments across infrastructure, data pipelines, model lifecycle, and organizational readiness — producing recommendations that drive executive decision-making and earn Caylent the next engagement.
• Partner with sales and solutions teams through the proposal and scoping phase, contributing the technical depth needed to shape well-grounded statements of work.
• Serve as the senior technical authority on client engagements — possibly across multiple projects simultaneously — providing architectural guidance, ensuring technical quality from your project team members, and getting hands-on when the engagement demands it, without owning day-to-day implementation responsibilities.
• Own or orchestrate high-quality POCs that give customers confidence before committing to a larger initiative.
• Advise customers on ML operations standards and architecture — covering MLOps pipeline design, model lifecycle management, LLMOps patterns, and production monitoring frameworks — translating operational complexity into decisions and guardrails their teams can own and sustain.
• Shape how Caylent wins its most technically complex opportunities — contributing the architectural thinking and credibility that turns prospects into customers.
• Strengthen the ML practice from the inside — through peer guidance, technical interviews, and contributions to accelerators, reference architectures, and thought leadership content.

What You Bring

The non-negotiables

• 10+ years in machine learning or AI, with a proven track record of leading client-facing engagements in a consulting or advisory capacity.
• Deep, current knowledge of the AWS ML and GenAI ecosystem, with the ability to make and defend architectural decisions across the full ML lifecycle — from data and feature engineering through training, deployment, and monitoring.
• Deep expertise in at least two or three ML domains — whether traditional ML, computer vision, NLP, time series, or others — combined with the judgment to assess, architect, and advise across the broader ML landscape.
• Proven ability to architect and govern production ML systems end-to-end, translating MLOps, LLMOps, and broader AI operations complexity into standards and decisions that engineering teams can execute and executives can act on.
• Deep expertise across foundation model adaptation — fine-tuning (LoRA, QLoRA, PEFT), alignment (RLHF, DPO), inference optimization (quantization, vLLM), and distributed training (DeepSpeed, FSDP) — combined with RAG and agentic system design, including multi-agent architectures, event-driven workflows, MCP integration, and human-in-the-loop patterns on AWS. Technical authority to prescribe the right approach and set architectural standards that teams can execute against.
• Proven ability to operate independently in complex customer environments — navigating ambiguity, aligning stakeholders, and translating ML tradeoffs into business risk and value for both technical and executive audiences.

Strong differentiators

• AWS Certified Machine Learning – Specialty and/or AWS Certified Solutions Architect – Professional.
• Experience shaping practice-level standards, reference architectures, and reusable ML accelerators across multiple engagements.
• Exposure to varied industries and problem types in a consulting or client-facing context.
• Deep fluency in responsible AI practices — model evaluation, bias detection, fairness frameworks, and AI governance — applied in enterprise deployments.
• Hands-on experience designing and deploying SRE agents and AI-driven operations workflows in production — spanning automated incident detection, triage, and remediation — with the ability to integrate across observability platforms and translate AI operations outcomes into measurable business value.

Technical Stack

Our practice spans a broad range of ML domains. Candidates are expected to prescribe — not just recognize — with the judgment to maximize what AWS makes possible and the experience to know how open-source tooling strengthens it.

ML Domains: Classical ML, Computer Vision, NLP, Generative AI & LLMs, AI Agents & Autonomous Systems, Intelligent Document Processing, Video Understanding, Speech & Audio, Time Series & Forecasting, Recommender Systems, Graph ML, Reinforcement Learning, Multimodal AI

AWS ML Platform: SageMaker, SageMaker Pipelines, SageMaker Feature Store, SageMaker Model Registry, SageMaker Clarify, Bedrock (Agents, Knowledge Bases, Guardrails, AgentCore, Model Evaluation)

Multi-provider LLM: Bedrock, Anthropic API, OpenAI API, Google Gemini API, Azure OpenAI — with the judgment to reason across provider tradeoffs in enterprise contexts

AWS AI Services: Rekognition, Comprehend, Transcribe, Textract, Translate, Personalize, Neptune, Kinesis Video Streams, Polly

Data Platform: Apache Spark / PySpark, Apache Kafka, Amazon Kinesis, Apache Iceberg, Delta Lake, Apache Hudi, AWS Glue

Vector Databases: Pinecone, pgvector, Amazon OpenSearch (vector), Weaviate

Frameworks: PyTorch, TensorFlow, JAX, Scikit-learn, XGBoost, HuggingFace (Transformers, PEFT, TRL), LangChain, LlamaIndex, DSPy, Ollama

MLOps & Governance: MLflow, W&B, Airflow / MWAA (data orchestration), Dagster (asset-based pipelines), Kubeflow Pipelines, CI/CD, IaC (CloudFormation, CDK, Terraform), Docker, Kubernetes, ML Governance (lineage, data contracts, audit), Responsible AI / Bias & Fairness

LLM Evaluation & Safety: RAGAS, LLM-as-judge patterns, DeepEval, NeMo Guardrails, Constitutional AI patterns, structured output validation

Inference & Optimization: Triton, vLLM, SGLang, Trainium, Inferentia, Quantization (GPTQ, AWQ, bitsandbytes), SageMaker Neo

Benefits

The Mission

We are seeking an exceptional Principal Software Architect to join our growing Cloud Native Applications team. The right candidate is someone who has deep expertise in application design and is passionate about working with our customers, partners, and colleagues to drive innovation forward. Your mission will be to work alongside Caylent’s Engineers, Architects, Sales, and Project Managers to deliver AWS solutions across our diverse and forward-thinking customer base. You’ll work with the latest technologies and support customers looking to bring cutting-edge ideas to market.

Your Assignment

• Serve as a technical advisor and thought leader across multiple workstreams and strategic customer engagements.
• Collaborate with clients to understand business goals and design high-impact, cloud solutions.
• Lead discovery sessions, create and present technical artifacts, and define long-term architectural strategy.
• Guide small teams or oversee larger teams through implementation and delivery.
• Contribute to Agile ceremonies and provide architectural direction across internal and external projects.
• Create and share public-facing content that showcases Caylent’s innovation and technical leadership.
• Support pre-sales through proposal development, scoping, and technical estimation.
• Mentor Architects and Engineers across projects and practices to elevate technical execution and growth.
• Represent Caylent with delivery excellence and deep technical leadership.

Your Qualifications

Core Consulting Qualifications

Customer Experience
● Builds trust with senior stakeholders through transparency, strategic updates, and reliable delivery.
● Proactively identifies and mitigates risks that could impact customer success or project alignment.

Collaboration
● Facilitates priority alignment and conflict resolution across multi-stakeholder environments.
● Guides cross-functional teams through challenging scenarios with calm, strategic leadership.

Communication
● Handles escalations and scope-related disagreements with professionalism, clarity, and confidence.
● Remains composed in high-stakes or unexpected situations, reinforcing alignment and proposing actionable next steps.

Technical Qualifications

● Deep expertise with AWS cloud services.
● Strong experience writing, reviewing, and deploying code using modern languages (Node.js, Go, React, Angular, TypeScript, Python, etc.).
● Technical background in application development and modern architecture.
● Experience managing customer engagements and contributing to project delivery.
● Desire to integrate innovative technologies into development workflow
● Familiarity with Generative AI technologies
● Proficient in building and maintaining CI/CD pipelines and cloud automation.
● Experience working in client-facing roles within consulting or professional services.

Preferred Qualifications

• Experience working in consulting or professional services 
• Experience with testing and automation
• Experience or exposure with UI/UX related deliverables 
• Experience with Large Language Models (LLM) and Generative AI
• Experience with app dev acceleration tools like Amazon Q Developer, GitHub CoPilot, Cursor.AI, or similar.
• Experience with other cloud-related solutions

Benefits

• 100% remote work
• Generous holidays and flexible PTO
• Competitive phantom equity
• Paid for exams and certifications
• Peer bonus awards
• State of the art laptop and tools
• Equipment & Office Stipend
• Individual professional development plan
• Annual stipend for Learning and Development
• Work with an amazing worldwide team and in an incredible corporate culture

This role may require up to 25% travel, depending on business needs.

Your wellbeing, our mission. Join a company shaping a healthier world.

GET TO KNOW US

At Wellhub we're revolutionizing workplace wellness. Our platform connects employees worldwide to the best partners for fitness, mindfulness, therapy, nutrition, and sleep—all in one simple subscription. Headquartered in NYC with team members in Europe, North America and South America, we’re on a mission to make every company a wellness company.

We believe work should be fulfilling, inspiring, and balanced. Here, you’ll find a team that values wellbeing, collaboration, and different perspectives, where passion and creativity push boundaries to create real impact. Your contributions will help shape a healthier, more balanced world for you and millions of people globally. 

Join us in redefining the future of wellbeing!

THE OPPORTUNITY

We are hiring a Senior Data Engineer for our CARE - Unverified Partner Content team in Brazil! 

We are looking for a passionate and skilled Senior Data Engineer to join our team and help us build the next generation of AI-powered solutions by providing high-quality data to power the engine of Wellhub’s generative AI product and provide partner data to all areas of the company. You will join a team responsible for building and maintaining a comprehensive database of information on our existing and potential partners. This includes discovering and collecting data from various sources and formats (text, photo, video, audio), processing and enriching this data, and transforming it into actionable insights that enhance partner content, user recommendations, business intelligence, and the overall quality of our platform. We expect all candidates to be avid learners, team workers, and not afraid to fail fast and try again.

YOUR IMPACT

• You will develop and maintain data models and structures that enable efficient querying and analysis;
• You will design, develop, and maintain data pipelines to transform and process large volumes of data from various sources, while adding business context and semantics to the data;
• You will implement automated data quality checks to guarantee data quality and consistency across the whole data life cycle..

WHO YOU ARE

• You have created robust and scalable data models from business requirements
• You have worked collaboratively to collect, prepare and analyze complex business data
• You are able to engage engineering and product teams to elicit requirements and present solutions to top management
• Knowledge of data pipeline tools and technologies (e.g., Airflow, EMR, Kafka).
• You are able to collaborate with different teams to understand data needs and develop effective data pipelines
• You are comfortable understanding big data concepts to ingest, process and make data available for data scientists, business analysts and product teams
• You are comfortable maintaining data consistency across the entire data ecosystem
• You are motivated to contribute to a data-driven culture and see the impact of your work reflected company wide

We recognize that individuals approach job applications differently. We strongly encourage all aspiring applicants to go for it, even if they don't match the job description 100%. We welcome your application and will be delighted to explore if you could be a great fit for our team. 

WHAT WE OFFER YOU

With thoughtful benefits, emotional wellbeing resources, and a culture that empowers you to take ownership of your role and your wellbeing, we create an environment where you can thrive in all dimensions of your life. 

Our flexible benefits program allows you to customize some of the benefits, according to your needs!

Our benefits include:

WELLHUB: Free Gold+ membership with access to onsite gyms and studios, digital fitness programs, and online wellness resources for meditation, nutrition, mental wellbeing support, and more! Add up to three family members to your plan, ensuring access to wellness for those who matter most to you.

WELLZ: A complete emotional wellbeing program with a unique approach. It offers personalized journeys that combine individual therapy sessions (52 per year) and on-demand content. 

HEALTHCARE: Health, dental, and life insurance. 

FLEXIBLE WORK: As a Flexible First company, we offer hybrid and remote options to give you the freedom to work in a way that suits you. The model for this specific role can be discussed with your recruiter and hiring manager. When you join, use our home office reimbursement to set up your home office. 

FLEXIBLE SCHEDULE: Flexibility for us isn’t just about where we work—it also means being able to shape how and when we get things done. Together with their leaders, employees define schedules that align with their time zones, team needs, and personal routines.

PAID TIME OFF: It’s important to take time away from work to recharge.Employees receive vacations after 6 months and additional 3 days off per year + 1 day off for each year of tenure (up to 5 additional days) + an extra holiday for your birthday!

PAID PARENTAL LEAVE: Welcoming a new child is one of the most special moments in your life. Take the time to be present and enjoy your growing family. We offer 100% paid parental leave to all new parents. Parents giving birth are eligible for an extended leave and a ramp-back period to return part-time while they get settled.  

CAREER GROWTH: Access world-class platforms, participate in interactive sessions,  build your personalized development roadmap, and explore internal opportunities. We focus on continuous learning and feedback to support your journey toward personal and professional success.

CULTURE: You’ll join a team of passionate people who come together to break boundaries, support each other, and create a meaningful impact in workplace wellness. We win together, building trust through open communication and a culture where every perspective matters. Learn more about our shared culture and values here. 

And to get a glimpse of life at Wellhub… Follow us on Instagram @lifeatwellhub and LinkedIn!

Diversity, Equity, and Belonging at Wellhub

We aim to create a collaborative, supportive, and inclusive space where everyone knows they belong. 

Wellhub is committed to creating a diverse work environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, gender identity or expression, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law.

Our commitment to inclusion also extends to how we recognize and reward our people. We’re proud to be Syndio Fair Pay Certified, reflecting our ongoing dedication to equitable and fair pay practices across our global team. Read more about it here.

Questions on how we treat your personal data? See our Aviso de Privacidade para Candidatos. 

About us

AB InBev is the leading global brewer and one of the world’s top 5 consumer product companies. With over 500 beer brands, we’re number one or two in many of the world’s top beer markets, including North America, Latin America, Europe, Asia, and Africa.

About AB InBev Growth Group

Created in 2022, the Growth Group unifies our business-to-business (B2B), direct-to-consumer (DTC), Sales & Distribution, and Marketing teams. By bringing together global tech and commercial functions, the Growth Group allows us to fully leverage data and drive digital transformation and organic growth for AB InBev around the world.

In addition to supporting well known global beer brands like Corona, Budweiser and Michelob Ultra, the Growth Group is home to a robust suite of digital products including our B2B digital commerce platform BEES, on-demand delivery services Ze Delivery and TaDa Delivery, and table top beer keg PerfectDraft.

We are an exceptional team, focused on understanding and supporting consumer and customer needs, harnessing new technology, and scaling growth opportunities.

About the Role

The Senior Data Scientist will be responsible for developing and leading solutions at the intersection of Computer Vision, Computer Graphics, and Multimodal Models. This role involves tackling strategic challenges, combining traditional computer vision techniques with cutting-edge scene reconstruction and generative AI, focusing on detection, classification, visual similarity, synthetic data generation, and multimodal interpretation. You will act as a technical reference within the team, guiding architectural decisions and defining the best approaches for complex visual problems. You will work in a highly collaborative, global environment, transforming visual data into robust and scalable models, ensuring automation, efficiency, and high performance across implemented pipelines. We are looking for someone with an analytical mindset, curiosity, a strong technical foundation in the mentioned areas, excellent communication skills, a collaborative spirit, and a passion for innovation and continuous learning.

What you'll do

• Define and lead the technical approach for object detection solutions (e.g., YOLO, RT-DETR, and similar architectures), applying them to real-world problems with an emphasis on performance, accuracy, and scalability.
• Define and develop image classification strategies, with experience in architectures such as EfficientNet, MobileNet, and ResNet, focusing on production readiness.
• Lead the development of Siamese networks for verification and visual similarity tasks, applying fine-tuning and optimization strategies for image comparison and visual integrity validation.
• Define and apply multimodal generative and instruction-following models such as Qwen-VL, PaliGemma, and BLIP, using fine-tuning techniques like LoRA and QLoRA, focusing on image-text alignment.
• Knowledge of scene reconstruction techniques such as NeRF or Gaussian Splatting, and hands-on experience with frameworks like Nerfstudio or similar.
• Work with large volumes of visual data, coordinating curation, annotation, and qualitative evaluation strategies to ensure diversity and quality in image datasets.
• Generate and use synthetic and 3D data as complementary sources for training and evaluating models, supporting their creation and curation to enhance model generalization and robustness.
• Automate, version, and monitor training, inference, and deployment pipelines using Python, PySpark, MLflow, GitHub Actions, Docker, and CI/CD, running on cloud infrastructure (especially Azure and Databricks).
• Mentor junior and mid-level data scientists, supporting their technical growth and ensuring quality across the team's deliverables.
• Communicate technical results and trade-offs to senior stakeholders, ensuring strategic alignment of developed solutions.
• Collaborate with data engineers, data scientists, PMs, and business stakeholders, ensuring technical alignment and strategic impact of developed solutions.
• Work in an agile, global environment, participating in Scrum/Kanban ceremonies, technical reviews, and continuous delivery and learning cycles.

What you'll need

• Bachelor's degree in Computer Science, Engineering, Mathematics, or related fields. A master's or PhD is strongly preferred.
• General and foundational knowledge in data science and statistics, including data analysis, modeling, and validation techniques.
• Strong background in Deep Learning, including mastery of Transformer architectures and advanced algorithms applied to real-world problems.
• Proven experience building and deploying models for object detection, image classification, visual information extraction, and multimodal interpretation.
• Proficiency in TensorFlow or PyTorch, with experience in model development and deployment.
• Experience with cloud computing, particularly Azure, Databricks, and Spark, for large-scale data processing.
• Expertise in Python and PySpark, plus familiarity with data manipulation and modeling libraries and frameworks.
• Knowledge of version control and collaboration tools such as GitHub, and experience with CI/CD pipelines for data and model projects.
• Understanding of automation workflows, model monitoring, and best practices for maintaining performance and robustness.
• Experience leading technical projects and guiding architectural decisions in data science or machine learning teams.
• Experience deploying models to production environments, including optimization and monitoring.
• Advanced English to operate in a global environment.
• Strong interpersonal skills, communication, teamwork, organization, autonomy, and focus on delivering high-quality results.

What We Offer:

• Performance based bonus*
• Attendance Bonus* 
• Private pension plan
• Meal Allowance
• Casual office and dress code
• Days off*
• Health, dental, and life insurance
• Medicines discounts
• WellHub partnership
• Childcare subsidies
• Discounts on Ambev products*
• Clube Ben partnership
• Scholarship*
• School materials assurance
• Language and training platforms
• Transport allowance

*Rules applied

Equal Opportunity & Affirmative Action:

AB InBev Growth Group is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon of race, color, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other applicable legally protected characteristics.

The following fields are optional, but anticipate the information for your registration*.

Remember: your data will never be used as elimination criteria in selection processes. With them, AB InBev Growth Group is able to analyze diversity and reduce biases in selection processes. We want to contribute to changing this reality by being an inclusive company. 

For more information: www.abinbev.com 

Sr Staff Software Engineer - CC Core Platforms

About Nubank
Nu is the world’s largest digital banking platform outside of Asia, serving over 123 million customers across Brazil, Mexico, and Colombia. The company has been leading an industry transformation by leveraging data and proprietary technology to develop innovative products and services. Guided by its mission to fight complexity and empower people, Nu caters to customers’ complete financial journey, promoting financial access and advancement with responsible lending and transparency. The company is powered by an efficient and scalable business model that combines low cost to serve with growing returns. Nu’s impact has been recognized in multiple awards, including Time 100 Companies, Fast Company’s Most Innovative Companies, and Forbes World’s Best Banks. The Company is preparing for its next growth cycle where it will accelerate its internationalization process outside Latin America, and will also enter new verticals beyond financial services in its core markets taking advantage of the significant customer penetration.

Nubank History Video
Check out our Blog About Nu 

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

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

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

Core Responsibilities

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

Challenges & Opportunities

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

Core Qualifications (What We’re Looking For)

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

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Mission

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

The Impact You Will Have

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

What We Look For

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

About us 

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

About the team 

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

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

About the role

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

Key responsibilities

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

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

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

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

Qualification Requirements

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

Nice to have Requirements

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

International experience is highly desirable.

Our Benefits

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

Work Model for this Role

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

About us 

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

About the team 

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

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

About the role

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

Key responsibilities

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

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

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

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

Qualification Requirements

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

Nice to have Requirements

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

International experience is highly desirable.

Our Benefits

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

Work Model for this Role

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

Overview:

We are looking for a Staff Engineer in LATAM to join the engineering team! In this role, you will set technical direction across both front-end and back-end systems, helping shape the architecture, performance, reliability, and user experience of our learning platform. You will provide hands-on technical leadership across squads, partner closely with Product and Design, and drive the development of scalable, secure-by-default, AI-powered customer experiences.

This is a high-impact role for an engineer who can move fluidly across the stack, from high-traffic user interfaces to high-scale services, while mentoring engineers and raising the technical bar across the organization.

About Nerdy:

At Nerdy (NYSE: NRDY) -  the company behind Varsity Tutors - we’re redrawing the blueprint of learning. Our Live + AI™ platform fuses real-time human expertise with proprietary generative-AI systems, setting a new bar for measurable academic impact at global scale. 

We recruit the kind of technologists and operators you’d bet on as solo founders - people who turn ambiguous problems into shipping code, iterate faster than markets move, and compound their advantage with every data point. In an era where great employees can deliver 10-times the leverage of the merely good, we back those who play to win.

Fortune favors the bold. Join us.

How we compete:

• AI-Native at every level
  From the CEO to day-one hires, everyone builds and ships with generative AI. If you’re not wielding AI, you’re not done.

• Entrepreneurial velocity
  Move at founder speed, prototype in hours, and measure in real user outcomes. Slow teams die.

• Free-market rigor
  Ideas rise or fall on merit and results - no committees, no politics, no cap on upside.

• Full-stack ownership
  You design, build, and run what you ship; accountability is a feature, not a bug.

• Reward for contribution
  Pay rises with impact, not years. Outstanding results earn outsized rewards. We evaluate both what you achieve and howyou achieve it: living our leadership principles and using AI effectively are formally measured and rewarded.

• Relentless exploration
  Push the frontier of generative AI in live learning and - because only the paranoid survive - questioning every legacy assumption along the way.

• Is Apolitical
  You stay focused on mission-aligned outcomes, not distractions or unrelated causes.

If you’re a technically minded builder who thrives on open competition, personal responsibility, and the chance to redefine how the world learns - while continually stretching the limits of what generative AI can do - come do the most ambitious and rewarding work of your career here. Learn more atnerdy.com.

Nerdy’s shareholder letters below explain our latest products and strategy:

• Q4-2025 Shareholder Letter

• Q3-2025 Shareholder Letter

• Q2-2025 Shareholder Letter

Responsibilities

• Technical Leadership: Serve as the technical point of reference for the squad and broader engineering team, ensuring best practices in architecture, performance optimization, and accessibility standards are upheld.

• Solution Design: Lead the design and architectural discussions for systems, making pivotal decisions on frameworks, state management patterns, component architecture, and design systems.

• Code Quality: Advocate for and ensure the delivery of high-quality, maintainable, and scalable code. Conduct regular code reviews and provide mentorship to team members.

• Collaboration: Work closely with product managers, designers, and other stakeholders to understand requirements, provide technical insights, and ensure the timely delivery of features.

• Strategy and Vision: Contribute to the engineering department's strategy and vision, bringing innovative ideas to improve our customer-facing experiences.

• Problem Solving: Address complex technical challenges, innovate solutions, and optimize existing systems for scalability and performance.

• Team Development: Mentor and develop team members, helping them to grow in their technical roles and careers.

• AI Enablement: Leverage AI-native tools and approaches to improve development speed, product capabilities, and engineering effectiveness across the software lifecycle.

Qualifications:

• Minimum of 10 years of software engineering experience, with a proven track record of building and evolving complex, high-scale systems and customer-facing applications.

• Strong full-stack expertise, including domain in:

           Frontend: JavaScript, TypeScript

           Backend: Javascript, Java, Golang 

• Explicit mentoring of senior-level engineers regularly, leading to results.

• Significant experience in AWS-based cloud architecture environments.

• In-depth knowledge of modern software engineering practices, design patterns, and architectures.

• Experienced with AI-native tools that enhance productivity and speed (Cursor, Make.com, Supabase, Netlify, Claude Code, n8n, Firecrawl, ChatGPT, Grok, Bolt, Vercel, etc).

• Ability to communicate complex technical concepts clearly to both technical and non-technical stakeholders.

• Experience designing high-traffic web applications and scalable distributed services.

• Demonstrated experience in collaborating with multidisciplinary teams.

• Excellent problem-solving and analytical skills.

• A strong owner willing to roll up their sleeves. This role includes coding and reviewing the code of others.

• Ability to implement customer-facing solutions that solve the customers' true needs with exceptional user experiences.

• Nerdy is an apolitical company focused solely on helping people learn, and we achieve the most when united in this mission.

Unleash Your Potential at Nerdy:

At Nerdy, you'll earn your success through meritocracy and exceptional outcomes. Our benefits reward performance and initiative:

• Competitive USD Compensation: Enjoy a market-leading rate paid in U.S. dollars.

• 100% Remote (Home Country Only): Work from anywhere in your home country—no relocation required, no borders crossed.

• Flexible Time Off: Our flexible PTO lets you recharge on your own terms and when you need it the most.

• Local Holiday Pay: We honor your nation’s official holidays with paid time off—celebrate what matters to you.

• Continuous Learning: Get a free, all-inclusive learning membership for you and your household—including 1-on-1 tutoring hours, unlimited on-demand classes, and access to our full suite of learning products and services.

• Supercharge with AI: Gain exclusive access to cutting-edge AI tools that boost your productivity, making you feel almost super-human (cape not included).

• Feedback-Rich, Collaborative Culture: Tap into regular training, peer reviews, and a team that treats every team member as a vital collaborator and owner in our success.

• Make a Global Impact: Your expertise fuels an innovative platform used by learners around the world—be part of something transformative.

The Bottom Line:

If you're driven by impact, energized by ownership, and excited to help shape what’s next, you’ll thrive here. We move fast, think big, and reward those who deliver. This isn’t a traditional corporate environment - it’s a place to do the most meaningful work of your career.

Overview:

We are looking for a Staff Engineer in LATAM to join the engineering team! In this role, you will set technical direction across both front-end and back-end systems, helping shape the architecture, performance, reliability, and user experience of our learning platform. You will provide hands-on technical leadership across squads, partner closely with Product and Design, and drive the development of scalable, secure-by-default, AI-powered customer experiences.

This is a high-impact role for an engineer who can move fluidly across the stack, from high-traffic user interfaces to high-scale services, while mentoring engineers and raising the technical bar across the organization.

About Nerdy:

At Nerdy (NYSE: NRDY) -  the company behind Varsity Tutors - we’re redrawing the blueprint of learning. Our Live + AI™ platform fuses real-time human expertise with proprietary generative-AI systems, setting a new bar for measurable academic impact at global scale. 

We recruit the kind of technologists and operators you’d bet on as solo founders - people who turn ambiguous problems into shipping code, iterate faster than markets move, and compound their advantage with every data point. In an era where great employees can deliver 10-times the leverage of the merely good, we back those who play to win.

Fortune favors the bold. Join us.

How we compete:

• AI-Native at every level
  From the CEO to day-one hires, everyone builds and ships with generative AI. If you’re not wielding AI, you’re not done.

• Entrepreneurial velocity
  Move at founder speed, prototype in hours, and measure in real user outcomes. Slow teams die.

• Free-market rigor
  Ideas rise or fall on merit and results - no committees, no politics, no cap on upside.

• Full-stack ownership
  You design, build, and run what you ship; accountability is a feature, not a bug.

• Reward for contribution
  Pay rises with impact, not years. Outstanding results earn outsized rewards. We evaluate both what you achieve and howyou achieve it: living our leadership principles and using AI effectively are formally measured and rewarded.

• Relentless exploration
  Push the frontier of generative AI in live learning and - because only the paranoid survive - questioning every legacy assumption along the way.

• Is Apolitical
  You stay focused on mission-aligned outcomes, not distractions or unrelated causes.

If you’re a technically minded builder who thrives on open competition, personal responsibility, and the chance to redefine how the world learns - while continually stretching the limits of what generative AI can do - come do the most ambitious and rewarding work of your career here. Learn more atnerdy.com.

Nerdy’s shareholder letters below explain our latest products and strategy:

• Q4-2025 Shareholder Letter

• Q3-2025 Shareholder Letter

• Q2-2025 Shareholder Letter

Responsibilities

• Technical Leadership: Serve as the technical point of reference for the squad and broader engineering team, ensuring best practices in architecture, performance optimization, and accessibility standards are upheld.

• Solution Design: Lead the design and architectural discussions for systems, making pivotal decisions on frameworks, state management patterns, component architecture, and design systems.

• Code Quality: Advocate for and ensure the delivery of high-quality, maintainable, and scalable code. Conduct regular code reviews and provide mentorship to team members.

• Collaboration: Work closely with product managers, designers, and other stakeholders to understand requirements, provide technical insights, and ensure the timely delivery of features.

• Strategy and Vision: Contribute to the engineering department's strategy and vision, bringing innovative ideas to improve our customer-facing experiences.

• Problem Solving: Address complex technical challenges, innovate solutions, and optimize existing systems for scalability and performance.

• Team Development: Mentor and develop team members, helping them to grow in their technical roles and careers.

• AI Enablement: Leverage AI-native tools and approaches to improve development speed, product capabilities, and engineering effectiveness across the software lifecycle.

Qualifications:

• Minimum of 10 years of software engineering experience, with a proven track record of building and evolving complex, high-scale systems and customer-facing applications.

• Strong full-stack expertise, including domain in:

           Frontend: JavaScript, TypeScript

           Backend: Javascript, Java, Golang 

• Explicit mentoring of senior-level engineers regularly, leading to results.

• Significant experience in AWS-based cloud architecture environments.

• In-depth knowledge of modern software engineering practices, design patterns, and architectures.

• Experienced with AI-native tools that enhance productivity and speed (Cursor, Make.com, Supabase, Netlify, Claude Code, n8n, Firecrawl, ChatGPT, Grok, Bolt, Vercel, etc).

• Ability to communicate complex technical concepts clearly to both technical and non-technical stakeholders.

• Experience designing high-traffic web applications and scalable distributed services.

• Demonstrated experience in collaborating with multidisciplinary teams.

• Excellent problem-solving and analytical skills.

• A strong owner willing to roll up their sleeves. This role includes coding and reviewing the code of others.

• Ability to implement customer-facing solutions that solve the customers' true needs with exceptional user experiences.

• Nerdy is an apolitical company focused solely on helping people learn, and we achieve the most when united in this mission.

Unleash Your Potential at Nerdy:

At Nerdy, you'll earn your success through meritocracy and exceptional outcomes. Our benefits reward performance and initiative:

• Competitive USD Compensation: Enjoy a market-leading rate paid in U.S. dollars.

• 100% Remote (Home Country Only): Work from anywhere in your home country—no relocation required, no borders crossed.

• Flexible Time Off: Our flexible PTO lets you recharge on your own terms and when you need it the most.

• Local Holiday Pay: We honor your nation’s official holidays with paid time off—celebrate what matters to you.

• Continuous Learning: Get a free, all-inclusive learning membership for you and your household—including 1-on-1 tutoring hours, unlimited on-demand classes, and access to our full suite of learning products and services.

• Supercharge with AI: Gain exclusive access to cutting-edge AI tools that boost your productivity, making you feel almost super-human (cape not included).

• Feedback-Rich, Collaborative Culture: Tap into regular training, peer reviews, and a team that treats every team member as a vital collaborator and owner in our success.

• Make a Global Impact: Your expertise fuels an innovative platform used by learners around the world—be part of something transformative.

The Bottom Line:

If you're driven by impact, energized by ownership, and excited to help shape what’s next, you’ll thrive here. We move fast, think big, and reward those who deliver. This isn’t a traditional corporate environment - it’s a place to do the most meaningful work of your career.

Who We Are

Build. Scale. Sustain.

PALO IT is a global technology consultancy that crafts tech as a force for good. We design, develop and scale digital and sustainable products and services to unlock value across the triple bottom line: people, planet, profit. We do the right thing, and we do it right. We're proud to be a World Economic Forum New Champion, and a B Corp-certified company.

• We are small enough to care locally, big enough to deliver globally (5 continents, 18 offices, +650 experts from +50 nationalities)

• We are robust and resilient (100% independent and 0 debt)

• We are entrepreneurs and passionate experts: We invest in what we believe genuinely and work as a collective intelligence

• We are positive, courageous, caring, doers and committed to excellence

About Gen-e2

While the market is still largely AI-augmenting delivery, we have reinvented the SDLC to be AI First. Our approach is a game-changer in productivity and quality, with a strong collaboration between AI generative and our best talents:

• We now generate 95% of the entire product — code, documentation, infrastructure as code, and even design — with GitHub Copilot

• The quality consistently exceeds the output of our best traditional engineering teams

• A product repository houses all product artefacts, giving AI full project context

• A library of rules and prompts ensures enterprise-grade quality and scalability

With Gen-e2, we deliver products 2–3× faster while raising the bar for engineering excellence.

Your Role 

As a Test Engineer, you will play a critical role in ensuring product quality across complex migration and delivery phases, combining automation, performance testing, and AI-driven QA practices.

• Design and implement a comprehensive test strategy covering all migration phases and environments

• Execute functional testing including E2E scenarios, API contract testing (Pact), integration testing, and regression suites

• Conduct performance testing using K6/JMeter, validating scalability (18+ concurrent users, 95%+ success rate, <80s execution time)

• Build and maintain test automation pipelines integrated into CI/CD (unit → integration → E2E → performance)

• Develop smoke testing strategies for cutover readiness and production validation

• Manage test data lifecycle, including provisioning scripts and anonymization of production data

• Define and enforce quality gates within CI/CD pipelines

• Produce and maintain test deliverables: test strategies, automated suites, performance reports, and data scripts

• Collaborate with cross-functional teams (developers, DevOps, product) to ensure quality-first delivery

• Leverage observability tools (Dynatrace, ELK, Grafana) to monitor system behavior and validate performance

Who You Are

• 3+ years of experience in QA engineering / test automation

• Strong expertise in API testing and contract testing (Pact, RestAssured, Postman/Newman)

• Experience with test automation frameworks (Selenium, TestContainers)

• Hands-on experience with performance testing tools (K6, JMeter)

• Solid understanding of CI/CD pipelines (Jenkins, GitLab CI)

• Experience working with test management tools (Jira, Xray)

• Knowledge of monitoring & observability tools (Dynatrace, ELK, Grafana)

• Proficiency in SQL and test data generation tools (Faker, Mockaroo)

• Familiarity with microservices architecture and distributed systems

• Strong analytical mindset with attention to detail

• Ability to work in Agile environments and collaborate cross-functionally

• English proficiency (B2+ or higher)

More About PALO IT

We’re eager to adapt to change, learn from our experiences and move to meet our planet’s urgent needs:

• Become a climate net-zero company

• Deliver projects with a positive impact

• Train 100% of our workforce on impact

• Achieve B Corp certification globally

• Continuously improve employee happiness

What We Offer

• Stimulating working environments

• Unique career path

• International mobility

• Internal R&D projects

• Knowledge sharing

• Personalized training

• Entrepreneurship & intrapreneurship

Your wellbeing, our mission. Join a company shaping a healthier world.

GET TO KNOW US

At Wellhub we're revolutionizing workplace wellness. Our platform connects employees worldwide to the best partners for fitness, mindfulness, therapy, nutrition, and sleep—all in one simple subscription. Headquartered in NYC with team members in Europe, North America and South America, we’re on a mission to make every company a wellness company.

We believe work should be fulfilling, inspiring, and balanced. Here, you’ll find a team that values wellbeing, collaboration, and different perspectives, where passion and creativity push boundaries to create real impact. Your contributions will help shape a healthier, more balanced world for you and millions of people globally. 

Join us in redefining the future of wellbeing!

THE OPPORTUNITY

We are hiring a Manager Data Scientist to our Engagement & Platform team in Brazil! This is a Remote – Brazil position, meaning you can work from anywhere within the country. Please note that this role is only open to candidates in Brazil. 

As a Data Science Manager, you will be responsible for shaping the ML and experimentation strategy behind our engagement system, including ML models (e.g., contextual bandits, reinforcement learning, classification, etc) and AI agents that produce dynamic, personalized nudges to the Wellhub AI users. You will work closely with Product, Engineering, and Data Scientists to design, build, and evaluate systems that operate at scale. This role also includes people management, mentoring, and raising the bar on scientific rigor across the team.

YOUR IMPACT

• Machine Learning Systems: Design and develop ML models for outreach personalization, including contextual bandits, reinforcement learning, and classification models.
• AI Agents: Design and develop AI agents that generate dynamic, personalized nudge content and conversational interventions.
• A/B Testing & Experimentation: Design and analyze large-scale A/B tests and experimentation frameworks to evaluate ML models, data-driven signals, nudges, and content strategies. Define success metrics and ensure statistically sound experimentation practices.
• Data Pipelines & Analytics: Collaborate on the design of data pipelines and event schemas that feed the product, ensuring high-quality data for real-time decisioning and offline analysis.
• Evaluation & Monitoring: Define and implement robust monitoring frameworks for the product, including short-term engagement metrics, longer-term retention, opt-outs, and intervention fatigue.
• Leadership & People Management: Lead, mentor, and grow the data scientists of the team. Set technical direction, ensure high-quality delivery, and foster strong collaboration with Product and Engineering stakeholders.
• Live the mission: inspire and empower others by genuinely caring for your own wellbeing and your colleagues. Bring wellbeing to the forefront of work, and create a supportive environment where everyone feels comfortable taking care of themselves, taking time off, and finding work-life wellness.

WHO YOU ARE

• BSc., Master’s or PhD degree in Computer Science, Data Science, Machine Learning, Statistics, or a related field;
• At least 8 years of professional experience in Data Science, Machine Learning, or Applied AI roles;
• At least 3 years of experience in people management, leading and developing data science teams;
• Strong proficiency in Python and experience with ML frameworks (e.g., Vowpal Wabbit, PyTorch, or similar);
• Strong foundation in experimentation, A/B testing, and large-scale experimentation design and analysis;
• Experience working with Generative AI systems in production environments;
• Solid problem-solving skills and ability to translate product goals into measurable, data-driven solutions;
• Strong communication skills and ability to work cross-functionally with Product and Engineering teams.

Preferred Qualifications:

• Experience applying ML techniques such as contextual bandits, reinforcement learning, and classification models in production systems.
• Familiarity with real-time or near-real-time decisioning systems for personalization.
• Experience designing data pipelines or collaborating closely with data engineering teams.
• Background in consumer products or digital health is a plus.

We recognize that individuals approach job applications differently. We strongly encourage all aspiring applicants to go for it, even if they don't match the job description 100%. We welcome your application and will be delighted to explore if you could be a great fit for our team. For this specific role, please note that prior experience in Machine Learning and people management are mandatory requirements.

WHAT WE OFFER YOU

With thoughtful benefits, emotional wellbeing resources, and a culture that empowers you to take ownership of your role and your wellbeing, we create an environment where you can thrive in all dimensions of your life. 

Our flexible benefits program allows you to customize some of the benefits, according to your needs!

Our benefits include:

WELLHUB: Free Gold+ membership with access to onsite gyms and studios, digital fitness programs, and online wellness resources for meditation, nutrition, mental wellbeing support, and more! Add up to three family members to your plan, ensuring access to wellness for those who matter most to you.

WELLZ: A complete emotional wellbeing program with a unique approach. It offers personalized journeys that combine individual therapy sessions (52 per year) and on-demand content. 

HEALTHCARE: Health, dental, and life insurance. 

FLEXIBLE WORK: As a Flexible First company, we offer hybrid and remote options to give you the freedom to work in a way that suits you. The model for this specific role can be discussed with your recruiter and hiring manager. When you join, use our home office reimbursement to set up your home office. 

FLEXIBLE SCHEDULE: Flexibility for us isn’t just about where we work—it also means being able to shape how and when we get things done. Together with their leaders, employees define schedules that align with their time zones, team needs, and personal routines.

PAID TIME OFF: It’s important to take time away from work to recharge.Employees receive vacations after 6 months and additional 3 days off per year + 1 day off for each year of tenure (up to 5 additional days) + an extra holiday for your birthday!

PAID PARENTAL LEAVE: Welcoming a new child is one of the most special moments in your life. Take the time to be present and enjoy your growing family. We offer 100% paid parental leave to all new parents. Parents giving birth are eligible for an extended leave and a ramp-back period to return part-time while they get settled.  

CAREER GROWTH: Access world-class platforms, participate in interactive sessions,  build your personalized development roadmap, and explore internal opportunities. We focus on continuous learning and feedback to support your journey toward personal and professional success.

CULTURE: You’ll join a team of passionate people who come together to break boundaries, support each other, and create a meaningful impact in workplace wellness. We win together, building trust through open communication and a culture where every perspective matters. Learn more about our shared culture and values here. 

And to get a glimpse of life at Wellhub… Follow us on Instagram @lifeatwellhub and LinkedIn!

Diversity, Equity, and Belonging at Wellhub

We aim to create a collaborative, supportive, and inclusive space where everyone knows they belong. 

Wellhub is committed to creating a diverse work environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, gender identity or expression, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law.

Our commitment to inclusion also extends to how we recognize and reward our people. We’re proud to be Syndio Fair Pay Certified, reflecting our ongoing dedication to equitable and fair pay practices across our global team. Read more about it here.

Questions on how we treat your personal data? See our Aviso de Privacidade para Candidatos.

#LI-REMOTE

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 Data Scientist to join our Generative AI team. The candidate will focus on training and fine-tuning Visual Language Models (VLMs) for multimodal document understanding. The ideal candidate will leverage their expertise in machine learning and computer vision to advance Xometry's capabilities in processing and extracting structured data from complex documents and images. This is a 1-year contract.  

Responsibilities:

• Develop, fine-tune, and evaluate Visual Language Models (VLMs) to enhance document understanding, focusing on multimodal data such as text, images, and technical drawings.
• Design and implement data preparation, cleaning, and augmentation processes tailored to multimodal model training, ensuring high-quality data pipelines for VLMs.
• Leverage transfer learning and pre-trained models to accelerate model development and optimize performance on Xometry’s specific data.
• Use cloud resources (e.g., Amazon Web Services) to scale training and fine-tuning processes for VLMs efficiently.
• Collaborate with data engineering and machine learning operations (MLOps) teams to deploy VLMs into production and monitor their performance.
• Interpret model outputs and improve model accuracy and robustness by applying data analysis and visualization tools (such as Python, Jupyter Notebooks, and SQL).
• Experiment with and implement state-of-the-art model architectures, continuously optimizing VLM performance in a fast-paced, iterative environment.
• Work within a team-oriented setting, participating in peer reviews, sharing insights, and contributing to an environment of continuous learning and improvement.

Qualifications:

• A bachelor’s degree is required; an advanced degree (M.S. or PhD) in computer science, data science, machine learning, or a related field is highly preferred.
• 5+ years of experience in data science and machine learning, with expertise in Visual Language Models or multimodal machine learning.
• Strong experience with machine learning libraries and frameworks such as PyTorch, TensorFlow, or Hugging Face.
• Proficiency in Python, including libraries like pandas, numpy, and scikit-learn.
• Solid understanding of deep learning techniques and experience with transfer learning, fine-tuning, and model evaluation.
• Experience with cloud platforms (e.g., AWS SageMaker) for model training and deployment.
• Familiarity with data processing and visualization tools (SQL, Jupyter Notebooks, Looker, etc.) and basic database knowledge (e.g., Snowflake, MongoDB).
• Excellent analytical and problem-solving skills, with a strong ability to work in an environment that values teamwork, innovation, and continuous learning.
• Familiarity with computer vision tasks and frameworks, as well as experience with multimodal data, is a plus.

#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

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

Overview:
We are looking for Senior Software Engineers in LATAM to join the engineering team to help with our ongoing growth and expansion! Your focus would be on building products using Javascript and Typescript and a core Object-Oriented Programming language like Java/C++/C#. We have a complete CI/CD software lifecycle and an evolving services-oriented architecture hosted in AWS. We require Senior Software Engineers with a strong focus on AI-Native development. Proficiency in utilizing various Agentic coding tools to significantly amplify impact and accelerate implementations is essential for this role.

As a Senior Software Engineer, you’ll help shape how students, educators, and institutions interact with our technology. Whether it’s building a seamless class discovery flow, improving accessibility and performance, or integrating AI into real-time classroom experiences, your work will directly impact how people learn every day. You’ll collaborate with Product, Design, and Engineering to create fast, elegant, and responsive interfaces that bring our innovations to life.

About Nerdy:

At Nerdy (NYSE: NRDY) -  the company behind Varsity Tutors - we’re redrawing the blueprint of learning. Our Live + AI™ platform fuses real-time human expertise with proprietary generative-AI systems, setting a new bar for measurable academic impact at global scale. We recruit the kind of technologists and operators you’d bet on as solo founders - people who turn ambiguous problems into shipping code, iterate faster than markets move, and compound their advantage with every data point. In an era where great employees can deliver 10-times the leverage of the merely good, we back those who play to win.

Fortune favors the bold. Join us.

How we compete:

• AI-Native at every level
  From the CEO to day-one hires, everyone builds and ships with generative AI. If you’re not wielding AI, you’re not done.

• Entrepreneurial velocity
  Move at founder speed, prototype in hours, and measure in real user outcomes. Slow teams die.

• Free-market rigor
  Ideas rise or fall on merit and results - no committees, no politics, no cap on upside.

• Full-stack ownership
  You design, build, and run what you ship; accountability is a feature, not a bug.

• Reward for contribution
  Pay rises with impact, not years. Outstanding results earn outsized rewards. We evaluate both what you achieve and how you achieve it: living our leadership principles and using AI effectively are formally measured and rewarded.

• Relentless exploration
  Push the frontier of generative AI in live learning and - because only the paranoid survive - questioning every legacy assumption along the way.

• Is Apolitical
  You stay focused on mission-aligned outcomes, not distractions or unrelated causes.

If you’re a technically minded builder who thrives on open competition, personal responsibility, and the chance to redefine how the world learns - while continually stretching the limits of what generative AI can do - come do the most ambitious and rewarding work of your career here. Learn more at nerdy.com.

Nerdy’s shareholder letters below explain our latest products and strategy:

• Q4-2025 Shareholder Letter
• Q3-2025 Shareholder Letter
• Q2-2025 Shareholder Letter

Qualifications:

• Experience with Javascript and Typescript.
• Experience with a core Object-Oriented Programming language like Java/C++/C#
• Familiarity with backend services & technologies is a plus.
• Experience with deployment systems (e.g. GitHub Actions, AWS CodeDeploy).
• Familiarity with AWS Services (e.g. RDS, Lambda, EC2, et cetera).
• Familiarity with the Linux operating system and command-line tools.
• Understanding of OO design, algorithms, and data structures.
• Aptitude to quickly learn new languages and technologies as necessary.
• Experience developing websites that are visited by thousands of visitors daily.
• Experience with enhancing SEO performance.
• Experienced with AI-native tools that enhance productivity and speed (e.g., Cursor, Make, Supabase, Netlify, Claude Code, n8n, Firecrawl, ChatGPT, Grok, Bolt, Vercel, etc).
• Understand and appreciate that Nerdy is an apolitical company and that we can have the largest impact if we are united in our focus on helping people learn and not divided or distracted by advancing unrelated causes.
• Computer Science or related degree preferred.
• Fluent in English.

Responsibilities:

• Write performant, maintainable code that is easy to read and well-documented.
• Write automated tests to thoroughly validate the correctness of your code.
• Deploy large-scale web applications.
• Have a focus on quality, and operate iteratively to get from good to better.
• Be a part of your team’s on-call rotation; we all own our code end-to-end from development to deployment to operations.
• Come ready to learn from some of the best and brightest in the industry.
• Work independently and collaboratively in a dynamic and fast-moving team.
• Be effective in a team environment working with fellow engineers, product management, and design.

Unlock Your Full Potential at Nerdy:

Join our worldwide team—work from home, get great pay, and help shape the future of learning. Here’s what you get:

• Competitive USD Compensation: Enjoy a market-leading rate paid in U.S. dollars.

• 100% Remote (Home Country Only): Work from anywhere in your home country—no relocation required, no borders crossed.

• Flexible Time Off: Our flexible PTO lets you recharge on your own terms and when you need it the most.

• Local Holiday Pay: We honor your nation’s official holidays with paid time off—celebrate what matters to you.

• Continuous Learning: Get a free, all-inclusive learning membership for you and your household—including 1-on-1 tutoring hours, unlimited on-demand classes, and access to our full suite of learning products and services.

• Supercharge with AI: Gain exclusive access to cutting-edge AI tools that boost your productivity, making you feel almost super-human (cape not included).

• Feedback-Rich, Collaborative Culture: Tap into regular training, peer reviews, and a team that treats every team member as a vital collaborator and owner in our success.

• Make a Global Impact: Your expertise fuels an innovative platform used by learners around the world—be part of something transformative.

The Bottom Line:

If you're driven by impact, energized by ownership, and excited to help shape what’s next, you’ll thrive here. We move fast, think big, and reward those who deliver. This isn’t a traditional corporate environment - it’s a place to do the most meaningful work of your career.

Overview:
We are looking for Senior Software Engineers in LATAM to join the engineering team to help with our ongoing growth and expansion! Your focus would be on building products using Javascript and Typescript and a core Object-Oriented Programming language like Java/C++/C#. We have a complete CI/CD software lifecycle and an evolving services-oriented architecture hosted in AWS. We require Senior Software Engineers with a strong focus on AI-Native development. Proficiency in utilizing various Agentic coding tools to significantly amplify impact and accelerate implementations is essential for this role.

As a Senior Software Engineer, you’ll help shape how students, educators, and institutions interact with our technology. Whether it’s building a seamless class discovery flow, improving accessibility and performance, or integrating AI into real-time classroom experiences, your work will directly impact how people learn every day. You’ll collaborate with Product, Design, and Engineering to create fast, elegant, and responsive interfaces that bring our innovations to life.

About Nerdy:

At Nerdy (NYSE: NRDY) -  the company behind Varsity Tutors - we’re redrawing the blueprint of learning. Our Live + AI™ platform fuses real-time human expertise with proprietary generative-AI systems, setting a new bar for measurable academic impact at global scale. We recruit the kind of technologists and operators you’d bet on as solo founders - people who turn ambiguous problems into shipping code, iterate faster than markets move, and compound their advantage with every data point. In an era where great employees can deliver 10-times the leverage of the merely good, we back those who play to win.

Fortune favors the bold. Join us.

How we compete:

• AI-Native at every level
  From the CEO to day-one hires, everyone builds and ships with generative AI. If you’re not wielding AI, you’re not done.

• Entrepreneurial velocity
  Move at founder speed, prototype in hours, and measure in real user outcomes. Slow teams die.

• Free-market rigor
  Ideas rise or fall on merit and results - no committees, no politics, no cap on upside.

• Full-stack ownership
  You design, build, and run what you ship; accountability is a feature, not a bug.

• Reward for contribution
  Pay rises with impact, not years. Outstanding results earn outsized rewards. We evaluate both what you achieve and how you achieve it: living our leadership principles and using AI effectively are formally measured and rewarded.

• Relentless exploration
  Push the frontier of generative AI in live learning and - because only the paranoid survive - questioning every legacy assumption along the way.

• Is Apolitical
  You stay focused on mission-aligned outcomes, not distractions or unrelated causes.

If you’re a technically minded builder who thrives on open competition, personal responsibility, and the chance to redefine how the world learns - while continually stretching the limits of what generative AI can do - come do the most ambitious and rewarding work of your career here. Learn more at nerdy.com.

Nerdy’s shareholder letters below explain our latest products and strategy:

• Q4-2025 Shareholder Letter
• Q3-2025 Shareholder Letter
• Q2-2025 Shareholder Letter

Qualifications:

• Experience with Javascript and Typescript.
• Experience with a core Object-Oriented Programming language like Java/C++/C#
• Familiarity with backend services & technologies is a plus.
• Experience with deployment systems (e.g. GitHub Actions, AWS CodeDeploy).
• Familiarity with AWS Services (e.g. RDS, Lambda, EC2, et cetera).
• Familiarity with the Linux operating system and command-line tools.
• Understanding of OO design, algorithms, and data structures.
• Aptitude to quickly learn new languages and technologies as necessary.
• Experience developing websites that are visited by thousands of visitors daily.
• Experience with enhancing SEO performance.
• Experienced with AI-native tools that enhance productivity and speed (e.g., Cursor, Make, Supabase, Netlify, Claude Code, n8n, Firecrawl, ChatGPT, Grok, Bolt, Vercel, etc).
• Understand and appreciate that Nerdy is an apolitical company and that we can have the largest impact if we are united in our focus on helping people learn and not divided or distracted by advancing unrelated causes.
• Computer Science or related degree preferred.
• Fluent in English.

Responsibilities:

• Write performant, maintainable code that is easy to read and well-documented.
• Write automated tests to thoroughly validate the correctness of your code.
• Deploy large-scale web applications.
• Have a focus on quality, and operate iteratively to get from good to better.
• Be a part of your team’s on-call rotation; we all own our code end-to-end from development to deployment to operations.
• Come ready to learn from some of the best and brightest in the industry.
• Work independently and collaboratively in a dynamic and fast-moving team.
• Be effective in a team environment working with fellow engineers, product management, and design.

Unlock Your Full Potential at Nerdy:

Join our worldwide team—work from home, get great pay, and help shape the future of learning. Here’s what you get:

• Competitive USD Compensation: Enjoy a market-leading rate paid in U.S. dollars.

• 100% Remote (Home Country Only): Work from anywhere in your home country—no relocation required, no borders crossed.

• Flexible Time Off: Our flexible PTO lets you recharge on your own terms and when you need it the most.

• Local Holiday Pay: We honor your nation’s official holidays with paid time off—celebrate what matters to you.

• Continuous Learning: Get a free, all-inclusive learning membership for you and your household—including 1-on-1 tutoring hours, unlimited on-demand classes, and access to our full suite of learning products and services.

• Supercharge with AI: Gain exclusive access to cutting-edge AI tools that boost your productivity, making you feel almost super-human (cape not included).

• Feedback-Rich, Collaborative Culture: Tap into regular training, peer reviews, and a team that treats every team member as a vital collaborator and owner in our success.

• Make a Global Impact: Your expertise fuels an innovative platform used by learners around the world—be part of something transformative.

The Bottom Line:

If you're driven by impact, energized by ownership, and excited to help shape what’s next, you’ll thrive here. We move fast, think big, and reward those who deliver. This isn’t a traditional corporate environment - it’s a place to do the most meaningful work of your career.