About Grupo QuintoAndar

We are Grupo QuintoAndar, the largest real estate ecosystem in Latin America. Guided by a shared purpose of helping people love where they live, we have a diversified portfolio of brands and solutions across different countries in Latin America, covering all phases of the housing journey. We also have a Technology Hub in Portugal. We develop technology and innovation to transform and enhance the overall living experience.

With the support of a world-class team of investors and advisors, including Kaszek, Qualcomm, General Atlantic, and SoftBank, Grupo QuintoAndar is currently valued at over USD 5.1 billion and continues to grow year over year.

Here, you will work with top professionals in the market, in an environment that breathes innovation, collaboration, and high performance. To learn more about our story, visit: https://grupoquintoandar.com/pt/.

Location & Remote Work

Our technology team operates under a "remote-first" model, which means we work from home and can live anywhere in Brazil. We also offer the option of working from our São Paulo offices or partner coworking spaces, up to twice a week.

Hiring Process Stages

The stages of our hiring processes aim to assess your experiences and allow you to meet our teams and explore career opportunities. They are structured as follows:

• Application
• Interview with Recruiter
• Tech Screening
• Technical Interviews with Data Team
• Offer

About the Role
We are looking for a skilled and motivated Data Engineer Specialist to join our team. The responsibilities of this role is to design, build, and maintain a robust, self-service, scalable, and secure data platform and end-to-end data pipelines that empowers Data Analysts, and Data Scientists to deliver insights and drive strategic decision-making. 

Responsibilities of a Data Engineer at QuintoAndar:

• Build and maintain a high-performance data platform that meets the company's needs, connects with product solutions, and leads analytical innovation, enabling incredible architectures and efficient platforms;
• Create and edit data pipelines, considering business logic that best applies to the area in question, choosing levels of aggregation, grouping and transforming fields, checking data quality, and cleaning the data;
• Create data modeling and transformation workflows, enabling the creation of clear and accessible data abstractions;
• Responsible for the entire code development lifecycle (monitoring deployment, documentation, performance, security, adding metrics and alarms, ensuring SLO budget compliance, and more);
• Investigate inconsistencies and be able to trace the source of differences (data troubleshooting);
• Enable teams across the company to access and use data more effectively through self-service tools and well-modeled datasets;
• Align with stakeholders to understand their primary needs, while also having a holistic view of the problem and proposing extensible, scalable, and incremental solutions;
• Conduct PoCs and benchmarks to determine the best tool for a given problem, and decide whether to use an off-the-shelf solution or develop one in-house;
• Contribute to defining the strategic vision, crossing team and service boundaries to solve problems;

• Advocate for the value of data analytics and engineering within the organization and fostering a data-driven culture;
• Be a reference within the chapter on technical concepts, tools, and/or best coding practices.

What we are looking for:

• Specialist in technologies, solutions, and concepts of Big Data (Spark, Hadoop, Hive, MapReduce) and multiple languages (YAML, Python);
• Experience with Airflow, Spark, AWS and Databricks;
• Strong foundation in software engineering principles, with experience working on data-centric systems;
• Experience with columnar storage solutions and/or data lakehouse concepts;
• Proficiency in Python, or one of the main programming languages, and a passion for writing clean and maintainable code. 
• Strong knowledge in optimizing SQL query performance;
• Experience in building multidimensional data models (Star and/or Snowflake schema);
• Understanding of the data lifecycle and concepts such as lineage, governance, privacy, retention, anonymization, etc.;
• Knowledge in infrastructure areas such as containers and orchestration (Kubernetes, ECS), CI/CD strategies, infrastructure as code (Terraform), observability (Prometheus, Grafana), among others; 
• Proficiency in English - our code, documentation, tools, and materials are often structured in English.
• Excellent communication skills, proactively sharing and collaborating with both technical and non-technical stakeholders to translate business needs into scalable data solutions;
• Experience as a tech/project lead or similar;
• Curiosity, detail-orientation, and thrive in a fast-paced, data-driven environment.

You will stand out if:

• You have participated in building large-scale data platforms for big data sets and teams using Big Data technologies such as Spark, Trino, Hive, Atlas, Ranger, etc.;
• Experience in building semantic layers.

Important

• Our hiring process starts with the application! If you truly want to be part of our team, please complete this step of the process. We analyze all candidates individually and provide feedback to all applicants.

• All communication will be conducted via email, so please stay tuned for our messages and release the domain @quintoandar.com.br to ensure our emails are not sent to spam.

Benefits

• Competitive salary
• Profit sharing
• Meal allowance 
• Health insurance
• Dental plan
• Life insurance
• Childcare subsidy and Atypical Parenthood subsidy
• Wellhub
• Home office allowance
• Employee assistance program (mental health, social, legal, and financial support)
• Extended parental leave
• Day off on birthday, Mother’s Day, and Father’s Day
• Benefits Club (discounts on everyday services)
• Discounts at educational institutions
• Reading kit for children – PlayKids
  
  

Diversity & Inclusion at Grupo QuintoAndar

We value diversity and want everyone to feel welcome here, regardless of their age, gender identity, sexual orientation, race, color, ethnicity, origin, disability, religion, or any other characteristic. All our job openings are open to all individuals!

You'll notice there are some diversity questions in the application form. For affirmative action roles, this information may be used to verify your alignment with the target audience for the opportunity. In such cases, it may be used for elimination purposes. For non-affirmative action roles, this data will be used anonymously, exclusively to monitor and improve our inclusion practices in the hiring process, and will have no impact on your application.

Privacy and Data Protection

The Grupo QuintoAndar operates in compliance with privacy and data protection laws, including, but not limited to, the Brazilian General Personal Data Protection Law (LGPD) (Law No. 13,709/2018), and ensures the security of your data. To learn more, please access our Privacy Notice for Candidates. For questions or to exercise your rights as a data subject, please contact us through our Service Channel.

Nossa área de Cartões

Suas atividades como CSixer 

Requisitos e Experiência

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.

Nossa área de Site Reliability Engineering

Suas atividades como CSixer

• Garantir a saúde e resiliência da infraestrutura do produto em que estiver inserido;
• Apoiar na construção de métrica, indicadores e dashboards para monitoramento do ambiente;
• Identificar oportunidades de finops;
• Apoiar as demandas de time para criação de novas infraestrutura, escalar infra já existentes, sempre com olhar para novos produtos e novas tecnologias ou melhorias nos produtos já existentes;
• Garantir a saúde do banco de dados junto ao DBRE;
• Garantir a segurança das aplicações atuando nas vulnerabilidades do ambiente;
• Saber lidar com pressão para momentos de Troubleshoot em tempo de incidentes é fundamental.

Requisitos e experiência

• Ter experiência com AWS, Kubernetes, TerraForm, foco em automação (Rundeck), Python e Ansible;
• Ter bons conhecimento em CI/CD, DEVOPS, Shell, PowerShell;
• Conhecer os Sistemas Operacionais Windows e Linux;
• Ter vivência com monitoração (Grafana, zabbix, Prometheus);
• Ter conhecimentos em banco de dados:  oracle, postgres, redis e mongodb.

• 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.

What are we looking for?

We are seeking a highly skilled and experienced Senior DevOps/Cloud Engineer/SRE with 7+ years of experience to become an integral part of our dynamic DevOps platform team. In this role, you will be instrumental in supporting cutting-edge AI SaaS and PaaS solutions.

Please note: This position may require participation in an on-call support rotation in the future.

Requirements

Technical Skills:

• Education: A Bachelor's degree in Computer Science or a related field, or equivalent education and experience equating to the US equivalent of a bachelor’s degree.
• SDLC & CI/CD: 5+ years of experience with Software Development Lifecycle (SDLC) methodologies and CI/CD technologies, including hands-on expertise with at least two different CI/CD ecosystems. Optional: We also value experience with MLOps practices and their integration into CI/CD pipelines.
• Software Engineering: 3+ years of experience as a Software Engineer, with a preference for backend development experience. Nice to have: Experience with Temporal workflows.
• Networking & Operating Systems: Strong knowledge of networking principles and robust experience with Operating System concepts, backed by 5+ years of hands-on Linux administration.
• Cloud Platforms: 5+ years of in-depth experience with AWS (highly preferred) and/or GCP. Highly desired to have certifications in AWS or GCP.
• Infrastructure as Code (IaC): 5+ years of experience with IaC tools, primarily Terraform.
• Kubernetes: 5+ years of experience managing Kubernetes clusters, including practical experience with at least one cloud-managed service (e.g., EKS, GKE, AKS).
• Database Management: Strong experience with PostgreSQL.
• Troubleshooting: Proven ability to effectively troubleshoot issues across code, cloud infrastructure, networks, and operating systems.
• AI-Specific Technologies (Preferred): Given our focus on AI solutions, experience with MLOps, Nvidia NIM and relevant Nvidia certifications would be a significant asset.

Observability: 5+ years of experience working with observability tools, and defining

Essential Non-Technical Skills:

• Requirements Elicitation: Ability to effectively gather and understand project requirements.
• Collaboration & Resilience: A highly collaborative team player with a resilient and proactive mindset.
• Organizational & Communication Skills: Self-organized with the ability to structure discussions effectively, ensuring focus and clarity.
• Documentation: Meticulous and thorough in creating clear, comprehensive documentation.
• Problem Solving: Adept at breaking down complex problems into manageable sub-tasks and defining actionable next steps.
• Language: English proficiency is mandatory.

#LI-Remote

#LI-DC1

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 job

We are looking for a highly skilled AI Engineer to join our team and lead the design and implementation of complex AI agents capable of reasoning, planning, and collaborating with humans and other systems. This role goes beyond building simple chatbots: you will be responsible for creating multi-agent architectures, integrating advanced LLMs, and ensuring robustness, scalability, and security in production environments.

You will work closely with product managers, data engineers, and security specialists to develop agent-based systems that handle real-world complexity at scale.

What you'll do:

• Design, develop, and deploy multi-agent AI systems for reasoning, planning, and task execution.
• Implement RAG (Retrieval-Augmented Generation) pipelines, using orchestration tools and frameworks (LangChain, LangGraph, Azure AI Foundry).
• Optimize model serving for low-latency, high-throughput inference using frameworks like KServe, Triton Inference Server, or Ray Serve.
• Build observability and evaluation frameworks to monitor agent reasoning, success rates, and failure cases.
• Collaborate with ML and data engineers to integrate structured and unstructured data sources into agent workflows.
• Apply security and alignment techniques (guardrails, prompt injection prevention, red-teaming) to ensure robust behavior.
• Work in a CI/CD environment (Azure DevOps, GitHub Actions, ArgoCD) for rapid iteration and reliable deployment.
• Participate in architectural decisions involving distributed systems, GPU usage, caching strategies, and memory management.

What you'll need:

• Strong proficiency in Python (for prototyping) and C++/Go (for performance-critical components).
• Proven experience with LLMs (OpenAI, Anthropic, Llama, Mistral, or similar).
• Practical experience with agent orchestration frameworks (LangChain, LangGraph, Semantic Kernel).
• Deep understanding of search and retrieval systems (vector databases like Pinecone, Weaviate, FAISS, Milvus).
• Knowledge of distributed systems and experience deploying ML models in Kubernetes/AKS/EKS/GKE environments.
• Familiarity with ONNX Runtime, TensorRT, or DeepSpeed for inference optimization.
• Experience with public clouds (Azure, AWS, or GCP) and infrastructure as code (Terraform, CloudFormation, or Bicep).
• Understanding of AI security (prompt injection, data leakage, adversarial testing).

Nice to have:

• Experience with multi-agent simulations (AutoGen, CrewAI, OpenAI Swarm).
• Background in red-teaming and offensive security for AI models.
• Knowledge of graph databases (Neo4j, ArangoDB) for agent memory and reasoning.
• Publications, research contributions, or involvement in open-source projects related to LLM or agent frameworks.

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 

Sobre a Platform Science:

Na Platform Science, trabalhamos para conectar tudo que se move. Fundada em 2015, somos uma plataforma de IoT aberta que faz parcerias com frotas inovadoras, desenvolvedores de aplicativos, fabricantes de veículos e fornecedores de equipamentos no setor de transporte para fornecer soluções revolucionárias aos profissionais da cadeia de suprimentos em todo o mundo.

Nossos colaboradores são um grupo envolvente e diversificado de pessoas que acreditam no poder das grandes ideias. Contratamos pessoas com diferentes experiências e perspectivas para construir uma cultura empresarial que impulsione o crescimento por meio da inovação.

Valorizamos ações atenciosas e empatia pelos outros.  Abordamos os desafios com resiliência e criatividade, ao mesmo tempo que incentivamos a transparência porque, não importa nossa origem ou responsabilidades, somos uma equipe.

O seu desafio por aqui:

Você fará parte de um time multidisciplinar (Software, Testes, Hardware e Produto) focado em pesquisa aplicada. Sua missão será:

• Transformar dados em impacto: criar modelos de IA e Machine Learning para otimizar operações reais e definir o futuro da mobilidade.
• Inovação contínua: explorar novas ferramentas de Code Assist e se manter na fronteira dos avanços tecnológicos.
• Colaboração Global: interagir com times da PS ao redor do mundo, trocando experiências e tecnologias.
• Agilidade na veia: atuar em um ambiente dinâmico, utilizando metodologias ágeis para entregas de alto valor.

O que buscamos:

• Domínio de Python: aplicado a Data Analytics, Data Engineering, Data Science ou AI Engineering.
• Visão de Dados: experiência com pipelines (AirFlow) e visualização (Domo ou Power BI).
• Cultura Cloud: experiência com nuvem (AWS, Azure ou GCP).
• Mentalidade de Engenharia: familiaridade com o ecossistema Linux, Containers e Terraform  (aqui nós construímos e colocamos pra rodar!).
• Diferencial: se você tem experiência com modelos para dispositivos móveis ou setor automotivo (Edge AI), as chances aumentam!

Brazil, Londrina

At Platform Science, we’re working to connect everything that moves.

Founded in 2015, we are an open IoT platform that partners with innovative fleets, application developers, vehicle manufacturers, and equipment providers in the transportation industry to deliver revolutionary solutions to supply chain professionals across the globe.

Our employees are an engaging, diverse group of people who believe in the power of great ideas. We hire people with different experiences and perspectives to build a company culture that fuels growth through innovation.

We value thoughtful actions and empathy for others. We approach challenges with resiliency and creativity, while encouraging transparency because, no matter our backgrounds or responsibilities, we are one team.cker, and Kubernetes.

What You’ll Do:

• Serve as a developer for our data analytics platform, informing technical direction, standards, and long-term strategy for data ingestion, storage, processing, and consumption.
• Partner with business stakeholders, product owners, engineers, analysts, and data scientists to design and develop highly scalable, resilient, and performant software and data architectures for both batch and streaming data pipelines.
• Collaborate closely with product and engineering teams to define and enforce governance around data models that enable complex analysis, visualization, and data science across the organization.
• Leverage our modern data stack (e.g., Snowflake/dbt), to continue to buildout, data model, cost optimize, and manage our data warehouse.
• Partner with Data Scientists to design, build, and productionize robust Machine Learning pipelines and feature stores.
• Establish data quality standards and processes to ensure data is properly filtered, cleaned, and transformed from a variety of sources to enable accurate and trustworthy analysis.
• Work directly with management and executive teams to prioritize and scope platform initiatives that align with the company's highest business and information needs.
• Mentor and coach team members on best practices, complex system design, and career growth, serving as an authoritative voice for data engineering excellence.

What We’re Looking For:

• 3+ years of progressive experience as a Data Engineer, focusing on building high-scale, production-grade data analytics platforms.
• Proficiency (3+ years) in software development, including the ability to write expert-level, maintainable, and robust code using Python and SQL.
• 3+ years designing, managing, and maintaining data warehouses (especially modern columnar databases), including expertise in dimensional data modeling and maintaining complex ETL/ELT pipelines.
• Experience working with both OLTP/OLAP relational databases and distributed data systems.
• 3+ years working with AWS services such as EC2, Lambda, S3, RDS, ECR, EKS, IAM, and IoT, specifically in the context of data infrastructure.
• 3+ years of experience working with streaming data technologies such as Kinesis, Kafka, or Storm, and designing real-time data processing architectures.
• Advanced SQL skills including performance tuning, window functions, and complex query optimization.

Great to have:

• Proven ability to design and manage CI/CD pipelines using tools like Jenkins, TravisCI, or GitLab Runners for data platform code deployment.
• Demonstrated experience using Terraform (or similar IaC tool like CloudFormation) to provision, manage, and scale cloud infrastructure, data pipelines, and platform resources.
• Hands-on experience with AWS Database Migration Service (DMS) for large-scale database migrations and continuous data replication from various data sources.
• Demonstrated technical leadership regarding all things data: mining, modeling, transformation, cleansing, validation, security, and governance.
• Exceptional communication and presentation skills, with the ability to articulate complex technical trade-offs to both technical and non-technical audiences.
• Experience building and managing a workflow management system such as Airflow, Luigi, or Prefect.
• Expertise with containerization and orchestration using Docker/Kubernetes/EKS.
• Proven experience building and optimizing serverless data pipelines (e.g., AWS Lambda, Step Functions).
• Experience with Data Build Tool (dbt) for transformation and modeling.
• Experience with Snowflake or other major columnar/cloud data warehouses.
• BS/MS in Computer Science, Engineering, or equivalent practical experience.
• Experience with Feature Store architectures (e.g., Feast, Tecton) and developing standardized feature engineering pipelines.

Sobre a Platform Science:

Na Platform Science, trabalhamos para conectar tudo que se move. Fundada em 2015, somos uma plataforma de IoT aberta que faz parcerias com frotas inovadoras, desenvolvedores de aplicativos, fabricantes de veículos e fornecedores de equipamentos no setor de transporte para fornecer soluções revolucionárias aos profissionais da cadeia de suprimentos em todo o mundo.

Nossos colaboradores são um grupo envolvente e diversificado de pessoas que acreditam no poder das grandes ideias. Contratamos pessoas com diferentes experiências e perspectivas para construir uma cultura empresarial que impulsione o crescimento por meio da inovação.

Valorizamos ações atenciosas e empatia pelos outros.  Abordamos os desafios com resiliência e criatividade, ao mesmo tempo que incentivamos a transparência porque, não importa nossa origem ou responsabilidades, somos uma equipe.

Sobre a vaga:

O engenheiro de software na Platform Science possui conhecimento técnico em tecnologias e linguagens como Java, Kotlin, Angular e React.  Este profissional é responsável por analisar e executar demandas com autonomia, propor soluções para problemas e garantir a qualidade e consistência das entregas. Além disso, o profissional deve estar disposto a compartilhar sua experiência e conhecimento com os demais pares do time.

O time para qual esta vaga está aberta é responsável por manter, evoluir e desenvolver novas soluções para o mercado.

Requisitos da Stack:

• Experiência (2-5 anos) em desenvolvimento de software, com proficiência em Java ou Kotlin e framework Spring Boot;
• Conhecimento em desenvolvimento front-end utilizando Angular ou React.
• Imprescindível ter experiência com testes unitários (JUnit, Jasmine, Jest).
• Conhecimento e vivência utilizando bancos de dados relacionais e não relacionais (Postgres, MySQL, MongoDB, etc).
• Conhecimento em comunicação entre serviços através de mensageria (Kafka/Rabbit/SQS)
• Conhecimento de Cloud Computing (preferencialmente AWS, mas Azure ou Google Cloud são bem-vindos)
• Vivência em projetos utilizando ferramentas de CI/CD (preferencialmente GitHub Actions, mas Jenkins, Buildkite, Bamboo e outros são bem-vindos)

Diferenciais relacionadas a Stack: 

• Experiência com arquitetura baseada em microsserviços.
• Forte vivência em Kotlin, sendo capaz de atuar com a linguagem além do básico.
• Conhecimento em comunicação de rede (TCP/IP, Sockets) e familiaridade com frameworks de I/O assíncronos e orientados a eventos, como o Netty.
• Experiência prática na stack de infraestrutura da AWS, especificamente orquestração de contêineres (ECS), instâncias EC2 e computação serverless (Lambda).
• Experiência com ferramentas de monitoramento (Grafana, Prometheus).
• Vivência com ferramentas de Infraestrutura como Código (IaC), preferencialmente Terraform.
• Contato prévio com manipulação, armazenamento ou tráfego de arquivos de vídeo/streaming.
• Familiaridade com o ecossistema de IoT, telemetria ou integração direta de software com hardwares embarcados.

Perfil desejado:

• Já ter atuado com desenvolvimento utilizando metodologias ágeis (Scrum, Kanban).
• Graduação completa/cursando em Ciência da Computação, Engenharia de Software, ou áreas relacionadas.
• Inglês: Intermediário.
• Residir no Brasil - preferencialmente em Londrina/PR ou região.

About AB InBev

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

About ABI 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 enables us to maximize the use of data and drive AB InBev's digital transformation and organic growth around the world.

About BEES:

As a tech cell of our organization, we have a simple goal: to grow. Grow as people, as professionals, and as a company. To achieve this, we use technology to create digital solutions that simplify our customers’ lives, make their decisions smarter, and their businesses more profitable. With offices in São Paulo and Campinas, we encourage our team to attend key events and meaningful in-person meetings throughout the year.

Responsibilities:

• Implement ETL/ELT solutions and data integration between multiple systems and data sources.
• Design, implement, and maintain data pipelines to ingest, store, and process large volumes of data.
• Collaborate with other teams to ensure data security and compliance.
• Design, develop, and implement solutions to optimize the performance and scalability of data processing systems.

Requirements and qualifications:

• Bachelor's degree in Computer Science, Computer Engineering, Information Systems, Systems Analysis and Development, or similar;
• Intermediate English;
• Apply knowledge of data pipeline concepts and tools to implement data transformation, cleaning, and aggregation tasks.
• Use data pipeline frameworks and libraries to automate data processing tasks and optimize workflows.
• Follow best practices for developing data pipelines, including version control, testing, and thorough documentation.
• Apply programming skills in Python, PySpark, Scala, and SQL to effectively manipulate and transform data.
• Understand and utilize cloud computing platforms and services offered by providers such as AWS, Azure, and Google Cloud.
• Develop data pipelines using orchestration frameworks (e.g., Apache Airflow, Luigi, Mage, Databricks Workflows), integrating with PySpark and/or Scala as needed.
• Understand and apply software design principles to data engineering projects.
• Apply data modeling techniques to design efficient and scalable data models.
• Optimize PySpark and SQL query performance, considering data volume, query complexity, and system resources.
• Use data tools for ingestion, transformation, analysis, and visualization.

Soft Skills:

• Logical reasoning and analytical skills;
• Meeting deadlines and delivering quality work;
• Effective and transparent communication with other teams and coworkers;
• Communication and interpersonal skills to present and discuss cases with other involved areas;
• Autonomy in performing tasks;

Nice to Have:

• Develop and maintain APIs for data exchange between applications.
• Experience with cloud computing platforms (AWS, Azure, Google Cloud) and their services.
• Use automation frameworks and tools such as Azure DevOps, Terraform, and GitHub Actions.

Benefits:

• 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 subsides
• 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 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

About AB InBev

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

About ABI 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 enables us to maximize the use of data and drive AB InBev's digital transformation and organic growth around the world.

About BEES:

As a tech cell of our organization, we have a simple goal: to grow. Grow as people, as professionals, and as a company. To achieve this, we use technology to create digital solutions that simplify our customers’ lives, make their decisions smarter, and their businesses more profitable. With offices in São Paulo and Campinas, we encourage our team to attend key events and meaningful in-person meetings throughout the year.

Responsibilities:

• Implement ETL/ELT solutions and data integration between multiple systems and data sources.
• Design, implement, and maintain data pipelines to ingest, store, and process large volumes of data.
• Collaborate with other teams to ensure data security and compliance.
• Design, develop, and implement solutions to optimize the performance and scalability of data processing systems.

Requirements and qualifications:

• Bachelor's degree in Computer Science, Computer Engineering, Information Systems, Systems Analysis and Development, or similar;
• Intermediate English;
• Apply knowledge of data pipeline concepts and tools to implement data transformation, cleaning, and aggregation tasks.
• Use data pipeline frameworks and libraries to automate data processing tasks and optimize workflows.
• Follow best practices for developing data pipelines, including version control, testing, and thorough documentation.
• Apply programming skills in Python, PySpark, Scala, and SQL to effectively manipulate and transform data.
• Understand and utilize cloud computing platforms and services offered by providers such as AWS, Azure, and Google Cloud.
• Develop data pipelines using orchestration frameworks (e.g., Apache Airflow, Luigi, Mage, Databricks Workflows), integrating with PySpark and/or Scala as needed.
• Understand and apply software design principles to data engineering projects.
• Apply data modeling techniques to design efficient and scalable data models.
• Optimize PySpark and SQL query performance, considering data volume, query complexity, and system resources.
• Use data tools for ingestion, transformation, analysis, and visualization.

Soft Skills:

• Logical reasoning and analytical skills;
• Meeting deadlines and delivering quality work;
• Effective and transparent communication with other teams and coworkers;
• Communication and interpersonal skills to present and discuss cases with other involved areas;
• Autonomy in performing tasks;

Nice to Have:

• Develop and maintain APIs for data exchange between applications.
• Experience with cloud computing platforms (AWS, Azure, Google Cloud) and their services.
• Use automation frameworks and tools such as Azure DevOps, Terraform, and GitHub Actions.

Benefits:

• 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 subsides
• Discounts on Ambev products*
• Clube Ben partnership
• Scholarship*
• School materials assurance
• Language and training platforms
• Transport allowance

Rules applied*

Important Information 

Location: Brazil
Job Mode: Full-time 
Work Mode: Work from home

Job Summary

As a Senior Platform Engineer, you will own and evolve the foundational platform services that power critical business workflows across the client's engineering organization. You will work inside a Platform team supporting hundreds of engineers and leading the design and delivery of high-reliability distributed systems — spanning communications delivery infrastructure (Email, SMS), workflow orchestration, and observability. In this role, you collaborate closely with SRE, DevEx, and product engineering teams to raise the bar on   reliability, developer experience, and operational excellence across shared infrastructure. This is a high-ownership role where you shape not just the code but the practices and standards the broader engineering organization builds on.

Responsibilities and Duties

• Design, implement, and maintain shared platform services including Email and SMS delivery pipelines, distributed workflow orchestration, and supporting cloud infrastructure;
  
• Drive infrastructure modernization efforts — migrating legacy architectures to resilient, observable workflow platforms;
  
• Instrument services with customer-centric observability (metrics, monitors, dashboards);
  
• Author and execute implementation plans spanning multiple repositories and teams, defining rollout, rollback, and decommissioning procedures;
  
• Collaborate with SRE and Infra teams for the initiatives’ goal achievement, platform reliability and operational standards;
  
• Contribute to cross-team RFC reviews, architecture discussions, and standards that shape how shared services are built;
  
• Leverage AI-assisted development tools and evaluate LLM-backed internal tooling to reduce toil and improve engineering workflows;
  
• Create and maintain runbooks, architecture docs, and technical guides — you document as you build;
  
• Mentor engineers on distributed systems patterns, workflow engine design, and observability best practices.
  
   

Essential Skills

• Back-end engineering experience in Go or Ruby, with a polyglot mindset and comfort picking up new languages;
  
• Hands-on experience with distributed workflow systems such as Temporal, AWS Step Functions, or similar orchestration platforms;
  
• Experience designing observability pipelines — metrics, monitors, and alerting — using Datadog, CloudWatch, or equivalent;
  
• Solid understanding of asynchronous messaging patterns (SQS, Kafka, RabbitMQ) and modernization trade-offs;
  
• Experience with AWS and Infrastructure as Code (Terraform), managing queues, compute, and storage resources;
  
• Demonstrated ability to design safe, gradual rollout strategies using feature flags with well-defined rollback criteria;
  
• Strong systems thinking — identifying failure modes, analyzing trade-offs, and taking end-to-end ownership of outcomes;
  
• Excellent written communication for proposals, RFCs, and runbooks; strong bias for measurable outcomes in agile teams.
  
  

Highly Desirable Skills

• Experience with Kubernetes service operations, including container orchestration, ingress, and deployment management;
  
• Familiarity with CI/CD systems (GitHub Actions preferred) and improving build and deployment pipelines;
  
• Experience building or integrating AI/LLM capabilities into internal tooling or developer workflows;
  
• Familiarity with LLM proxy infrastructure and AI service reliability patterns;
  
• Background in communications infrastructure — Email/SMS pipelines, webhook processing, or provider integrations;
  
• Prior work on on-call tooling, incident response workflows, or SRE practices in high-availability environments;
  
• Experience with feature management systems (LaunchDarkly, Split, or similar).

About Encora

Encora is the preferred digital engineering and modernization partner of some of the world’s leading enterprises and digital native companies. With over 9,000 experts in 47+ offices and innovation labs worldwide, Encora’s technology practices include Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering.

At Encora, we hire professionals based solely on their skills and qualifications, and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You’ll Do

• Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
• Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
• Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
• Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

An Ideal Candidate Should Have

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments
• Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
• Experience with web crawlers, large-scale data processing workflows is a plus
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

What we offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

The salary range for this role is $5,000 - $9,500 per month (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 technically strong, hands-on Senior Database Reliability Engineer to help design, build, and scale the database platform used across Sezzle’s applications.

This is not a traditional DBA role. This role is for an engineer who can combine deep database knowledge with software engineering, infrastructure engineering, and platform thinking. You will help build the systems, libraries, automation, standards, and guardrails that make database usage across Sezzle reliable, secure, scalable, and easy for developers to adopt correctly.

As a Senior Database Reliability Engineer, you will be responsible for improving how Sezzle applications connect to, migrate, operate, observe, and scale their databases. You will work across application teams, infrastructure, security, and engineering leadership to define patterns that improve database reliability by design — not just by operational response.

You should be comfortable owning problems end-to-end: understanding application behavior, reading code, reviewing database access patterns, building shared tooling, improving connection management, designing migration safety checks, analyzing production performance, and helping developers use databases in safer and more scalable ways.

You should consider yourself a DOer to be a good fit for this role. We are looking for someone who can ship production-quality engineering work, not just advise from the sidelines. With AI tooling and automation, you should be a force multiplier for database reliability, developer productivity, and operational excellence across Sezzle.

Compensation:

For this senior development role, with 6+ years of experience, the compensation range is  $5,000 - $9,500 USD per month. This range acknowledges the extensive expertise, leadership capabilities, and significant contributions expected at this level, offering a competitive salary to reflect the value of advanced skills and experience.

What You'll Do:

• Design, build, and maintain shared database platform components used by Sezzle applications, such as database connection packages, database client libraries, migration tooling, safety checks, query standards, and developer-facing abstractions.
• Establish reliable, scalable patterns for how Sezzle services connect to and interact with relational databases across production, staging, and development environments.
• Partner with backend engineering teams to improve database usage in application code, including connection lifecycle, transaction handling, retries, timeouts, pooling, query patterns, and migration workflows.
• Build automation and internal tooling that makes database operations safer, more repeatable, and less dependent on manual intervention.
• Define and enforce engineering standards for database access, schema design, migrations, indexing, query performance, connection management, and operational readiness.
• Architect and improve database infrastructure across AWS RDS/Aurora MySQL, PostgreSQL, RDS Proxy, read replicas, backups, failover, parameter groups, monitoring, and capacity planning.
• Lead database reliability initiatives that reduce operational risk, improve performance, and help Sezzle scale safely.
• Review application designs and database changes early in the development lifecycle to ensure reliability, scalability, maintainability, and security are built in from the start.
• Build guardrails for database migrations, including automated checks, rollback expectations, schema review workflows, migration observability, and production safety controls.
• Improve developer self-service for database provisioning, access, schema management, local development, testing, and observability.
• Investigate production database issues by combining application telemetry, database metrics, logs, query plans, traces, and cloud infrastructure data.
• Identify and fix systemic database problems, not just symptoms — including bad access patterns, unsafe migrations, inefficient queries, connection storms, lock contention, replication lag, and capacity bottlenecks.
• Create and maintain high-signal dashboards, alerts, SLOs, SLIs, runbooks, and operational readiness checks for database-backed services.
• Drive improvements in database backup validation, restore testing, disaster recovery, failover readiness, and business continuity.
• Work with security and compliance teams to improve database access controls, auditability, encryption, secrets management, least privilege, and PCI/SOC 2 aligned controls.
• Mentor engineers on database design, query performance, safe migrations, operational readiness, and production debugging.
• Use automation and AI tooling where appropriate to improve migration review, query analysis, incident investigation, documentation, and developer productivity.

What We look for: 

• 6+ years of professional software engineering, infrastructure engineering, database engineering, SRE, or platform engineering experience.
• Strong software engineering ability in at least one production programming language such as Go, Python, or TypeScript.
• Proven ability to build production-quality internal tools, libraries, frameworks, services, or platform components used by other engineers.
• Deep hands-on experience with relational databases, especially MySQL and/or PostgreSQL, in high-availability production environments.
• Strong understanding of how application code interacts with databases, including connection pooling, transactions, isolation levels, retries, timeouts, deadlocks, locking, migrations, and query execution.
• Experience designing or improving shared database access patterns, internal database packages, ORM wrappers, migration frameworks, or developer-facing database tooling.
• Hands-on experience with AWS RDS/Aurora, including provisioning, upgrades, replicas, backups, failover, monitoring, parameter tuning, and production troubleshooting.
• Experience with database connection management technologies such as RDS Proxy, PgBouncer, ProxySQL, or application-level pooling.
• Strong ability to analyze database performance using query plans, indexes, slow query logs, wait events, locks, metrics, and application traces.
• Experience designing safe database migration processes for production systems.
• Strong understanding of observability for database-backed applications, including metrics, logs, traces, SLOs, alerting, and incident response.
• Experience with infrastructure-as-code and CI/CD systems such as Terraform, GitLab CI/CD, Kubernetes, Helm, or similar tooling.
• Ability to influence engineering teams through clear design reviews, documentation, technical standards, and practical implementation.
• Ability to operate independently, identify high-impact problems, propose pragmatic solutions, and drive them to completion.
• Bachelor’s degree in Computer Science.

Preferred Knowledge and Skills:

• Experience building platform capabilities for a microservices environment.
• Experience with Golang application development and database access patterns.
• Experience creating database libraries, SDKs, service templates, migration frameworks, or paved-road developer tooling.
• Experience improving database reliability across many services or teams, not just one application.
• Experience with fintech, payments, banking, e-commerce, or other high-volume transactional systems.
• Experience with compliance-sensitive environments such as PCI DSS, SOC 2, or SOX.
• Experience with database access governance, audit logging, secrets management, encryption, IAM authentication, and least-privilege access models.
• Experience with large-scale operational automation for provisioning, patching, failover testing, backup validation, access management, or schema review.
• Experience with distributed systems patterns such as transactional outbox, event-driven architecture, idempotency, queues, eventual consistency, and data consistency tradeoffs.
• Experience with observability tools such as Prometheus, Grafana, Datadog, CloudWatch, Performance Insights, OpenTelemetry, or New Relic.
• Familiarity with Elasticsearch or other supporting data stores.
• Familiarity with AI developer tooling such as Claude Code, Gemini CLI, Codex, Cursor, and using it to be a more productive engineer.

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.

Sezzle’s Technology Stack:

• Languages: Golang, Typescript, Python
• Frontend: Typescript - React and React Native
• Backend: Golang
• Database: MySQL, Postgres, Elasticsearch
• DevOps & Cloud: AWS, Kubernetes
• Version Control: Git
• CI/CD: Gitlab
• Testing: Developer and AI-driven, focus on automated end-to-end, integration, and unit tests
• Open Source: Sezzle is focused on using open source, and we build what we can before buying!

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 are skilled musicians, yogis, cyclists, chefs, golfers, dog-lovers, and rock-climbers. We believe in surrounding ourselves with not only the best and the brightest individuals, but those that are unique and purpose-driven in all that they do. 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

We are Datadog's in-house product experts. The technical solutions team enables Datadog's worldwide growth by educating potential clients and ensuring that existing customers are happy and successful.

The Partner Solution Architect (PSA) is a Datadog expert who will work closely with Datadog’s Director of Partner Solutions Architects, and is aligned to our Channels & Alliances business segment. The PSA is responsible for supporting a variety of technical initiatives and activities for our partners (for example: cloud migration, application modernization, DevOps transformation). They are accountable for the outcome of these initiatives, and frequently collaborate with both Datadog and Partner resources to drive success. The PSA is a trusted technical advisor for our Partner channel.

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

What You’ll Do:

• Ensure the successful onboarding, training, enablement, and certification of partner technical resources;
• Participate in periodic joint business planning and review sessions to ensure direct alignment between Datadog and Partner technical teams;
• Collaborate internally to support Partner technical initiatives such as end-customer demonstrations and proofs of value; partner team enablement workshops; assessment, advice, and coaching on lead practices;
• Advocate on behalf of Partners’ technical concerns (use cases, feature requests, support issues, e.g.) with Datadog internal teams and personnel, helping to bring those concerns to resolution;
• Analyze and understand Partner service offerings on a regular basis and provide recommendations to enhance the value of those services through greater or improved adoption of Datadog features and capabilities;
• Collaborate with Datadog’s product management, engineering and technical services teams to help identify and prioritize new features and capabilities;
• Continuously help curate and evolve lead/best practices for Datadog platform adoption and success.
  
  

Who You Are:

• Possess a solid technical grounding with hands-on experience of IT Development and/or Operations
• Has a demonstrable track-record and never-ending passion for learning; successful candidates for this position typically have 10-15 years of experience in a customer or partner facing technical role
• A self-starter, tech-savvy professional with solid business acumen; ability to articulate Datadog value from server room to boardroom;
• Confident presentation skills
• Desired hands-on experience in two or more of the following areas:
• Observability: Datadog, Splunk, AppD, New Relic or Dynatrace
• Public Cloud: AWS, Azure, GCP, or Alibaba
• Containerization: Docker, Kubernetes, OpenShift, Cloud Foundry
• Dev/Scripting: Python, Javascript, Ruby, Perl, PHP, Go
• Config Mgmt: Terraform, Ansible, Puppet, Chef
• CI / CD: Jenkins, Gitlab
• Bonus Points:
• Previous experience working in a technical role for or supporting channel partners (Systems Integrators, Managed Services Providers, e.g.)
• Previous experience using Datadog and/or other cloud monitoring tools (APM, 
• Infrastructure, Logs, Synthetics, NPM)
• Previous experience with root-cause-analysis, troubleshooting, debugging

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

Benefits and Growth:

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

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

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

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

What You’ll Do:

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

Who You Are:

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

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

Benefits and Growth:

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

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

#LI-Hybrid

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

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

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

Localidade: São Paulo/Pinheiros

Modelo de atuação: Híbrido

Formato de contratação: CLT

Descrição do Cargo

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

Responsabilidades

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

Requisitos

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

Diferenciais

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

Oferecemos

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

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

#LI-BR1

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 

Leading provider of digital cinema technology, delivering software solutions and services that optimize cinema operations, content distribution, and advertising management. With products such as Theatre Management Systems, content delivery networks, and ad sales platforms, the company streamlines workflows and enhances the digital cinema experience for exhibitors worldwide.

What You’ll Do  

• Manage and oversee release processes for applications and services
• Handle most deployment activities, ensuring smooth and timely releases
• Monitor and maintain Jenkins pipelines for continuous integration and deployment (CI/CD)
• Work with AWS cloud environments to support deployment and release activities
• Utilize infrastructure-as-code tools like Terraform to manage cloud resources
• Collaborate with development and operations teams to ensure reliable and efficient release cycles

What You Bring  

• Hands-on experience with release management and deployment processes
• Strong working knowledge of Jenkins, CI/CD pipelines, and related automation tools
• Practical experience with AWS cloud services and infrastructure management
• Familiarity with Terraform or other infrastructure-as-code tools
• Excellent troubleshooting skills and attention to detail
• Ability to work independently on release tasks without being part of full development team cycles
• The role requires 3 hours of overlap with Lithuania time, 5 hours with the UK team, and 5 hours with the Denver team, with availability needed until 5 PM Denver time

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 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 

Leading provider of digital cinema technology, delivering software solutions and services that optimize cinema operations, content distribution, and advertising management. With products such as Theatre Management Systems, content delivery networks, and ad sales platforms, the company streamlines workflows and enhances the digital cinema experience for exhibitors worldwide.

What You’ll Do  

• Manage and oversee release processes for applications and services
• Handle most deployment activities, ensuring smooth and timely releases
• Monitor and maintain Jenkins pipelines for continuous integration and deployment (CI/CD)
• Work with AWS cloud environments to support deployment and release activities
• Utilize infrastructure-as-code tools like Terraform to manage cloud resources
• Collaborate with development and operations teams to ensure reliable and efficient release cycles

What You Bring  

• Hands-on experience with release management and deployment processes
• Strong working knowledge of Jenkins, CI/CD pipelines, and related automation tools
• Practical experience with AWS cloud services and infrastructure management
• Familiarity with Terraform or other infrastructure-as-code tools
• Excellent troubleshooting skills and attention to detail
• Ability to work independently on release tasks without being part of full development team cycles
• The role requires 3 hours of overlap with Lithuania time, 5 hours with the UK team, and 5 hours with the Denver team, with availability needed until 5 PM Denver time

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.

Seeking to hire a Contractor based out of Mexico or Argentina for Lead Analytics Engineering Data Team

• We are looking for a Lead Analytics Engineer to join our data team.
• Reporting to the Hiring Manager, you will be responsible for applying data engineering best practices to analytics code to transform, test, and document data.
• You will provide clean and organized data sets to end users.
• You will be provide expert code reviews and mentorship to other engineers in the data space
• You will be responsible for building and maintaining composable data models, as well as optimizing SQL query performance for the models you build.
• You will transform raw data into business insights, working closely with stakeholders and developing analyses to answer critical business questions.
• You will create data visualizations and help stakeholders explore and understand the data visualization tools available to them.

Why you'll love this role:Data Modeling and Transformation

• Build new analyses and support existing ones using SQL and Python.
• Apply software engineering principles like version control and continuous integration to the analytics codebase.
• Expand our data warehouse with clean data ready for analysis.

Data Quality and Testing

• Apply advanced data testing strategies to ensure resulting datastores are aligned with expected business logic.
• Implement validation checks and automated testing procedures to manage data quality in your ETL/ELT pipelines.

Collaboration and Communication

• Work with stakeholders to define business logic and data expectations.
• Help drive a change in the usage of data by actively surfacing insights to stakeholders.
• Lead initiatives and problem definition, scoping, design, and planning.

Infrastructure and Automation

• Build tools and automation to run data infrastructure.
• Manage large-scale data migrations in relational datastores.

Why you're a great fit:

• 8+ Years experience working with data in a software environment. 
• Required Skills: Mastered proficiency in SQL and Python; advanced experience managing business semantic layer tooling, data catalog tooling and  data integrity testing frameworks. Experience with dbt orchestration and best practices.
• You have a track record of working autonomously and proactively, with deep domain knowledge of data systems.
• Required Tech Stack: SQL, Python, relational datastores, DAG tooling (like Dagster or Airflow), dbt and Tableau.
• Experience with cloud-based infrastructure (AWS, GCP, Terraform) and document, graph, or schema-less datastores.

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

Why You'll Love This Role: 

As a Sr. Software Engineer you will be part of the EveryDay Labs team within Newsela. Your work will have a direct and meaningful impact on student outcomes helping school districts reduce absenteeism and increase learning time for students who need it most. You’ll have the opportunity to work on both complex, existing systems and build new products from the ground up, giving you meaningful ownership and visibility into how your work drives impact. In this role, you’ll be part of a collaborative and mission-driven team where clean code, thoughtful design, and continuous improvement are core to how we work. You’ll engage in an environment that values constructive feedback, strong engineering practices, and shared problem solving, while also having the space to take initiative and make a tangible difference across our product, team, and the communities we serve.

What You'll Be Doing:

• Design, build, and maintain components of our software platform that support attendance analytics, process management, and family communication tools
• Maintain and improve our student and attendance data systems, ensuring they remain performant and scalable as they grow to support tens of millions of records
• Develop new features that enhance product capabilities and drive meaningful outcomes for schools and students
• Automate operational and monitoring processes to support system reliability and scalability
• Optimize and enhance our AWS infrastructure to improve performance, efficiency, and system resilience
• Contribute to technical discussions and help shape practical, scalable solutions, balancing speed, quality, and long-term maintainability
• Partner with cross-functional teams to translate product needs into technical solutions and deliver high-quality outcomes

About You:

• 5+ years of experience in software engineering, with a strong foundation in building scalable backend systems
• Advanced proficiency in our core stack (or similar technologies), including:
• Experience working with AWS infrastructure, including tools such as Terraform, ECS, RDS/Aurora, SES, and messaging systems like SQS/SNS
• Proven ability to manage multiple projects and priorities, maintaining strong attention to detail and delivering high-quality work on time
• Strong communication skills, with the ability to clearly articulate technical concepts, trade-offs, and decisions to a range of stakeholders
• Comfortable working in ambiguous and evolving environments, with a proactive and solutions-oriented mindset
• Experience collaborating across teams to drive alignment, communicate progress, and deliver against shared goals
• Experience operating in environments with broad scope and ambiguity, with the ability to work across multiple areas of the stack.
• Experience with education or education technology a plus
• Fluent in English (written and verbal) required

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

Why You'll Love This Role: 

As a Senior Site Reliability Contractor, you will be involved in coding infrastructure automation with Terraform and Github Actions CI/CD. In this role, you will focus on improving our monitoring using Datadog, Sentry, and Cloudwatch. It will be critical to improve and automate our release processes to deploy Newsela services. You will have the opportunity to develop a rapport with a domain of application developers to improve infrastructure and monitoring for Newsela services in their ownership

What You'll Be Doing:

• Be on an on-call rotation to respond to incidents that impact Newsela.com availability and provide support for developers during internal and external incidents 
• Maintain and assist in extending our infrastructure with Terraform, Github Actions CI/CD, Prefect, and AWS services
• Build monitoring that alerts on symptoms rather than outages using Datadog, Sentry and CloudWatch
• Look for ways to turn repeatable manual actions into automations to reduce on-call toil
• Improve operational processes (such as deployments, releases, migrations, etc) to make them run seamlessly with fault tolerance in mind 
• Design, build and maintain core cloud infrastructure on AWS and GCP that enables scaling to support thousands of concurrent users
• Debug production issues across services and levels of the stack 
• Provide infrastructure and architectural planning support as an embedded team member within a domain of Newsela’s application developers 
• Plan the growth of Newsela’s infrastructure 

About You:

• Technical

  • Infrastructure as code: use Terraform and Github CI/CD for automation, containerize our environments (Docker, ECS), and leverage cloud technologies to meet our goals
  • Systems: manage, configure and troubleshoot operating system issues, storage (block and object), networking (VPCs, proxies and CDNs), and administer high-availability datastores (mySQL, Postgres, Neo4J) and Redis clusters
  • Monitoring and instrumentation: implement metrics in Datadog, Sentry, log management and related systems, and Slack/JIRA integrations
  • Engineering practices: availability, reliability and scalability, as well as disaster recovery
  • Work in a variety of languages: Shell, IaC, Python, SQL

  Execution

  • Planning: familiarity with agile methodologies; use epics, issues to drive projects
  • Organization: personal and team workload organization, OKR leadership
  • Management: able to self-organize and accomplish tasks asynchronously

  Collaboration and Communication

  • Leading and contributing to scope and designs for issues, epics, and OKRs
  • Contributing to Newsela architecture diagrams, process diagrams and runbook documentation
  • Completing Root Cause Analysis (RCA) investigations and perform readiness reviews
  • Improving team practices through code reviews, handoffs of work and incidents

  Influence and Maturity

  • Knowledge sharing, mentoring within SRE and developer teams
  • Self-awareness, handling conflict in the team, providing and receiving feedback
  • Maintaining good relationships with other engineering teams at Newsela that help improve the product
  • Accountability: willing to proactively step in and do the right thing while providing candid and constructive feedback
  •  

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

Why you’ll love working at Newsela:

• Health & Wellness: Comprehensive medical benefits with employer contribution to premiums and to HSA accounts. Additional benefits such as gym reimbursement, pet insurance, free access to the Calm app, Rocket Lawyer and more to help you stay healthy: mind, body, and soul. 
• Work From Home: We are a fully remote company. We provide a monthly tech stipend to support your WFH needs!
• Supporting ALL Families: Inclusive benefits to support you and your family, including parental leave, fertility support, adoption, and more! 
• Financial Wellbeing: Invest in your future with our 401(k) plan, which includes a employer match to help you build long-term financial security.
• Time Off: Flexible PTO, paid sick time off, company holidays plus winter break (Dec 24th - Jan 1st).
• Professional Development: Newsela offers an annual learning and development allowance to employees to attend external training sessions, classes, workshops, conferences, and educational materials to foster professional growth within their current role and career aspirations at Newsela.
• Make A Difference: No matter your role or department, the work you do each day helps share the future of education and improves the lives of students and teachers.

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

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

About Us

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

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

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

About the Role

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

Key Responsibilities

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

What are we looking for?

Technical Skills

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

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

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

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

• Advanced English

Behavioral & Strategic Skills

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

Our Benefits

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

Work Model for this Role

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

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.

Nossa área de Security Engineering

Suas atividades como CSixer 

Requisitos e experiência

Nossos benefícios 

• Vale-Refeição;
• Vale-Alimentação;
• Plano de saúde e odontológico;
• Auxílio-Creche;
• Seguro de Vida;
• WellHub;
• Conexa | Psicologia Viva - Terapia online sem custo;
• Cartão C6 Carbon;
• Carbon Spa - Salão de beleza localizado em nosso escritório;
• Sala de amamentação;
• Empresa Cidadã - Prorrogação do prazo da licença-maternidade e licença-paternidade;
• Bicicletário;
• Vestiário;
• 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 of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You’ll Do

• Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
• Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
• Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
• Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

An Ideal Candidate Should Have

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments
• Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
• Experience with web crawlers, large-scale data processing workflows is a plus
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

What we offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You’ll Do

• Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
• Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
• Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
• Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

An Ideal Candidate Should Have

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments
• Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
• Experience with web crawlers, large-scale data processing workflows is a plus
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

What we offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You’ll Do

• Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
• Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
• Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
• Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

An Ideal Candidate Should Have

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments
• Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
• Experience with web crawlers, large-scale data processing workflows is a plus
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

What we offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

About HG Insights

Headquartered in Santa Barbara, California, HG Insights is the global leader in technology intelligence. We help the world's most innovative companies accelerate their go-to-market efforts with precision through advanced data science methodologies and proprietary data assets. We offer a culture that blends innovation, collaboration, and growth, where each team member is empowered to make a measurable impact.

Role Overview

HG Insights runs data infrastructure across three organizations, two clouds, and sixteen database and caching technologies. As we scale, we're consolidating database ownership under Platform Engineering. This role leads that function.

You will be the first database specialist on our DevOps team; embedded, not siloed. You'll own the full database portfolio: operational health, security posture, cost optimization, and the migration work required to modernize our data layer. As you build the practice, you'll cross-train DevOps engineers so the capability compounds beyond one person.

This is a Senior/Staff individual contributor role. You will set direction on database strategy and own its execution. The team you're joining manages 140+ IaC repositories across AWS, GCP, and Kubernetes.

Job Overview 

_{What You'll Own}

Database ownership across the portfolio

• Primary operator for PostgreSQL (RDS, Aurora, Cloud SQL, NeonDB), MySQL, Redshift, ClickHouse, Elasticsearch, OpenSearch, MongoDB Atlas, and Databricks
• Caching layer ownership: ElastiCache Redis, Dragonfly, Valkey
• Version management and patching across a multi-repo Terraform estate; coordinate EOL remediations across AWS and GCP
• Establish backup, recovery, and DR standards across all managed data layers

Migration and modernization

• Lead Elasticsearch modernization; approved architecture, ready to execute
• Lead ClickHouse stabilization and standardization
• Phoenix data repatriation: move third-party-hosted data in-house as Phoenix migration progresses
• NeonDB consolidation evaluation

Performance and cost

• Own database cost optimization across the portfolio: capacity planning, rightsizing, reserved instance and savings plan recommendations
• Query analysis, slow query identification, connection pool tuning
• Identify and execute on addressable savings in the database infrastructure spend

Platform integration

• Terraform and Terraform Cloud for all database infrastructure; standardize configurations across a fragmented estate
• ArgoCD and Kubernetes (EKS, GKE) for database workloads running in-cluster (Elasticsearch, ClickHouse, Dragonfly)
• GitHub Actions CI for database migration testing and backup validation
• Build and own the database observability layer in Datadog: dashboards, monitors, slow query alerting, replication lag, connection saturation

Collaboration with application engineering

• Partner with application engineering teams on database design, schema changes, query optimization, and technology selection; you are the subject matter authority they escalate to
• Establish and maintain standards for how application teams interact with the data layer: migration tooling, connection management, index design review, and capacity requests
• Own the feedback loop between application performance and database infrastructure; connect slow query data to engineering teams who can act on it

Cross-training and knowledge transfer

• Structured cross-training with the DVO team so database operational capability isn't concentrated in one person
• Document operational runbooks, incident response procedures, and capacity planning models

What We're Looking For

• 5+ years of hands-on database administration or database engineering; not theoretical
• Deep PostgreSQL expertise: replication, vacuum tuning, connection pooling (PgBouncer/PgCat), index strategy, major version upgrades
• Elasticsearch operational experience at scale; index lifecycle management, shard sizing, snapshot/restore, Kubernetes-hosted clusters
• ClickHouse or columnar database experience is a strong plus
• AWS RDS, Aurora, Redshift, ElastiCache; day-to-day operations, not just provisioning
• Terraform and Terraform Cloud; you will be reading and writing IaC on day one
• Kubernetes (EKS or GKE); database workloads run in-cluster and you need to be comfortable there
• Python or Bash scripting; maintenance windows, backup validation, migration tooling
• Migration experience; schema migrations, cross-engine moves, zero-downtime cutover strategies
• Datadog or equivalent observability tooling

Nice to have

• BigQuery, DynamoDB, or Databricks administration
• Redis/Valkey/Dragonfly at production scale
• MongoDB Atlas administration
• Cloud cost optimization (reserved capacity, savings plans)

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 

The Role You’ll Play: 

As a Staff Software Engineer for the Data Platform Engineer team, you’ll shape the backbone of our data strategy—designing scalable pipelines, championing governance, and enabling AI-ready infrastructure. You’ll lead cross-functional projects that fuel analytics, automation, and decision-making across the Playlist ecosystem. Your work will directly empower our teams to create personalized, real-world experiences for millions of users.

• Architect and optimize cloud-native data warehouse solutions that power real-time decisions and long-term strategy
• Design and scale dbt models across bronze/silver layers with a focus on data contracts, observability, and semantic consistency
• Build and maintain robust ETL/ELT pipelines using tools like Fivetran, Snowpipe, and CDC to support streaming and batch workloads
• Lead the design of infrastructure-as-code deployments with Pulumi or Terraform, driving CI/CD maturity and cost-efficient operations
• Elevate data quality with comprehensive monitoring, anomaly detection, and validation frameworks
• Collaborate across squads to align data contracts, expand shared data marts, and support machine learning enablement
• Champion data governance, ensuring privacy and compliance through PII tagging, lineage, and role-based access controls
• Drive continuous platform improvement through systematic tech debt remediation and modernization initiatives

Experience You Bring:  

• Strong expertise in data engineering, software engineering, platform architecture, or modern data warehousing
• Proficient in Python and SQL for automation, transformation logic, and data platform development
• Experience implementing observability standards, anomaly detection, and data quality validation
• Proven ability to lead complex, multi-squad initiatives and deliver scalable outcomes
• Hands-on experience with job orchestration and infrastructure as code (e.g., Pulumi, Terraform)
• Strong understanding of data modeling principles and architectural patterns such as star schemas and bronze/silver/gold layering
• Comfort mentoring engineers, influencing technical roadmaps, and advocating for best practices

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 Product Security Engineer performs all processes and procedures necessary to ensure the safety of KnowBe4 applications and cloud environments. In addition, the primary responsibility is to protect the privacy, confidentiality, integrity, and availability of company and customer data by conducting security assessments, triaging security findings and having a proactive approach in assisting the IT and engineering teams to develop secure applications and secure our cloud environments. 

Responsibilities:

• Conduct regular security assessments and code reviews to identify vulnerabilities and ensure compliance with security standards.
• Develop and maintain threat models for products, understanding potential threats and devising strategies to mitigate them.
• Integrate security practices into the software development lifecycle, ensuring that security is considered at each stage of development.
• Identify, assess, and coordinate the remediation of vulnerabilities within products. This includes staying up-to-date with the latest security threats and trends.
• Implement and maintain security tools and automation systems to streamline security processes for product security
• Participate in incident response activities, helping to manage and mitigate security incidents related to the product.
• Provide training and guidance to development teams on best practices in secure coding and product design.
• Ensure products comply with relevant industry security standards and regulations.
• Work closely with engineering, product management, and other teams to ensure security is a key consideration in all aspects of product development and deployment.
• Stay abreast of the latest security research, technologies, and methods to continuously improve product security.
• Conduct risk analysis to understand the impact of potential security threats and develop risk management strategies.
• Develop and enforce security policies and procedures related to product development and maintenance.

Requirements:

• Bachelor’s degree in information security, information systems, or similar experience preferred
• Relevant field or experience in IT and infosec.
• Experience working in AWS and with Terraform
• Has strong understanding of information security, including a broad range of exposure to cloud infrastructure, systems analysis and application development, vulnerability scanning, policies and procedures, and audits.
• Experience with cloud computing environments including infrastructure as code, containers and functions.
• Strong knowledge of CWE top 25 and OWASP top 10 vulnerabilities
• Understanding of MITRE ATT&CK matrix
• Experience with code development and can read and understand source code in several programming languages such as Ruby, PHP, Go, JS, Python. 
• Automated and Manual Web, Mobile and Traditional application pentesting experience
• Experience with scripting and building automations leveraging tools such as Python and tools such as Claude Code
• Experience leveraging AI in your security testing workflows and processes
• Have a strong networking and security understanding
• Understanding of modern web application development technologies such as MVC, JWT, GraphQL
• Experience with Burp Suite, SAST, DAST, Container and Dependency Scanning tools
• Security certification such as OSWE, OSCP, CISSP, GPEN, CEH, CCSP, AWS desired.
• Strong verbal and written communications
• Excellent time management and organization skills
• Excellent Analytical skills
• Strong problem solving and root cause analysis abilities

Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience. 

The opportunity

At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries. 

We are proud of: 

• The work we do and the innovation we drive 
• Our values of share, care and dare 
• A workplace culture that fosters creativity, diversity and autonomy 
• Our borderless, global framework, which enables seamless collaboration 

The role  

We are seeking a Senior Data Engineer with a strong background in data engineering, ideally with hands-on experience in Google Cloud Platform (GCP) services such as Pub/Sub, Dataflow, and BigQuery. The ideal candidate will have solid proficiency in SQL and Python, along with familiarity in moving and transforming data across cloud-based data zones and streaming pipelines (ETL/ELT). Comfort with cloud services, data management, automation tools, and real-time data processing is essential. 

Role responsibilities

• Demonstrate deep knowledge of the data engineering domain to build and support non-interactive (batch, distributed) & real-time, highly available data pipelines  
• Build fault-tolerant, self-healing, adaptive, and highly accurate data computational pipelines  
• Provide consultation and lead the implementation of complex programs  
• Develop and maintain documentation relating to all assigned systems and projects  
• Tune queries running over billions of rows of data running in a distributed query engine  
• Perform root cause analysis to identify permanent resolutions to software or business process issues
• Implement and maintain dbt transformation models, CI pipelines, and data contracts for curated campaign, ad group, keyword, audience, and landing-page marts.
• Build and monitor data quality gates (Great Expectations and reconciliation checks) and freshness SLOs.
• Optimize BigQuery cost and performance using query tuning, storage design, and reservation strategy.
• Implement platform hardening controls including retries, dead-letter queues, DR runbooks, and support for VPC-SC and DLP validation.

Must have qualifications

To be considered for this role, you must meet the following essential qualifications: 

• Strong expertise in:   
  • Python - for building data pipelines, processing tasks, and automation  
  • SQL - Advanced SQL capabilities (nested fields, analytic functions).  
• Hands-on experience with Core GCP Data Stack:  
  • BigQuery: Expert-level SQL, performance tuning, and specifically BigQuery for advanced SQL, performance tuning, partitioning and clustering strategy, and production-grade curated marts and feature tables; working knowledge of BQML for scoring and evaluation in analytics workflows. 
  • Dataflow (Apache Beam)
  • Strong proficiency in building reliable batch and incremental pipelines for GA4/Google Ads data into BigQuery, with streaming patterns (windowing/watermarks/triggers) used when near-real-time alerting is required.
  • Pub/Sub: Experience with event-driven architecture and message queuing.  
• Hands-on experience with Visualization & BI:       
  
  • Looker Core – Advanced proficiency in LookML (not just drag-and-drop), including derived tables, explores, and Liquid syntax.  
  • Semantic Modeling: Develop robust LookML models to create a trusted layer of data governance, ensuring metrics are consistent across the organization.  
  • Dashboard Creation: Design intuitive, high-impact dashboards in Looker for two distinct audiences: Operational teams (paid search performance monitoring, anomaly triage, and optimization workflows) and Executives (ROAS, conversion efficiency, budget pacing, and channel contribution reporting). 
• Ability to independently own workstreams while collaborating closely with data science, analytics, and engineering peers in agile delivery.
• Advanced English skills 

Nice to have qualifications  

• Google Cloud Professional Data Engineer certification  
• Google Professional Machine Learning Engineer certification  
• Google Cloud Professional Cloud Architect certification  
• Bachelor’s or Master’s degree in a quantitative or technical field (e.g., Computer Science, Engineering, Statistics)    
• Working knowledge of cloud architecture components in GCP  
• Proficiency in Big Data environments and tools such as Spark, Hive, Impala, Pig, etc.  
• Proficiency in Terraform  
• Familiarity with front and back-end web application stacks and frameworks, and API design and usage (REST/GraphQL)    
• Experience leading and managing technical data/analytics/machine learning projects    
• Experience supporting data products consumed by conversational analytics surfaces (BigQuery/Looker query routing, audit logging, and row-level access patterns).

If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn. 

Commitment to reaching all kinds of people 

We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all. 

Your application process

Once you apply, our Talent Acquisition team will review your application. If your skills and experience align with the role, we’ll reach out for next steps. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential.

⚠️ Beware of recruitment fraud: Only engage with official Valtech email addresses.

We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know. 

About Valtech

Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world. 

At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more. 

At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate. 

Are you ready to create what’s next? Join us.

About the Role

We are building a serverless edge compute platform — Lambda-style, but on Telnyx global edge network with VM-level isolation. You will help scale from 1 cluster to 8+, unblock the team on networking and security, and build the foundation for AI-first compute.

What You Will Do

• Deploy and manage Kubernetes clusters (RKE2/Rancher) across multiple cloud providers
• Build and maintain WireGuard VPN tunnels connecting Telnyx to isolated edge clusters
• Own Ansible automation for cluster provisioning and configuration
• Manage infrastructure-as-code with Terraform/OpenTofu
• Build out Prometheus metrics pipelines for billing and observability
• Harden security: network policies, firewall rules, air-gapping compliance

What You Bring

• 1-3+ years hands-on Kubernetes in production
• Strong networking fundamentals (VPNs, firewalls, NAT, routing)
• Infrastructure-as-code experience (Ansible, Terraform)
• Linux systems administration
• Security mindset — you think about attack surfaces

Nice to Have

• Firecracker, Kata Containers, or microVM isolation
• KNative or serverless infrastructure
• Rancher/RKE2 specifically

#LI-KG1
#Li-BRAZIL

Important Information  

Location: Brazil 
Job Mode: Full-time  
Work Mode: Work from home

Job Summary

As a Senior Java Backend Engineer, you will lead the design and optimization of scalable backend systems using Google Cloud Platform (GCP), Java, and Spring Boot, focusing on critical services like APIs, databases, and microservices. Collaborating with cross-functional teams, you will enhance system performance, reliability, and scalability, while staying ahead of technological advancements to improve our tech stack and security practices.

Responsibilities and Duties

• Lead the design, development, and maintenance of scalable, secure backend systems using Java and Spring Boot with GCP services;
• Implement and optimize microservices architecture to enhance scalability, performance, and reliability;
• Conduct software analysis, integration, and unit testing, while optimizing code and ensuring quality;
• Address and resolve support requests within defined SLAs, focusing on backend service issues;
• Develop and maintain APIs (RESTful, gRPC, GraphQL) to support application features;
• Utilize CI/CD pipelines for efficient deployment and integration. Write clean, maintainable, and well-documented code adhering to coding standards;
• Troubleshoot, debug, and enhance the performance and stability of backend systems;
• Collaborate with cross-functional teams, including frontend and DevOps, to define and implement new features;
• Stay updated on emerging technologies and actively contribute ideas to improve the tech stack, including enhancing security practices.

Essential Skills

• Extensive experience in backend development with a strong focus on Java and Spring Boot;
• Hands-on experience with Micronaut for building microservices;
• Advanced proficiency in Google Cloud Platform (GCP) services, such as Cloud Functions, Cloud SQL, Compute Engine, and Cloud Storage;
• Advanced knowledge and experience in implementing and optimizing microservices architecture;
• Intermediate expertise with both SQL and NoSQL databases;
• Intermediate proficiency in Docker, Kubernetes, and Terraform;
• Intermediate knowledge of CI/CD pipelines and automation tools;
• Strong understanding of identity management, particularly GCP IAM, for authentication and authorization practices;
• Proficiency in version control tools like GitHub, GitLab, or Bitbucket;
• Basic knowledge of modern software development methodologies, including Agile and Scrum;
• Adaptable and proactive with a commitment to continuous learning and improvement.

Highly Desirable Skills

• Familiarity with AWS services to complement GCP expertise;
• Experience with Python or Node.js to enhance backend flexibility;
• Understanding of frontend technologies like Vue.js and React.js for effective collaboration with frontend teams;
• Knowledge of advanced security practices to strengthen application security;
• Certification in cloud technologies or software development methodologies, adding credibility to expertise.

About Encora

Encora is the preferred digital engineering and modernization partner of some of the world’s leading enterprises and digital native companies. With over 9,000 experts in 47+ offices and innovation labs worldwide, Encora’s technology practices include Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering.

At Encora, we hire professionals based solely on their skills and qualifications, and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.

Important Information 

Location: Brazil
Job Mode: Full-time 
Work Mode: Work from home

Job Summary

We are seeking a Site Reliability Engineer (SRE) to join our engineering team. This role is critical in ensuring the reliability, scalability, and security of our production systems. The ideal candidate will have strong expertise in cloud platforms, automation, observability, and compliance frameworks, with a passion for building resilient infrastructure and tools.

Responsibilities and Duties

• Manage vulnerabilities and implement security measures aligned with NIST and SOC2 compliance standards;
• Lead incident management and change management processes;
• Develop, maintain, and deploy software and tools in production environments;
• Design and manage CI/CD pipelines across Azure and AWS;
• Ensure system observability using telemetry tools such as New Relic and Dynatrace, including monitoring, alerting, and reporting;
• Conduct penetration testing and support security audits;
• Apply SRE best practices to improve system reliability and availability;
• Automate processes and support system administration tasks.
  

Essential Skills

• Strong experience with Kubernetes;
• Hands-on expertise with Azure or AWS, focusing on CI/CD pipeline deployment and maintenance;
• Proficiency in Terraform or Ansible development;
• Experience with code repositories such as GitLab;
• Knowledge of Postgres databases;
• Familiarity with telemetry tools (New Relic, Dynatrace) for monitoring and alerting;
• Experience with security tools and practices, including NIST, SOC2 compliance, and penetration testing;
• Strong troubleshooting, sysadmin, and automation skills;
• Solid knowledge of Site Reliability Engineering (SRE) principles.
  

About Encora

Encora is the preferred digital engineering and modernization partner of some of the world’s leading enterprises and digital native companies. With over 9,000 experts in 47+ offices and innovation labs worldwide, Encora’s technology practices include Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering.

At Encora, we hire professionals based solely on their skills and qualifications, and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.

Important Information 

Location: Brazil
Job Mode: Full-time 
Work Mode: Work from home

Job Summary

We are looking to recruit a highly skilled and experienced Backend developer with experience in Kubernetes to work with global development teams from Europe, Cananda, and US. You will be involved in designing, developing, deploying, and managing scalable and resilient backend services within a containerized, cloud-native environment, and on-premise customer environment. The candidate needs a strong foundation in backend development principles, coupled with hands-on expertise in leveraging Kubernetes for orchestrating microservices and ensuring high availability and performance of our applications. You will collaborate closely with frontend developers, DevOps engineers to deliver innovative software solutions.

Responsibilities and Duties

• Design, develop, and maintain backend code using Java, Python programming languages;
• Develop and manage RESTful APIs and microservices;
• Containerize applications using Docker and create/manage Kubernetes manifests and Helm charts for deployment;
• Deploy, manage, and scale applications within Kubernetes clusters on cloud platforms AWS, Azure, and customer’s on-prem environments;
• Implement and manage CI/CD pipelines for automated builds, testing, and deployments;
• Design and interact with databases (SQL and NoSQL) ensuring optimal performance and data integrity;
• Monitor application and cluster health using tools like Prometheus, Grafana, and ELK stack; troubleshoot and resolve issues promptly;
• Implement and enforce security best practices for applications and infrastructure within the Kubernetes environment;
• Optimize applications for maximum speed, scalability, and resilience;
• Stay current with emerging cloud-native technologies and Kubernetes best practices;
• Contribute to infrastructure-as-code initiatives using tools like Terraform or Ansible;
• Participate in code reviews and advocate for high-quality coding standards.

Essential Skills

• BS or MS in Computer Science or related Engineering discipline;
• Proven experience delivering software applications;
• Solid understanding of how to build publicly exposed APIs;
• Familiarity with CI/CD principles and tools technologies: Jenkins and GitLab Runner;
• Team player; willing to coach junior team members and cooperate on cross-functional problem solving;
• Experience with Cloud and SaaS Development: Azure, AWS, Docker, Kubernetes;
• Working in an Agile development environment.

Highly Desirable Skills

• Knowledge of infrastructure-as-code tools (e.g., Terraform, Ansible);
• Understanding of networking concepts in Kubernetes;
• Experience with serverless computing;
• Distributed Computing: distributed job orchestration on Kubernetes, parallel execution patterns, backpressure, sharding/partitioning, fault tolerance, checkpointing; frameworks (Ray/Spark/Dask) if applicable. We are mostly interested in Ray;
• Implemented Kafka-based message-driven services and event-driven autoscaling on Kubernetes using KEDA (consumer-group scaling, DLQ/error handling, and scaling policies with performance/cost guardrails).

About Encora

Encora is the preferred digital engineering and modernization partner of some of the world’s leading enterprises and digital native companies. With over 9,000 experts in 47+ offices and innovation labs worldwide, Encora’s technology practices include Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering.

At Encora, we hire professionals based solely on their skills and qualifications, and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.

Important Information 

Location: Brazil
Job Mode: Full-time 
Work Mode: Work from home

Job Summary

We are seeking a highly experienced Data Engineer Lead to architect, develop, and deliver robust, scalable, end-to-end automation solutions. This role demands deep technical expertise across solution architecture, environment setup, deployments, observability, governance, and continuous improvement. The ideal candidate is a strong technical leader and communicator who partners closely with business stakeholders to define automation strategies and deliver high-impact, enterprise-grade solutions.

Responsibilities and Duties

• Lead and mentor a team of data engineers, providing technical guidance, code reviews, and best practices to ensure high-quality deliverables;
• Own the end-to-end data migration strategy from Snowflake on AWS to Azure Databricks and DBT, including planning, execution, and optimization;
• Collaborate with cross-functional stakeholders (data, product, architecture, and business teams) to align data initiatives with organizational goals;
• Architect and oversee scalable, secure, and reliable data pipelines and infrastructure in Azure;
• Drive the design and implementation of infrastructure-as-code using Terraform, ensuring consistency and maintainability;
• Ensure efficient data integration between Snowflake and Azure environments, establishing robust and scalable data flows;
• Oversee data transformation frameworks using Databricks and DBT, promoting reusable and modular design patterns;
• Establish and enforce data engineering standards, governance practices, and CI/CD workflows;
• Proactively identify risks, troubleshoot complex technical issues, and implement long-term solutions;
• Lead documentation efforts for architecture, processes, and best practices across the data platform.

Essential Skills

• Experience in Data Engineering;
• Proven experience leading data engineering teams and delivering large-scale data platform initiatives;
• Strong hands-on experience with Snowflake, Azure Databricks, and DBT;
• Deep expertise in cloud infrastructure and infrastructure-as-code tools, especially Terraform;
• Extensive experience with cloud data migration projects (AWS to Azure preferred);
• Strong experience with CI/CD pipelines and Git-based version control;
• Advanced proficiency in SQL, data modeling, and ETL/ELT design patterns;
• Strong understanding of data architecture, scalability, and performance optimization;
• Ability to operate in a fast-paced, collaborative, and evolving environment;
• Mandatory experience in the insurance industry, with understanding of insurance data domains (policies, claims, underwriting, etc.).

Highly Desirable Skills

• Experience with data governance frameworks (data cataloging, lineage, quality, and observability tools);
• Knowledge of security and compliance standards relevant to insurance and financial data;
• Familiarity with streaming and real-time data processing (Kafka, Event Hubs, Delta Live Tables);
• Experience designing lakehouse architectures and implementing cost-optimization strategies;
• Exposure to multi-cloud environments and advanced automation practices.

About Encora

Encora is the preferred digital engineering and modernization partner of some of the world’s leading enterprises and digital native companies. With over 9,000 experts in 47+ offices and innovation labs worldwide, Encora’s technology practices include Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering.

At Encora, we hire professionals based solely on their skills and qualifications, and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.

Important Information 

Location: Brazil
Job Mode: Full-time 
Work Mode: Work from home

Job Summary

We are looking for a skilled Python Developer to join our team, with proven experience in building reliable applications in Azure environments. The ideal candidate will also have hands-on knowledge of Infrastructure as Code and be familiar with core Azure services such as Virtual Networks (VNet), Virtual Machines (VMs), Role-Based Access Control (RBAC). Experience in cloning and deploying services efficiently will be highly valued.
While the primary focus is on Azure, familiarity with AWS is considered a plus.

The Mission

We are seeking an exceptional Machine Learning Architect to join our growing Cloud Native Applications team. The right candidate is someone who has deep expertise in ML system 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, Engineering Managers, 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

• Experience with IaC tools (CloudFormation, CDK, Terraform).
• Expert level experience in Amazon SageMaker and ML libraries (TensorFlow, MXNet, PyTorch, Scikit-learn).
• Strong understanding of ML concepts: feature engineering, hyperparameter tuning, optimization strategies.
• Familiarity with MLOps tools (MLflow, Neptune, Comet).

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.

Engineering at Brex

Engineering at Brex is about building systems that scale with speed and intention. Our teams span Software, Data, Security, and IT, and operate with high autonomy and deep collaboration. We tackle hard technical problems, own our outcomes, and push for excellence at every level — from architecture to deployment. It’s an environment where engineering is a craft, and builders become leaders.

What you’ll do

As a Senior Software Engineer, Infrastructure (Release Engineering) at Brex, you will design, build, and operate the core systems that power Brex’s release, observability, and incident management processes. You will partner closely with product, platform, and operations teams to ensure releases are safe, fast, and reliable, and that our infrastructure scales securely as Brex grows.

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 on Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities

• Design, build, and maintain the release infrastructure that powers Brex’s deployment pipelines and incident workflows
• Drive technical strategy and architecture for release and observability systems, making them more scalable, reliable, and secure
• Collaborate with product, engineering, and operations partners to ensure Brex’s releases are safe, predictable, and low-friction
• Identify and deliver improvements to the end-to-end release process (from code merge to production) to reduce risk and cycle time
• Build and evolve tooling for observability and incident response, enabling fast detection, triage, and resolution
• Proactively identify and mitigate risks in our release and infrastructure stack, including performance, reliability, and security concerns
• Define, instrument, and monitor key metrics for release engineering (e.g., deployment frequency, change failure rate, MTTR) and use them to guide improvements
• Partner with other infrastructure and product teams to debug complex production issues and drive long-term fixes
• Contribute to and champion best practices in release engineering, reliability, and operational excellence across the organization
• Mentor other engineers on the team, providing technical guidance and code reviews to elevate the overall quality of our infrastructure
• Stay up-to-date on emerging tools and practices in release engineering, observability, and SRE, and bring relevant ideas into Brex’s stack

Requirements

• 7+ years of professional experience designing, building, and operating backend or infrastructure systems in production
• Strong proficiency in backend programming languages (e.g., Go, Java, Kotlin, or Python) with a focus on reliability and performance
• Hands-on experience with CI/CD and release pipelines (e.g., GitHub Actions, CircleCI, Buildkite, Argo, Spinnaker, Jenkins) including build, test, and deployment automation
• Experience architecting and operating scalable, high-availability distributed systems on cloud platforms (e.g., AWS, GCP, Azure)
• Deep familiarity with containerization and orchestration (e.g., Docker, Kubernetes) and infrastructure-as-code (e.g., Terraform, CloudFormation)
• Experience designing and maintaining observability tooling (metrics, logs, tracing) and integrating it into incident response workflows
• Strong understanding of reliability and SRE practices, including SLIs/SLOs, error budgets, and incident management best practices
• Experience designing and optimizing data storage systems (SQL and/or NoSQL) for operational and observability use cases
• Proven track record of improving release processes (e.g., reducing deployment risk, increasing deployment frequency, automating rollbacks)
• Comfort working cross-functionally with product and other engineering teams to debug complex production issues and ship changes safely
• Strong communication and collaboration skills, including writing clear design docs and driving technical decisions across teams

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

Role Summary

We're looking for a Developer Experience Engineer to revolutionize the development experience at Clara by building a self-service platform that automates and simplifies infrastructure, deployments, and operations. You'll be responsible for eliminating friction in the development lifecycle, enabling engineering teams to focus on delivering business value.

Key Responsibilities

Developer Experience & Self-Service Platform

• Design and maintain a developer portal (Backstage.io or similar) as the central hub for resource management
• Build abstractions and APIs that enable developers to provision resources without manual intervention
• Implement self-service workflows for environment creation, configurations, and permissions
• Create reusable templates and blueprints for services, repositories, and pipelines

CI/CD & Automation

• Design, implement, and optimize highly automated CI/CD pipelines
• Reduce build and deployment times through intelligent caching, parallelization, and optimizations
• Implement GitOps and continuous deployment with automated rollback capabilities
• Automate testing (unit, integration, e2e) in pipelines with clear reporting
• Create advanced deployment strategies (blue-green, canary, feature flags)

Ephemeral Environments

• Design and implement ephemeral/preview environment solutions for each PR/branch
• Automate the complete lifecycle: creation, configuration, and cleanup
• Optimize costs through auto-scaling, scheduling, and garbage collection of unused resources
• Integrate ephemeral environments with code review and testing workflows

Observability & Alerting

• Implement intelligent alerting systems with noise reduction and event correlation
• Configure dashboards and SLI/SLO metrics for critical services
• Establish automated runbooks and auto-remediation for common incidents
• Integrate observability (logs, metrics, traces) into the developer portal

Infrastructure as Code & Security

• Maintain and evolve infrastructure as code (Terraform, CloudFormation, etc.)
• Implement automated security controls (policy as code, security scanning)
• Manage secrets, configurations, and access securely and with full auditability
• Apply least privilege and zero-trust principles across all systems

AI/ML Ops Integration

• Explore and implement AI tools for resource optimization and failure prediction
• Automate operational tasks using ML (anomaly detection, capacity planning, incident classification)
• Evaluate and adopt emerging AI Ops tools

Technical Requirements

Must Have

• 5+ years of experience in DevOps/SRE/Platform Engineering
• Mastery of cloud providers (preferably AWS)
• Solid experience with Kubernetes and microservices architectures
• Expertise in CI/CD tools (GitHub Actions, GitLab CI, Jenkins, ArgoCD)
• Proficiency in Infrastructure as Code (Terraform, Pulumi, CloudFormation)
• Experience with containers (Docker, Kubernetes, ECS/EKS)
• Advanced scripting skills (Python, Bash, Go)
• Knowledge of observability tools (Prometheus, Grafana, ELK, Datadog, New Relic)

Nice to Have

• Experience with Backstage.io or similar developer portal platforms
• FinOps knowledge and cloud cost optimization
• Experience in FinTech organizations or highly regulated environments
• Familiarity with AI Ops tools (AIOps platforms, ML-based monitoring)
• Cloud certifications (AWS Solutions Architect, CKA, etc.)
• Experience with service mesh (Istio, Linkerd)
• Compliance and security knowledge (PCI-DSS, SOC2)

Key Skills

• Automation obsession: If something is done twice, it should be automated
• Product mindset: Treat internal platform as a product with "customers" (developers)
• Ability to abstract complexity: Make the complex simple for end users
• Effective communication: Document clearly, create runbooks, and educate teams
• Problem solving: Systems thinking to solve problems at their root
• Continuous improvement mindset: Constantly seek ways to optimize and simplify

What You'll Build

• Self-Service Portal: Unified interface where developers can:
  • Create new services from templates
  • Provision ephemeral environments in seconds
  • Configure alerts and dashboards with clicks
  • Request access and permissions with automated approvals
• Intelligent Pipelines: CI/CD that:
  • Detects changes and runs only relevant tests
  • Auto-deploys to production with quality gates
  • Auto-rollback on failures
  • Provides instant feedback to developers
• On-Demand Environments: System that:
  • Creates complete environments per PR in <5 minutes
  • Sanitized copy of production data
  • Unique URLs for testing and demos
  • Automatic cleanup when PR is closed
• Proactive Observability: Platform that:
  • Alerts only when action is required
  • Automatically suggests root causes
  • Auto-remediation of known issues
  • Customized dashboards per team/service

What you'll do

We're looking for an AWS Cost Optimization Specialist. At Clara, our infrastructure is the backbone of our financial services, and managing it efficiently is key to our scalability and unit economics. You will design and execute Clara’s AWS cost optimization strategy, moving beyond simple monitoring to proactive financial engineering.

Your mission is to bridge the gap between Engineering and Finance, ensuring that every dollar spent on the cloud translates into direct value for our customers. You will drive visibility into cost per transaction and cost per product while building the automated governance required for a high-growth fintech.

Primary Responsibilities:

• Strategy & Analysis: Design and execute the global AWS cost optimization strategy, continuously identifying savings across EC2, ECS, and Aurora clusters.

• Governance & Tagging: Implement standardized tagging strategies for precise cost allocation by domain, squad, country, and product.

• Infrastructure Optimization: Optimize AWS Kafka clusters, OpenSearch storage strategies, and networking/data transfer costs to ensure lean operations.

• FinOps Automation: Define and implement automated shutdown policies for non-production environments and configure advanced anomaly detection and budget alerts.

• Data & Dashboards: Build executive and operational dashboards using AWS Cost Explorer, Athena, or QuickSight to provide real-time visibility into cloud spend.

• Architectural Partnership: Partner with engineering teams to design cost-efficient architectures and establish long-term cloud financial governance standards.

Who you are

“We’re looking for someone who meets the minimum requirements to be considered for the role. The preferred qualifications are a bonus, not a requirement.”

Must haves:

• 4+ years of hands-on AWS experience in production environments, with a proven track record in cloud cost optimization initiatives.

• Strong technical knowledge of EC2, EBS, RDS, S3, EKS, Lambda, and CloudFront.

• Mastery of AWS Savings Plans, Reserved Instances, and multi-account environment management via AWS Organizations.

• Experience implementing FinOps best practices and strong understanding of cost modeling.

• Experience with Infrastructure as Code, specifically Terraform.

• Ability to analyze cost data using SQL, Athena, or Python.

• Working proficiency in English and Spanish.

• Experience or interest in AI tools to automate workflows and detect spending patterns.

Nice to haves:

• AWS Certifications (Solutions Architect, DevOps, or Advanced Networking).

• Experience in regulated environments (PCI, SOC2).

• Experience with cloud cost management and optimization platforms (CloudHealth, CloudCheckr, or native AWS cost tools).

• Basic proficiency in Portuguese or a desire to learn it.

• A good sense of humor.

The Mission 

We are seeking an exceptional Principal Architect to join our growing Cloud Architecture & Engineering team. The right candidate is someone who has deep expertise in cloud architecture 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 Assignments

● 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

● 5+ years of experience as an Architect in enterprise environments, preferably in a consulting capacity.
● Ability to clearly communicate technical objectives and solutions while cultivating professional client relationships.
● Demonstrated critical and strategic thinking across business, product, and technical challenges.
● Strong expertise in serverless development using API Gateway, Lambda, S3, SNS, SQS, and CloudFront.
● Hands-on experience managing AWS environments and implementing Infrastructure-as-Code (IaC).
● Advanced experience with DevOps automation, including containerization, API management, and multi-cloud solutions.

Preferred Qualifications:

• Experience with:
  
  • Migrations
  • CI/CD practices
  • Infrastructure-as-Code (Terraform, CloudFormation, AWS CDK, Pulumi)
  • Scripting
  • Containers (Kubernetes, Docker, ECS, Fargate)
  • Cloud security best practices
  • Networking
  • Incident, release, problem, and change management
• Experience working in Agile delivery environments.

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

Note: This isn’t an active role right now, but we’re building a community of great talent for future opportunities at Caylent. If your background aligns with what we’re looking for, our team may reach out to learn more about you and explore potential future fits.

The Mission

At Caylent, a Senior Machine Learning Engineer works as an integral part of a cross-functional delivery team to design and document machine learning solutions on the AWS cloud for our customers.  We are looking for someone that has a strong understanding of the various model types and tools, and can help our customers connect their business goals with the details of feature design, model training and inference.  You will develop solutions designed by an architect.

You will participate in daily standup meetings with your team and bi-weekly agile ceremonies with the customer.  Your manager will have a weekly 1:1 with you to help guide you in your career and make the most of your time at Caylent.

Your Assignments

• Work with a team to deliver machine learning solutions on AWS for customers
• Participate in and contribute to daily standup meetings
• Develop and implement ML models, MLOps, and analytics
• Big data processing and preparation of training data for models

Your Qualifications

• Strong experience in building ML models for real world applications
• Strong experience in at least one of these:
• AWS ML Services/SageMaker
• ML libraries like Keras, Tensorflow, PyTorch, Scikit-learn
• MLOps tools such as MLflow, Kubeflow, Airflow
• Advanced analytics using time series forecasting and/or inferential statistics
• Strong experience in one or more of these data processing solutions:
• Big data processing platforms like Spark, Hadoop, or streaming platforms
• Data processing and cleansing using Python/Pandas, PySpark, Scala, SQL
• Strong understanding of feature definition, model meta-data, hyperparameter tuning, stochastic gradient descent, deep learning layer types and activation functions
• Experience in visualization using SageMaker, ggplot, matplotlib, or seaborn
• Experience with an IaC tool such as CloudFormation, Amazon CDK or Terraform
• Excellent written and verbal communication skills

Benefits 

• 100% remote work
• Generous holidays and flexible PTO
• 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 Software Engineer to the payments team located both in Brazil and Portugal.

Responsible for the platform that serves the entire Wellhub business, processing millions of transactions for users and companies around the globe. We work closely with cross-functional teams and payment service providers to deliver optimum checkout conversion rates and efficient account management interactions. 

We are creating a new architecture and set of systems that will guarantee consistency across multiple areas and services.

YOUR IMPACT

You will research and execute strategic projects along with your team. Your deliverables influence B2B and B2C checkout conversion around the globe, by both creating new payment mechanisms and improving/maintaining existing ones.

Together with the technical leadership, you will implement and deliver solutions working with a cross-functional team. 

You will have the opportunity to develop leadership skills,  working closely with mid-level and junior engineers and help them speed up their learning curve. You will also have opportunities to develop engineering skills by getting involved in scalability problems, system architecture, and code quality assurance, among others.

• Participate in the development of some of the most critical and challenging services in our ecosystem, seeking to build long-term and sustainable solutions.
• Design, develop, test, deploy, maintain, and improve services focusing on performance, scalability, and resilience;
• Build Integration with 3rd party API and tools.
• Work in a collaborative and agile environment that prioritizes people over process.
• Work with cutting-edge technologies and edge cases on a global scale.

WHO YOU ARE

Essential requirements:

• Commitment to delivering high-quality, maintainable solutions and continuously improving processes
• Proven experience designing and implementing RESTful APIs using Kotlin/Java with Spring Framework.
• Strong knowledge of asynchronous processing, message queuing, and retry/backoff strategies for reliable system communication
• Solid software architecture expertise, including:
• Event-driven architectures
• Domain-Driven Design (DDD)
• Hexagonal / Ports & Adapters architecture
• Strong software quality orientation with proficiency in automated testing (unit, integration and e2e tests)
• Hands-on experience with AWS Cloud Services and Cloud-Native environments (Kubernetes, container orchestration, service discovery).
• Expertise in designing and implementing observability and traceability strategies, including distributed tracing, centralized logging, and metrics instrumentation.
• Proven track record with microservices architectures, high-throughput distributed systems, and resilience engineering techniques (circuit breakers, retries, fallback mechanisms).
• Demonstrated ownership of technical decisions, architectural trade-offs, and phased delivery strategies throughout career.
• Bachelor’s degree in Computer Science or equivalent professional experience.
  
  

Additional Desirables:

• Software development using AI tools
• Practical experience with serverless architectures (e.g., AWS Lambda, Google Cloud Functions).
• Working knowledge of NoSQL databases (e.g., DynamoDB, MongoDB, Cassandra).
• Proficiency with Infrastructure as Code tools (e.g., Terraform).
• Experience with progressive delivery strategies such as blue-green deployments, canary releases, and feature flagging.

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. 

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