About the role

As a Staff Software Engineer (SDK), you will own platform live ops features and apply your creativity throughout the entire development lifecycle - from initial design to live game support. You will collaborate closely with product, design, and engineering teams to deliver high-quality game client features and reusable components, helping to accelerate development across Fortis Games. In this role, you will also provide technical leadership, architectural guidance, and mentorship to other engineers.

What you’ll achieve

• Engage in full-lifecycle development: scoping, design, implementation, documentation, and deployment of our game application.
• Lead technical design and design principles for client features and shared components
• Collaborate with back-end engineers on server-dependent game features.
• Work with product managers to shape product scope, evaluate technical tradeoffs, and define scalable solutions
• Adhere to and elevate studio development guidelines, code style, testing strategy, and architecture standards
• Perform in-depth client code analysis to identify and resolve complex bugs and performance issues.
• Create and review technical design documents to guide stakeholders and engineers
• Mentor and support other engineers, including guidance on TDD practices and effective use of AI coding agents in daily workflows

What you’ll need to be successful

• Experience developing mobile games or client applications using Unity3D
• Familiarity with building SDKs and reusable client frameworks
• Proven software engineering expertise within the gaming industry
• Experience leading architecture and technical design decisions
• Strong knowledge of software design principles and test-driven development (TDD) practices
• Experience collaborating with product managers on feature scope and technical planning
• Practical experience using AI coding agents / AI-assisted development tools with appropriate validation and quality control
• Team player, able to collaborate effectively with engineers, designers, and developers, with strong communication skills

About Us

Nu is one of the largest digital financial platforms in the world, with more than 127 million customers across Brazil, Mexico, and Colombia. Guided by our mission to fight complexity and empower people, we are redefining financial services in Latin America — and this is still just the beginning of the purple future we're building. Listed on the New York Stock Exchange (NYSE: NU), we combine proprietary technology, data intelligence, and an efficient operating model to deliver financial products that are simple, accessible, and human. Our impact has been recognized by global rankings such as Time 100 Companies, Fast Company’s Most Innovative Companies, and Forbes World’s Best Bank. Learn more at  https://international.nubank.com.br/careers/.

About the Team

The IT team is the operational backbone of Nubank’s internal infrastructure. As the company scales, we’re building the service management foundations that let engineering teams move faster with more confidence — turning IT operations into a strategic advantage, not just a support function.

About the Role

As a Staff IT Engineer - Service Management, you will own and evolve Nubank’s IT Service Management (ITSM) practice end to end. You’ll design and implement processes, tools, and governance that keep our internal services reliable, auditable, and efficient, enabling engineering teams to focus on high-impact work while maintaining strong operational controls in a regulated environment.

You’ll Be Responsible For

• Continuing to build and own Nubank's ITSM practice, defining and implementing core ITIL v4 processes: incident, problem, change, service request, and knowledge management.
• Establishing a service catalog with clearly defined SLAs and OLAs aligned with internal stakeholder expectations.
• Owning the end-to-end ITSM toolchain (Jira Service Management or equivalent): configuration, workflow design, form logic, SLA rules, and integrations with adjacent systems.
• Identifying and closing automation gaps — routing, escalation, notifications, and reporting — partnering with engineering teams to reduce manual toil across operations.
• Defining and tracking operational KPIs (MTTR, SLA compliance, first-contact resolution, change success rate) and building regular reporting cadences for leadership and stakeholders.
• Establishing a Change Advisory Board (CAB) with structured documentation and approval workflows.
• Supporting audit and compliance requirements with structured evidence of IT operational controls, essential in a regulated financial environment.
• Driving ITSM adoption across the organization, creating runbooks, training materials, and documentation that embed service management culture at scale.

We Are Looking For a Person Who Has

Mandatory qualifications

• 7+ years of experience in IT service management, IT operations, or a related discipline.
• Deep ITIL v4 expertise; ITIL 4 Foundation or Managing Professional certification strongly preferred.
• Proven track record of building ITSM practices from scratch or significantly transforming an existing function.
• Hands-on experience owning and configuring ITSM tooling end-to-end (Jira Service Management, ServiceNow, or equivalent) — not just using it, but designing it.
• Ability to work cross-functionally in a fast-paced, engineering-led environment, with strong influence-without-authority skills.
• Strong written and verbal communication, including the ability to present to senior leadership.

Nice-to-have qualifications

• Experience in fintech, high-growth tech, or other regulated industries.
• Familiarity with adjacent frameworks: COBIT, ISO 20000, or SRE principles.
• Experience partnering with Security and/or Platform Engineering teams.
• Fluent English.

What We Offer

• Greenfield, high-visibility scope: you’ll define what “good” ITSM looks like at Nubank’s scale — from zero.
• Direct exposure to senior leadership across IT and Engineering.
• A culture that values ownership and getting foundations right, without bureaucracy for its own sake.

Our Benefits – Brazil

• 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

(For hybrid roles, commuting-related benefits such as Vale-Transporte and gym partnerships remain applicable.)

Work Model for This Role

Hybrid – 2–3 times per week in the office.
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/.

Explore how we build technology at Nubank:

• building.nubank.com.br
• youtube.com/@building.nubank
• Our stories on Spotify

Diversity & Inclusion

At Nubank, we want to be sure that we’re building a more diverse and inclusive workplace that reflects the customers we serve and seek to empower. That’s why we hire based on equality. We consider gender, ethnicity, race, religion, sexual orientation, and other identity markers as enriching elements to our company, while ensuring none of them represent a barrier when recruiting fantastic talent.

How to Apply

If you’re excited about building a robust IT Service Management foundation that enables Nubank to scale with reliability and speed, we’d love to hear from you. Apply now and help us shape the future of financial services in Latin America.

Data at Brex

Our Scientists and Engineers work together to make data — and insights derived from data — a core asset across Brex. But it's more than just crunching numbers. The Data team at Brex develops infrastructure, statistical models, and products using data. Our work is ingrained in Brex's decision-making process, the efficiency of our operations, our risk management policies, and the unparalleled experience we provide our customers.

What You’ll Do

As a Data Engineer at Brex, you will be a core contributor in transforming raw data into actionable insights for various departments across the organization. You'll collaborate closely with Data Scientists, Software Engineers, and business units to create efficient data models, pipelines, and analytics frameworks that drive the business forward. You also play a leading role in the design, implementation, and maintenance of Core Data tables, our high-quality, curated data source for a wide range of analytic applications. 

Where you’ll work

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

Responsibilities:

• Design, build, and maintain data models and pipelines that scale with the growing number of services, products, and changes in the company.
• Collaborate closely with Data Scientists, Data Analysts, and Business teams to understand their data needs, translating them into robust, efficient, scalable data solutions that enable ease of predictive analytics, data analysis, and metrics formulation. 
• Maintain data documentation and definitions, building and ensuring that source-of-truth tables remain high quality for data science and reporting applications. 
• Develop and enable integration with various data sources, allowing for more data-driven initiatives across the company.
• Apply best practices in data management to ensure the reliability and robustness of data utilized across various analytics applications.
• Set and proliferate company-wide standards for data relating to structure, quality, and expectations.
• Act as a liaison between the technical and non-technical teams, bridging gaps and ensuring that data solutions align with business objectives.
• Use agentic AI where it speeds up pipeline and quality work, without skipping validation.

Requirements:

• 3+ years of experience in Data Engineering, Data Analytics, or a related field such as Analytics Engineering.
• Advanced knowledge of databases and SQL with the ability to efficiently stage, process, and transform data.
• Experience integrating and orchestrating data workflows with various modern data tools and systems.
• Experience with data modeling, ETL/ELT processes, and data warehousing solutions.
• Experience working with a data warehouse such as Snowflake.
• Experience with a data workflow orchestrator tool such as Airflow.
• Experience with a programming language such as Python. 
• Experience with agentic AI. 
• Exceptional quantitative and analytical skills.
• Strong communication skills and ability to collaborate with various stakeholders, both technical and non-technical.

Nice to have:

• Familiarity with BI tools such as Looker, Tableau, or similar platforms. 
• Solid dbt in production: models, tests, docs, and collaboration in a shared repo. 
• AI-ready data: Metrics and dimensions are clear and reusable so AI-assisted analysis does not fork definitions. 
• Experience with Salesforce data integration. 

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

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 Nubank’s Mobile Platform - Global Experience Design

The Mobile Platform’s mission aligns with Nubank’s commitment to delivering the best experience for our customers by ensuring a high-performing, stable, and seamless app.

Within Mobile Platform, focuses on providing user-friendly, scalable, high-performing, and cost-efficient app infrastructure components and mobile tools that enable Nubank engineers to quickly and safely test, deploy, monitor, analyze, and improve app flows and features.

Global Experience Design is one of Nubank’s building blocks, bringing together UX, design, and customer experience. The team works on evolving the app experience and the design system, connecting Mobile Platform, App Excellence, Design Systems, and App Core to create simple, consistent, and scalable experiences. We are at the heart of the Nubank app’s foundation, driving performance, infrastructure scalability, and the removal of legacy dependencies to allow our application to grow from millions to potentially billions of passionate customers.

The Opportunity

This role will involve working across a variety of technologies, including Native, Flutter, and related frameworks. We are looking for a Staff Mobile Engineer with solid experience to join the Mobile Platform team — a cross-impact engineering team responsible for building and maintaining the core infrastructure of the mobile application, optimizing our performance, and enabling product teams to deliver high-quality mobile experiences.

What We’re Looking For

Must Have:

• Proven and solid experience in technical development of mobile applications at a strategic leadership level.
• Strong technical background with Flutter and/or native mobile development (Android/iOS).
• Solid understanding of mobile software engineering principles, architectural patterns, and modularization strategies.
• Experience with server driven UI, performance optimization, dependency injection, and migration of core systems.
• Knowledge of mobile observability, monitoring, and debugging tools.
• Strong communication skills in English, with the ability to explain complex concepts to diverse audiences.
• Track record of delivering results in ambiguous, fast-paced environments.

Nice to Have:

• Experience with backend technologies, especially those integrated with mobile applications.
• Familiarity with distributed systems and large-scale app architecture.
• Contributions to internal SDKs, libraries, or mobile design systems.
• Understanding of user authentication, session management, and app state handling.
•  
  Leadership in global teams.

Why Join Us

• Impact at Scale: Help shape the mobile experience for millions of customers across multiple countries, with the goal of reaching billions.
• Technical Leadership: Influence the architecture and foundational technologies that all Nubank engineers rely on.
• Innovation-Driven Culture: Work in a dynamic, collaborative environment that values experimentation, continuous improvement, and engineering excellence.
• Career Growth: Develop as a strategic engineering, working on complex technical and organizational challenges.

Our Benefits

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

Work Model for this Role

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

We're looking for a Forward-deployed Engineer to sit at the intersection of Product Engineering and our Go-To-Market teams, embedded directly with partners and customers to ship integrations fast, acting as the primary technical owner for every integration in your portfolio.

You'll own the full integration lifecycle from qualification to handoff, working hands-on with technical and non-technical stakeholders on both sides. You'll write real code, shape the integration framework, and feed patterns back into the platform.

In this role, you will:

• Own the full integration lifecycle for partners and customers who need hands-on delivery support, qualification, scoping, build, and handoff
• Run Phase 0 qualification assessments — mapping systems, data flows, risk surface, and build approach before committing to timelines
• Build and configure integration connectors, data mappings, and partner adapters using Clara's integration framework and shared libraries
• Coordinate directly with partner technical teams throughout the build, acting as the primary technical point of contact
• Partner with Platform/API squads to leverage core primitives (webhooks, auth patterns, event contracts) and flag reuse opportunities
• Ensure every integration meets Clara's standards: idempotency, observability, secrets management, data minimization, and sandbox testing
• Drive clean handoffs — delivering runbooks, dashboards, on-call assignments, and support playbooks before marking an integration as done
• Feed learnings back into the platform: identify patterns that should become shared libraries or configuration

Who you are

We're looking for someone who meets the minimum requirements to be considered for the role.

Must haves:

• Experience working directly with external partners or customers in a technical capacity, you're comfortable owning the relationship, not just the code
• Working directly with end customers
• Designing the solution from scratch to meet customer needs
• Great communication skills
• 4+ years of backend software development experience, with hands-on exposure to API integrations, webhooks, and data mapping
• Deep fluency in integration patterns: REST, event-driven architectures, OAuth/token management, idempotency
• Ability to move fast in ambiguous environments: qualify a new integration request, scope it, and start building within days
• Strong proficiency in one or more backend languages (preferably Java) and comfort working across multiple systems and tech stacks
• Working knowledge of observability fundamentals: logs, metrics, tracing, alerting, and SLOs
• You use AI tools as a force multiplier, from scaffolding connectors to automating repetitive mapping work
• Working proficiency in English and Spanish, or English and Portuguese
• Excellent communication skills with both technical and non-technical audiences
• Exposure to integration platforms or connector frameworks (e.g. N8N, Zapier, or custom-built equivalents)

Nice to haves:

• Experience in fintech, payments, or financial data infrastructure
• Familiarity with PCI/PII data handling and compliance requirements
• Experience with AWS, Kafka, or event streaming platforms
• Proficiency in all three languages (Portuguese, Spanish, and English) is a strong plus
• A good sense of humor

Staff PRODUCT ENGINEER (Contract)

Build it. Ship it. Own it.

Location: Argentina, Brazil, Colombia, Chile, Mexico, Dominican Republic, Peru

About Counterpart

Counterpart is an insurtech platform reimagining management and professional liability for the modern workplace. We believe that when businesses lead with clarity and confidence, they become more resilient, more innovative, and better prepared for what's ahead. That's why we built the first Agentic Insurance™ system — where advanced AI and deep insurance expertise come together to proactively assess, mitigate, and manage risk. Backed by A-rated carriers and trusted by brokers nationwide, our platform helps small businesses grow with confidence. Join us in shaping a smarter future, helping businesses Do More With Less Risk®.

The Role

As a Product Engineer at Counterpart, you own problems and drive outcomes. You iron out requirements with stakeholders, partners, and customers. You leverage AI for implementation. You verify the end-to-end result. You iterate until you move the needle.

You run projects with other Product Engineers and AI agents. You know when to delegate to a human, when to delegate to an agent, and when to do it yourself. 

YOU WILL

Own the Problem

• Take accountability for the outcome. 
• Talk directly to your users, stakeholders, and peers to discover the problem. 
• Translate business intents into functional requirements that engineers and agents can build against. Determine where human judgment is non-negotiable and where AI can augment or act autonomously. 
• Own the non-functional technical requirements. Specify the quality bar: performance, scalability, reliability, security, maintainability.

Build with AI

• Write production-quality code across the stack: Python, Django, AWS, React, and PostgreSQL. You are not afraid of any layer.
• Direct agents and review their output with domain depth. Catch what they miss across the functional and non-functional bar: correctness, edge cases, performance, security, testability, readability.
• Evaluate and improve agent output regularly. Track failure modes. Refine the prompts and patterns that lift the quality ceiling over time.
• Run projects that span other Product Engineers and agents. Coordinate work, manage dependencies, and keep things moving without micromanaging.
• Contribute to architectural decisions. Bring options and alternatives, not objections. Know when the elegant solution is the wrong call for a startup moving fast.
• Contribute to and manage the context harness as you build and deliver.

Verify and Iterate

• Surface delivery risks early. Bring solutions, not just problems. Keep your stakeholders informed without turning every risk into a meeting.
• Verify the end-to-end result yourself. Confirm the system does what the requirements say, and that the requirements were right.
• Drive adoption of what you ship. Documentation, enablement, and usage monitoring are part of the job.
• Monitor your services in production. Own the signal. Debug and fix what breaks.
• Participate in support rotations. When users run into issues with what you shipped, you investigate and fix them.
• Iterate until you move the needle. Shipping is not the finish line. Outcome is.

Raise the Bar

• Mentor engineers around you. Give direct, useful feedback. Leave things better than you found them.
• Make deliberate calls on technical debt: when to accumulate it, when to pay it down, when to refactor. Translate trade-offs into language that business leaders can act on.
• Operate to the engineering standards for quality, reliability, and operational excellence.

YOU HAVE

• 10+ years building production web applications across the full stack. The years are the floor, not the bar. What matters is whether you have actually done this: owned a problem end-to-end, written the spec, built the thing, coordinated the work, and shipped it without someone else holding the thread.
• Demonstrated experience gathering requirements directly. You have interviewed users, customers, and partner teams, and turned ambiguous intent into specs that engineers and agents can build against.
• Demonstrated experience owning both functional and non-functional requirements. You have defined what a system must do and held the line on how well it must do it.
• A track record of owning a domain or initiative without close supervision. You have navigated ambiguity, made judgment calls, and been accountable for the outcome.
• Extreme ownership and a bias for action. You do not sit and wait. You chase stakeholders, customers, and answers when you need them.
• Experience coordinating across engineers and AI agents on a shared initiative. You have managed the work without holding a formal management title.
• Strong technical judgment and the depth to catch what AI-generated code gets wrong: not syntax, but correctness, architecture, intent.
• Proficiency with Python and Django. Working knowledge of TypeScript, React, and PostgreSQL.
• Proficiency in developing with AI tools (Claude Code, Cursor, OpenAI Codex, similar) and the drive to stay ahead of how AI development practices are evolving.
• Domain curiosity. You learn the business context your work supports, not just the systems. You understand why the problem matters, not just how to solve it.
• The ability to communicate clearly across engineering, product, and business, translating technical complexity without losing meaning.
• Low ego and high Emotional Quotient (EQ). You influence without authority, take feedback well, and leave your ego out of technical decisions.
• Experience working with distributed, remote teams.

HOW THIS ROLE WORKS

Product Engineering exists to collapse the distance between a problem and a working solution. You own a problem or part of a vision. You shape it with stakeholders. You build it with AI. You verify it end-to-end. You iterate until the metric moves.

You work within the Context Architecture, a shared system of documentation, design patterns, and domain knowledge that gives you the technical context to make autonomous decisions at every step.

This is not a role for engineers who need to be told how. It is a role for engineers who can take a problem, fill in the gaps with good judgment, and ship something that works.

WHO YOU WILL WORK WITH

• Derrick Franco, Principal Engineer: After teaching himself to code at 13, Derrick went on to co-found Jumpstart in addition to building out the technical divisions at InvestorsAlley and Phinaz Media Group. Nowadays Derrick spends his time reading, with his wife, and working on his podcast The Future of Work Project.
• Julian Prokay, Principal Engineer: A veteran of the SaaS space with experience working on both student systems and construction management software. In his free time, he enjoys history podcasts and fantasy literature.
• Tony Nguyen, Engineering Manager: Tony is an engineering and platform leader with 25+ years of leadership experience at companies like Sony PlayStation Network, Intuit TurboTax, and ServiceNow. He thrives at building products, scaling teams, and leading organizations, but more so building people. He believes the best leadership and engineering comes from bringing your full identity to work. For him that's faith, family, and sports! Outside of work, you can catch him on the couch with his 3 adult children watching anime, going to Disneyland, or having game nights.
• Ron Alexessen, Engineering Manager: With experience at Hewlett-Packard, New Relic, Rackspace, and consulting agencies, Ron has built teams and shaped technical culture across different environments. He's passionate about AI-enabled development as a force multiplier and building solutions that create real business impact. Outside work, he boulders, runs, rides gravel bikes, and co-parents active teenagers, embracing structured chaos in all of it.
• Newton Truong, Engineering Manager: Newton joins Counterpart with 7+ years of experience in platform and data engineering. In his last company Thrive Market, he had a hand in building out new microservices and architecting data pipelines with Airflow and Spark. He's vegetarian and loves trying new restaurants when traveling. Nowadays he's busy keeping up with his 2-year-old and doing outdoor activities with his family.
• John Mendez, Engineering Manager: John has experience working at companies of all sizes. He enjoys startups and small-to-medium businesses, where he can wear multiple hats and help deliver solutions. Outside of work, he stays busy with his four kids and their activities. He also makes time to stay active by working out at home and running or walking with his dog.

COUNTERPART'S VALUES

• Conjoin Expectations - it is the cornerstone of autonomy. Ensure you are aware of what is expected of you and clearly articulate what you expect of others.
• Speak Boldly & Honestly - the only failure is not learning from mistakes. Don't cheat yourself and your colleagues of the feedback needed when expectations aren't being met.
• Be Entrepreneurial - control your own destiny. Embrace action over perfection while navigating any obstacles that stand in the way of your ultimate goal. Leverage AI ruthlessly. We measure success by outcomes, not lines of code written. Use every available AI tool to ship faster and think more strategically.
• Practice Omotenashi ("selfless hospitality") - trust will follow. Consider every interaction with internal and external partners an opportunity to develop trust by going above and beyond what is expected.
• Hold Nothing As Sacred - create routines but modify them routinely. Take the time to reflect on where the business is today, where it needs to go, and what you have to change in order to get there.
• Prioritize Wellness - some things should never be sacrificed. We create an environment that stretches everyone to grow and improve, which is fulfilling, but is only one part of a meaningful life.

WE OFFER

1. Work from Anywhere - Counterpart is a fully distributed company, meaning there is no office. We allow employees to work from wherever they do their best work, of course prioritizing meetings that often happen in US time zones.
2. Language Classes - We sponsor up to $100 per calendar year to be used towards language classes to help support your English language skills.
3. Paid Vacation and Time Off
4. Parental Leave - Development Partners will be eligible for unpaid Parental Leave to bond with a newborn, newly-adopted, or newly placed child. Under this policy, development partners and independent contractors will be eligible for up to 8 weeks of unpaid parental leave. Any time off will be subject to approval and must be requested at least 45 days in advance.
5. Computer - We reimburse you for your locally procured MacBook Pro. If you are still with the company after one year, it is yours to keep!

Our estimated pay range for this role is USD $90,000 - $110,000 annually. Contractor compensation is determined by a variety of factors, including but not limited to, market data, location, internal equitability, and experience.

We are committed to being a welcoming and inclusive workplace for everyone, and we are intentional about making sure people feel respected, supported and connected at work, regardless of who you are or where you come from. We value and celebrate our differences and we believe being open about who we are allows us to do the best work of our lives.

We are an Equal Opportunity Employer. We do not discriminate against qualified applicants or employees on the basis of race, color, religion, gender identity, sex, sexual preference, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by federal, state, or local law, rule, or regulation.

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.

Como Sr. Staff Engineer, você atuará no Studio, a plataforma estratégica da Blip que viabiliza a construção e operação de experiências conversacionais em escala global, potencializadas por IA. O Studio é um pilar central da companhia, conectando produto e engenharia para entregar soluções inteligentes, escaláveis e resilientes para milhares de clientes.

Você contribuirá para a evolução arquitetural da plataforma, definindo padrões técnicos, abstrações consistentes e integrações robustas que sustentam diferentes mercados e clusters internacionais. O contexto envolve a incorporação estratégica de capacidades de IA, garantindo escalabilidade, governança e excelência operacional. Buscamos um perfil com visão sistêmica, profundidade técnica e influência estratégica, motivado por desafios de escala, internacionalização e construção de plataformas inteligentes com impacto direto no negócio.

Responsabilidades

• Desenvolver features e melhorias no produto Blip de forma segura, bem testada e performática
• Conduzir a visão e estratégia técnica entre vários departamentos
• Liderar decisões arquiteturais que impactam múltiplas equipes e departamentos
• Defender melhorias na qualidade do produto, segurança e performance em nível organizacional
• Resolver problemas técnicos de maior escopo e complexidade entre departamentos
• Impulsionar inovação e excelência técnica em toda a organização
• Definir e estabelecer padrões técnicos e melhores práticas em toda a empresa
• Identificar e resolver dívidas técnicas sistêmicas que afetam múltiplos departamentos
• Liderar iniciativas de proof-of-concept para avaliação de tecnologias estratégicas
• Representar a Blip e seus valores em comunicações públicas e fóruns técnicos
• Fornecer mentoria técnica para Staff Engineers e líderes técnicos
• Liderar iniciativas técnicas de larga escala envolvendo múltiplos departamentos
• Orientar o alinhamento da estratégia técnica com objetivos de negócio
• Desenvolver e liderar programas de treinamento interno
• Impulsionar a adoção de tecnologias emergentes e melhores práticas
• Estabelecer frameworks de governança técnica
• Liderar estratégias de resposta e prevenção a incidentes críticos
• Orientar estratégias de contratação e padrões de avaliação técnica
• Participar da rotação do plantão para questões críticas em produção
• Promover colaboração técnica entre departamentos
• Se necessário, atuar como Tech Lead para o squad ou outros projetos estratégicos, promovendo a excelência técnica e garantindo altos padrões de qualidade das entregas

As Senior Staff Backend Software Engineer

Requisitos

• 8+ anos de experiência como Software Engineer/Staff, sendo pelo menos 2 em posição de liderança (como Engineering Manager ou Staff+ Engineer)
• Experiência profissional significativa com C# ou linguagem requerida pela especialidade
• Sólida experiência com ferramentas de automação de testes (ex: MSTest, JUnit, NUnit, XUnit, Specflow, etc)
• Sólido entendimento de conceitos web e browser (ex: como o browser faz requisições ao backend)
• Experiência com ferramentas de observabilidade como Grafana, Prometheus e ferramentas APM
• Sólida experiência usando ferramentas de CI/CD para gerenciar o ciclo de desenvolvimento
• Experiência em liderar e estabelecer processos de governança de arquitetura
• Experiência em definir e liderar processos de RFC/ADR entre departamentos
• Sucesso comprovado em liderar múltiplas equipes através de desafios técnicos complexos
• Experiência com arquitetura de sistemas distribuídos em larga escala
• Expertise em otimização de performance e escalabilidade
• Histórico sólido de liderança técnica entre departamentos
• Experiência em definir estratégia técnica alinhada com objetivos de negócio
• Profundo conhecimento em design e arquitetura de sistemas
• Experiência em mentorar líderes técnicos e staff engineers
• Capacidade comprovada de influenciar decisões técnicas em nível organizacional
• Fortes habilidades de comunicação executiva
• Experiência em trabalhar com stakeholders de diferentes departamentos
• Capacidade demonstrada de conduzir mudanças organizacionais
• Compartilhar nossos valores e trabalhar de acordo com eles
• Capacidade de prosperar em uma organização remota
• Experiência prévia trabalhando com cloud providers (ex: Google, AWS, Azure, etc)
• Expertise em Kubernetes
• Entregar POCs para identificar rapidamente direção e gaps em arquiteturas propostas
• Conhecimento de princípios de design de software (SOLID, Clean Code, DRY, metodologia Twelve-Factor, etc)
• Experiência com metodologias de desenvolvimento (Pair Programming, TDD, práticas de Code Review, etc)
• Proficiência no idioma português, tanto escrito quanto verbal
• Proficiência no idioma inglês, tanto escrito quanto verbal

Diferenciais

• Experiência prévia na construção de stack de observabilidade com diferentes tecnologias
• Experiência em liderar comitês de arquitetura em organizações enterprise
• Experiência em implementar architecture review boards
• Experiência em liderar transformações técnicas em organizações
• Experiência em empresas de software enterprise
• Histórico de palestras em conferências técnicas
• Experiência em construir frameworks de governança técnica
• Formação em ciência da computação ou experiência equivalente
• Experiência com ferramentas de diagramação para criar diagramas de arquitetura
• Experiência em implementar práticas de segurança em toda a organização
• Experiência com arquiteturas multi-region e alta disponibilidade
• Histórico de migrações bem-sucedidas em larga escala
• Experiência em construir e liderar centros de excelência
• Manutenção de projetos open source
• Experiência com avaliação e mitigação de riscos técnicos
• Proficiência em utilizar ferramentas baseadas em IA para melhorar a qualidade do trabalho
• Experiência com desenvolvimento de estratégia técnica
• Experiência com due diligence técnica
• Registro de publicações técnicas ou patentes

Informações adicionais

Important Information 

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

Job Summary

We are looking for a highly skilled DevOps Tools Support Engineer to administer, support, and enhance our internal engineering platforms—Atlassian Jira, Atlassian Confluence, GitLab, Perforce and Code Collaborator. The ideal candidate will ensure these systems are secure, stable, scalable, and well‑integrated across the enterprise, while providing technical support to development, QA, and IT teams.

Responsibilities and Duties

• Administer and maintain Jira Software Management, including workflows, schemes, custom fields, dashboards, and automations;
• Manage Confluence spaces, permissions, templates, macros, and indexing;
• Configure and maintain GitLab projects, groups, runners, CI/CD pipelines, branch protection rules, and access policies;
• Support and administer Perforce, including depots, streams, protections, checkpoints, replicas, and storage optimization;
• Manage Code Collaborator review workflows, SCM integrations, and user access;
• Provide support for all platforms; resolve complex issues related to authentication, permissions, workflows, pipelines, or repository performance;
• Handle incident response, root cause analysis (RCA), and preventive actions;
• Coordinate with vendors (Atlassian, GitLab, Perforce, SmartBear) for escalations when required;
• Enforce SSO access control, and audit logging across all tools. Manage SSL/TLS certificates, keystores, and renewal cycles;
• Ensure adherence to organizational security and compliance standards;
• Plan, execute, and document version upgrades, backup/restore tests, and system migrations;
• Conduct post‑upgrade validation, performance checks, and regression testing;
• Maintain high availability, reliability, and performance tuning for all services;
• Maintain system architecture diagrams, runbooks, SOPs, and knowledge base articles;
• Define governance standards for project structure, branching models, permissions, and naming conventions;
• Educate teams on best practices and tool usage.

Essential Skills

• Experience supporting or administering DevOps/ALM platforms;
• Strong hands‑on experience with at least four tools from Jira, Confluence, GitLab, Perforce, Code Collaborator;
• Proficiency in Linux administration, shell scripting, and basic networking (TLS, proxies, firewalls);
• Working knowledge of PostgreSQL/MySQL (queries, backups, connection tuning);
• Familiarity with CI/CD concepts, SCM workflows, and DevOps pipelines.

Highly Desirable Skills

• Knowledge of GitLab runner autoscaling or Kubernetes‑based runners;
• Perforce proxy/broker configuration and large‑binary workflow optimization;
• Exposure to compliance frameworks (SOC2, ISO27001, ITGC);
• Experience migrating from legacy tools (e.g., Code Collaborator → modern review platforms).

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: Bolivia

Work Mode: Hybrid 

Job Summary 

As a Mid DevOps Tools Engineer (141801671), you will be responsible for designing, developing, and maintaining high-quality software solutions. You will collaborate with cross-functional teams to understand business requirements and translate them into scalable and efficient software applications. Your role will involve leading technical projects, mentoring junior engineers, and continuously improving software development practices to ensure the delivery of robust and reliable software systems.  

Responsibilities and Duties 

• Administer, maintain, and optimize DevOps and ALM tools such as Jira, Confluence, GitLab, Perforce, and Code Collaborator
• Provide technical support, troubleshoot complex issues, and perform root cause analysis across development and CI/CD platforms
• Manage system configurations, upgrades, backups, security controls, and ensure high availability and performance
• Define governance standards and collaborate with teams to improve workflows, integrations, and DevOps best practices

Qualifications and Skills 

• Bachelor’s degree in Computer Science, Information Technology, or a related field, or equivalent practical experience
• 3–5 years of experience supporting or administering DevOps or ALM tools
• Hands-on experience with tools such as Jira, Confluence, GitLab, Perforce, or similar platforms
• Strong knowledge of Linux administration and shell scripting
• Working knowledge of databases such as PostgreSQL or MySQL including queries and backups
• Familiarity with CI/CD pipelines, source control management, and DevOps practices
• Understanding of networking concepts such as TLS, proxies, and firewalls
• Experience managing user access, permissions, and security configurations
• Strong problem-solving and troubleshooting skills in complex environments
• Good communication and collaboration skills to support cross-functional teams

About Encora 
 
Encora is a global company that offers Software and Digital Engineering solutions. Our practices include Cloud Services, Product Engineering & Application Modernization, Data & Analytics, Digital Experience & Design Services, DevSecOps, Cybersecurity, Quality Engineering, AI & LLM Engineering, among others.  

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

Important Information 

Location: Costa Rica

Work Mode: Hybrid 

Job Summary 

As a Mid DevOps Tools Engineer (141801671), you will be responsible for designing, developing, and maintaining high-quality software solutions. You will collaborate with cross-functional teams to understand business requirements and translate them into scalable and efficient software applications. Your role will involve leading technical projects, mentoring junior engineers, and continuously improving software development practices to ensure the delivery of robust and reliable software systems.  

Responsibilities and Duties 

• Administer, maintain, and optimize DevOps and ALM tools such as Jira, Confluence, GitLab, Perforce, and Code Collaborator
• Provide technical support, troubleshoot complex issues, and perform root cause analysis across development and CI/CD platforms
• Manage system configurations, upgrades, backups, security controls, and ensure high availability and performance
• Define governance standards and collaborate with teams to improve workflows, integrations, and DevOps best practices

Qualifications and Skills 

• Bachelor’s degree in Computer Science, Information Technology, or a related field, or equivalent practical experience
• 3–5 years of experience supporting or administering DevOps or ALM tools
• Hands-on experience with tools such as Jira, Confluence, GitLab, Perforce, or similar platforms
• Strong knowledge of Linux administration and shell scripting
• Working knowledge of databases such as PostgreSQL or MySQL including queries and backups
• Familiarity with CI/CD pipelines, source control management, and DevOps practices
• Understanding of networking concepts such as TLS, proxies, and firewalls
• Experience managing user access, permissions, and security configurations
• Strong problem-solving and troubleshooting skills in complex environments
• Good communication and collaboration skills to support cross-functional teams

About Encora 
 
Encora is a global company that offers Software and Digital Engineering solutions. Our practices include Cloud Services, Product Engineering & Application Modernization, Data & Analytics, Digital Experience & Design Services, DevSecOps, Cybersecurity, Quality Engineering, AI & LLM Engineering, among others.  

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

Important Information 

Location: Colombia

Work Mode: Hybrid 

Job Summary 

As a Mid DevOps Tools Engineer (141801671), you will be responsible for designing, developing, and maintaining high-quality software solutions. You will collaborate with cross-functional teams to understand business requirements and translate them into scalable and efficient software applications. Your role will involve leading technical projects, mentoring junior engineers, and continuously improving software development practices to ensure the delivery of robust and reliable software systems.  

Responsibilities and Duties 

• Administer, maintain, and optimize DevOps and ALM tools such as Jira, Confluence, GitLab, Perforce, and Code Collaborator
• Provide technical support, troubleshoot complex issues, and perform root cause analysis across development and CI/CD platforms
• Manage system configurations, upgrades, backups, security controls, and ensure high availability and performance
• Define governance standards and collaborate with teams to improve workflows, integrations, and DevOps best practices

Qualifications and Skills 

• Bachelor’s degree in Computer Science, Information Technology, or a related field, or equivalent practical experience
• 3–5 years of experience supporting or administering DevOps or ALM tools
• Hands-on experience with tools such as Jira, Confluence, GitLab, Perforce, or similar platforms
• Strong knowledge of Linux administration and shell scripting
• Working knowledge of databases such as PostgreSQL or MySQL including queries and backups
• Familiarity with CI/CD pipelines, source control management, and DevOps practices
• Understanding of networking concepts such as TLS, proxies, and firewalls
• Experience managing user access, permissions, and security configurations
• Strong problem-solving and troubleshooting skills in complex environments
• Good communication and collaboration skills to support cross-functional teams

About Encora 
 
Encora is a global company that offers Software and Digital Engineering solutions. Our practices include Cloud Services, Product Engineering & Application Modernization, Data & Analytics, Digital Experience & Design Services, DevSecOps, Cybersecurity, Quality Engineering, AI & LLM Engineering, among others.  

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

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

As a key member of the Quality Assurance team, you will be responsible for ensuring the reliability, performance, and security of our software products. You will design, develop, and execute comprehensive test plans that allow our development teams to ship high-quality code with confidence and speed.

Key Responsibilities

• Quality Strategy: Develop and implement robust test strategies and test cases for new and existing features.
• Test Automation: Design, write, and maintain automated test scripts (UI and API) to increase testing efficiency and coverage.
• Agile Collaboration: Participate in Agile ceremonies (Sprint Planning, Stand-ups, Retrospectives) to provide "QA perspective" from the start of the development cycle.
• Defect Management: Identify, document, and track software defects to resolution using bug-tracking tools (e.g., Jira).
• Cross-Functional Communication: Communicate effectively with developers, product owners, and stakeholders to clarify requirements and report on software health.
• CI/CD Integration: Integrate automated tests into CI/CD pipelines to ensure continuous quality and rapid feedback loops.
• Root Cause Analysis: Perform thorough regression testing and root cause analysis when bugs are identified in production.
• Continuous Improvement: Proactively suggest improvements to the development process to prevent defects before they occur.
• Soft Skills: Demonstrate a detail-oriented mindset, professional curiosity, and a "quality-first" attitude.

Requirements

• Experience: Proven experience in Software Quality Assurance (Manual and Automated testing).
• Language: English proficiency is mandatory.
• Programming Skills: Proficiency in at least one programming language (e.g., Java, Python, or JavaScript) for automation purposes.
• Testing Frameworks: Hands-on experience with automation tools such as Selenium, Cypress, Playwright, or Appium.
• API Testing: Experience testing RESTful APIs using tools like Postman, SoapUI, or RestAssured.
• Databases: Basic to intermediate knowledge of SQL for data validation and backend testing.
• Version Control: Proficiency in Git and/or BitBucket.
• Documentation: Excellent skills in writing clear, concise, and comprehensive test plans and bug reports.

Preferred Qualifications (Pluses)

• Experience with Performance/Load Testing (e.g., JMeter, Locust).
• Knowledge of Security/Penetration Testing principles.
• Experience with Cloud Infrastructure (AWS, Azure, or GCP).
• Familiarity with Docker and Kubernetes for managing test environments.

LI-DC1

AE Studio is a development, data science, and design studio that works closely with founders and executives to create custom software and machine learning solutions.

We build products, platforms, and internal ventures that increase agency for all conscious beings. We combine world-class software engineering, AI expertise, and product design to ship ambitious projects that matter.

We’re looking for a Full-Stack Developer who bridges modern web engineering with practical AI; someone who can design, build, and ship production-ready, AI-powered applications while maintaining the standards of a top-tier software developer.

What You’ll Do

• Design and ship end-to-end applications from prototype to production across frontend, backend, and cloud.
• Build clean, scalable APIs and services and integrate AI models where they create real value.
• Create AI pipelines (data ingestion, preprocessing, embeddings, retrieval, orchestration) that are reliable and maintainable.
• Engineer prompting strategies and guardrails for real-world performance (latency, cost, accuracy), not just demo hype.
• Integrate AI features into full-stack apps with robust APIs, frontend UX, and CI/CD pipelines.
• Collaborate with designers, PMs, and engineers to deliver polished product experiences.
• Continuously evaluate new AI tools/models for performance, cost, and fit.
• Write production-grade, testable, maintainable code in TypeScript/JavaScript and Python (and other languages as needed).
  
  

What We’re Looking For

• 7+ years of professional software engineering experience.
• Proven track record shipping production applications (links to live products welcome).
• Hands-on experience with LLM APIs (e.g., OpenAI, Anthropic), embeddings, vector databases, and orchestration frameworks.
• Strong command of modern web stacks (e.g., React/Next.js, Node.js/Nest/Fastify, Python/FastAPI) and cloud infrastructure.
• Solid grasp of architecture, scalability, performance, and security.
• A bias toward shipping with best practices (testing, code reviews, monitoring/observability).
• Clear communication, self-management, and comfort in a collaborative remote environment.
• Comfortable picking up new languages and frameworks, leveraging modern AI dev tools to move faster.
  
  

What Sets You Apart

• Experience fine-tuning models or training custom models on domain-specific data.
• Contributions to open-source AI or developer tooling.
• Mature approach to prompt engineering and evaluation (beyond trial-and-error).
• Background in data engineering or MLOps.
• Passion for AI alignment, agency-increasing technologies, and ethical AI development.
  
  

If you can write prompts that work today and code that still works in two years, we want to talk to you.

Salary range from $115k/year to $185k/year (if you're based in LA). Not in the range? That's fine, you can still apply and our team may fit you in a more senior position that we're not actively hiring for right now, since we are growing fast and may have other openings soon.

EQUITY

Working at AE means receiving equity in our client projects and in Skunkworks ventures. The equity is priced at $0 when granted for tax reasons, but AE invests millions into these projects. Equity comes from reduced margins on client work and internal funding. You get a real stake in the things you help build.

The longer you stay, the more value you create and the more equity you receive. If you leave on good terms, you can retain 20% of your equity by staying engaged. If you spin out a Skunkworks venture, you retain 100%.

Job responsibilities

Job qualifications

Other things to know

About Thoughtworks

#LI-Onsite

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 

#LI-KG1 #LI-REMOTE

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.

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 an Intermediate Frontend Engineer, you will be working across the entire Brex stack, creating and maintaining new products, features, and building tools to help scale Brex. You will have the opportunity to learn and push the frontier of providing the best financial software experience to help companies grow. You’ll be encouraged to be metric and data-driven and to think creatively to help Brex scale and get prepared for the new markets we are about to enter. We’re looking for folks with not only an interest in building products and tools but also interested in leading multi-functional projects with lots of moving pieces. In this role, you’ll have the opportunity to drive direct business impact and shape our long-term technical vision with a high-quality bar.

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 two coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work! 

Responsibilities

• Work with engineers across the company to build new features and products.
• Work side-by-side with user facing teams (Sales, Support) to best understand the needs of our customers. 
• Design and implement experiments to improve our customer’s experiences.
• Own problems end-to-end, thinking through everything from user experience, data models, scalability, operability and ongoing metrics.
• Tune and polish features to a high-degree of excellence.

Requirements

• Experience architecting, developing, and testing client-side code end to end
• Experience developing software for the Web platform, including cross-browser compatibility
• Experience with modern tools like ES6+, React, GraphQL, & Webpack
• Uphold our high engineering standards
• Strong communication and interpersonal skills.

Bonus points

• Experience collaborating with specialists in product, design, and operations
• Experience with developing in React Native for mobile
• Basic experience with design tools
• Great writing skills
• Proactive approach.

About the Role

CharterUP is seeking a Senior Software Engineer – Backend to design, build, and operate the APIs and backend systems that power our mobile experience for a two-sided marketplace. This role will work closely with our Brazil-based mobile team, as well as U.S.-based engineering, product, and design partners, to deliver reliable, scalable services that enable high-quality user experiences. You’ll focus on backend service development, API design, and system reliability, helping ensure our mobile applications are fast, resilient, and able to scale with our growing business.

Title: Senior Software Engineer - Backend

Reports to: Engineering Manager

Location: Brazil (Remote)

What You’ll Do

• Design, build, and operate scalable backend services and APIs for mobile applications, using modern and AI-assisted development practices
• Partner with mobile engineers to define API contracts and deliver seamless, high-performance user experiences
• Own service reliability, scalability, and performance, including deployment, monitoring, and optimization in AWS
• Drive backend best practices across testing, observability, and operational efficiency, leveraging AI-driven tooling where appropriate
• Collaborate cross-functionally to deliver high-impact features and identify opportunities to improve systems and workflows through AI

What You’ll Bring

• 4+ years of experience as a backend or full-stack engineer with a strong backend focus
• Proficiency in JVM-based languages (Java, Kotlin, etc.) and experience building scalable RESTful APIs
• Solid understanding of distributed systems, API design, and backend performance optimization
• Experience with cloud infrastructure (preferably AWS) and modern deployment practices, with exposure to AI-assisted tools for development, monitoring, or automation
• Strong ownership mindset and collaboration skills, with experience working closely with mobile or frontend teams in cross-functional environments
• Familiarity with the Backend-for-Frontend (BFF) pattern, including designing and maintaining mobile-optimized APIs that aggregate and tailor data for specific client use cases, improving performance and reducing client complexity

Recruiting Process

• Step 1 - Video call: Talent Acquisition interview
• Step 2 - Video call: Live Coding interview
• Step 3 - Video call: Team interviews
• Step 4 - Offer & reference check
• Welcome aboard!

Compensation

• Estimated monthly rate: $6,000 – $7,000 USD

About the Team

DoorDash is building the world's most reliable on-demand, logistics engine for delivery! We're looking for experienced engineers to join our fast-growing engineering team to help us develop a 24x7, global infrastructure system that powers DoorDash's three-sided marketplace of consumers, merchants, and dashers.

And now, with our new São Paulo office, we offer an unique opportunity for fast tracking your career by experiencing an early venture and help DoorDash grow from a small team to one of the largest engineering hubs in the world.

About the Role

Our software engineers work at the intersection of product and infrastructure to solve key business problems with elegant technical solutions. You'll operate our backend services and architecture that support all product functionality and will be challenged to consider the big picture -- collaborating cross-functionally, as well as evaluating and executing on trade-offs to maximize business impact for the company.

You're excited about this opportunity because you will…

• Develop, release and run large-scale web applications
• Develop and define the backend architecture and tech stack for a product area
• Improve performance, reliability, scalability and security for our backend systems
• Be involved in transitioning our monolithic codebase to a microservice-based architecture
• Completely disrupt logistics by tackling bleeding-edge, technical problems

We're excited about you because you have… 

• B.S., M.S., or PhD. in Computer Science or equivalent
• 8+ years of industry experience
• Prior experience working with backend tech stacks
• Ability to analyze and improve efficiency, scalability, and stability of various system resources
• Experience with service oriented architecture, writing REST API's, unit testing, and architectural design
• Understanding of modern web stacks and architecture (HTTP, REST)
• Experience with SQL and NoSQL databases and other technologies (e.g. Postgres, Redis, Kafka, Spark, S3)

Nice To Haves

• Experience building large scale, real-time applications
• Experience with Java/Kotlin
• Contributor to open source projects

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

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

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

About the Team

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

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

DoorDash is building the world’s most reliable on-demand logistics platform. As part of our global expansion, we are investing heavily in Brazil and growing our engineering presence in São Paulo. This is a unique opportunity to join one of Silicon Valley’s fastest-growing companies—while staying close to home.

We’re looking for Software Engineers interns who are excited to solve real-world problems at scale. You’ll work on product teams or platform teams that power our three-sided marketplace of Consumers, Dashers, and Merchants. From improving restaurant discovery to optimizing delivery logistics, you’ll help shape the experience of millions of users.

You’ll work alongside experienced engineers, product managers, and designers—many based in the U.S.—so fluency in English and strong collaboration skills are essential.

About the Role

At DoorDash, our product engineers implement and operate technological solutions to improve the experiences of our Consumers, Dashers and Merchants. From creating beautiful, user-friendly flows to crafting scalable backend architectures, we strive to deliver reliant, performant technology that delights our customers. 

We believe interns are essential to our mission of attracting and retaining top talent. During our Software Engineer internship, interns are completely immersed in their teams and will have the opportunity to develop, maintain, and ship products. As an intern, you will directly impact our business by collaborating with your team to solve real problems for our customers.

The internship program will be hybrid with at least 1 day a week required to be in-person in our Sao Paulo office. You will be paired with a mentor to help you ramp up and get comfortable working at DoorDash!

You're excited about this opportunity because...

• Develop, maintain and ship technical elements with the support of your mentor, manager, and team members
• Act on feedback, coaching, and mentorship from your mentor and team members
• Actively learn about the elements to which you contribute
• Make a direct impact on our business by collaborating with your team to solve problems for our customers
• Participate in intern programming - Leadership Speaker series, social events – virtually and in-person

Here are some examples of past intern projects:

• Collection of Summer 2022 Intern Projects
• Summer 2022 Intern Projects Cont.

We’re excited about you because…

• You are pursuing a B.S Degree in Computer Science or equivalent. 
• You are available for a August 2026 start date
• You have experience working with databases (e.g., AWS, SQL, etc.) 
• You have a solid understanding of algorithms and data structures
• You have proficient experience working with at least 1 object-oriented programming language (e.g., Python, Java, Kotlin, etc.)
• You have experience writing clean code, working with version control, and doing unit testing.

Preferred but not required 

• Ability to analyze and improve efficiency, scalability, and stability of various systems
• Excited to develop, release and run large-scale web applications
• Experience with solutions for systems monitoring, live deployments, and continuous integration
• Experience with real-time technology problems
• Participation in project or research-based technical work, hackathons, technical conferences/organization, on-campus student organization leadership, technical teaching assistant roles, relevant extracurricular activities, or other technical experience.

About the Team

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

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

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

Medical documentation may be requested in accordance with applicable legislation.

DoorDash is building the world’s most reliable on-demand logistics platform. As part of our global expansion, we are investing heavily in Brazil and growing our engineering presence in São Paulo. This is a unique opportunity to join one of Silicon Valley’s fastest-growing companies—while staying close to home.

We’re looking for Software Engineers interns who are excited to solve real-world problems at scale. You’ll work on product teams or platform teams that power our three-sided marketplace of Consumers, Dashers, and Merchants. From improving restaurant discovery to optimizing delivery logistics, you’ll help shape the experience of millions of users.

You’ll work alongside experienced engineers, product managers, and designers—many based in the U.S.—so fluency in English and strong collaboration skills are essential.

About the Role

At DoorDash, our product engineers implement and operate technological solutions to improve the experiences of our Consumers, Dashers and Merchants. From creating beautiful, user-friendly flows to crafting scalable backend architectures, we strive to deliver reliant, performant technology that delights our customers. 

We believe interns are essential to our mission of attracting and retaining top talent. During our Software Engineer internship, interns are completely immersed in their teams and will have the opportunity to develop, maintain, and ship products. As an intern, you will directly impact our business by collaborating with your team to solve real problems for our customers.

The internship program will be hybrid with at least 1 day a week required to be in-person in our Sao Paulo office. You will be paired with a mentor to help you ramp up and get comfortable working at DoorDash!

You're excited about this opportunity because...

• Develop, maintain and ship technical elements with the support of your mentor, manager, and team members
• Act on feedback, coaching, and mentorship from your mentor and team members
• Actively learn about the elements to which you contribute
• Make a direct impact on our business by collaborating with your team to solve problems for our customers
• Participate in intern programming - Leadership Speaker series, social events – virtually and in-person

Here are some examples of past intern projects:

• Collection of Summer 2022 Intern Projects
• Summer 2022 Intern Projects Cont.

We’re excited about you because…

• You are pursuing a B.S Degree in Computer Science or equivalent. 
• You are available for a August 2026 start date
• You have experience working with databases (e.g., AWS, SQL, etc.) 
• You have a solid understanding of algorithms and data structures
• You have proficient experience working with at least 1 object-oriented programming language (e.g., Python, Java, Kotlin, etc.)
• You have experience writing clean code, working with version control, and doing unit testing.

Preferred but not required 

• Ability to analyze and improve efficiency, scalability, and stability of various systems
• Excited to develop, release and run large-scale web applications
• Experience with solutions for systems monitoring, live deployments, and continuous integration
• Experience with real-time technology problems
• Participation in project or research-based technical work, hackathons, technical conferences/organization, on-campus student organization leadership, technical teaching assistant roles, relevant extracurricular activities, or other technical experience.

About the Team

DoorDash is building the world’s most reliable on-demand logistics platform. As part of our global expansion, we are investing heavily in Brazil and growing our engineering presence in São Paulo. This is a unique opportunity to join one of Silicon Valley’s fastest-growing companies—while staying close to home.

We’re looking for Software Engineers interns who are excited to solve real-world problems at scale. You’ll work on product teams or platform teams that power our three-sided marketplace of Consumers, Dashers, and Merchants. From improving restaurant discovery to optimizing delivery logistics, you’ll help shape the experience of millions of users.

You’ll work alongside experienced engineers, product managers, and designers—many based in the U.S.—so fluency in English and strong collaboration skills are essential.

About the Role

At DoorDash, our product engineers implement and operate technological solutions to improve the experiences of our Consumers, Dashers and Merchants. From creating beautiful, user-friendly flows to crafting scalable backend architectures, we strive to deliver reliant, performant technology that delights our customers. 

We believe interns are essential to our mission of attracting and retaining top talent. During our Software Engineer internship, interns are completely immersed in their teams and will have the opportunity to develop, maintain, and ship products. As an intern, you will directly impact our business by collaborating with your team to solve real problems for our customers.

The internship program will be hybrid with at least 1 day a week required to be in-person in our Sao Paulo office. You will be paired with a mentor to help you ramp up and get comfortable working at DoorDash!

You're excited about this opportunity because...

• Develop, maintain and ship technical elements with the support of your mentor, manager, and team members
• Act on feedback, coaching, and mentorship from your mentor and team members
• Actively learn about the elements to which you contribute
• Make a direct impact on our business by collaborating with your team to solve problems for our customers
• Participate in intern programming - Leadership Speaker series, social events – virtually and in-person

Here are some examples of past intern projects:

• Collection of Summer 2022 Intern Projects
• Summer 2022 Intern Projects Cont.

We’re excited about you because…

• You are pursuing a B.S Degree in Computer Science or equivalent. 
• You are available for a August 2026 start date
• You have experience working with databases (e.g., AWS, SQL, etc.) 
• You have a solid understanding of algorithms and data structures
• You have proficient experience working with at least 1 object-oriented programming language (e.g., Python, Java, Kotlin, etc.)
• You have experience writing clean code, working with version control, and doing unit testing.

Preferred but not required 

• Ability to analyze and improve efficiency, scalability, and stability of various systems
• Excited to develop, release and run large-scale web applications
• Experience with solutions for systems monitoring, live deployments, and continuous integration
• Experience with real-time technology problems
• Participation in project or research-based technical work, hackathons, technical conferences/organization, on-campus student organization leadership, technical teaching assistant roles, relevant extracurricular activities, or other technical experience.

Engineering the future of logistics – from Brazil to the world

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

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

At DoorDash, we believe diverse teams build better products. This opportunity is designed to create greater equity in access to engineering roles and long-term career growth within our São Paulo engineering hub.

DoorDash is building the world’s most reliable on-demand logistics platform. As part of our global expansion, we are investing heavily in Brazil and growing our engineering presence in São Paulo. This is a unique opportunity to join one of Silicon Valley’s fastest-growing companies—while staying close to home.

We’re looking for Backend Engineers who are excited to solve real-world problems at scale. You’ll work on product teams or platform teams that power our three-sided marketplace of Consumers, Dashers, and Merchants. From improving restaurant discovery to optimizing delivery logistics, you’ll help shape the experience of millions of users.

You’ll work alongside experienced engineers, product managers, and designers—many based in the U.S.—so fluency in English and strong collaboration skills are essential.

What you’ll do

• Design, build, and maintain large-scale backend systems used by millions of users
• Contribute to our technical roadmap and define the architecture for key product areas
• Drive improvements in performance, scalability, reliability, and security
• Help transition parts of our monolithic codebase to a microservices architecture
• Collaborate with cross-functional teams across Brazil and the U.S.
• Work on high-impact features that directly improve the user experience for Dashers, Merchants, or Consumers

We’re excited about you because…

• You have 1+ years of experience with backend technologies and distributed systems
• You’re comfortable with modern web architecture (HTTP, REST APIs, grpc, microservices)
• You’ve worked with relational and non-relational databases
• You enjoy solving complex problems with elegant code and clear thinking
• You’re fluent in English and confident participating in meetings and code reviews in English
• You care about quality and write tests to ensure your code works as expected
• You take ownership and enjoy working with autonomy in a fast-paced environment

Nice to haves

• Experience working at a tech company with scale
• Familiarity with Java, Kotlin, or similar JVM languages
• Exposure to big data technologies or event-driven architecture
• Interest in mentorship or growing into a technical leadership role

Why join DoorDash Brazil?

• Work on a global product, with real impact on millions of people
• Be part of a fast-growing engineering hub in São Paulo
• Hybrid remote model with great office space in Av. Paulista
• English immersion and opportunities to grow your international career
• Contribute to a modern, scalable platform used across multiple countries
• Build the future of local commerce with a team that values ownership, humility, and getting 1% better every day
• Be part of a growing engineering organization committed to building inclusive teams and equitable opportunities

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

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

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

Engineering the future of logistics – from Brazil to the world

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

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

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

Medical documentation may be requested in accordance with applicable legislation.

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

We’re looking for Backend Engineers who are excited to solve real-world problems at scale. You’ll work on product teams or platform teams that power our three-sided marketplace of Consumers, Dashers, and Merchants. From improving restaurant discovery to optimizing delivery logistics, you’ll help shape the experience of millions of users.

You’ll work alongside experienced engineers, product managers, and designers—many based in the U.S.—so fluency in English and strong collaboration skills are essential.

What you’ll do

• Design, build, and maintain large-scale backend systems used by millions of users
• Contribute to our technical roadmap and define the architecture for key product areas
• Drive improvements in performance, scalability, reliability, and security
• Help transition parts of our monolithic codebase to a microservices architecture
• Collaborate with cross-functional teams across Brazil and the U.S.
• Work on high-impact features that directly improve the user experience for Dashers, Merchants, or Consumers

We’re excited about you because…

• You have 1+ years of experience with backend technologies and distributed systems
• You’re comfortable with modern web architecture (HTTP, REST APIs, grpc, microservices)
• You’ve worked with relational and non-relational databases
• You enjoy solving complex problems with elegant code and clear thinking
• You’re comfortable collaborating in English, including participating in meetings and code reviews. 
• You’re fluent in English and confident participating in meetings and code reviews in English
• You care about quality and write tests to ensure your code works as expected
• You take ownership and enjoy working with autonomy in a fast-paced environment

Nice to haves

• Experience working at a tech company with scale
• Familiarity with Java, Kotlin, or similar JVM languages
• Exposure to big data technologies or event-driven architecture
• Interest in mentorship or growing into a technical leadership role

Why join DoorDash Brazil?

• Work on a global product, with real impact on millions of people
• Be part of a fast-growing engineering hub in São Paulo
• Hybrid remote model with great office space in Av. Paulista
• English immersion and opportunities to grow your international career
• Contribute to a modern, scalable platform used across multiple countries
• Build the future of local commerce with a team that values ownership, humility, and getting 1% better every day
• Be part of a growing engineering organization committed to building inclusive teams and equitable opportunities

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

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

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

Help us build the future of logistics – from Brazil to the world

DoorDash is building the world’s most reliable on-demand logistics platform. As part of our global expansion, we are investing heavily in Brazil and growing our engineering presence in São Paulo. This is a unique opportunity to join one of Silicon Valley’s fastest-growing companies—while staying close to home.

We’re looking for Backend Engineers who are excited to solve real-world problems at scale. You’ll work on product teams or platform teams that power our three-sided marketplace of Consumers, Dashers, and Merchants. From improving restaurant discovery to optimizing delivery logistics, you’ll help shape the experience of millions of users.

You’ll work alongside experienced engineers, product managers, and designers—many based in the U.S.—so fluency in English and strong collaboration skills are essential.

What you’ll do

• Design, build, and maintain large-scale backend systems used by millions of users
• Contribute to our technical roadmap and define the architecture for key product areas
• Drive improvements in performance, scalability, reliability, and security
• Help transition parts of our monolithic codebase to a microservices architecture
• Collaborate with cross-functional teams across Brazil and the U.S.
• Work on high-impact features that directly improve the user experience for Dashers, Merchants, or Consumers

We’re excited about you because…

• You have experience with backend technologies and distributed systems
• You’re comfortable with modern web architecture (HTTP, REST APIs, grpc, microservices)
• You’ve worked with relational and non-relational databases
• You enjoy solving complex problems with elegant code and clear thinking
• You’re fluent in English and confident participating in meetings and code reviews in English
• You care about quality and write tests to ensure your code works as expected
• You take ownership and enjoy working with autonomy in a fast-paced environment

Nice to haves

• Experience working at a tech company with scale
• Familiarity with Java, Kotlin, or similar JVM languages
• Exposure to big data technologies or event-driven architecture
• Interest in mentorship or growing into a technical leadership role

Why join DoorDash Brazil?

• Work on a global product, with real impact on millions of people
• Be part of a fast-growing engineering hub in São Paulo
• Hybrid remote model with great office space in Av. Paulista
• English immersion and opportunities to grow your international career
• Contribute to a modern, scalable platform used across multiple countries
• Build the future of local commerce with a team that values ownership, humility, and getting 1% better every day
  
  

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

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

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

About the Team

At DoorDash, we’re on a mission to empower local economies — and that mission drives everything we do. What started as food delivery has evolved into a technology and logistics platform designed to help people access anything in their city, from meals to everyday essentials. We’re building the future of local commerce, and we’re looking for team members excited to be part of that journey.

Joining DoorDash means working in a fast-paced, dynamic environment where your ideas can shape products, impact millions of users, and help merchants, Dashers, and customers thrive. We value creativity, ownership, and continuous learning — and we’re committed to creating a workplace where everyone can grow their careers while making a real difference.

We also care deeply about our team’s well-being. DoorDash offers comprehensive benefits, including premium healthcare, paid parental leave, wellness reimbursements, and more — because we believe that when our people thrive, our communities thrive too.

About the Role

You will lead a team of backend engineers responsible for the design and evolution of DoorDash’s Resolution Center platform. Your focus will be on building and scaling the systems that power Credits and Refunds, operational interventions, and resolution workflows across self-help, chatbot, voicebot, and agent-assisted channels.

You will partner closely with Product, Machine Learning, Fraud, Data Science, and Strategy & Operations to define and deliver a roadmap that integrates ML-driven decisions, workflow orchestration, and strong configuration safeguards into high-volume production systems. This platform directly influences cost, fraud exposure, and customer trust. You will own the technical direction and operational excellence required to run it at scale.

You're excited about this opportunity because you will…

• Lead and grow a high-performing team of backend engineers focused on Credits & Refunds, operational resolution workflows, and policy configuration systems.
• Own the migration of resolution workflows to the unified stack, ensuring data continuity, reliability, and zero regression in production systems.
• Partner with Machine Learning teams to productionize AI-driven C&R models and integrate them safely into high-volume workflows.
• Shape the long-term architecture of a decision engine that balances personalization, fraud prevention, and business guardrails.
• Improve configuration safety by implementing validation tooling, staged rollouts, and guardrails to reduce operational risk.
• Mentor engineers in distributed systems design, experimentation frameworks, and platform excellence.
• Foster a culture of ownership, velocity, and strong cross-functional collaboration.
• Partner with Recruiting to build a diverse, inclusive, and high-caliber engineering team.

We're excited about you because you have… 

• BS, M.S., or PhD. in Computer Science or related field
• 2+ years of experience in people management, leading eading backend/platform teams of 5+ engineers
• 7+ years of industry experience
• Experience working with remote teams in different time zone(s) and fluency in English
• Extensive experience as an engineer in a fast-paced, product-focused development environment
• Experience with distributed system design, system scaling, and performance optimization
• Hands-on leadership and strong product intuition
• Humility - willing to get into the details and open to feedback
• Growth mindset - you're eager to expand your skill set and excited to carve out your career path in a hyper-growth setting
• Adaptability, resiliency, and ability to thrive in ambiguity - things can change quickly, and you'll need to help the team evolve

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

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

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

About DoorDash

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

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

At DoorDash, we believe diverse teams build better products. This opportunity is designed to create greater equity in access to engineering roles and long-term career growth within our São Paulo engineering hub.

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

At DoorDash, we’re on a mission to empower local economies — and that mission drives everything we do. What started as food delivery has evolved into a technology and logistics platform designed to help people access anything in their city, from meals to everyday essentials. We’re building the future of local commerce, and we’re looking for team members excited to be part of that journey.

Joining DoorDash means working in a fast-paced, dynamic environment where your ideas can shape products, impact millions of users, and help merchants, Dashers, and customers thrive. We value creativity, ownership, and continuous learning — and we’re committed to creating a workplace where everyone can grow their careers while making a real difference.

We also care deeply about our team’s well-being. DoorDash offers comprehensive benefits, including premium healthcare, paid parental leave, wellness reimbursements, and more — because we believe that when our people thrive, our communities thrive too.

About the Role

As the Engineering Manager, you will oversee a talented group of engineers, collaborating closely with product managers, operation and other cross-functional partners. Your primary responsibility will be driving the successful execution of our product roadmap, ensuring the timely delivery of high-quality solutions that meet both customer needs and business objectives. You will be key in fostering a collaborative and cross-functional work environment and promoting effective communication and synergy amongst team members. This role is ideal for a strategic thinker with strong leadership skills who can balance technical excellence with business priorities.

You're excited about this opportunity because you will…

• Lead and grow a team of exceptional engineers, empowering through delegation, and delivering end-to-end engineering solutions.
• Collaborate with Product Managers, Business leaders, and key stakeholders to determine the team's roadmap and vision, and manage execution against that roadmap.
• Provide architectural guidance and professional development for a team of 9 
• Encourage innovation, teamwork, implementation of cutting-edge technologies, and outside-of-the-box thinking
• Oversee the hiring process for your team, in partnership with recruiting, to grow a diverse and inclusive team

We're excited about you because you have… 

• BS, M.S., or PhD. in Computer Science or related field
• 2+ years of experience in people management leading backend teams of 5+ engineers
• 7+ years of industry experience
• Experience working with remote teams in different time zone(s) and fluency in English
• Extensive experience as an engineer in a fast-paced, product-focused development environment
• Experience with distributed system design, system scaling, and performance optimization
• Hands-on leadership and strong product intuition
• Experience in B2B product development
• Experience in data integrations via API, file exchange, self service tooling, etc
• Humility - willing to get into the details and open to feedback
• Growth mindset - you're eager to expand your skill set and excited to carve out your career path in a hyper-growth setting
• Adaptability, resiliency, and ability to thrive in ambiguity - things can change quickly, and you'll need to help the team evolve

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

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

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

About DoorDash

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

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

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

Medical documentation may be requested in accordance with applicable legislation.

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

At DoorDash, we’re on a mission to empower local economies — and that mission drives everything we do. What started as food delivery has evolved into a technology and logistics platform designed to help people access anything in their city, from meals to everyday essentials. We’re building the future of local commerce, and we’re looking for team members excited to be part of that journey.

Joining DoorDash means working in a fast-paced, dynamic environment where your ideas can shape products, impact millions of users, and help merchants, Dashers, and customers thrive. We value creativity, ownership, and continuous learning — and we’re committed to creating a workplace where everyone can grow their careers while making a real difference.

We also care deeply about our team’s well-being. DoorDash offers comprehensive benefits, including premium healthcare, paid parental leave, wellness reimbursements, and more — because we believe that when our people thrive, our communities thrive too.

About the Role

As the Engineering Manager, you will oversee a talented group of engineers, collaborating closely with product managers, operation and other cross-functional partners. Your primary responsibility will be driving the successful execution of our product roadmap, ensuring the timely delivery of high-quality solutions that meet both customer needs and business objectives. You will be key in fostering a collaborative and cross-functional work environment and promoting effective communication and synergy amongst team members. This role is ideal for a strategic thinker with strong leadership skills who can balance technical excellence with business priorities.

You're excited about this opportunity because you will…

• Lead and grow a team of exceptional engineers, empowering through delegation, and delivering end-to-end engineering solutions.
• Collaborate with Product Managers, Business leaders, and key stakeholders to determine the team's roadmap and vision, and manage execution against that roadmap.
• Provide architectural guidance and professional development for a team of 9 
• Encourage innovation, teamwork, implementation of cutting-edge technologies, and outside-of-the-box thinking
• Oversee the hiring process for your team, in partnership with recruiting, to grow a diverse and inclusive team

We're excited about you because you have… 

• BS, M.S., or PhD. in Computer Science or related field
• 2+ years of experience in people management leading backend teams of 5+ engineers
• 7+ years of industry experience
• Experience working with remote teams in different time zone(s) and fluency in English
• Extensive experience as an engineer in a fast-paced, product-focused development environment
• Experience with distributed system design, system scaling, and performance optimization
• Hands-on leadership and strong product intuition
• Experience in B2B product development
• Experience in data integrations via API, file exchange, self service tooling, etc
• Humility - willing to get into the details and open to feedback
• Growth mindset - you're eager to expand your skill set and excited to carve out your career path in a hyper-growth setting
• Adaptability, resiliency, and ability to thrive in ambiguity - things can change quickly, and you'll need to help the team evolve

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

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

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

About the Team

The Analytics Engineering team at DoorDash is embedded within the Analytics and Data Engineering Orgs, and is responsible for building internal data products that scale decision-making across business teams and drive efficiency in our operations. Data is fundamental to DoorDash’s success, and this team plays a critical role in enabling high-impact, data-driven solutions across Product, Operations, Finance, and more.

Please apply here for all non-managerial levels within the following analytics teams:

• Consumer & Growth
• Business Operations
• Dasher & Logistics
• Customer Experience & Integrity
• Merchant
• Ads & Promotions 
• New Verticals

About the Role

As an Analytics Engineer, you’ll play a key role in building and scaling the data foundations that enable fast, reliable, and actionable insights. You’ll work closely with partner teams to drive end-to-end analytics initiatives, working alongside Data Engineers, Data Scientists, Software Engineers, Product Managers, and Operators.

This is a highly technical role where you'll be a driving force behind the analytics stack, delivering trusted data and metrics that support decision-making at all levels of the company. If you're energized by solving technical problems with data and are comfortable being deeply embedded across several domains, this role is for you!

You're excited about this opportunity because you will…

• Collaborate with data scientists, data engineers, and business stakeholders to understand business needs, and translate that scope into data requirements
• Identify key business questions and problems to solve for, and generate insights by developing structured solutions to resolve them
• Lead the development of data products and self-serve tools that enable analytics to scale across the company
• Build and maintain canonical datasets by developing high-volume, reliable ETL/ELT pipelines using data lake and data warehousing concepts
• Design metrics and data visualizations with dashboarding tools like Tableau, Sigma, and Mode
• Be a cross-functional champion at upholding high data integrity standards to increase reusability, readability and standardization

**Interviews will be conducted in English**

We're excited about you because you have…

• 2-6+ years of experience working in business intelligence, analytics engineering, data engineering, or a similar role
• Strong proficiency in SQL for data transformation, comfort in at least one functional/OOP language such as Python or Scala
• Experience in creating compelling reporting and data visualization solutions using dashboarding tools (e.g., Looker, Tableau, Sigma)
• Familiarity with database fundamentals (e.g. S3, Trino, Hive, Spark), and experience with SQL performance tuning
• Experience in writing data quality checks to validate data integrity (e.g., Pydeequ, Great Expectations)
• Strong communication skills and experience working with technical and non-technical teams
• Comfortable working in fast paced environment, self starter and self organizing
• Ability to think strategically, analyze and interpret market and consumer information
• Are able to work in a hybrid model in our office in São Paulo, Brazil

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

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

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

About the Team

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

About the Role

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

You’re excited about this opportunity because you will…

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

We’re excited about you because you have…

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

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

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

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

Engineering the future of logistics – from Brazil to the world

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

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

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

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

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

You’re excited about this opportunity because you will…

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

**Interviews will be conducted in English**

We’re excited about you because…

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

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

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

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

Engineering the future of logistics – from Brazil to the world

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

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

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

Medical documentation may be requested in accordance with applicable legislation.

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

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

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

You’re excited about this opportunity because you will…

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

**Interviews will be conducted in English**

We’re excited about you because…

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

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

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

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

Engineering the future of logistics – from Brazil to the world

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

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

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

You’re excited about this opportunity because you will…

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

**Interviews will be conducted in English**

We’re excited about you because…

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

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

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

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

About the Team

The Analytics Engineering team at DoorDash is embedded within the Analytics and Data Engineering Orgs, and is responsible for building internal data products that scale decision-making across business teams and drive efficiency in our operations. Data is fundamental to DoorDash’s success, and this team plays a critical role in enabling high-impact, data-driven solutions across Product, Operations, Finance, and more.

Please apply here for all non-managerial levels within the following analytics teams:

• Consumer & Growth
• Business Operations
• Dasher & Logistics
• Customer Experience & Integrity
• Merchant
• Ads & Promotions 
• New Verticals

About the Role

As an Analytics Engineer, you’ll play a key role in building and scaling the data foundations that enable fast, reliable, and actionable insights. You’ll work closely with partner teams to drive end-to-end analytics initiatives, working alongside Data Engineers, Data Scientists, Software Engineers, Product Managers, and Operators.

This is a highly technical role where you'll be a driving force behind the analytics stack, delivering trusted data and metrics that support decision-making at all levels of the company. If you're energized by solving technical problems with data and are comfortable being deeply embedded across several domains, this role is for you!

You're excited about this opportunity because you will…

• Collaborate with data scientists, data engineers, and business stakeholders to understand business needs, and translate that scope into data requirements
• Identify key business questions and problems to solve for, and generate insights by developing structured solutions to resolve them
• Lead the development of data products and self-serve tools that enable analytics to scale across the company
• Build and maintain canonical datasets by developing high-volume, reliable ETL/ELT pipelines using data lake and data warehousing concepts
• Design metrics and data visualizations with dashboarding tools like Tableau, Sigma, and Mode
• Be a cross-functional champion at upholding high data integrity standards to increase reusability, readability and standardization

**Interviews will be conducted in English**

We're excited about you because you have…

• 2-6+ years of experience working in business intelligence, analytics engineering, data engineering, or a similar role
• Strong proficiency in SQL for data transformation, comfort in at least one functional/OOP language such as Python or Scala
• Experience in creating compelling reporting and data visualization solutions using dashboarding tools (e.g., Looker, Tableau, Sigma)
• Familiarity with database fundamentals (e.g. S3, Trino, Hive, Spark), and experience with SQL performance tuning
• Experience in writing data quality checks to validate data integrity (e.g., Pydeequ, Great Expectations)
• Strong communication skills and experience working with technical and non-technical teams
• Comfortable working in fast paced environment, self starter and self organizing
• Ability to think strategically, analyze and interpret market and consumer information
• Are able to work in a hybrid model in our office in São Paulo, Brazil

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

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

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

We’re expanding our data engineering capabilities across Mexico, Brazil, Argentina, Colombia, Chile, and Peru, and we’re hiring a Senior Clinical Data Engineer to help build the foundation of this new regional function. In this role, you’ll lead the development and optimization of clinical data systems, drive data standardization, build validation frameworks, and design high‑performance databases and pipelines across global trials.

The Senior Clinical Data Engineer leads the strategic development and optimization of clinical data systems to support regulatory compliance, advanced analytics, and operational excellence across global trials.

This role drives enterprise-level data standardization initiatives, and architects scalable validation frameworks to proactively address systemic data issues. With deep expertise in Python, R, SQL, and SAS, the engineer builds and maintains modular codebases, sets coding standards, and mentors junior engineers. The role also oversees regulatory alignment with GCP and FDA 21 CFR Part 11, establishing robust documentation and audit trail protocols. Through dynamic dashboards and analytics tools, the engineer delivers actionable insights into trial performance and data quality. As a strategic liaison across Biostatistics, Clinical Operations, and Regulatory Affairs, the engineer translates clinical requirements into scalable technical solutions and leads the design of secure, high-performance databases and ETL pipelines integrating data from diverse clinical systems.

Essential functions of the job include but are not limited to:

Data Standardization & Mapping: Spearhead the development of enterprise-level data mapping strategies that transform raw clinical data into standardized formats for high-impact analytics. Lead the adoption and governance of data standards across programs to ensure regulatory alignment and consistency.

Data Quality Assurance: Design and implement robust, scalable validation frameworks that proactively detect and resolve systemic data issues. Serve as a strategic partner to Clinical Data Managers and cross-functional teams, driving continuous improvement in data integrity across global trials

Programming & Scripting: Architect and maintain advanced, modular codebases using Python, R, SQL, and SAS to support complex data engineering workflows. Establish coding standards and mentor junior engineers in automation, reproducibility, and performance optimization. Example use cases includes edit checks, reconciliations, exception listings, programmed protocol deviations, resource projections based on site data entry volume

Regulatory Compliance & Documentation: Lead compliance initiatives to ensure all data systems and workflows meet GCP, FDA 21 CFR Part 11, and evolving global regulatory requirements. Define documentation protocols and oversee audit trail governance to support inspection readiness and transparency.
Reporting & Visualization - Develop and operationalize dynamic dashboards and analytics tools that provide real-time insights into data quality, trial progress, and operational KPIs. Translate complex datasets into actionable intelligence for clinical and regulatory stakeholders.

Collaboration & Cross-Functional Support: Act as a strategic liaison between Clinical Data Engineering and Biostatistics, Clinical Operations, and Regulatory Affairs. Translate clinical and scientific requirements into scalable technical solutions that support study execution and data delivery.

Database Design & Optimization: Lead the design and optimization of secure, high-performance relational databases and data lakes. Ensure infrastructure scalability, query efficiency, and data governance for large-scale clinical datasets.

Qualifications:

Minimum Required:

• Bachelor’s Degree in a relevant field (life sciences, statistics, data management, clinical operations) or relevant/equivalent combination of education, training, and experience
• Minimum 6 years experience in clinical monitoring, clinical trial management or equivalent
• Advanced programming and automation skills; database design; dashboard development; CDISC governance
• Professional working proficiency in English

Other Required:

• Highly effective oral and written communication skills with the ability to communicate effectively with project team members
• Excellent organizational and time management skills
• Ability to work in a team or independently as required
• Demonstrated ability to learn how to extract pertinent information from protocols, electronic study data systems and clinical systems
• Proficiency in statistical analysis and data monitoring tools.
• Detail-oriented with strong analytical and problem-solving skills
• Demonstrated experience with integrated risk planning & management
• Ability to mentor junior team members

Preferred:

• CRO experience as a Clinical Data Engineer or Programmer

Skills:

• Strong analytical and problem-solving skills with attention to data quality and integrity.
• Ability to work with large, complex datasets from multiple sources.
• Effective communication skills to collaborate with cross-functional teams.
• Knowledge of data governance, privacy, and security best practices in clinical research.

Competencies:

• Collaboration: Works effectively with clinical, statistical, and technical teams to align data strategies with study goals.
• Accountability: Takes ownership of data engineering deliverables and ensures timely, high-quality outputs.
• Adaptability: Thrives in a fast-paced, evolving environment with shifting priorities and timelines.
• Compliance-Oriented: Maintains a strong focus on regulatory compliance and data traceability.

#LI-AG2 #LI-REMOTE

We’re expanding our data engineering capabilities across Mexico, Brazil, Argentina, Colombia, Chile, and Peru, and we’re hiring a Senior Clinical Data Engineer to help build the foundation of this new regional function. In this role, you’ll lead the development and optimization of clinical data systems, drive data standardization, build validation frameworks, and design high‑performance databases and pipelines across global trials.

The Senior Clinical Data Engineer leads the strategic development and optimization of clinical data systems to support regulatory compliance, advanced analytics, and operational excellence across global trials.

This role drives enterprise-level data standardization initiatives, and architects scalable validation frameworks to proactively address systemic data issues. With deep expertise in Python, R, SQL, and SAS, the engineer builds and maintains modular codebases, sets coding standards, and mentors junior engineers. The role also oversees regulatory alignment with GCP and FDA 21 CFR Part 11, establishing robust documentation and audit trail protocols. Through dynamic dashboards and analytics tools, the engineer delivers actionable insights into trial performance and data quality. As a strategic liaison across Biostatistics, Clinical Operations, and Regulatory Affairs, the engineer translates clinical requirements into scalable technical solutions and leads the design of secure, high-performance databases and ETL pipelines integrating data from diverse clinical systems.

Essential functions of the job include but are not limited to:

Data Standardization & Mapping: Spearhead the development of enterprise-level data mapping strategies that transform raw clinical data into standardized formats for high-impact analytics. Lead the adoption and governance of data standards across programs to ensure regulatory alignment and consistency.

Data Quality Assurance: Design and implement robust, scalable validation frameworks that proactively detect and resolve systemic data issues. Serve as a strategic partner to Clinical Data Managers and cross-functional teams, driving continuous improvement in data integrity across global trials

Programming & Scripting: Architect and maintain advanced, modular codebases using Python, R, SQL, and SAS to support complex data engineering workflows. Establish coding standards and mentor junior engineers in automation, reproducibility, and performance optimization. Example use cases includes edit checks, reconciliations, exception listings, programmed protocol deviations, resource projections based on site data entry volume

Regulatory Compliance & Documentation: Lead compliance initiatives to ensure all data systems and workflows meet GCP, FDA 21 CFR Part 11, and evolving global regulatory requirements. Define documentation protocols and oversee audit trail governance to support inspection readiness and transparency.
Reporting & Visualization - Develop and operationalize dynamic dashboards and analytics tools that provide real-time insights into data quality, trial progress, and operational KPIs. Translate complex datasets into actionable intelligence for clinical and regulatory stakeholders.

Collaboration & Cross-Functional Support: Act as a strategic liaison between Clinical Data Engineering and Biostatistics, Clinical Operations, and Regulatory Affairs. Translate clinical and scientific requirements into scalable technical solutions that support study execution and data delivery.

Database Design & Optimization: Lead the design and optimization of secure, high-performance relational databases and data lakes. Ensure infrastructure scalability, query efficiency, and data governance for large-scale clinical datasets.

Qualifications:

Minimum Required:

• Bachelor’s Degree in a relevant field (life sciences, statistics, data management, clinical operations) or relevant/equivalent combination of education, training, and experience
• Minimum 6 years experience in clinical monitoring, clinical trial management or equivalent
• Advanced programming and automation skills; database design; dashboard development; CDISC governance
• Professional working proficiency in English

Other Required:

• Highly effective oral and written communication skills with the ability to communicate effectively with project team members
• Excellent organizational and time management skills
• Ability to work in a team or independently as required
• Demonstrated ability to learn how to extract pertinent information from protocols, electronic study data systems and clinical systems
• Proficiency in statistical analysis and data monitoring tools.
• Detail-oriented with strong analytical and problem-solving skills
• Demonstrated experience with integrated risk planning & management
• Ability to mentor junior team members

Preferred:

• CRO experience as a Clinical Data Engineer or Programmer

Skills:

• Strong analytical and problem-solving skills with attention to data quality and integrity.
• Ability to work with large, complex datasets from multiple sources.
• Effective communication skills to collaborate with cross-functional teams.
• Knowledge of data governance, privacy, and security best practices in clinical research.

Competencies:

• Collaboration: Works effectively with clinical, statistical, and technical teams to align data strategies with study goals.
• Accountability: Takes ownership of data engineering deliverables and ensures timely, high-quality outputs.
• Adaptability: Thrives in a fast-paced, evolving environment with shifting priorities and timelines.
• Compliance-Oriented: Maintains a strong focus on regulatory compliance and data traceability.

#LI-AG2 #LI-REMOTE

Partner Solutions Engineer (PSE)

Location: Remote – Brazil
Company: Chainguard
Travel: Up to 50%

About Chainguard

Chainguard is building the future of secure software supply chains by delivering secure-by-default container images, helm charts and language libraries alongside developer tools that eliminate vulnerabilities before software reaches production.

We partner with cloud providers, VARs/SIs, and technology platforms to help organizations adopt secure software development practices at scale.

We are looking for a Partner Solutions Engineer (PSE) to help enable and scale our partner ecosystem by building technical champions, developing integrations, and accelerating partner-led adoption of Chainguard solutions.

This role combines technical depth, partner enablement, and go-to-market collaboration.

Our partner engagement model follows the BEPIC framework:

• Belief – Build technical conviction in Chainguard
• Executive Sponsorship – Align with partner leadership
• Propensity to Embed – Integrate Chainguard into partner architectures
• Integrated Value Proposition – Deliver compelling joint solutions
• Cadence – Maintain consistent partner engagement

What You'll Do

Build Partner Technical Champions

Enable technical teams across cloud providers, VARs/SIs, and technology partners through workshops, training programs and paths, and hands-on labs. Develop reusable partner assets including reference architectures, demos, and solution playbooks.

Drive Integrations and Architecture

Work with partners and internal teams to design secure cloud-native architectures that incorporate Chainguard into DevOps, platform engineering, and security workflows. Collaborate with product and engineering teams to bring partner integrations to life.

Develop Joint Partner Solutions

Co-create partner-led services and offerings that help customers adopt Chainguard solutions. Partner closely with Sales and Partner Managers to identify deals, accelerate the sales cycle, help with adoption, and grow partner-influenced revenue across the company.

Support Strategic Partner Relationships

Engage with partner technical leaders and executives to align on technical roadmaps and solution strategies. Broadcast partners' progress to field teams internally and encourage the close collaboration of Chainguard - Partner SEs for maximum joint value proposition and have a strong influence over product direction. 

Maintain Strong Partner Engagement

Run ongoing enablement sessions, workshops, and joint technical activities to ensure partners remain engaged and capable of delivering Chainguard solutions.  Initiatives to cultivate strong bonds with new and existing partners.

What We're Looking For

• 5+ years in Solutions Engineering, Partner Solutions Architecture, or Sales Engineering
• Experience with cloud platforms (AWS, Azure, or GCP)
• Hands-on experience with containers, Kubernetes, or cloud-native infrastructure
• Familiarity with DevSecOps, platform engineering, or cloud security
• Experience enabling partners through technical training or solution development
• Strong ability to communicate complex technical topics to both engineers and business stakeholders
• Ability to travel up to 50%

Nice to Have

Technical evangelism and storytelling — able to inspire partner technical teams and clearly communicate complex concepts to both engineers and business stakeholders

High emotional intelligence and relationship building — able to build trust, read partner dynamics, and engage effectively with stakeholders from engineers to executives

Collaborative leadership — skilled at aligning cross-functional teams and partners to drive joint solutions and shared outcomes

If you're passionate about cloud-native technology, open source, security, and partner ecosystems, we'd love to hear from you.

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 Nubank’s Mobile Platform and App Core

The Mobile Platform’s mission aligns with Nubank’s commitment to delivering the best experience for our customers by ensuring a high-performing, stable, and seamless app.
Within Mobile Platform, App Core focuses on providing user-friendly, scalable, high-performing, and cost-efficient app infrastructure components and mobile tools that enable Nubank engineers to quickly and safely test, deploy, monitor, analyze, and improve app flows and features.

App Core is at the heart of the Nubank app’s foundation, powering app performance, infrastructure scalability, and the removal of legacy dependencies to allow our application to grow from millions to potentially billions of fanatic customers.

The Opportunity

This role will involve working across a variety of technologies, including Native, Flutter, and related frameworks. We are looking for a Mobile Engineer with experience to join the App Core team — a cross-impact engineering team responsible for building and maintaining the core infrastructure of the mobile application, optimizing our performance, and enabling product teams to deliver high-quality mobile experiences.

What We’re Looking For

Must Have:

• Proven experience in mid-level technical mobile development.
• Tchnical background with Flutter or native mobile development (Android/iOS).
• Understanding of mobile software engineering principles, architectural patterns, and modularization strategies.
• Experience with performance optimization, dependency injection, and migration of core systems.
• Knowledge of mobile observability, monitoring, and debugging tools.
• Good communication skills in English, with the ability to explain concepts to diverse audiences.

Nice to Have:

• Knowledge backend technologies, especially those integrated with mobile applications.
• Familiarity with distributed systems and large-scale app architecture.
• Contributions to internal SDKs, libraries, or mobile design systems.
• Understanding of user authentication, session management, and app state handling.

Why Join Us

• Impact at Scale: Help shape the mobile experience for millions of customers across multiple countries, with the goal of reaching billions.
• Technical Leadership: Influence the architecture and foundational technologies that all Nubank engineers rely on.
• Innovation-Driven Culture: Work in a dynamic, collaborative environment that values experimentation, continuous improvement, and engineering excellence.
• Career Growth: Develop as a strategic engineering, working on complex technical and organizational challenges.

Our Benefits

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

Work Model for this Role

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

About you

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

The Opportunity

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

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

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

Who we're looking for

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

Bonus Points For

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

#LI-KG1

#LI-BRAZIL

The Opportunity

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

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

What You’ll Do

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

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

Who We’re Looking For

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

Nice to Haves

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

How We Hire Across Our AI Teams

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

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

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

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

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

Why You’ll Love It Here

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

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

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

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

The Opportunity

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

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

What You’ll Do

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

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

Who We’re Looking For

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

Nice to Haves

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

How We Hire Across Our AI Teams

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

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

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

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

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

Why You’ll Love It Here

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

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

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

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

The Opportunity

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

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

What You’ll Do

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

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

Who We’re Looking For

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

Nice to Haves

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

How We Hire Across Our AI Teams

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

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

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

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

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

Why You’ll Love It Here

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

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

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

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

The Opportunity

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

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

What You’ll Do

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

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

Who We’re Looking For

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

Nice to Haves

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

How We Hire Across Our AI Teams

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

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

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

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

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

Why You’ll Love It Here

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

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

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

#LI-KG1
#LI-BRAZIL

**This opportunity is focused on building our Talent Pool for future roles.**

WANTED: Thinkers, Builders & Dreamers

For over 15 years, ArcTouch has created lovable apps, websites, and connected experiences for world-class companies, leading brands, and innovative startups. See some of our work.

Since launching our first app in 2009, we’ve followed these core beliefs:

• Create lovable products, the perfect blend of something useful and delightful that forges meaningful connections with users.
• Be a lovable company where amazing teams of diverse individuals collaborate every day to create something we can be proud of.

ArcTouch is a specialty studio that is part of the award-winning AKQA Group.

If you're passionate about building lovable products, we want you to join us!

Know the Web Developers Team

We level our activities here with a clear measurement scale: excellence. Our team builds the most lovable products around. With fellowship, ownership, and passion we build and ship web-related products, tailored for the most distinct scenarios and necessities. We are eager for innovation. That's why we have study groups, meetups, and web talks that help us stay up to date on the latest technologies, and the most awesome part is that we grow together that way. With all that, we aim to improve on every project and delivery, always aligned with our purpose: to help our clients become superheroes.

Role expectations:

Front-end:

• Develop great front-end features, rich in interactions, scalable and maintainable, using ReactJS, Angular or VueJS;
• Design and create data fetching and state management systems on the front-end using Flux, Redux, or Mobx (but if you are familiar with another tool that may do a great job with that, bring it on);
• Partner up with our Product Designers to iterate, validate and improve the design of our product;
• Write unit tests to detect and prevent any changes that may break the design contract;
• Focus on cross-browser development, deploying the same user experience for a wide range of browsers, even those not chromium-based.

Back-end:

• Develop and maintain well-designed back-end services, easy to scale and maintain, secure and robust, using NodeJS, Go (Golang), or Python;
• Design, implement and maintain scalable REST APIs, secure and reliable that can be consumed by either mobile and web applications;
• Deploy, monitor, and maintain back-end applications, aim for top performance, security, and scalable infrastructure, using AWS, Azure, or Google Cloud .

General

• Define and implement a fit usage of GitFlow, using either GitHub, GitLab, or any other git repository;
• Design and build readable code, well-defined architecture, following the OOP pillars: Encapsulation, Data Abstraction, Polymorphism, and Inheritance (hey, Functional Programmers, feel free to join as well. We’d love to level our products with some FP);
• Architect, design, and implement databases, either relational and non-relational, using Microsoft SQL SERVER, MySql, MariaDB, MongoDB, Cassandra or any other available database;
• Participate in the hiring process for your chapter by doing tech interviews, helping the company to hire more talented people like you;
• Engage in English meetings with our clients, helping them identify better approaches and solutions, sustain opinions on complex conversations to negotiate and estimate deadlines.

On a typical day with us, you will:

• Work seamlessly with both frontend and backend technologies;
• Keep yourself up to date on the latest market technologies;
• Analyze different contexts always looking to improve the experience of our projects in both coding and execution;
• Join tech discussions about the project, tech challenges and how to improve our solutions;
• Have a clear communication with our clients, leveling expectations and project definitions;
• Support your teammates and help them to keep learning and developing their skills;
• Engage in English meetings with our clients, your team and Project Managers and contribute with the technical point of view;
• Drive our culture and values, acting as an owner of our principles by living and applying them.

REMOTE WORK: This position is remote-friendly. If you miss being in the office, we have a great one in Florianópolis and you are welcome to work from there whenever you wish. Just a reminder: remote employees must live in Brazil (we hire international professionals only for specific openings).

Why work for us? Simple: We love what we do.

Make sure to check out our employee reviews on Glassdoor to find out why they love working for ArcTouch.

ArcTouch is an Equal Opportunity Employer (EOE). Applicants are considered for employment without regard to age, race, color, religion, sex, national origin, sexual orientation, gender identity and gender expression, disability, or veteran status.

Come join us!

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*