GCP Jobs in Sao Paulo.
All active GCP roles based in Sao Paulo.
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Data Engineer – Brazil – Vaga exclusiva para PCD
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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
About DoorDash
At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started by enabling door-to-door delivery, and we are looking for team members who can help us go from a company that is known as the place you order food to a company that people turn to for any and all goods.
DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks.
Our Commitment to Diversity and Inclusion
We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
This position is open to candidates with disabilities. DoorDash welcomes applicants registered with the national autism registry (SisTEA) and others who seek an inclusive workplace.
If you need any accommodations, please inform your recruiting contact upon initial connection.
We use Covey as part of our hiring and/or promotional process for jobs in certain locations.
The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: https://getcovey.com/nyc-local-law-144
To request a reasonable accommodation under applicable law or alternate selection process, please inform your recruiting contact upon initial connection.
Ready to apply?
Apply to DoorDash Brazil
Data Engineer – Brazil – Vaga para mulheres
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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
About DoorDash
At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started by enabling door-to-door delivery, and we are looking for team members who can help us go from a company that is known as the place you order food to a company that people turn to for any and all goods.
DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks.
Our Commitment to Diversity and Inclusion
We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
This position is open to candidates with disabilities. DoorDash welcomes applicants registered with the national autism registry (SisTEA) and others who seek an inclusive workplace.
If you need any accommodations, please inform your recruiting contact upon initial connection.
We use Covey as part of our hiring and/or promotional process for jobs in certain locations.
The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: https://getcovey.com/nyc-local-law-144
To request a reasonable accommodation under applicable law or alternate selection process, please inform your recruiting contact upon initial connection.
Ready to apply?
Apply to DoorDash Brazil
Data Engineer
Share this job
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 DoorDash
At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started by enabling door-to-door delivery, and we are looking for team members who can help us go from a company that is known as the place you order food to a company that people turn to for any and all goods.
DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks.
Our Commitment to Diversity and Inclusion
We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
This position is open to candidates with disabilities. DoorDash welcomes applicants registered with the national autism registry (SisTEA) and others who seek an inclusive workplace.
If you need any accommodations, please inform your recruiting contact upon initial connection.
We use Covey as part of our hiring and/or promotional process for jobs in certain locations.
The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: https://getcovey.com/nyc-local-law-144
To request a reasonable accommodation under applicable law or alternate selection process, please inform your recruiting contact upon initial connection.
Ready to apply?
Apply to DoorDash Brazil
Partner Solutions Architect (LATAM)
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We are Datadog's in-house product experts. The technical solutions team enables Datadog's worldwide growth by educating potential clients and ensuring that existing customers are happy and successful.
The Partner Solution Architect (PSA) is a Datadog expert who will work closely with Datadog’s Director of Partner Solutions Architects, and is aligned to our Channels & Alliances business segment. The PSA is responsible for supporting a variety of technical initiatives and activities for our partners (for example: cloud migration, application modernization, DevOps transformation). They are accountable for the outcome of these initiatives, and frequently collaborate with both Datadog and Partner resources to drive success. The PSA is a trusted technical advisor for our Partner channel.
At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.
What You’ll Do:
- Ensure the successful onboarding, training, enablement, and certification of partner technical resources;
- Participate in periodic joint business planning and review sessions to ensure direct alignment between Datadog and Partner technical teams;
- Collaborate internally to support Partner technical initiatives such as end-customer demonstrations and proofs of value; partner team enablement workshops; assessment, advice, and coaching on lead practices;
- Advocate on behalf of Partners’ technical concerns (use cases, feature requests, support issues, e.g.) with Datadog internal teams and personnel, helping to bring those concerns to resolution;
- Analyze and understand Partner service offerings on a regular basis and provide recommendations to enhance the value of those services through greater or improved adoption of Datadog features and capabilities;
- Collaborate with Datadog’s product management, engineering and technical services teams to help identify and prioritize new features and capabilities;
- Continuously help curate and evolve lead/best practices for Datadog platform adoption and success.
Who You Are:
- Possess a solid technical grounding with hands-on experience of IT Development and/or Operations
- Has a demonstrable track-record and never-ending passion for learning; successful candidates for this position typically have 10-15 years of experience in a customer or partner facing technical role
- A self-starter, tech-savvy professional with solid business acumen; ability to articulate Datadog value from server room to boardroom;
- Confident presentation skills
- Desired hands-on experience in two or more of the following areas:
- Observability: Datadog, Splunk, AppD, New Relic or Dynatrace
- Public Cloud: AWS, Azure, GCP, or Alibaba
- Containerization: Docker, Kubernetes, OpenShift, Cloud Foundry
- Dev/Scripting: Python, Javascript, Ruby, Perl, PHP, Go
- Config Mgmt: Terraform, Ansible, Puppet, Chef
- CI / CD: Jenkins, Gitlab
- Bonus Points:
- Previous experience working in a technical role for or supporting channel partners (Systems Integrators, Managed Services Providers, e.g.)
- Previous experience using Datadog and/or other cloud monitoring tools (APM,
- Infrastructure, Logs, Synthetics, NPM)
- Previous experience with root-cause-analysis, troubleshooting, debugging
Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.
Benefits and Growth:
- Best-in-breed onboarding
- Generous global benefits
- Intra-departmental mentor and buddy program for in-house networking
- New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
- Continuous professional development, product training, and career pathing
- An inclusive company culture, able to join our Community Guilds and Inclusion Talks
Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.
About Datadog:
Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.
Equal Opportunity at Datadog:
Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.
Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.
Privacy and AI Guidelines:
Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.
Ready to apply?
Apply to Datadog
We are Datadog's in-house product experts. The Technical Solutions team enables Datadog’s worldwide growth by educating potential clients and ensuring that existing customers are happy and successful. As a Technical Account Manager 2 (TAM 2), you’ll serve as a trusted advisor to our strategic customers, accelerating their adoption of the Datadog platform and enabling long-term success. TAM 2s bring deep technical expertise, refined customer skills, and consultative insight into how monitoring, observability, and DevOps practices translate to business value.
At Datadog, we place value in our office culture—the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.
What You’ll Do:
- Act as a technical advisor to 3 primary enterprise accounts, ensuring successful product adoption and effective usage of the Datadog platform.
- Lead enablement and adoption sessions across core product areas tailored to your customer’s architecture and business needs.
- Analyze customers’ IT Operations environments and workflows to recommend configuration, product usage, and performance improvements.
- Deliver technical business reviews, health checks, and account maturity assessments, contributing to customer QBRs with impactful recommendations.
- Escalate product issues appropriately and advocate for your customers’ needs with Datadog’s Product and Engineering teams.
- Create executive-level summaries and insights that tie platform usage to business outcomes.
- Participate in internal TAM strategy sessions and contribute to team learning through feature presentations, case studies, or best-practice sharing
Who You Are:
- You have 2+ years of experience in a technical customer-facing role (TAM, Solutions Architect, SRE, DevOps Engineer, or similar) within the cloud or observability space.
- You’re confident with at least two public cloud platforms (e.g. AWS, Azure, GCP) and have hands-on experience with infrastructure or application monitoring.
- You’re familiar with scripting or automation tools (e.g. Python, Bash, Terraform, Chef/Puppet).
- You have working knowledge of CI/CD pipelines and containerization tools (e.g. Jenkins, GitLab, Docker, Kubernetes).
- You excel at communicating technical concepts to both technical and non-technical stakeholders, and can adapt your style for individual contributors or exec audiences.
- You’re able to work with minimal guidance on customer enablement, issue triage, and product adoption strategies.
- You are comfortable traveling up to 25–30% of the time as needed (via auto, air, or train).
- Previous experience using Datadog or other cloud monitoring tools is a strong plus
Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.
Benefits and Growth:
- Best-in-breed onboarding program
- Generous global benefits package
- Intra-departmental mentor and buddy program for in-house networking
- New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
- Continuous professional development, product training, and career pathing
- An inclusive company culture, including Community Guilds and Inclusion Talks
Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.
#LI-Hybrid
About Datadog:
Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.
Equal Opportunity at Datadog:
Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.
Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.
Privacy and AI Guidelines:
Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.
Ready to apply?
Apply to Datadog
We are Datadog's in-house product experts. The technical solutions team enables Datadog's worldwide growth by educating potential clients and ensuring that existing customers are happy and successful. A Technical Account Manager (TAM) will continue to provide hands-on technical services to our largest customers by supporting, adopting and providing guidance over the comprehensive suite of products and features available at Datadog. A TAM is held in high regard as an expert and trusted advisor for how IT Operations translates to business value.
At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.
What You’ll Do:
- Advise on technical support and product adoption for customers in line with pre-sales, post-sales and the renewal processes
- Analyze customer’s IT Operations environment on a regular basis and provide recommendations that will maximize Datadog’s value.
- Be the customer’s advocate by knowing their goals and use cases then suggesting process changes, product adoption, configuration and additional features to meet their requirements
- Participate and prepare for Monthly and Quarterly Business Reviews with customers
- Collaborate with Datadog’s product management, engineering and technical services teams to help identify new features and products
- Continuously evolve best practice to technical product adoption and customer success
Who You Are:
- Someone with a solid technical grounding and hands-on experience of IT Operations
- Confident in your hands on experience AWS, Azure or GCP
- Comfortable scripting languages like Python, Javascript, Ruby, Perl, Go, PHP, or Chef/Puppet etc.
- Skilled in using CI/CD tools e.g. Jenkins, Gitlab etc.
- Knowledgeable about Containerization tools e.g. Docker, Kubernetes or Rancher etc.
- Able to sit up to 4 hours, traveling to and from client sites
- Able to travel via auto, train or air up to 30% of the time
- Previous experience working as a TAM supporting mid-market and/or Enterprise customers in the cloud space
- Experienced using Datadog and/or other cloud monitoring tools
- Fluent in written and spoken Portuguese and English
Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.
Benefits and Growth:
- Best-in-breed onboarding
- Generous global benefits
- Intra-departmental mentor and buddy program for in-house networking
- New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
- Continuous professional development, product training, and career pathing
- An inclusive company culture, able to join our Community Guilds and Inclusion Talks
Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.
#LI-Hybrid
About Datadog:
Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.
Equal Opportunity at Datadog:
Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.
Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.
Privacy and AI Guidelines:
Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.
Ready to apply?
Apply to Datadog
Somos o acelerador que impulsiona o crescimento na Ibero-América, combinando a excelência global em engenharia da EPAM com a experiência regional e a proximidade cultural da NEORIS. Ajudamos as organizações a escalar, modernizar e avançar em sua transformação digital por meio de soluções em Cloud, Data & Analytics, Inteligência Artificial, Cibersegurança, Automação Inteligente, Consultoria Estratégica e Engenharia de Software.
Respaldados por mais de 60.000 profissionais em mais de 55 países e por um sólido modelo Nearshore, conectamos capacidades globais com confiança local para gerar impacto real, crescimento sustentável e resultados de alto valor para nossos clientes.
Acreditamos que a diversidade impulsiona a inovação. Por isso, todas as nossas oportunidades estão abertas para todas as pessoas, independente de gênero, raça, idade, identidade, orientação ou condição.
Localidade: São Paulo/Pinheiros
Modelo de atuação: Híbrido
Formato de contratação: CLT
Descrição do Cargo
Estamos buscando um(a) Data Business Analyst para atuar como ponte entre as áreas de negócio e o time de dados, transformando dados em insights estratégicos que apoiem a tomada de decisão. Essa pessoa será responsável por entender as necessidades do negócio, analisar dados e comunicar resultados de forma clara e acionável.
Responsabilidades
- Levantar e traduzir requisitos de negócio em análises e métricas de dados
- Analisar grandes volumes de dados para identificar tendências, oportunidades e riscos
- Criar, manter e evoluir dashboards e relatórios gerenciais
- Trabalhar em conjunto com Data Engineers, Data Scientists e stakeholders de negócio
- Definir e acompanhar KPIs e métricas de performanceApoiar a tomada de decisão por meio de análises exploratórias e estudos ad hoc
- Garantir a qualidade, consistência e confiabilidade dos dados utilizados nas análises
- Documentar requisitos, métricas e definições de negócio
- Apresentar insights e recomendações de forma clara para públicos técnicos e não técnicos
Requisitos
- Formação em Administração, Economia, Engenharia, Estatística, Sistemas de Informação ou áreas correlatas
- Experiência com análise de dados voltada para negócio
- Domínio de SQL
- Experiência com ferramentas de visualização de dados (Power BI, Tableau, Looker, etc.).
- Conhecimento em modelagem de dados analíticos
- Capacidade de interpretar dados e traduzi-los em insights de negócio
- Boa comunicação e habilidade para apresentação de resultados
Diferenciais
- Experiência com cloud (GCP, Azure ou AWS)
- Conhecimento em Python ou R para análises
- Experiência com ferramentas de BI em cloud (Looker, Power BI Service, etc.)
- Conhecimento em métricas financeiras, operacionais ou de produto
- Experiência com metodologias ágeis (Scrum, Kanban).
- Forte pensamento analítico e crítico.
- Capacidade de trabalhar com múltiplos stakeholders.
- Organização e atenção aos detalhes.
- Proatividade e foco em solução.
- Facilidade para explicar dados de forma simples e objetiva.
Oferecemos
- Vale Refeição e Vale Alimentação: Benefícios mensais para suas despesas com alimentação, dentro e fora de casa.
- Previdência Privada: Planejamento de futuro com contribuição complementar à aposentadoria.
- Plano de Saúde: Cobertura médica de alta qualidade para você e seu dependente legal.
- Plano Odontológico: Cuidados odontológicos completos, com ampla rede de atendimento.
- Seguro de Vida: Proteção e segurança para você e seus entes queridos.
- Aulas de Inglês/Espanhol: Incentivo ao aprendizado de idiomas.
- Wellhub: Benefícios e descontos em academias e programas de bem-estar.
- Auxílio Creche: Suporte financeiro para despesas com educação infantil.
- Neoris Global Campus: Plataforma de desenvolvimento com oportunidades contínuas de aprendizado e crescimento profissional.
Te convidamos a nos conhecer em http://www.neoris.com, Facebook, LinkedIn, Twitter o Instagram: @NEORIS.
#LI-BR1
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Senior Machine Learning Engineer - Refer
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Senior Machine Learning Engineers at Thoughtworks build, maintain and test the architecture and infrastructure for managing machine learning applications. They are involved in supporting and contributing to the design of the end-to-end applications and products. They are responsible for building core capabilities including technical and functional machine learning systems and applications, being the anchor for functional streams of work and are accountable for timely delivery.
As a senior machine learning engineer, you will work on the latest tools, frameworks and offerings while also being involved in enabling credible and collaborative problem solving to execute on a strategy.
Job responsibilities
- You will contribute to design and drive the development of robust scalable architectures and infrastructure for deploying and managing machine learning (ML) applications, ensuring high availability, performance and security
- You will collaborate with data scientists and engineers to translate business needs into effective and efficient ML systems and applications
- You will own the development and maintenance of core functionalities within ML applications, including ML pipelines, model training and deployment, and monitoring and evaluation
- You will drive the functional stream of work by providing technical expertise, handling team discussions and ensuring timely delivery of assigned tasks
- You will stay ahead of the curve by actively exploring and implementing the latest tools, frameworks and offerings in the ML landscape
- You will facilitate collaborative problem solving within the team by actively listening, communicating effectively and mentoring other engineers
- You will contribute to the development and execution of the team's overall ML strategy, aligning technical capabilities with business objectives
- You will proactively identify and address challenges related to ML systems and applications, proposing solutions and implementing improvements
Job qualifications
Technical Skills
- You have experience in writing clean, maintainable and testable code, demonstrating attention to refactoring and readability of the code
- You are proficient in scripting languages such as Python or Shell for automation and task streamlining
- You have knowledge of distributed systems and scalable architectures to handle large-scale ML applications
- You have experience with building, deploying, and maintaining ML systems using relevant ML techniques and platforms, i.e.: Scikit-learn, Tensorflow, MLFlow, Kubeflow, Pytorch
- You have experience with building, deploying and maintaining ML systems and experience with application of MLOps principles and CI/CD to ML
- You have experience in machine learning engineering and data science, are familiar with key ML concepts, algorithms and frameworks, and understand ML model lifecycles
- You have experience with designing and operating the infrastructure required to run different types of ML training and serving workloads, i.e.: on-premise vs. cloud infrastructure, infrastructure as code, monitoring, etc.
- You have hands-on experience with on-premise and cloud services for building and deploying ML pipelines, i.e.: Azure, AWS, GCP or Databricks and associated ML managed services
Professional Skills
- You understand the importance of stakeholder management and can easily liaise between clients and other key stakeholders throughout projects, ensuring buy-in and gaining trust along the way
- You are resilient in ambiguous situations and can adapt your role to approach challenges from multiple perspectives
- You don’t shy away from risks or conflicts, instead you take them on and skillfully manage them
- You are eager to coach, mentor and motivate others and you aspire to influence teammates to take positive action and accountability for their work
- You enjoy influencing others and always advocate for technical excellence while being open to change when needed
Other things to know
Learning & Development
There is no one-size-fits-all career path at Thoughtworks: however you want to develop your career is entirely up to you. But we also balance autonomy with the strength of our cultivation culture. This means your career is supported by interactive tools, numerous development programs and teammates who want to help you grow. We see value in helping each other be our best and that extends to empowering our employees in their career journeys.
Travel
While we’ve traditionally been a traveling consultancy, we have adopted a hybrid working model with the majority of work being completed remotely from either home or local Thoughtworks offices. However, business travel to client locations should be expected when required by Thoughtworks or our clients’ needs.
Company Policies
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.
About Thoughtworks
Thoughtworks is a global technology consultancy that integrates strategy, design and engineering to drive digital innovation. For 30+ years, our clients have trusted our autonomous teams to build solutions that look past the obvious. Here, computer science grads come together with seasoned technologists, self-taught developers, midlife career changers and more to learn from and challenge each other. Career journeys flourish with the strength of our cultivation culture, which has won numerous awards around the world.
Join Thoughtworks and thrive. Together, our extra curiosity, innovation, passion and dedication overcomes ordinary.
#LI-Remote
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Apply to Referrals OnlyGlobal IT - Especialista em Segurança da Informação | Inglês Avançado - Remoto
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REQUISITOS MANDATÓRIOS
Experiência
• Mais de 4 anos de experiência em um ambiente global de operações de segurança corporativa.
• Mais de 5 anos de experiência prática com tecnologias de segurança de endpoints.
• Experiência na operação de ferramentas de segurança em ambientes multinacionais, com múltiplas localidades e grandes escritórios.
Habilidades Técnicas
Experiência prática com tecnologias de segurança de endpoints, incluindo:
• DLP (Microsoft 365 Compliance DLP, Palo Alto DLP).
• Antimalware/EDR (Palo Alto Cortex/Azure KQL).
• NAC, IDS/IPS.
• Familiaridade com plataformas SIEM e registro/monitoramento de segurança
• Experiência com ServiceNow, Atlassian ou ferramentas ITSM similares
• Conhecimento prático de plataformas em nuvem (AWS, Azure, GCP)
• Sólido conhecimento de programação segura, integração de sistemas e arquitetura de endpoints
DESCRIÇÃO TÉCNICA
Operações de Segurança de Endpoint
· Gerenciar e administrar soluções de segurança de endpoint corporativas, garantindo que as ferramentas sejam implantadas, configuradas, monitoradas e operem de forma eficaz.
· Administrar e aprimorar políticas, regras e padrões de segurança de endpoint em ambientes globais.
· Dar suporte e solucionar problemas de instalações e falhas de agentes de endpoint, incluindo escalonamento junto ao fornecedor quando necessário.
· Fornecer suporte de escalonamento para administradores juniores e equipes operacionais.
· Incidentes, Monitoramento e Colaboração.
· Interagir de perto com as equipes de SOC, Gerenciamento de Vulnerabilidades, Infraestrutura e Suporte a Desktops para gerenciar incidentes e conduzir a remediação.
· Apoiar a investigação e resolução de incidentes de segurança de endpoint, incluindo DLP, malware e violações de políticas.
· Colaborar com a equipe de SIEM para garantir que alertas, vulnerabilidades e tendências relacionadas a endpoints sejam analisados corretamente.
· Diagnosticar e solucionar problemas complexos em endpoints, servidores, softwares e dispositivos de comunicação.
Governança, Relatórios e Entrega
· Garantir que os problemas, riscos e não conformidades identificados sejam relatados, monitorados e corrigidos de forma eficaz.
· Desenvolver e entregar relatórios de segurança semanais, mensais, trimestrais e anuais.
· Apoiar auditorias, testes de penetração e acompanhamento de correções.
· Manter documentação clara e precisa para ferramentas, automação e processos.
· Engajamento de Stakeholders e Melhoria Contínua.
· Colaborar com fornecedores, stakeholders internos e usuários finais para coletar requisitos e aprimorar soluções.
· Equilibrar prioridades concorrentes, mantendo os compromissos com os stakeholders.
· Atuar como um colaborador técnico confiável em uma organização global de segurança.
· Manter-se atualizado sobre ferramentas de segurança emergentes, abordagens de automação e melhores práticas.
REQUISITOS DESEJÁVEIS
Certificações
• CISSP, CCSP, CISM, SSCP ou certificação de segurança equivalente
ATRIBUIÇÕES
• Familiaridade com plataformas SIEM e registro/monitoramento de segurança.
• Experiência com ServiceNow, Atlassian ou ferramentas ITSM similares.
• Conhecimento prático de plataformas em nuvem (AWS, Azure, GCP).
• Sólido conhecimento de programação segura, integração de sistemas e arquitetura de endpoints.
• Forte capacidade analítica, de resolução de problemas e de solução de incidentes.
• Capacidade de trabalhar eficazmente em equipe Ambientes de alta pressão.
• Excelentes habilidades de comunicação e gestão de stakeholders.
• Excelentes habilidades de organização com capacidade de realizar múltiplas tarefas sem perder a atenção aos detalhes.
• Capacidade de se adaptar rapidamente a novas tecnologias e áreas de projeto.
O Especialista em Segurança é um membro fundamental da função de Segurança da Informação Global, responsável pela gestão operacional diária da segurança de endpoints e controles de segurança associados em um ambiente corporativo global. A função combina operações práticas de segurança de endpoints com ferramentas de segurança e melhoria de processos, apoiando a proteção eficaz do ambiente da Capco em conformidade com a Estrutura de Políticas de Gestão da Informação. O cargo pode se reportar ao CISO ou ao Líder de Segurança designado e trabalha em estreita colaboração com as áreas de Operações de Segurança, Gestão de Vulnerabilidades, Infraestrutura e Suporte de TI para garantir que os controles de segurança operem de forma eficaz, que os problemas sejam identificados precocemente e que as correções sejam implementadas de forma consistente.
POR QUE CAPCO:
Juntar-se à Capco significa ingressar em uma organização comprometida com um ambiente de trabalho inclusivo onde você é incentivado a #BeYourselfAtWork (Ser Você Mesmo no Trabalho). Celebramos a individualidade e reconhecemos que a diversidade e a inclusão, em todas as formas, são fundamentais para o sucesso. Acreditamos que todos trazem algo diferente, por isso adoraríamos saber o que o torna diferente!
SOBRE A CAPCO:
Na Capco promovemos uma cultura inclusiva. Valorizamos a diversidade em todas as suas expressões.
Pensamos, em conjunto, sempre em ações diversas de inclusão e de responsabilidade social através de comitês internos geridos pela nossa comunidade interna, como os grupo de Mulheres, Pessoas Com Deficiência, Pessoas Negras, LGBTQIAPN+, Parentalidade, Gerações, entre outros.
Nossas oportunidades são trabalhadas para todos(as)!!!
#LifeAtCapco
PRÓXIMOS PASSOS:
- Se você está ansioso(a) para progredir sua carreira conosco, candidate-se e aguarde o contato de um de nossos recrutadores!
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Apply to Capco
Lead/Staff Machine Learning Engineer
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About us
Nu was born in 2013 with the mission to fight complexity to empower people in their daily lives by reinventing financial services. We are one of the world’s largest digital banking platforms, serving millions of customers across Brazil, Mexico, and Colombia. For more information, visit our institutional page https://international.nubank.com.br/careers/
ML Engineering at Nubank
Data Science is essential to every part of the business at Nubank, since Day 1. Most areas of the company use data science to some extent. ML Engineers are key to connecting ML models and ML-enabled systems to the rest of our infrastructure, while making sure that they work properly, delivering value to our customers.
As a Machine Learning Engineer, you’re expected to
- Interact with other team members to understand how to best apply data science and artificial intelligence to Nubank’s problems;
- Help monitor and maintain models and ML systems, making sure they are working well as measured by performance, operational and business metrics;
- Help deploy ML models both in batch and real-time scenarios. This may include building pipelines, constructing features and integrating models to other systems;
- Help build and maintain tooling and platforms to scale operations across multiple teams;
- Be familiar with modeling and statistics concepts;
Our ideal candidate
- Has extensive programming experience and is familiar with modern development techniques;
- Has experience creating, deploying and maintaining ML models and ML-enabled systems using modern frameworks;
- Understands the most common failure modes in ML-enabled systems and knows how to avoid and/or mitigate those;
- Is familiar with all stages of the ML model lifecycle, from inception to deployment and steady-state operation;
- Is familiar with cloud-based services from vendors such as AWS, GCP and Azure.
- Is familiar with software engineering and architecture principles and how they enable sustainable and maintainable systems;
- Is familiar with data engineering routines, pipelines and job scheduling frameworks;
- Is able to navigate complex mathematical and analytical environments when needed;
Our Benefits
- Chance of earning equity at Nubank
- Food/ Meal Card (Vale-Refeição and/or Vale Alimentação)
- Public Transportation Commuting Benefit (Vale-Transporte)
- NuCare – Psychological, Financial and Legal Assistance Program
- Life Insurance
- Medical Plan
- Dental Plan
- NuLanguage – Language Course Program
- Nucleo - Our learning platform of courses
- Extended Parental Leave
- Daycare Allowance
- Parental Consultancy
- Work-from-home Allowance
- Gym Partnerships
- 30 days of paid vacation
Work Model for this Role
Hybrid 2-3 times/week: Our hybrid work model brings us to the office at least twice a week, on strategic days designed to maximize team connection and collaboration. For more details, visit https://building.nubank.com/nu-hybrid-work-model/
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Staff Technical Solutions Engineer, Platform
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P-1412
Note: this is a hybrid role and requires ~3 days in the office in São Paulo-SP.
Job Overview:
We are seeking a highly skilled Frontline Senior Technical Solutions Engineer with over 10 years of experience to join our Platform Support team. This role is pivotal in delivering exceptional support for our Databricks Data Intelligence platform, addressing complex technical challenges, and ensuring the seamless operation of our data solutions. As a frontline engineer, you will be the primary point of contact for critical issues, working closely with both internal teams and customers to resolve high-impact problems and drive platform improvements.
Key Responsibilities:
- Frontline Support: Serve as the primary technical point of contact for escalated issues related to the Databricks Data Intelligence platform. Provide expert-level troubleshooting, diagnostics, and resolution for complex problems affecting system performance and reliability.
- Customer Interaction: Engage with customers directly to understand their technical issues and requirements. Provide timely, clear, and actionable solutions to ensure high levels of customer satisfaction.
- Incident Management: Lead the resolution of high-priority incidents, coordinating with various teams to address and mitigate issues swiftly. Conduct thorough root cause analyses and develop preventive measures to avoid recurrence.
- Collaboration: Work closely with engineering, product management, and DevOps teams to share insights, identify recurring issues, and drive improvements to the Databricks Data Intelligence platform.
- Documentation and Knowledge Sharing: Create and maintain detailed documentation on support procedures, known issues, and solutions. Contribute to internal knowledge bases and create training materials to assist other support engineers.
- Performance Monitoring: Monitor and analyze platform performance metrics to identify potential issues before they impact customers. Implement optimizations and enhancements to improve platform stability and efficiency.
- Platform Upgrades: Manage and oversee the deployment of Databricks Data Intelligence platform upgrades and patches, ensuring minimal disruption to services and maintaining system integrity.
- Innovation and Improvement: Stay abreast of industry trends and advancements in Databricks technology. Propose and drive initiatives to enhance platform capabilities and support processes.
- Customer Feedback: Collect and analyze customer feedback to drive continuous improvement in support processes and platform features.
Qualifications:
- Experience: Minimum of 8 years of hands-on experience in a technical support or engineering role related to Databricks Data Intelligence platform, cloud data platforms, or big data technologies.
- Technical Skills: A deep understanding of Databricks architecture and Apache Spark™, along with experience in cloud platforms like AWS, Azure, or GCP, is essential. Strong capabilities in designing and managing data pipelines, distributed computing are required. Proficiency in Unix/Linux administration, familiarity with DevOps practices, and skills in log analysis and monitoring tools are also crucial for effective troubleshooting and system optimization.
- Problem-Solving: Demonstrated ability to diagnose and resolve complex technical issues with a strong analytical and methodical approach.
- Communication: Exceptional verbal and written communication skills, with the ability to effectively convey technical information to both technical and non-technical stakeholders.
- Customer Focus: Proven experience in managing high-impact customer interactions and ensuring a positive customer experience.
- Collaboration: Ability to work effectively in a team environment, collaborating with engineering, product, and customer-facing teams.
- Education: Bachelor’s degree in Computer Science, Engineering, or a related field. Advanced degree or relevant certifications are highly desirable.
Preferred Skills:
- Experience with additional big data tools and technologies such as Hadoop, Kafka, or NoSQL databases.
- Familiarity with automation tools and CI/CD pipelines.
- Understanding of data governance and compliance requirements.
Why Join Us?
- Innovative Environment: Work with cutting-edge technology in a fast-paced, innovative company.
- Career Growth: Opportunities for professional development and career advancement.
- Team Culture: Collaborate with a talented and motivated team dedicated to excellence and continuous improvement.
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Ready to apply?
Apply to Databricks
Sr Technical Escalations Manager
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P-1520
Sr. Technical Escalation Manager
Note: this is a hybrid role and requires ~3 days in the office in São Paulo-SP.
At Databricks, we are passionate about empowering data teams to tackle the world’s most challenging problems — from bringing the next mode of transportation to reality to accelerating the development of medical breakthroughs. We achieve this by building and operating the world’s leading data and AI infrastructure platform, enabling our customers to leverage deep data insights and enhance their business. Founded by engineers — and customer-obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.
As a Technical Escalation Manager, you will be responsible for coordinating efforts to resolve critical customer issues, customer-impacting situations, and major incidents. You will work with multiple internal teams (engineering, product management, Customer Success Engineering, and Support) and external partners to effectively resolve these customer-impacting situations.
The impact you will have here:
- Manage support escalation in partnership with engineering, product management, Customer Success Engineering, Support, Customers, and Partners until resolution.
- Achieve customer satisfaction by ensuring incidents or escalations (and related cases) are well and fully documented with the timely execution of action items.
- Create and execute a data-driven customer recovery plan for every escalation and incident that is addressed.
- Utilize business and technical skills to manage customer escalations, coordinate meetings and deliverables, and analyze trends and patterns for reporting purposes.
- Use data, metrics, and feedback to inform operational and tactical decisions that improve incident and escalation management.
- Coordinate all necessary resources to fast-track and resolve new incidents and escalations from customers with a clear and detailed plan.
What are we looking for?
- A minimum of 5 years of experience in customer support, escalation, SRE, or incident management is required.
- Excellent contextual interpretation and writing skills, as well as the ability to effectively summarize and communicate to both technical and business audiences.
- Experience with a "Distributed big data Computing" environment, SQL-based databases, as well as data warehousing and ETL technologies such as Informatica, DataStage, Oracle, Teradata, SQL Server, and MySQL.
- Linux/Unix administration skills, networking, and Hands-on Cloud experience with AWS, Azure, or GCP are required.
- Experience working cross-functionally with support, engineering, product management, and directly with customers; ability to deeply understand product and customer personas.
- BS or Master's, or PhD in Computer Science or Computer Engineering, or related Engineering field.
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Ready to apply?
Apply to Databricks
Scale Solutions Engineer
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The impact you will have:
- You will ensure new customers have an excellent experience by providing technical assistance early in their journey
- You will become an expert on the Databricks Platform and guide customers in making the best technical decisions
- You will work directly with multiple customers concurrently to provide technical solutions.
- Undergraduate degree or higher in Computer Science, Information Systems, or relevant experience
- 3+ years experience in a customer-facing technical role in pre-sales, professional services, consulting or customer success.
- Experience in one or more of the following:
- Solid understanding of the end to end data analytics workflow
- Excellent time management and prioritization skills
- Knowledge of public cloud platforms AWS, Azure or GCP would be a plus
- Knowledge of a programming language - Python, Scala, or SQL
- Knowledge of end-to-end data analytics workflow
- Hands-on professional or academic experience in one or more of the following:
- Data Engineering technologies (e.g., ETL, DBT, Spark, Airflow)
- Data Warehousing technologies (e.g., SQL, Stored Procedures, Redshift, Snowflake)
- Excellent time management and prioritization skills
- Excellent written and verbal communication, in English and Portuguese
- Bonus
- Knowledge of Data Science and Machine Learning (e.g., build and deploy ML Models).
- Databricks certification(s)
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Ready to apply?
Apply to Databricks
Sr Data & AI Technical Solutions Engineer
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P-993
Mission
As a Data & AI Technical Solutions Engineer, you play a critical role by helping customers debug and maintain stable production data pipelines, AI workflows, and more using the Databricks platform. You will develop product expertise in a couple of areas by advising a broad set of customers and use cases across those technologies. You will collaborate with other teams at Databricks to deliver an excellent customer experience - whether that’s product engineering teams or technical account team members. TSE’s have proven production troubleshooting and optimization experience to help our customers’ workloads run smoothly and to achieve their strategic objectives using the Databricks’ platform. Reporting to a TSE manager - you will be part of a world class global support engineering organization for Databricks, known for your technical depth and delivering impeccable customer service.
The impact you will have:
- Be the first point of contact for customer production issues - provide initial analysis, troubleshooting, and resolution for data engineering and AI workloads.
- Deep Dive into code-level analysis of customer workloads to address issues related to Databricks products - including Spark core internals, Spark SQL, Delta, DLT, and Model Serving.
- Provide excellent customer support - be knowledgeable and empathetic in customer communications over email and video, act with a sense of urgency to find mitigations and solutions, diffuse escalations during incidents and be proactive at helping prevent future customer problems.
- Help make the Databricks products simpler to use and customer production environments more stable - such as through coordinating with Engineering and Backline Support teams to identify areas for product improvements.
- Develop expertise in productionizing systems in Databricks and share your knowledge by contributing to wikis and other technical documentation to be used internally or externally by customers and partners.
What we look for:
- Minimum of 6 years of experience in designing, building, testing, and maintaining Python/Java/Scala based applications in typical project delivery and consulting environments.
- Experience with SQL databases or data warehouses (such as Oracle, Teradata, SQL Server, MySQL) and ETL technologies (such as Informatica, DataStage, Talend, Fivetran).
- 3 years of hands-on experience in developing two or more Big Data technologies such as Spark & Hadoop, Lakehouse architecture - such as Delta, Data Ingestion, Data Streaming applications, or ML/AI applications for industry use cases.
- Hands-on experience in performance tuning and troubleshooting of Data and AI applications at production scale - including query optimization, memory management, garbage collection, and heap/thread dump analysis.
- Prior Support or customer facing experience is not required for this role, but the ability and desire to develop excellent customer service skills is.
- Preferrable: Hands-on experience with public cloud (AWS or Azure or GCP).
- Technical degree or the equivalent experience.
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Ready to apply?
Apply to Databricks
Senior Security Engineer (GRC)
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About us
Nubank was founded in 2013 with the mission of fighting complexity to empower people in their daily lives by reinventing financial services. Today, we are one of the largest digital banking platforms in the world, serving millions of customers across Brazil, Mexico, and Colombia. For more information, visit our careers page: https://international.nubank.com.br/careers/
About the team
The Governance, Risk and Compliance (GRC) team enables Nubank to remain compliant with legal, regulatory, and internal requirements, while continuously identifying, classifying, and monitoring risks and providing strategic insights and performance evaluation to leadership.
The GRC squad collaborates with multidisciplinary teams to align our technology security strategy with Nubank’s overall business objectives, ensuring that identified risks are mitigated and that risk-based decision-making is enabled within and beyond the IT & Security Business Unit.
About the role
You will be responsible for acting as a technical reference in security, certifications, and internal controls, serving as a bridge between engineering, risk, audit, and business stakeholders.
You will define strategies, support risk-based decision-making, and ensure that security and compliance requirements are effectively embedded into processes, systems, and products.
Key responsibilities
- Act as a senior technical and governance reference across security, certifications, risk, and internal controls, influencing strategy.
- Identify control gaps and improvement opportunities in technical procedures required for certification and recertification processes (e.g., ISO 27001, PCI-DSS).
- Develop and maintain strong partnerships with business and technical leaders to orchestrate audits, assessments, and remediation plans in a risk-based and scalable way.
- Collaborate with technical teams to define action plans that ensure adherence to regulatory requirements and internal policies.
- Conduct assessments of internal controls, ensuring adherence to internal policies, legal requirements, and industry standards.
- Identify gaps and improvement opportunities in the internal controls landscape and lead control reviews, ensuring timely resolution of issues.
- Work closely with Risk teams to align on the mitigation of identified risks.
- Support responses to audit requests, regulatory inquiries, and due diligence from business partners.
- Partner with Engineering, Product, IT, and global teams to integrate compliance and security requirements into processes and systems.
- Define and monitor KRIs and KPIs, delivering forward-looking, data-driven insights to senior management and Committees.
- Drive continuous improvement and scale, simplifying processes and strengthening Nubank’s Security Maturity as the company grows globally.
Qualification Requirements
- Solid experience in information security, with strong knowledge of frameworks such as PCI-DSS, ISO 27000 family, NIST, and similar.
- Prior experience with security certification processes and/or internal controls, compliance, and audit support.
- Excellent executive communication skills, capable of translating complex topics into clear, actionable insights for senior leadership and committees.
- Experience operating in regulated and global environments, including interaction with auditors and regulators.
- Bachelor’s degree in Engineering, Technology, Security Information, Risk Management or related fields.
- Familiarity with using AI and automation (e.g., machine learning, generative AI, or LLM-based tooling) to enhance security compliance use cases.
- Knowledge of the regulatory landscape relevant to financial services, such as SOx, BACEN, CVM, CNBV, ANBIMA, SEC, and related regulations.
- Hands-on experience with cloud environments (e.g., AWS, GCP) and implementing security controls in these contexts.
- Advanced English (written and verbal) required.
Nice to have Requirements
- Relevant certifications such as CRISC, CISA, Security+, CISSP, or CISM are considered a strong plus.
International experience is highly desirable.
Our Benefits
- Chance of earning equity at Nubank
- Food/ Meal Card (Vale-Refeição and/or Vale Alimentação)
- Public Transportation Commuting Benefit (Vale-Transporte)
- NuCare – Psychological, Financial and Legal Assistance Program
- Life Insurance
- Medical Plan
- Dental Plan
- NuLanguage – Language Course Program
- Nucleo - Our learning platform of courses
- Extended Parental Leave
- Daycare Allowance
- Parental Consultancy
- Work-from-home Allowance
- Gym Partnerships
- 30 days of paid vacation
- Relocation Assistance Package, if applicable
Work Model for this Role
Hybrid 2-3 times/week: Our hybrid work model brings us to the office at least twice a week, on strategic days designed to maximize team connection and collaboration. For more details, visit https://building.nubank.com/nu-hybrid-work-model/
Ready to apply?
Apply to Nubank
Lead Security Engineer (GRC)
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About us
Nubank was founded in 2013 with the mission of fighting complexity to empower people in their daily lives by reinventing financial services. Today, we are one of the largest digital banking platforms in the world, serving millions of customers across Brazil, Mexico, and Colombia. For more information, visit our careers page: https://international.nubank.com.br/careers/
About the team
The Governance, Risk and Compliance (GRC) team enables Nubank to remain compliant with legal, regulatory, and internal requirements, while continuously identifying, classifying, and monitoring risks and providing strategic insights and performance evaluation to leadership.
The GRC squad collaborates with multidisciplinary teams to align our technology security strategy with Nubank’s overall business objectives, ensuring that identified risks are mitigated and that risk-based decision-making is enabled within and beyond the IT & Security Business Unit.
About the role
You will be responsible for acting as a technical reference in security, certifications, and internal controls, serving as a bridge between engineering, risk, audit, and business stakeholders.
You will define strategies, support risk-based decision-making, and ensure that security and compliance requirements are effectively embedded into processes, systems, and products.
Key responsibilities
- Act as a senior technical and governance reference across security, certifications, risk, and internal controls, influencing strategy.
- Identify control gaps and improvement opportunities in technical procedures required for certification and recertification processes (e.g., ISO 27001, PCI-DSS).
- Develop and maintain strong partnerships with business and technical leaders to orchestrate audits, assessments, and remediation plans in a risk-based and scalable way.
- Collaborate with technical teams to define action plans that ensure adherence to regulatory requirements and internal policies.
- Conduct assessments of internal controls, ensuring adherence to internal policies, legal requirements, and industry standards.
- Identify gaps and improvement opportunities in the internal controls landscape and lead control reviews, ensuring timely resolution of issues.
- Work closely with Risk teams to align on the mitigation of identified risks.
- Support responses to audit requests, regulatory inquiries, and due diligence from business partners.
- Partner with Engineering, Product, IT, and global teams to integrate compliance and security requirements into processes and systems.
- Define and monitor KRIs and KPIs, delivering forward-looking, data-driven insights to senior management and Committees.
- Drive continuous improvement and scale, simplifying processes and strengthening Nubank’s Security Maturity as the company grows globally.
Qualification Requirements
- Solid experience in information security, with strong knowledge of frameworks such as PCI-DSS, ISO 27000 family, NIST, and similar.
- Prior experience with security certification processes and/or internal controls, compliance, and audit support.
- Excellent executive communication skills, capable of translating complex topics into clear, actionable insights for senior leadership and committees.
- Experience operating in regulated and global environments, including interaction with auditors and regulators.
- Bachelor’s degree in Engineering, Technology, Security Information, Risk Management or related fields.
- Familiarity with using AI and automation (e.g., machine learning, generative AI, or LLM-based tooling) to enhance security compliance use cases.
- Knowledge of the regulatory landscape relevant to financial services, such as SOx, BACEN, CVM, CNBV, ANBIMA, SEC, and related regulations.
- Hands-on experience with cloud environments (e.g., AWS, GCP) and implementing security controls in these contexts.
- Advanced English (written and verbal) required.
Nice to have Requirements
- Relevant certifications such as CRISC, CISA, Security+, CISSP, or CISM are considered a strong plus.
International experience is highly desirable.
Our Benefits
- Chance of earning equity at Nubank
- Food/ Meal Card (Vale-Refeição and/or Vale Alimentação)
- Public Transportation Commuting Benefit (Vale-Transporte)
- NuCare – Psychological, Financial and Legal Assistance Program
- Life Insurance
- Medical Plan
- Dental Plan
- NuLanguage – Language Course Program
- Nucleo - Our learning platform of courses
- Extended Parental Leave
- Daycare Allowance
- Parental Consultancy
- Work-from-home Allowance
- Gym Partnerships
- 30 days of paid vacation
- Relocation Assistance Package, if applicable
Work Model for this Role
Hybrid 2-3 times/week: Our hybrid work model brings us to the office at least twice a week, on strategic days designed to maximize team connection and collaboration. For more details, visit https://building.nubank.com/nu-hybrid-work-model/
Ready to apply?
Apply to Nubank
A Capco é uma consultoria global de tecnologia e negócios, focada no setor de serviços financeiros e energia, somos apaixonados por ajudar nossos clientes, temos 40 escritórios nas Américas, Europa e Ásia-Pacífico! Se criatividade e inovação são sua paixão, a Capco é ideal para você. Vamos te apoiar e ajudar a acelerar sua carreira!
Estamos procurando um Desenvolvedor Java Sênior com experiência em Spring Boot para atuar na construção e manutenção de aplicações backend escaláveis, seguras e de alto desempenho. O profissional fará parte de um time ágil, contribuindo para o desenvolvimento de soluções robustas para nossos clientes.
Principais Atividades:
- Desenvolver e manter APIs e microsserviços utilizando Java + Spring Boot
- Projetar, implementar e otimizar funcionalidades para aplicações backend
- Integrar serviços com bancos de dados SQL e NoSQL
- Participar da definição de arquitetura e boas práticas de desenvolvimento
- Escrever testes unitários e de integração (JUnit, Mockito)
- Realizar code reviews e colaborar com o time para melhoria contínua
- Trabalhar com Docker e Kubernetes para deploy e escalabilidade
- Garantir segurança e desempenho nas aplicações
Requisitos:
- Mais de 7 anos de experiência
- Experiência comprovada em desenvolvimento com Java 8+
- Sólido conhecimento em Spring Framework (Spring Boot, Spring Data, Spring Security)
- Experiência com APIs RESTful
- Familiaridade com JPA/Hibernate
- Experiência com bancos de dados PostgreSQL, MySQL ou MongoDB
- Versionamento com Git
- Conhecimento em mensageria (RabbitMQ, Kafka)
- Experiência com testes automatizados
- Boas práticas de Clean Code e SOLID
- Graduação em TI ou áreas relacionadas
- Inglês avançado/fluente (será avaliado em entrevista) - Eliminatório.
Diferenciais
- Experiência com AWS, Azure ou GCP
- Conhecimento em CI/CD (Jenkins, GitLab CI)
- Experiência com arquitetura de microsserviços
- Conhecimento em ferramentas de infraestrutura como código (Terraform)
- Certificação em Java ou Cloud
Por que a Capco:
Na Capco, promovemos uma cultura inclusiva. Valorizamos a diversidade em todas as suas expressões. Pensamos, em conjunto, sempre em ações diversas de inclusão e de responsabilidade social através de comitês internos geridos pela nossa comunidade, como os grupo de Mulheres, Pessoas Com Deficiência, Pessoas Negras, LGBTQIAPN+, Parentalidade, Gerações, entre outros. Juntar-se à Capco significa ingressar em uma organização comprometida com um ambiente de trabalho inclusivo onde você é incentivado a #BeYourselfAtWork (Ser Você Mesmo no Trabalho). Celebramos a individualidade e reconhecemos que a diversidade e a inclusão, em todas as formas, são fundamentais para o sucesso. Acreditamos que todos trazem algo diferente, por isso adoraríamos saber o que o torna diferente! #LifeAtCapco
Juntar-se à Capco significa ingressar em uma organização comprometida com um ambiente de trabalho inclusivo onde você é incentivado a #BeYourselfAtWork (Ser Você Mesmo no Trabalho). Celebramos a individualidade e reconhecemos que a diversidade e a inclusão, em todas as formas, são fundamentais para o sucesso. Acreditamos que todos trazem algo diferente, por isso adoraríamos saber o que o torna diferente!
Próximos Passos:
O objetivo da Capco é conduzir um processo flexível e alinhado às necessidades de cada oportunidade e talento.
- Etapa 1: Entrevista comportamental.
- Etapa 2: Entrevista técnica.
- Etapa 3: Conversa com time de Projeto/ Delivery.
- Etapa 4: Conversa com cliente.
- Etapa 5: Proposta ou feedback.
As etapas do nosso processo seletivo descritas são essenciais para garantir uma avaliação completa e assertiva. Contudo, elas podem ser ajustadas dependendo da senioridade do(a) candidato(a), da área de atuação e do formato do projeto.
Ready to apply?
Apply to CapcoAt Braze, we have found our people. We’re a genuinely approachable, exceptionally kind, and intensely passionate crew.
We seek to ignite that passion by setting high standards, championing teamwork, and creating work-life harmony as we collectively navigate rapid growth on a global scale while striving for greater equity and opportunity – inside and outside our organization.
To flourish here, you must be prepared to set a high bar for yourself and those around you. There is always a way to contribute: Acting with autonomy, having accountability and being open to new perspectives are essential to our continued success.
Our deep curiosity to learn and our eagerness to share diverse passions with others gives us balance and injects a one-of-a-kind vibrancy into our culture.
If you are driven to solve exhilarating challenges and have a bias toward action in the face of change, you will be empowered to make a real impact here, with a sharp and passionate team at your back. If Braze sounds like a place where you can thrive, we can’t wait to meet you.
WHAT YOU'LL DO
As our customer base continues to grow with the excitement around BrazeAI, we’re expanding our team! Join our Forward-Deployed Data Scientist group of creative technical experts who partner with customers to ensure their success. In this role, you will:
- Collaborate with customer Analytics/BI teams and Braze colleagues on implementations, including use case definition, data integration, pipeline setup, and ML model configuration
- Extend product capabilities by improving architecture and developing reusable data pipelines, APIs, and components
- Work closely with the RL pipeline development team to refine and advance our reinforcement learning (self-learning) algorithms
- Contribute to shaping BrazeAI product strategy and roadmap through customer-facing insights and technical expertise
- Provide ongoing technical expertise to ensure successful adoption, measurable outcomes, and long-term customer success
WHO YOU ARE
- Education: Bachelor’s degree in Computer Science, Data Science, Mathematics, Engineering, or a related field required; Master’s or PhD in a relevant technical discipline preferred
- Experience: 3–5+ years of hands-on experience as a Data Scientist, Machine Learning Engineer, or similar role working with large-scale data and production environments. Experience in customer-facing or consulting roles is strongly preferred
- Strong technical expertise: proficient in Python (Pandas) and core ML libraries (TensorFlow, Keras, scikit-learn, CatBoost, XGBoost). Skilled in SQL for querying/manipulating datasets, with experience in machine learning pipelines and model deployment
- Engineering best practices: you write well-structured, modular, documented code; follow strong development practices (Git, CI/CD, testing frameworks, type-hinting, code reviews); and can build scalable, maintainable solutions
- Nice-to-have skills: experience with DevOps tools (Airflow, Kubernetes, Terraform, GCP), data integration/ETL, and pipeline optimization, or reinforcement learning algorithms
- Customer collaborator: comfortable working directly with clients and cross-functional teams, aligning stakeholders, and translating technical concepts into clear business value
- Entrepreneurial problem-solver: you identify opportunities and risks early, troubleshoot obstacles, and drive creative solutions
- Continuous learner: you stay current with industry trends, explore new tools/technologies, and thrive in environments that push you to grow
- Clear communicator: able to explain complex technical ideas persuasively to both technical and non-technical audiences
WHAT WE OFFER
Braze benefits vary by location, and we encourage you to review our specific benefits offerings for each country here. More details on benefits plans will be provided if you receive an offer of employment.
From offering comprehensive benefits to fostering hybrid ways of working, we’ve got you covered so you can prioritize work-life harmony. Braze offers benefits such as:
- Competitive compensation that may include equity
- Retirement and Employee Stock Purchase Plans
- Flexible paid time off
- Comprehensive benefit plans covering medical, dental, vision, life, and disability
- Family services that include fertility benefits and equal paid parental leave
- Professional development supported by formal career pathing, learning platforms, and a yearly learning stipend
- A curated in-office employee experience, designed to foster community, team connections, and innovation
- Opportunities to give back to your community, including an annual company-wide Volunteer Week and donation matching
- Employee Resource Groups that provide supportive communities within Braze
- Collaborative, transparent, and fun culture recognized as a Great Place to Work®
ABOUT BRAZE
Braze is the leading customer engagement platform that empowers brands to Be Absolutely Engaging.™ Braze helps brands deliver great customer experiences that drive value both for consumers and for their businesses. Built on a foundation of composable intelligence, BrazeAI™ allows marketers to combine and activate AI agents, models, and features at every touchpoint throughout the Braze Customer Engagement Platform for smarter, faster, and more meaningful customer engagement. From cross-channel messaging and journey orchestration to Al-powered decisioning and optimization, Braze enables companies to turn action into interaction through autonomous, 1:1 personalized experiences.
The company has repeatedly been recognized as a Leader in marketing technology by industry analysts, and was voted a G2 “Best of Marketing and Digital Advertising Software Product” in 2025.
Braze was also named a 2025 Best Companies To Work For by U.S. News & World Report, a 2025 America’s Greatest Companies by Newsweek, and a 2025 Fortune Best Workplace in Technology™ by Great Place To Work®, among other accolades. Braze is also proudly certified as a Great Place to Work® in the U.S., the UK, Australia, and Singapore.
The company is headquartered in New York with offices in Austin, Berlin, Bucharest, Chicago, Dubai, Jakarta, London, Paris, San Francisco, São Paulo, Singapore, Seoul, Sydney and Tokyo.
At Braze, we strive to create equitable growth and opportunities inside and outside the organization.
Building meaningful connections is at the heart of everything we do, and that includes our recruiting practices. We're committed to offering all candidates a fair, accessible, and inclusive experience – regardless of age, color, disability, gender identity, marital status, maternity, national origin, pregnancy, race, religion, sex, sexual orientation, or status as a protected veteran. When applying and interviewing with Braze, we want you to feel comfortable showcasing what makes you you.
We know that sometimes different circumstances can lead talented people to hesitate to apply for a role unless they meet 100% of the criteria. If this sounds familiar, we encourage you to apply, as we’d love to meet you.
Please see our Candidate Privacy Policy for more information on how Braze processes your personal information during the recruitment process and, if applicable based on your location, how you can exercise any privacy rights.Ready to apply?
Apply to Braze
About Us
Nu is one of the largest digital financial platforms in the world, with more than 127 million customers across Brazil, Mexico, and Colombia. Guided by our mission to fight complexity and empower people, we are redefining financial services in Latin America and this is still just the beginning of the purple future we're building.
Listed on the New York Stock Exchange (NYSE: NU), we combine proprietary technology, data intelligence, and an efficient operating model to deliver financial products that are simple, accessible, and human.
Our impact has been recognized by global rankings such as Time 100 Companies, Fast Company’s Most Innovative Companies, and Forbes World’s Best Bank. Visit our institutional page https://international.nubank.com.br/careers/
About the role
At Nubank, protecting customer data is a foundational element of our relationship with over 100 million users. As a Data Security Analytics Engineer, you will be responsible for designing and evolving the secure infrastructure that allows our teams to innovate at scale while maintaining the highest standards of privacy and compliance. You will lead the integration between Data Engineering and Security, ensuring that sensitive data is classified, governed, and monitored across our global analytics environment. Your mission is to balance risk reduction with high usability and performance, ensuring that data security is embedded by design in every pipeline and analytical layer.
You'll be responsible for
- Designing Secure Data Architectures: Independently build and evolve secure data ingestion, transformation, and analytics pipelines that support sensitive and regulated data across all analytics environments.
- Implementing Platform-Level Security: Drive the rollout of improvements such as classification tags, policy-driven access controls, and automated validations to reduce risk without compromising system performance.
- Governing Data Models: Own the design and evolution of data models and semantic views that enforce security and privacy requirements by default.
- Operationalizing Metadata and Lineage: Lead initiatives to track data lineage and sensitivity metadata across critical sources, enabling scalable governance and observability.
- Executing Audits and Remediation: Actively lead access reviews and remediation efforts, identifying gaps in least-privilege enforcement and proposing structural improvements.
- Monitoring and Detection: Design and maintain dashboards, logs, and alerts to detect anomalous data access, misuse patterns, or risky joins across analytics workloads.
- Incident Response and Investigation: Investigate complex access anomalies or security incidents, performing root cause analysis and proposing preventive controls in collaboration with Security Engineering and Data Platform teams.
- Building Internal Tooling: Maintain and develop tooling that enables secure data usage at scale, such as permission helpers and metadata validation frameworks.
We are looking for a person who has
- Data Engineering Expertise: Solid understanding of ETL/ELT fundamentals, data warehouses, and distributed systems such as BigQuery, Databricks, Kafka, or Redshift.
- Security Control Implementation: Strong working knowledge of encryption, masking, tokenization, classification, and fine-grained access control (RBAC/ABAC).
- Advanced Analytical Skills: High proficiency in SQL and experience designing analytical data models with a focus on performance, correctness, and sensitive data handling.
- Production-Grade Programming: Proficiency in writing maintainable and testable code in at least one language, such as Python, Scala, Clojure, or Go.
- Infrastructure and DevOps Knowledge: Familiarity with CI/CD pipelines, Infrastructure as Code, and containerized environments like Docker and Kubernetes.
- Data Observability: Experience in surfacing actionable metrics and logs for security monitoring and incident investigation.
- Strategic Communication: Ability to translate security and regulatory requirements into concrete engineering solutions while engaging with technical and non-technical stakeholders.
- Cloud Proficiency: Exposure to cloud security practices in large-scale environments, specifically AWS or GCP.
Location for this opportunity (City, Country)
- São Paulo, Brazil
- Campinas, Brazil
- Rio de Janeiro, Brazil
- Belo Horizonte, Brazil
Our Benefits
- Chance of earning equity at Nubank
- Food/ Meal Card (Vale-Refeição and/or Vale Alimentação)
- Public Transportation Commuting Benefit (Vale-Transporte)
- NuCare – Psychological, Financial and Legal Assistance Program
- Life Insurance
- Medical Plan
- Dental Plan
- NuLanguage – Language Course Program
- Nucleo - Our learning platform of courses
- Extended Parental Leave
- Daycare Allowance
- Parental Consultancy
- Work-from-home Allowance
- Gym Partnerships
- 30 days of paid vacation
- Relocation Assistance Package, if applicable
Work Model for this Role
Option 1: Hybrid 2-3 times/week: Our hybrid work model brings us to the office at least twice a week, on strategic days designed to maximize team connection and collaboration. For more details, visit https://building.nubank.com/nu-hybrid-work-model/
Ready to apply?
Apply to Nubank
At Braze, we have found our people. We’re a genuinely approachable, exceptionally kind, and intensely passionate crew.
We seek to ignite that passion by setting high standards, championing teamwork, and creating work-life harmony as we collectively navigate rapid growth on a global scale while striving for greater equity and opportunity – inside and outside our organization.
To flourish here, you must be prepared to set a high bar for yourself and those around you. There is always a way to contribute: Acting with autonomy, having accountability and being open to new perspectives are essential to our continued success.
Our deep curiosity to learn and our eagerness to share diverse passions with others gives us balance and injects a one-of-a-kind vibrancy into our culture.
If you are driven to solve exhilarating challenges and have a bias toward action in the face of change, you will be empowered to make a real impact here, with a sharp and passionate team at your back. If Braze sounds like a place where you can thrive, we can’t wait to meet you.
WHAT YOU’LL DO
As our customer base continues to grow with the excitement around BrazeAI, we’re expanding our team! Join our Forward-Deployed Data Scientist group of creative technical experts who partner with customers to ensure their success. In this role, you will:
- Collaborate with customer Analytics/BI teams and Braze colleagues on implementations, including use case definition, data integration, pipeline setup, and ML model configuration
- Extend product capabilities by improving architecture and developing reusable data pipelines, APIs, and components
- Work closely with the RL pipeline development team to refine and advance our reinforcement learning (self-learning) algorithms
- Contribute to shaping BrazeAI's product strategy and roadmap through customer-facing insights and technical expertise
- Provide ongoing technical expertise to ensure successful adoption, measurable outcomes, and long-term customer success
WHO YOU ARE
- Education: Bachelor’s degree in Computer Science, Data Science, Mathematics, Engineering, or a related field required; Master’s or PhD in a relevant technical discipline preferred
- Experience: 3–5+ years of hands-on experience as a Data Scientist, Machine Learning Engineer, or similar role working with large-scale data and production environments. Experience in customer-facing or consulting roles is strongly preferred
- Strong technical expertise: Proficient in Python (Pandas) and core ML libraries (TensorFlow, Keras, scikit-learn, CatBoost, XGBoost). Skilled in SQL for querying/manipulating datasets, with experience in machine learning pipelines and model deployment
- Engineering best practices: You write well-structured, modular, documented code; follow strong development practices (Git, CI/CD, testing frameworks, type-hinting, code reviews); and can build scalable, maintainable solutions
- Nice-to-have skills: Experience with DevOps tools (Airflow, Kubernetes, Terraform, GCP), data integration/ETL and pipeline optimization, or reinforcement learning algorithms
- Customer collaborator: Comfortable working directly with clients and cross-functional teams, aligning stakeholders, and translating technical concepts into clear business value
- Entrepreneurial problem-solver: You identify opportunities and risks early, troubleshoot obstacles, and drive creative solutions
- Continuous learner: You stay current with industry trends, explore new tools/technologies, and thrive in environments that push you to grow
- Clear communicator: Able to explain complex technical ideas persuasively to both technical and non-technical audiences
WHAT WE OFFER
Braze benefits vary by location, and we encourage you to review our specific benefits offerings for each country here. More details on benefits plans will be provided if you receive an offer of employment.
From offering comprehensive benefits to fostering hybrid ways of working, we’ve got you covered so you can prioritize work-life harmony. Braze offers benefits such as:
- Competitive compensation that may include equity
- Retirement and Employee Stock Purchase Plans
- Flexible paid time off
- Comprehensive benefit plans covering medical, dental, vision, life, and disability
- Family services that include fertility benefits and equal paid parental leave
- Professional development supported by formal career pathing, learning platforms, and a yearly learning stipend
- A curated in-office employee experience, designed to foster community, team connections, and innovation
- Opportunities to give back to your community, including an annual company-wide Volunteer Week and donation matching
- Employee Resource Groups that provide supportive communities within Braze
- Collaborative, transparent, and fun culture recognized as a Great Place to Work®
ABOUT BRAZE
Braze is the leading customer engagement platform that empowers brands to Be Absolutely Engaging.™ Braze helps brands deliver great customer experiences that drive value both for consumers and for their businesses. Built on a foundation of composable intelligence, BrazeAI™ allows marketers to combine and activate AI agents, models, and features at every touchpoint throughout the Braze Customer Engagement Platform for smarter, faster, and more meaningful customer engagement. From cross-channel messaging and journey orchestration to Al-powered decisioning and optimization, Braze enables companies to turn action into interaction through autonomous, 1:1 personalized experiences.
The company has repeatedly been recognized as a Leader in marketing technology by industry analysts, and was voted a G2 “Best of Marketing and Digital Advertising Software Product” in 2025.
Braze was also named a 2025 Best Companies To Work For by U.S. News & World Report, a 2025 America’s Greatest Companies by Newsweek, and a 2025 Fortune Best Workplace in Technology™ by Great Place To Work®, among other accolades. Braze is also proudly certified as a Great Place to Work® in the U.S., the UK, Australia, and Singapore.
The company is headquartered in New York with offices in Austin, Berlin, Bucharest, Chicago, Dubai, Jakarta, London, Paris, San Francisco, São Paulo, Singapore, Seoul, Sydney and Tokyo.
At Braze, we strive to create equitable growth and opportunities inside and outside the organization.
Building meaningful connections is at the heart of everything we do, and that includes our recruiting practices. We're committed to offering all candidates a fair, accessible, and inclusive experience – regardless of age, color, disability, gender identity, marital status, maternity, national origin, pregnancy, race, religion, sex, sexual orientation, or status as a protected veteran. When applying and interviewing with Braze, we want you to feel comfortable showcasing what makes you you.
We know that sometimes different circumstances can lead talented people to hesitate to apply for a role unless they meet 100% of the criteria. If this sounds familiar, we encourage you to apply, as we’d love to meet you.
Please see our Candidate Privacy Policy for more information on how Braze processes your personal information during the recruitment process and, if applicable based on your location, how you can exercise any privacy rights.Ready to apply?
Apply to Braze
At Braze, we have found our people. We’re a genuinely approachable, exceptionally kind, and intensely passionate crew.
We seek to ignite that passion by setting high standards, championing teamwork, and creating work-life harmony as we collectively navigate rapid growth on a global scale while striving for greater equity and opportunity – inside and outside our organization.
To flourish here, you must be prepared to set a high bar for yourself and those around you. There is always a way to contribute: Acting with autonomy, having accountability and being open to new perspectives are essential to our continued success.
Our deep curiosity to learn and our eagerness to share diverse passions with others gives us balance and injects a one-of-a-kind vibrancy into our culture.
If you are driven to solve exhilarating challenges and have a bias toward action in the face of change, you will be empowered to make a real impact here, with a sharp and passionate team at your back. If Braze sounds like a place where you can thrive, we can’t wait to meet you.
WHAT YOU’LL DO
As our customer base continues to grow with the excitement around BrazeAI, we’re expanding our team! Join our Forward-Deployed Data Scientist group of creative technical experts who partner with customers to ensure their success. In this role, you will:
- Collaborate with customer Analytics/BI teams and Braze colleagues on implementations, including use case definition, data integration, pipeline setup, and ML model configuration
- Extend product capabilities by improving architecture and developing reusable data pipelines, APIs, and components
- Work closely with the RL pipeline development team to refine and advance our reinforcement learning (self-learning) algorithms
- Contribute to shaping BrazeAI's product strategy and roadmap through customer-facing insights and technical expertise
- Provide ongoing technical expertise to ensure successful adoption, measurable outcomes, and long-term customer success
WHO YOU ARE
- Education: Bachelor’s degree in Computer Science, Data Science, Mathematics, Engineering, or a related field required; Master’s or PhD in a relevant technical discipline preferred
- Experience: 3–5+ years of hands-on experience as a Data Scientist, Machine Learning Engineer, or similar role working with large-scale data and production environments. Experience in customer-facing or consulting roles is strongly preferred
- Strong technical expertise: Proficient in Python (Pandas) and core ML libraries (TensorFlow, Keras, scikit-learn, CatBoost, XGBoost). Skilled in SQL for querying/manipulating datasets, with experience in machine learning pipelines and model deployment
- Engineering best practices: You write well-structured, modular, documented code; follow strong development practices (Git, CI/CD, testing frameworks, type-hinting, code reviews); and can build scalable, maintainable solutions
- Nice-to-have skills: Experience with DevOps tools (Airflow, Kubernetes, Terraform, GCP), data integration/ETL and pipeline optimization, or reinforcement learning algorithms
- Customer collaborator: Comfortable working directly with clients and cross-functional teams, aligning stakeholders, and translating technical concepts into clear business value
- Entrepreneurial problem-solver: You identify opportunities and risks early, troubleshoot obstacles, and drive creative solutions
- Continuous learner: You stay current with industry trends, explore new tools/technologies, and thrive in environments that push you to grow
- Clear communicator: Able to explain complex technical ideas persuasively to both technical and non-technical audiences
WHAT WE OFFER
Braze benefits vary by location, and we encourage you to review our specific benefits offerings for each country here. More details on benefits plans will be provided if you receive an offer of employment.
From offering comprehensive benefits to fostering hybrid ways of working, we’ve got you covered so you can prioritize work-life harmony. Braze offers benefits such as:
- Competitive compensation that may include equity
- Retirement and Employee Stock Purchase Plans
- Flexible paid time off
- Comprehensive benefit plans covering medical, dental, vision, life, and disability
- Family services that include fertility benefits and equal paid parental leave
- Professional development supported by formal career pathing, learning platforms, and a yearly learning stipend
- A curated in-office employee experience, designed to foster community, team connections, and innovation
- Opportunities to give back to your community, including an annual company-wide Volunteer Week and donation matching
- Employee Resource Groups that provide supportive communities within Braze
- Collaborative, transparent, and fun culture recognized as a Great Place to Work®
ABOUT BRAZE
Braze is the leading customer engagement platform that empowers brands to Be Absolutely Engaging.™ Braze helps brands deliver great customer experiences that drive value both for consumers and for their businesses. Built on a foundation of composable intelligence, BrazeAI™ allows marketers to combine and activate AI agents, models, and features at every touchpoint throughout the Braze Customer Engagement Platform for smarter, faster, and more meaningful customer engagement. From cross-channel messaging and journey orchestration to Al-powered decisioning and optimization, Braze enables companies to turn action into interaction through autonomous, 1:1 personalized experiences.
The company has repeatedly been recognized as a Leader in marketing technology by industry analysts, and was voted a G2 “Best of Marketing and Digital Advertising Software Product” in 2025.
Braze was also named a 2025 Best Companies To Work For by U.S. News & World Report, a 2025 America’s Greatest Companies by Newsweek, and a 2025 Fortune Best Workplace in Technology™ by Great Place To Work®, among other accolades. Braze is also proudly certified as a Great Place to Work® in the U.S., the UK, Australia, and Singapore.
The company is headquartered in New York with offices in Austin, Berlin, Bucharest, Chicago, Dubai, Jakarta, London, Paris, San Francisco, São Paulo, Singapore, Seoul, Sydney and Tokyo.
At Braze, we strive to create equitable growth and opportunities inside and outside the organization.
Building meaningful connections is at the heart of everything we do, and that includes our recruiting practices. We're committed to offering all candidates a fair, accessible, and inclusive experience – regardless of age, color, disability, gender identity, marital status, maternity, national origin, pregnancy, race, religion, sex, sexual orientation, or status as a protected veteran. When applying and interviewing with Braze, we want you to feel comfortable showcasing what makes you you.
We know that sometimes different circumstances can lead talented people to hesitate to apply for a role unless they meet 100% of the criteria. If this sounds familiar, we encourage you to apply, as we’d love to meet you.
Please see our Candidate Privacy Policy for more information on how Braze processes your personal information during the recruitment process and, if applicable based on your location, how you can exercise any privacy rights.Ready to apply?
Apply to Braze
Senior Full Stack Developer - COM INGLÊS - Remoto
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A Capco é uma consultoria global de tecnologia e negócios, focada no setor de serviços financeiros e energia, somos apaixonados por ajudar nossos clientes, temos 40 escritórios nas Américas, Europa e Ásia-Pacífico! Se criatividade e inovação são sua paixão, a Capco é ideal para você. Vamos te apoiar e ajudar a acelerar sua carreira!
Estamos em busca de um(a) Desenvolvedor(a) Full Stack apaixonado(a) por tecnologia e inovação, com interesse em atuar em projetos que envolvam Inteligência Artificial. O profissional será responsável pelo desenvolvimento de aplicações web completas — frontend e backend — com integração a modelos de IA, APIs inteligentes e sistemas baseados em dados.
Responsabilidades:
-
Desenvolver e manter aplicações web robustas e escaláveis, atuando no frontend e backend;
-
Integrar APIs e modelos de machine learning/IA às aplicações;
-
Colaborar com cientistas de dados, engenheiros de machine learning e outras áreas técnicas;
-
Participar do design e arquitetura de soluções baseadas em IA;
-
Garantir boas práticas de codificação, versionamento, testes e documentação;
-
Explorar e aplicar soluções baseadas em IA generativa, NLP, visão computacional ou automação inteligente, conforme o projeto.
Requisitos:
- Graduação em TI ou áreas correlatas;
- Inglês avançado;
-
Experiência comprovada como Desenvolvedor(a) Full Stack;
-
Domínio em linguagens como Java e Springboot
-
Familiaridade com bancos de dados relacionais e não relacionais;
-
Disposição para aprender e trabalhar com linguagens de programação novas, especialmente linguagens antigas (COBOL, Natural Adabas, PL1, ...)
-
Capacidade de trabalhar em equipe, com perfil colaborativo e proatividade para aprender novas tecnologias.
Desejáveis:
- Groovy
Python
React
Docker
Neo4j
Integração com LLM
Configuração de Agentes de IA
Experiência com algum Cloud Provider (AWS, Azure, GCP, ...)
POR QUE CAPCO:
Na Capco promovemos uma cultura inclusiva. Valorizamos a diversidade em todas as suas expressões.
Pensamos, em conjunto, sempre em ações diversas de inclusão e de responsabilidade social através de comitês internos geridos pela nossa comunidade interna, como os grupo de Mulheres, Pessoas Com Deficiência, Pessoas Negras, LGBTQIAPN+, Parentalidade, Gerações, entre outros.
Nossas oportunidades são trabalhadas para todos(as)!!!
#LifeAtCapco
PRÓXIMOS PASSOS:
- Se você está ansioso(a) para progredir sua carreira conosco, candidate-se e aguarde o contato de um de nossos recrutadores!
Ready to apply?
Apply to CapcoA Capco é uma consultoria global de tecnologia e negócios, focada no setor de serviços financeiros e energia, somos apaixonados por ajudar nossos clientes, temos 40 escritórios nas Américas, Europa e Ásia-Pacífico! Se criatividade e inovação são sua paixão, a Capco é ideal para você. Vamos te apoiar e ajudar a acelerar sua carreira!
Engenheiro de Inteligência Artificial
Responsabilidades:
- Projetar, desenvolver e aprimorar aplicações baseadas em foundation models (ex.: LLMs, modelos multimodais) para necessidades específicas de negócio;
- Implementar e experimentar técnicas de IA generativa, incluindo, mas não se limitando a, Retrieval-Augmented Generation (RAG) e prompt engineering;
- Liderar a implementação de agentes autônomos inteligentes e sistemas multiagente capazes de tomada de decisão complexa, execução de tarefas e interação com sistemas externos;
- Utilizar e contribuir para frameworks de IA agentic (ex.: LangChain, AutoGen, Semantic Kernel, Crew AI) para construir agentes robustos e escaláveis;
- Desenvolver e integrar soluções de Model Context Protocol (MCP) para padronizar como aplicações de IA acessam e utilizam fontes de dados externas, ferramentas e informações em tempo real;
- Liderar o desenvolvimento de aplicações full-stack que integrem modelos de IA generativa e sistemas agentic, garantindo experiências de usuário fluidas;
- Trabalhar com tecnologias de front-end (ex.: React, Angular, Vue.js, JavaScript, TypeScript, HTML, CSS) e back-end (ex.: Python com Flask/Django/FastAPI, Node.js, Go);
- Projetar e implementar APIs RESTful escaláveis e microsserviços para expor funcionalidades de IA;
- Implantar, gerenciar e otimizar cargas de trabalho de IA/ML e aplicações full-stack em pelo menos uma grande plataforma de nuvem (AWS, Azure ou GCP);
- Implementar práticas de LLMOps/MLOps e DevOps para integração contínua, entrega contínua (CI/CD), implantação de modelos, monitoramento e gestão de ciclo de vida;
- Manter-se atualizado sobre os avanços mais recentes em IA generativa, sistemas agentic, foundation models e áreas relacionadas por meio de pesquisa e experimentação contínuas;
- Colaborar de forma eficaz com equipes multifuncionais, incluindo gerentes de produto, cientistas de dados, pesquisadores e outros engenheiros;
- Orientar engenheiros juniores, compartilhar conhecimento e promover uma cultura de excelência técnica.
Requisitos:
- Bacharelado ou Mestrado em Ciência da Computação, Inteligência Artificial, Machine Learning ou área quantitativa relacionada;
- 5+ anos de experiência em desenvolvimento de software com forte foco em IA/ML;
- Experiência comprovada na construção e implantação de modelos de IA generativa (ex.: LLMs, modelos de difusão) em ambientes de produção;
- Expertise demonstrada em projetar e implementar sistemas de IA agentic e arquiteturas multiagente;
- Sólido entendimento e experiência prática com Model Context Protocol (MCP) para integração de sistemas de IA;
- Experiência consistente em desenvolvimento de aplicações full-stack;
- Ampla experiência com plataformas de nuvem (AWS, Azure ou GCP) para implantações de IA/ML e hospedagem de aplicações em geral;
- Experiência com ferramentas e práticas de LLMOps (ex.: Langfuse, Langsmith, etc.);
- Excelentes habilidades de resolução de problemas, análise e comunicação;
- Capacidade de trabalhar de forma independente e colaborativa em um ambiente ágil e dinâmico;
- Inglês avançado.
Diferenciais:
-
Experiência anterior com sistemas de conhecimento baseados em grafos.
-
Familiaridade com ferramentas e frameworks de GenAI (LangChain, LlamaIndex, OpenAI APIs).
-
Experiência em projetos do setor de seguros ou serviços financeiros.
POR QUE CAPCO:
Na Capco promovemos uma cultura inclusiva. Valorizamos a diversidade em todas as suas expressões.
Pensamos, em conjunto, sempre em ações diversas de inclusão e de responsabilidade social através de comitês internos geridos pela nossa comunidade interna, como os grupo de Mulheres, Pessoas Com Deficiência, Pessoas Negras, LGBTQIAPN+, Parentalidade, Gerações, entre outros.
Nossas oportunidades são trabalhadas para todos(as)!!!
#LifeAtCapco
PRÓXIMOS PASSOS:
- Se você está ansioso(a) para progredir sua carreira conosco, candidate-se e aguarde o contato de um de nossos recrutadores!
Ready to apply?
Apply to CapcoSOBRE A CAPCO
A Capco é uma consultoria global de tecnologia e gestão especializada na transformação digital, oferecendo soluções inovadoras e orientadas por dados para um portfólio crescente de mais de 100 clientes globais, entre eles bancos, pagamentos, mercados de capitais, gestão de patrimônio e ativos, seguros e setor de energia.
Nos destacamos pela abordagem personalizada, focada na construção de parcerias estratégicas de longo prazo e na aceleração de iniciativas digitais. Nossa expertise ganha vida por meio dos Innovation Labs e da cultura premiada #BeYourselfAtWork, que valoriza a diversidade e o talento.
Com presença global nos principais centros financeiros - temos 40 escritórios nas Américas, Europa e Ásia-Pacífico - estamos comprometidos em oferecer soluções práticas e integradas, promovendo colaboração e confiança em cada projeto. Se criatividade e inovação são sua paixão, a Capco é ideal para você. Vamos te apoiar e ajudar a acelerar sua carreira!
Como Desenvolvedor Backend Sênior, você será responsável por liderar o desenvolvimento e a
implementação de soluções robustas e escaláveis para nossos serviços backend, garantindo alta
disponibilidade, performance e segurança.
Responsabilidades:
Desenvolver e manter serviços backend utilizando Node.js/TypeScript e Nest.js.
● Trabalhar com bancos de dados relacionais e não-relacionais para garantir a integridade e
eficiência dos dados.
● Implementar arquiteturas de microserviços e garantir a comunicação eficiente entre eles.
● Utilizar computação em nuvem, especialmente no Google Cloud Platform (GCP), para
hospedar e escalar serviços.
● Implementar programação assíncrona e mensageria utilizando RabbitMQ, Kafka, PubSub,
entre outros.
● Utilizar Docker e Kubernetes para orquestração de contêineres e garantir a portabilidade e
escalabilidade dos serviços.
● Gerenciar controle de versão utilizando GIT e colaborar em equipe seguindo metodologias
ágeis.
● Configurar processos de CI/CD com Jenkins, pipelines e outras ferramentas para garantir um
deploy contínuo e automatizado.
● Escrever testes unitários e end-to-end com Jest e Cypress para garantir a qualidade do
código.
● Utilizar BigQuery para análise e processamento de grandes volumes de dados
Requisitos:
● Experiência sólida em desenvolvimento backend utilizando Node.js/TypeScript.
● Conhecimento prático em bancos de dados relacionais e não-relacionais.
● Experiência comprovada em arquiteturas de microserviços e desenvolvimento utilizando
Nest.js.
● Familiaridade com computação em nuvem, especialmente no Google Cloud Platform (GCP).
● Experiência em programação assíncrona e uso de mensageria.
● Conhecimento em Docker e Kubernetes para orquestração de contêineres.
● Experiência com controle de versão utilizando GIT e metodologias ágeis.
● Vivência em processos de deploy contínuo com Jenkins e pipelines.
● Habilidade em escrever testes unitários e end-to-end para garantir a qualidade do código.
● Familiaridade com BigQuery para análise de dados
Diferenciais:
- Conhecimento em Python para ampliar as capacidades de desenvolvimento.
- Noções em práticas DevOps para integração e entrega contínua.
- Conhecimento em Clean Architecture e GitFlow.
- Familiaridade com princípios S.O.L.I.D. de desenvolvimento de software
POR QUE CAPCO:
Juntar-se à Capco significa ingressar em uma organização comprometida com um ambiente de trabalho inclusivo onde você é incentivado a #BeYourselfAtWork (Ser Você Mesmo no Trabalho). Celebramos a individualidade e reconhecemos que a diversidade e a inclusão, em todas as formas, são fundamentais para o sucesso. Acreditamos que todos trazem algo diferente, por isso adoraríamos saber o que o torna diferente!
PRÓXIMOS PASSOS:
O objetivo da Capco é conduzir um processo flexível e alinhado às necessidades de cada oportunidade e talento.
- Etapa 1: Entrevista comportamental.
- Etapa 2: Entrevista técnica.
- Etapa 3: Conversa com time de Projeto/ Delivery.
- Etapa 4: Conversa com cliente.
- Etapa 5: Proposta ou feedback.
As etapas do nosso processo seletivo descritas são essenciais para garantir uma avaliação completa e assertiva. Contudo, elas podem ser ajustadas dependendo da senioridade do(a) candidato(a), da área de atuação e do formato do projeto.
Ready to apply?
Apply to CapcoPrincipais Atividades:
- Desenvolver e manter APIs e microservices com tecnologias modernas.
- Trabalhar com arquitetura de software, garantindo escalabilidade e segurança.
- Atuar com dados e analytics, utilizando ferramentas como SQL, Power BI, Python, Spark e plataformas de Big Data.
- Criar e otimizar soluções em Cloud Computing (AWS, Azure, GCP), com práticas DevOps e CI/CD.
- Participar de times ágeis (Scrum, Kanban) e colaborar em projetos inovadores para grandes empresas
Requisitos:
- 5-6 anos de experiência sólida experiência comprovada em desenvolvimento de software com foco em inteligência artificial;
- Graduação em Ciência da Computação, Engenharia, Matemática ou área relacionada
- Proficiência em Python e experiência com bibliotecas como TensorFlow, PyTorch, Scikit-learn, etc;
- Conhecimento em LLM (Linguagem de Modelagem Lógico) e RAG (Rede Adaptativa Generativa) é altamente desejável;
- Experiência em trabalhar com serviços em nuvem, especialmente AWS;
- Excelentes habilidades de resolução de problemas e capacidade de trabalhar de forma independente e em equipe;
Inglês intermediário/avançado (possivel atuação com time internacional).
Por que a Capco:
Na Capco, promovemos uma cultura inclusiva. Valorizamos a diversidade em todas as suas expressões. Pensamos, em conjunto, sempre em ações diversas de inclusão e de responsabilidade social através de comitês internos geridos pela nossa comunidade, como os grupo de Mulheres, Pessoas Com Deficiência, Pessoas Negras, LGBTQIAPN+, Parentalidade, Gerações, entre outros. Juntar-se à Capco significa ingressar em uma organização comprometida com um ambiente de trabalho inclusivo onde você é incentivado a #BeYourselfAtWork (Ser Você Mesmo no Trabalho). Celebramos a individualidade e reconhecemos que a diversidade e a inclusão, em todas as formas, são fundamentais para o sucesso. Acreditamos que todos trazem algo diferente, por isso adoraríamos saber o que o torna diferente! #LifeAtCapco
Juntar-se à Capco significa ingressar em uma organização comprometida com um ambiente de trabalho inclusivo onde você é incentivado a #BeYourselfAtWork (Ser Você Mesmo no Trabalho). Celebramos a individualidade e reconhecemos que a diversidade e a inclusão, em todas as formas, são fundamentais para o sucesso. Acreditamos que todos trazem algo diferente, por isso adoraríamos saber o que o torna diferente!
Próximos Passos:
O objetivo da Capco é conduzir um processo flexível e alinhado às necessidades de cada oportunidade e talento.
- Etapa 1: Entrevista comportamental.
- Etapa 2: Entrevista técnica.
- Etapa 3: Conversa com time de Projeto/ Delivery.
- Etapa 4: Conversa com cliente.
- Etapa 5: Proposta ou feedback.
As etapas do nosso processo seletivo descritas são essenciais para garantir uma avaliação completa e assertiva. Contudo, elas podem ser ajustadas dependendo da senioridade do(a) candidato(a), da área de atuação e do formato do projeto.
Ready to apply?
Apply to CapcoRequisitos:
- +8 anos de experiência profissional nas áreas de DevOps, Engenharia de Software, SRE ou Infraestrutura;
- Experiência comprovada com ferramentas de automação como GitHub Actions, Harness ou ambas;
- Conhecimento sólido em integração e entrega contínua (CI/CD), versionamento com Git, e processos de release;
- Familiaridade com ambientes de nuvem (AWS, GCP, Azure) e orquestração de containers (Kubernetes, Docker);
- Experiência com scripts de automação (Shell, Python, Bash, etc.) e ferramentas de IaC como Terraform, CloudFormation ou similares;
- Excelente capacidade de análise, resolução de problemas e comunicação interpessoal;
- Graduação em TI ou áreas correlatas;
- Inglês intermediário/avançado (possivel atuação com time internacional).
Principais Atividades:
- Projetar, implementar e manter pipelines de integração e entrega contínua (CI/CD), utilizando GitHub Actions, Harness ou ambas as ferramentas;
- Trabalhar em estreita colaboração com equipes de desenvolvimento, segurança e operações para garantir processos de entrega ágeis, seguros e eficientes;
- Automatizar fluxos de trabalho de build, teste, release e deploy em múltiplos ambientes (dev, staging, produção);
- Gerenciar e otimizar ambientes de execução em nuvem (AWS, Azure, GCP), containers (Docker, Kubernetes) e infraestrutura como código (IaC);
- Monitorar e melhorar continuamente a confiabilidade, escalabilidade e desempenho dos pipelines e sistemas;
- Apoiar a cultura DevOps dentro da organização, promovendo boas práticas, colaboração e melhoria contínua.
Por que a Capco:
Na Capco, promovemos uma cultura inclusiva. Valorizamos a diversidade em todas as suas expressões. Pensamos, em conjunto, sempre em ações diversas de inclusão e de responsabilidade social através de comitês internos geridos pela nossa comunidade, como os grupo de Mulheres, Pessoas Com Deficiência, Pessoas Negras, LGBTQIAPN+, Parentalidade, Gerações, entre outros. Juntar-se à Capco significa ingressar em uma organização comprometida com um ambiente de trabalho inclusivo onde você é incentivado a #BeYourselfAtWork (Ser Você Mesmo no Trabalho). Celebramos a individualidade e reconhecemos que a diversidade e a inclusão, em todas as formas, são fundamentais para o sucesso. Acreditamos que todos trazem algo diferente, por isso adoraríamos saber o que o torna diferente! #LifeAtCapco
Juntar-se à Capco significa ingressar em uma organização comprometida com um ambiente de trabalho inclusivo onde você é incentivado a #BeYourselfAtWork (Ser Você Mesmo no Trabalho). Celebramos a individualidade e reconhecemos que a diversidade e a inclusão, em todas as formas, são fundamentais para o sucesso. Acreditamos que todos trazem algo diferente, por isso adoraríamos saber o que o torna diferente!
Próximos Passos:
O objetivo da Capco é conduzir um processo flexível e alinhado às necessidades de cada oportunidade e talento.
- Etapa 1: Entrevista comportamental.
- Etapa 2: Entrevista técnica.
- Etapa 3: Conversa com time de Projeto/ Delivery.
- Etapa 4: Conversa com cliente.
- Etapa 5: Proposta ou feedback.
As etapas do nosso processo seletivo descritas são essenciais para garantir uma avaliação completa e assertiva. Contudo, elas podem ser ajustadas dependendo da senioridade do(a) candidato(a), da área de atuação e do formato do projeto.
Ready to apply?
Apply to CapcoSenior Full Stack Developer - COM INGLÊS - Remoto
Share this job
A Capco é uma consultoria global de tecnologia e negócios, focada no setor de serviços financeiros e energia, somos apaixonados por ajudar nossos clientes, temos 40 escritórios nas Américas, Europa e Ásia-Pacífico! Se criatividade e inovação são sua paixão, a Capco é ideal para você. Vamos te apoiar e ajudar a acelerar sua carreira!
Estamos em busca de um(a) Desenvolvedor(a) Full Stack apaixonado(a) por tecnologia e inovação, com interesse em atuar em projetos que envolvam Inteligência Artificial. O profissional será responsável pelo desenvolvimento de aplicações web completas — frontend e backend — com integração a modelos de IA, APIs inteligentes e sistemas baseados em dados.
Responsabilidades:
-
Desenvolver e manter aplicações web robustas e escaláveis, atuando no frontend e backend;
-
Integrar APIs e modelos de machine learning/IA às aplicações;
-
Colaborar com cientistas de dados, engenheiros de machine learning e outras áreas técnicas;
-
Participar do design e arquitetura de soluções baseadas em IA;
-
Garantir boas práticas de codificação, versionamento, testes e documentação;
-
Explorar e aplicar soluções baseadas em IA generativa, NLP, visão computacional ou automação inteligente, conforme o projeto.
Requisitos:
- Graduação em TI ou áreas correlatas;
- Inglês avançado;
-
Experiência comprovada como Desenvolvedor(a) Full Stack;
-
Domínio em linguagens como Java e Springboot
-
Familiaridade com bancos de dados relacionais e não relacionais;
-
Disposição para aprender e trabalhar com linguagens de programação novas, especialmente linguagens antigas (COBOL, Natural Adabas, PL1, ...)
-
Capacidade de trabalhar em equipe, com perfil colaborativo e proatividade para aprender novas tecnologias.
Desejáveis:
- Groovy
Python
React
Docker
Neo4j
Integração com LLM
Configuração de Agentes de IA
Experiência com algum Cloud Provider (AWS, Azure, GCP, ...)
POR QUE CAPCO:
Na Capco promovemos uma cultura inclusiva. Valorizamos a diversidade em todas as suas expressões.
Pensamos, em conjunto, sempre em ações diversas de inclusão e de responsabilidade social através de comitês internos geridos pela nossa comunidade interna, como os grupo de Mulheres, Pessoas Com Deficiência, Pessoas Negras, LGBTQIAPN+, Parentalidade, Gerações, entre outros.
Nossas oportunidades são trabalhadas para todos(as)!!!
#LifeAtCapco
PRÓXIMOS PASSOS:
- Se você está ansioso(a) para progredir sua carreira conosco, candidate-se e aguarde o contato de um de nossos recrutadores!
Ready to apply?
Apply to CapcoSenior Spark Developer - Remote - English Advanced
Share this job
SOBRE A CAPCO
A Capco é uma consultoria global de tecnologia e gestão especializada na transformação digital, oferecendo soluções inovadoras e orientadas por dados para um portfólio crescente de mais de 100 clientes globais, entre eles bancos, pagamentos, mercados de capitais, gestão de patrimônio e ativos, seguros e setor de energia.
Nos destacamos pela abordagem personalizada, focada na construção de parcerias estratégicas de longo prazo e na aceleração de iniciativas digitais. Nossa expertise ganha vida por meio dos Innovation Labs e da cultura premiada Be Yourself At Work, que valoriza a diversidade e o talento.
Com presença global nos principais centros financeiros - temos 33 escritórios nas Américas, Europa e Ásia-Pacífico - estamos comprometidos em oferecer soluções práticas e integradas, promovendo colaboração e confiança em cada projeto. Se criatividade e inovação são sua paixão, a Capco é ideal para você. Vamos te apoiar e ajudar a acelerar sua carreira!
Sobre a oportunidade:
Estamos em busca de um(a) Senior Consultant para atuar como Spark Developer em um projeto estratégico para um dos maiores players do setor financeiro global. Essa é uma excelente chance para profissionais com forte background técnico em engenharia de dados e interesse em trabalhar em um ambiente de alta performance, colaborando com um cliente internacional na área de serviços financeiros.
Principais Responsabilidades:
- Desenvolver, otimizar e manter pipelines de dados utilizando Apache Spark.
- Trabalhar em conjunto com times técnicos e de negócios para garantir a entrega de soluções eficientes e escaláveis.
- Colaborar com stakeholders internacionais, comunicando de forma clara requisitos, progresso e resultados técnicos.
- Aplicar boas práticas de engenharia de dados e versionamento de código em ambiente colaborativo.
- Atuar na identificação e resolução de problemas técnicos relacionados a performance, volume de dados e integração.
Requisitos Essenciais:
- Experiência comprovada como Spark Developer, atuando com processamento distribuído de dados em larga escala.
- Sólida base técnica em engenharia de dados e programação (ex: Scala, Python ou Java).
- Boas habilidades de comunicação e capacidade de interação com clientes e equipes globais.
- Inglês avançado para colaboração diária com times multiculturais.
Requisitos Desejáveis:
- Experiência prévia em projetos para o setor financeiro, especialmente com serviços bancários.
- Conhecimentos em plataformas de Big Data (Hadoop, Hive, Kafka, etc.).
- Vivência com ambientes em Cloud (AWS, GCP ou Azure).
- Familiaridade com ferramentas de versionamento (Git) e metodologias ágeis.
POR QUE CAPCO:
Juntar-se à Capco significa ingressar em uma organização comprometida com um ambiente de trabalho inclusivo onde você é incentivado a #BeYourselfAtWork (Ser Você Mesmo no Trabalho). Celebramos a individualidade e reconhecemos que a diversidade e a inclusão, em todas as formas, são fundamentais para o sucesso. Acreditamos que todos trazem algo diferente, por isso adoraríamos saber o que o torna diferente!
PRÓXIMOS PASSOS:
O objetivo da Capco é conduzir um processo flexível e alinhado às necessidades de cada oportunidade e talento.
- Etapa 1: Entrevista comportamental.
- Etapa 2: Entrevista técnica.
- Etapa 3: Conversa com time de Projeto/ Delivery.
- Etapa 4: Conversa com cliente.
- Etapa 5: Proposta ou feedback.
As etapas do nosso processo seletivo descritas são essenciais para garantir uma avaliação completa e assertiva. Contudo, elas podem ser ajustadas dependendo da senioridade do(a) candidato(a), da área de atuação e do formato do projeto.
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Apply to CapcoBusiness Analyst | Foco em Dados - Remote - English Advanced
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SOBRE A CAPCO
A Capco é uma consultoria global de tecnologia e gestão especializada na transformação digital, oferecendo soluções inovadoras e orientadas por dados para um portfólio crescente de mais de 100 clientes globais, entre eles bancos, pagamentos, mercados de capitais, gestão de patrimônio e ativos, seguros e setor de energia.
Nos destacamos pela abordagem personalizada, focada na construção de parcerias estratégicas de longo prazo e na aceleração de iniciativas digitais. Nossa expertise ganha vida por meio dos Innovation Labs e da cultura premiada Be Yourself At Work, que valoriza a diversidade e o talento.
Com presença global nos principais centros financeiros - temos 33 escritórios nas Américas, Europa e Ásia-Pacífico - estamos comprometidos em oferecer soluções práticas e integradas, promovendo colaboração e confiança em cada projeto. Se criatividade e inovação são sua paixão, a Capco é ideal para você. Vamos te apoiar e ajudar a acelerar sua carreira!
Sobre a oportunidade:
Estamos em busca de um(a) Senior Consultant com experiência sólida em Business Analysis com plataformas de Big Data e vivência em ambientes de Cloud. Esta é uma excelente oportunidade para profissionais técnicos que desejam atuar em projetos de alto impacto, com foco em soluções escaláveis, processamento de grandes volumes de dados e modernização de ambientes analíticos.
Requisitos Desejáveis:
- Experiência com Data Lake, Delta Lake e arquiteturas orientadas a eventos.
- Certificações em Cloud (ex: AWS Certified Data Analytics, Azure Data Engineer, etc.).
- Conhecimentos em linguagens como Python, Scala ou Java voltadas para processamento de dados.
- Familiaridade com ferramentas de orquestração como Airflow, Apache Nifi, DBT ou similares.
- Entendimento de boas práticas de governança de dados, segurança e compliance.
POR QUE CAPCO:
Juntar-se à Capco significa ingressar em uma organização comprometida com um ambiente de trabalho inclusivo onde você é incentivado a #BeYourselfAtWork (Ser Você Mesmo no Trabalho). Celebramos a individualidade e reconhecemos que a diversidade e a inclusão, em todas as formas, são fundamentais para o sucesso. Acreditamos que todos trazem algo diferente, por isso adoraríamos saber o que o torna diferente!
Estamos em busca de um(a) Business Analyst com forte atuação em projetos de dados, capaz de traduzir necessidades de negócio em requisitos técnicos e análises estratégicas. O(a) profissional ideal terá experiência em ambientes de Big Data, conhecimento em ferramentas como Snowflake e Hadoop, e facilidade em interagir com áreas técnicas e de negócio.
Responsabilidades:
-
Levantar, mapear e analisar requisitos de negócio voltados a dados e analytics;
-
Traduzir necessidades das áreas de negócio em histórias de usuário e requisitos técnicos claros;
-
Trabalhar em parceria com times de engenharia de dados, ciência de dados e produto;
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Realizar análises exploratórias de dados e gerar insights acionáveis;
-
Documentar processos, fluxos de dados e regras de negócio;
-
Apoiar o desenho de soluções de dados com foco em escalabilidade e performance;
-
Garantir a qualidade e integridade das entregas de dados (requisitos, relatórios, dashboards, etc.).
Requisitos:
-
Experiência prévia como Business Analyst ou Product Analyst em projetos de dados;
-
Familiaridade com ambientes de Data Warehouse e Data Lake;
-
Conhecimento em ferramentas como Snowflake, Hadoop, Hive, Spark, etc.;
-
Experiência com análise de dados utilizando SQL avançado;
-
Capacidade de leitura e entendimento de pipelines de dados;
-
Habilidade de comunicação com perfis técnicos e não técnicos;
-
Conhecimento de metodologias ágeis (Scrum/Kanban).
- Inglês avançado.
Diferenciais:
-
Experiência com ferramentas de BI (Power BI, Tableau, Looker);
-
Noções de modelagem de dados (dimensional, relacional, etc.);
-
Experiência em ambientes Cloud (AWS, GCP ou Azure);
-
Experiência em projetos de governança de dados ou compliance (LGPD, GDPR).
PRÓXIMOS PASSOS:
O objetivo da Capco é conduzir um processo flexível e alinhado às necessidades de cada oportunidade e talento.
- Etapa 1: Entrevista comportamental.
- Etapa 2: Entrevista técnica.
- Etapa 3: Conversa com time de Projeto/ Delivery.
- Etapa 4: Conversa com cliente.
- Etapa 5: Proposta ou feedback.
As etapas do nosso processo seletivo descritas são essenciais para garantir uma avaliação completa e assertiva. Contudo, elas podem ser ajustadas dependendo da senioridade do(a) candidato(a), da área de atuação e do formato do projeto.
Ready to apply?
Apply to CapcoDesenvolvedor Backend Junior - Exclusivo para Pessoas com Deficiência
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SOBRE A CAPCO
A Capco é uma consultoria global de tecnologia e gestão especializada na transformação digital, oferecendo soluções inovadoras e orientadas por dados para um portfólio crescente de mais de 100 clientes globais, entre eles bancos, pagamentos, mercados de capitais, gestão de patrimônio e ativos, seguros e setor de energia.
Nos destacamos pela abordagem personalizada, focada na construção de parcerias estratégicas de longo prazo e na aceleração de iniciativas digitais. Nossa expertise ganha vida por meio dos Innovation Labs e da cultura premiada #BeYourselfAtWork, que valoriza a diversidade e o talento.
Temos oportunidades em formato presencial, híbrido e remoto, com vagas disponíveis em diversas localidades no Brasil. Com presença global nos principais centros financeiros - temos 33 escritórios nas Américas, Europa e Ásia-Pacífico - estamos comprometidos em oferecer soluções práticas e integradas, promovendo colaboração e confiança em cada projeto. Se criatividade e inovação são sua paixão, a Capco é ideal para você. Vamos te apoiar e ajudar a acelerar sua carreira!
Estamos em busca de um Desenvolvedor Java Backend Júnior para integrar nosso time de tecnologia! Procuramos alguém com vontade de aprender, proatividade e paixão por desenvolvimento de software. Você atuará no desenvolvimento e manutenção de APIs, integração de sistemas e suporte a aplicações backend em ambiente colaborativo e dinâmico.
Responsabilidades:
- Desenvolver e manter APIs RESTful utilizando Java e Spring Boot;
- Auxiliar na modelagem e otimização de banco de dados relacionais e não-relacionais;
- Participar de revisões de código e cerimônias ágeis (Scrum/Kanban);
- Identificar e corrigir bugs e gargalos de performance;
- Contribuir com documentação técnica e testes automatizados.
Requisitos:
- Conhecimento básico em Java 8+;
- Familiaridade com o ecossistema Spring (Spring Boot, Spring Data, etc.);
- Experiência com bancos de dados relacionais (ex: MySQL, PostgreSQL);
- Noções de versionamento com Git;
- Interesse em práticas ágeis e CI/CD.
- Graduação em TI ou áreas correlatas. ( concluído ou cursando)
Diferenciais:
- Projetos pessoais ou GitHub ativo;
- Conhecimento básico em mensageria (RabbitMQ, Kafka);
- Experiência com Docker e APIs RESTful;
- Conhecimento básico em nuvem (AWS, Azure ou GCP).
- Ingles avançado considerado um plus
Por que a Capco:
Na Capco, promovemos uma cultura inclusiva. Valorizamos a diversidade em todas as suas expressões. Pensamos, em conjunto, sempre em ações diversas de inclusão e de responsabilidade social através de comitês internos geridos pela nossa comunidade, como os grupo de Mulheres, Pessoas Com Deficiência, Pessoas Negras, LGBTQIAPN+, Parentalidade, Gerações, entre outros. Juntar-se à Capco significa ingressar em uma organização comprometida com um ambiente de trabalho inclusivo onde você é incentivado a #BeYourselfAtWork (Ser Você Mesmo no Trabalho). Celebramos a individualidade e reconhecemos que a diversidade e a inclusão, em todas as formas, são fundamentais para o sucesso. Acreditamos que todos trazem algo diferente, por isso adoraríamos saber o que o torna diferente! #LifeAtCapco
Juntar-se à Capco significa ingressar em uma organização comprometida com um ambiente de trabalho inclusivo onde você é incentivado a #BeYourselfAtWork (Ser Você Mesmo no Trabalho). Celebramos a individualidade e reconhecemos que a diversidade e a inclusão, em todas as formas, são fundamentais para o sucesso. Acreditamos que todos trazem algo diferente, por isso adoraríamos saber o que o torna diferente!
Ready to apply?
Apply to CapcoFullstack Developer - Remote - English Advanced
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SOBRE A CAPCO
A Capco é uma consultoria global de tecnologia e gestão especializada na transformação digital, oferecendo soluções inovadoras e orientadas por dados para um portfólio crescente de mais de 100 clientes globais, entre eles bancos, pagamentos, mercados de capitais, gestão de patrimônio e ativos, seguros e setor de energia.
Nos destacamos pela abordagem personalizada, focada na construção de parcerias estratégicas de longo prazo e na aceleração de iniciativas digitais. Nossa expertise ganha vida por meio dos Innovation Labs e da cultura premiada Be Yourself At Work, que valoriza a diversidade e o talento.
Com presença global nos principais centros financeiros - temos 33 escritórios nas Américas, Europa e Ásia-Pacífico - estamos comprometidos em oferecer soluções práticas e integradas, promovendo colaboração e confiança em cada projeto. Se criatividade e inovação são sua paixão, a Capco é ideal para você. Vamos te apoiar e ajudar a acelerar sua carreira!
Sobre a oportunidade:
Estamos em busca de um(a) Senior Consultant com sólida experiência em desenvolvimento utilizando Java e Angular (UI). Essa é uma excelente oportunidade para profissionais que desejam atuar em projetos estratégicos, colaborando com times multidisciplinares e aplicando as melhores práticas de engenharia de software em ambientes dinâmicos e desafiadores.
Principais Responsabilidades:
- Atuar no desenvolvimento e manutenção de aplicações Java com foco em performance, segurança e escalabilidade.
- Projetar e implementar interfaces responsivas e intuitivas utilizando Angular.
- Colaborar com analistas, arquitetos e outros desenvolvedores para garantir entregas técnicas alinhadas aos objetivos do negócio.
- Participar ativamente de revisões de código, definição de padrões técnicos e resolução de problemas complexos.
- Apoiar a evolução contínua dos produtos por meio da melhoria contínua e inovação tecnológica.
Requisitos Essenciais:
- Experiência sólida em desenvolvimento com Java (preferencialmente versões 11 ou superiores).
- Proficiência em Angular para construção de interfaces ricas e responsivas.
- Familiaridade com arquitetura de microsserviços e REST APIs.
- Boas práticas de versionamento de código (ex: Git).
- Capacidade de atuar com autonomia e forte orientação à entrega de valor.
- Inglês avançado para colaboração diária com times multiculturais.
Requisitos Desejáveis:
- Experiência em ambientes corporativos ou consultorias de tecnologia.
- Conhecimentos em ferramentas de CI/CD, testes automatizados e metodologias ágeis (Scrum/Kanban).
- Noções de design system e boas práticas de UX/UI.
- Experiência com cloud (AWS, Azure ou GCP).
POR QUE CAPCO:
Juntar-se à Capco significa ingressar em uma organização comprometida com um ambiente de trabalho inclusivo onde você é incentivado a #BeYourselfAtWork (Ser Você Mesmo no Trabalho). Celebramos a individualidade e reconhecemos que a diversidade e a inclusão, em todas as formas, são fundamentais para o sucesso. Acreditamos que todos trazem algo diferente, por isso adoraríamos saber o que o torna diferente!
PRÓXIMOS PASSOS:
O objetivo da Capco é conduzir um processo flexível e alinhado às necessidades de cada oportunidade e talento.
- Etapa 1: Entrevista comportamental.
- Etapa 2: Entrevista técnica.
- Etapa 3: Conversa com time de Projeto/ Delivery.
- Etapa 4: Conversa com cliente.
- Etapa 5: Proposta ou feedback.
As etapas do nosso processo seletivo descritas são essenciais para garantir uma avaliação completa e assertiva. Contudo, elas podem ser ajustadas dependendo da senioridade do(a) candidato(a), da área de atuação e do formato do projeto.
Ready to apply?
Apply to Capco