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

Datadog is seeking a strategic, results oriented Director to lead and scale our Technical Support Engineering (TSE) organization across LATAM. This leader will be responsible for strengthening and expanding our regional support presence, building high-performing teams, and ensuring operational excellence as we continue our rapid growth.You will lead a team of managers and support engineers in our LATAM region, partnering cross-functionally to deliver exceptional customer outcomes and consistent global standards.

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: 

• Lead, develop, and scale a multi-country Technical Support Engineering organization across LATAM
• Evaluate and launch new support locations within LATAM as customer growth requires
• Act as the owner for your team’s metrics and performance - partnering closely with upper management and HR on performance management and employee issues
• Provide strategic guidance and oversight to Managers on regional projects, ensuring their successful and timely completion.
• Lead regional hiring efforts to attract and retain top technical talent in competitive LATAM markets. Ensure that all quarterly hiring targets for the region and functional area are met
• Ensure the successful onboarding and development of Technical Support Engineers
• Drive cross-functional projects or initiatives to improve team productivity, process, or procedure
• Collaborate with internal teams and customers on high-priority escalations/incidents and act as a resource to resolve escalations from team members as necessary
• Conduct regular 1:1’s with team members to provide constructive feedback and skills development.
• Liaise with other groups throughout the organization (Sales, Customer Success, Engineering, Product) to tackle urgent matters, and to implement workflow improvements that help ensure smooth overall operation

Who You are:

• 8+ years of experience in Technical Support, Solutions Engineering, or a related technical customer-facing function
• 5+ years of experience leading manager of managers in a multi-layered organization
• Proven experience building or scaling teams from zero in new locations or emerging markets
• Experience managing teams across multiple countries, with demonstrated ability to navigate cultural and operational differences
• Strong familiarity with LATAM customer segments and regional business nuances
• Demonstrated ability to implement consistent performance standards across distributed teams
• A critical thinker who defaults to a customer-centric approach.
• Passionate about using analytics to drive informed decision-making and optimize processes.
• Someone with a high EQ and soft skills.
• Able to work a rotating schedule that requires weekend availability
• Bonus Points: 
• Knowledge of current monitoring solutions, DevOps tooling, and related technologies
• Previous experience working in a hyper growth organization
• CS or Engineering degree

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:

• Generous and competitive global and US benefits
• New hire stock equity (RSUs) and employee stock purchase plan
• Continuous career development and pathing opportunities
• Product training to develop an in-depth understanding of our product and space
• Best in breed onboarding
• Internal mentor and buddy program cross-departmentally
• Friendly and inclusive workplace culture

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

#LI-Hybrid

As an Enterprise Sales Engineer, you will provide technical expertise through sales presentations, product demonstrations, and supporting technical evaluations (POVs). Sales Engineers help qualify and close opportunities with customers and partners and have a voice with the product team to help prioritize features based on input from customers, competitors, and partners.

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:

• Partner with the Sales team to articulate the overall Datadog value proposition, vision and strategy to customers
• Own technical engagement with customers during the trial phase. Communicate Datadog’s value based on activities and work with customers on any identified issues or concerns to successful conclusion
• Technically close complex opportunities through advanced competitive knowledge, technical skill, and credibility
• Deliver product and technical briefings / presentations to potential clients
• Maintain accurate notes and feedback in CRM regarding customer input both wins and losses
• Proactively engage and communicate with customers and Datadog business/technical teams regarding product feedback and competitive landscape

Who You Are:

• Passionate about educating customers on observability risks that are meaningful to their business, and able to build and execute an evaluation plan with a customer
• Someone with strong written and oral communication skills. This role requires an ability to understand and articulate both the business benefits (value proposition) and technical advantages of our offering
• Experienced in programming/scripting with any of the following: Java, Python, Ruby, Go, Node.JS, PHP, and .NET etc.
• Someone with a minimum of 3+ years in a Sales Engineering or DevOps Engineering role
• Able to sit up to 4 hours, traveling to and from client sites 
• Able to travel via auto, train or air up to 45% of the time

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

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

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

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

What You’ll Do:

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

Who You Are:

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

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

Benefits and Growth:

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

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

We are looking for an experienced Principal Partner Manager to build and accelerate growth with our top Security focused channel partners in Latin America.  Our ultimate goal is building channels and alliances that drive new customer adoption and revenue. In this role, you will drive Datadog’s business relationships by analyzing partner business performance, identifying methods of increasing partner and Datadog returns, and identifying opportunities with your named partners to position Datadog as the observability & cloud security platform of choice for their install base, programs & contracts.  This is a great opportunity for you to join a high-growth cloud software company and help blaze the path for our company's expansion.

 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:

• Own the top cloud security focused channel partner relationships
• Drive net new and expansion revenue through our top established and strategic cloud security partners
• Recruit and onboard new security focused partners aligning to Datadog’s Ideal Partner Profile
• Oversee Datadog Partner Agreement process and if needed, collaborating with Datadog legal
• Work with partners to develop partner-led insertion points, including joining solution and services offerings.
• Enable and activate existing partners through training, planning and joint selling activities
• Coordinate the technical and marketing aspects of integrated partnership launches
• Host regular business reviews with partners to drive accountability and report on success metrics
• Generate partner-sourced net-new sales pipeline and revenue
• Variable commissions will be 40% of the On Target Earnings

Who You Are:

• 5+ years of partner-facing, quota-carrying experience in the cyber security and/or cloud security SaaS industry
• Proven experience in driving sales opportunities from lead generation to closure, effectively negotiating agreements and building long-lasting partnerships
• Understanding of, and exposure to working with, the leading cloud hyperscalers
• Ability to quickly understand technical concepts and architectural scenarios, and explain them to others verbally and in writing
• Willing to travel 30-40% of the time
• Native in Portuguese and professional English and Spanish language skills

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:

• Entrepreneurial mindset with a passion for taking initiatives from ideation to impact
• Passion for fast-paced, sometimes unpredictable growth culture and environment
• Experience in identifying market opportunities with a track record of initiating go-to-market plans and sales follow-through
• Background in SaaS and / or consumption based software platforms
• Experience with systems management or monitoring
• Experience with partnerships supporting Containers and/or DevOps, particularly in a cloud environment
• Technical background/education

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

As an Enterprise Sales Engineer, you will provide technical expertise through sales presentations, product demonstrations, and supporting technical evaluations (POVs). Sales Engineers help qualify and close opportunities with customers and partners and have a voice with the product team to help prioritize features based on input from customers, competitors, and partners.

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:

• Partner with the Sales team to articulate the overall Datadog value proposition, vision and strategy to customers
• Own technical engagement with customers during the trial phase. Communicate Datadog’s value based on activities and work with customers on any identified issues or concerns to successful conclusion
• Technically close complex opportunities through advanced competitive knowledge, technical skill, and credibility
• Deliver product and technical briefings / presentations to potential clients
• Maintain accurate notes and feedback in CRM regarding customer input both wins and losses
• Proactively engage and communicate with customers and Datadog business/technical teams regarding product feedback and competitive landscape

 Who You Are:

• Passionate about educating customers on observability risks that are meaningful to their business, and able to build and execute an evaluation plan with a customer
• Someone with strong written and oral communication skills. This role requires an ability to understand and articulate both the business benefits (value proposition) and technical advantages of our offering
• Experienced in programming/scripting with any of the following: Java, Python, Ruby, Go, Node.JS, PHP, and .NET etc.
• Someone with a minimum of 3+ years in a Sales Engineering or DevOps Engineering role
• Able to sit up to 4 hours, traveling to and from client sites 
• Able to travel via auto, train or air up to 45% of the time

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

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

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

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

Modelo de atuação: REMOTO - BR

Formato de contratação: CLT

Descrição do Cargo

Responsabilidades

• Desenvolvimento de soluções Salesforce escaláveis utilizando LWC, Apex e integrações REST.
• Configuração e customização do Service Cloud alinhadas às necessidades do negócio.
• Atuação sênior em todo o ciclo de desenvolvimento, com foco em qualidade, autonomia e boas práticas.

Requisitos

• Experiência sólida em Lightning Web Components (LWC), desde o design até a entrega.
• Domínio em Apex e integrações com sistemas externos via REST APIs, Platform Events ou CDC.
• Experiência com Salesforce Service Cloud e funcionalidades padrão da plataforma.
• Vivência com CI/CD, versionamento de código (Git) e ferramentas DevOps (ex.: Jenkins).
• Experiência em metodologias ágeis.Conhecimento em Apex Unit Tests, alto coverage, Governor Limits e Large Data Volumes (LDV).
• Capacidade de atuar de forma independente, com forte senso analítico e foco em qualidade técnica.
• Experiência no uso de ferramentas de IA para desenvolvimento, como GitHub Copilot. 

Oferecemos

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

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

#LI-NP1

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

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

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

Modelo de atuação: Remoto - BR

Formato de contratação: CLT

Descrição do Cargo

• O profissional será responsável por desenvolver e evoluir soluções Salesforce robustas, atuando desde a concepção técnica até a entrega, com foco em Service Cloud, integrações e boas práticas de desenvolvimento.

Responsabilidades

• Desenvolver soluções customizadas em Salesforce utilizando LWC, Apex e Flows, atendendo a requisitos complexos de negócio.
• Implementar e manter integrações com sistemas externos, garantindo escalabilidade e qualidade técnica.
• Atuar de forma autônoma em demandas complexas, colaborando com times de negócio, BAs e stakeholders.

Requisitos

• Experiência comprovada no desenvolvimento de Lightning Web Components (LWC) end-to-end.
• Conhecimento sólido em Apex, incluindo integrações via REST APIs, Platform Events ou CDC.
• Experiência com Salesforce Service Cloud e suas funcionalidades padrão.
• Vivência com CI/CD, versionamento (Git), estratégias de branch e ferramentas DevOps (ex.: Jenkins).
• Atuação em ambientes Ágeis (Scrum/Kanban).
• Escrita de Apex Unit Tests, garantindo alta cobertura de código e otimização para Governor Limits e Large Data Volumes (LDV).
• Perfil analítico, autonomia técnica e forte capacidade de resolução de problemas.
• Experiência no uso de ferramentas de IA para apoio ao desenvolvimento, como GitHub Copilot.
• Experiência prévia em projetos de grande porte ou ambientes corporativos complexos.
• Vivência com boas práticas de arquitetura Salesforce.
• Experiência em apresentações técnicas e interação direta com stakeholders.Certificações Salesforce (em andamento ou concluídas).

Oferecemos

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

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

#LI-NP1

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 Us

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

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

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

About the team

Be part of the SOx Team, contributing to continuous improvements in the IT General Controls (ITGC), Automated and IT-dependent controls environment at Nubank. The team ensures compliance with SOx requirements and international frameworks (e.g., COSO, COBIT, PCAOB standards), partnering with Engineering, Information Security, IAM, Platform, Data, Controllership, Finance, and Product squads to guarantee that technology processes and components supporting financial reporting are properly designed, operated, and evidenced.

We act as 2nd Line of Defense for SOx, challenging and supporting 1LoD teams in the correct and efficient execution of internal controls in line with Nubank’s Internal Controls and SOx IT Methodology.

About the role

As a SOx IT Specialist, you will be a senior individual contributor and subject-matter expert for IT controls over financial reporting, with strong autonomy and influence across multiple domains and countries.You will:

• Own and lead the assessment of the company’s SOx IT control environment, focusing on Logical access management, Change management, IT operations, automated controls, IT-dependent manual controls, and cybersecurity.

• Drive scoping and risk assessment of IT components (third‑party applications, internal services/microservices, automations, infrastructure, datasets, notebooks, etc.) that are relevant to ICFR, applying Nubank’s SOx IT scope methodology.

• Perform and review walkthroughs and design assessments for ITGCs, IT-dependent controls, automatic controls, challenging control design, coverage of risks, and evidence quality.

• Plan and execute Tests of Design (ToD) and Tests of Effectiveness (ToE) for IT controls.

• Coordinate remediation and action plans with Engineering, InfoSec, IAM, and business teams, ensuring robust root-cause analysis, sustainable fixes, and timely closure of IT control deficiencies and audit findings.

• Act as primary counterpart for external auditors and Internal Audit on SOx IT topics (scope, methodology, sampling, exceptions, deficiencies), supporting walkthroughs, evidence requests, and technical discussions.

• Contribute to the continuous improvement of SOx IT methodology, templates, and guidelines (e.g., sampling, population completeness, IPE standards, quality review checklists).

• Help design and challenge IT control automation and monitoring (e.g., control bots/Controlinhos, dashboards, alerts) to increase coverage and reduce manual effort and error risk.

• Mentor and support junior analysts on ITGC concepts, testing techniques, documentation standards, and interaction with tech squads, raising the overall quality bar of the team.

• Promote synergy and governance between SOx, Engineering, InfoSec, IAM, Controllership, and other stakeholders through routines, trainings, workshops, and forums focused on IT controls.

Basic Qualifications

• 6+ years of experience in IT Audit, IT Risk, IT Compliance, or SOx IT (e.g., Big 4, internal audit, financial institutions, fintechs, or tech companies).

• Solid knowledge of SOx 404, PCAOB standards, COSO, and main IT control frameworks (e.g., COBIT, NIST), especially as they relate to ICFR.

• Proven hands-on experience with IT General Controls over:

• Logical access (IAM, SSO/IdP, SoD, privileged access, user lifecycle);

• Change management (code review, approvals, segregation of duties, emergency changes);

• IT operations (job processing, interfaces, monitoring, incident/problem management).

• Experience assessing IT controls in cloud and modern architectures (e.g., AWS, microservices, APIs, data platforms, CI/CD pipelines).

• Experience with enterprise/SaaS applications relevant to financial reporting (e.g., ERP such as SAP/Oracle, HR/Payroll, Treasury, core banking/ledger, reconciliation tools).

• Experience evaluating SOC 1 Type 2 reports, complementary user entity controls, and their impact on SOx.

• Strong ability to analyze technical evidence (logs, configurations, scripts, SQL/queries, access listings) and connect it to control objectives and financial risks.

• Excellent skills in structuring and documenting workpapers (narratives, flowcharts, RCMs, ToD/ToE, conclusions) in English.

• Fluent English (written and spoken), able to lead discussions and defend positions with external auditors and global stakeholders.

• Strong communication and organizational skills, and the ability to work independently.

Preferred Qualifications

• Experience working in multicultural teams across different countries and time zones.

• Previous experience in digital bank, fintech, or technology‑driven environments, with exposure to microservices, event‑driven architectures, and DevOps practices.

• Hands-on experience with identity and access management tools (e.g., Okta or similar), cloud platforms (e.g., AWS), and version control/CI-CD tools (e.g., GitHub, pipelines).

• Experience with process and control improvement, including automation, use of data/analytics for testing, or control monitoring solutions.

• Comfort in reading, interpreting, and analyzing data (e.g., SQL, notebooks, dashboards) to support control testing and investigations.

• Previous experience in Big 4 and/or regulated financial institutions.

• Knowledge of business operational processes.
  

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/ 

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

About Us

Nu is one of the largest digital financial platforms in the world, with more than 127 million customers across Brazil, Mexico, and Colombia. Guided by our mission to fight complexity and empower people, we are redefining financial services in Latin America and this is still just the beginning of the purple future we're building.

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

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

About the role

At Nubank, protecting customer data is a foundational element of our relationship with over 100 million users. As a Data Security Analytics Engineer, you will be responsible for designing and evolving the secure infrastructure that allows our teams to innovate at scale while maintaining the highest standards of privacy and compliance. You will lead the integration between Data Engineering and Security, ensuring that sensitive data is classified, governed, and monitored across our global analytics environment. Your mission is to balance risk reduction with high usability and performance, ensuring that data security is embedded by design in every pipeline and analytical layer.

You'll be responsible for

• Designing Secure Data Architectures: Independently build and evolve secure data ingestion, transformation, and analytics pipelines that support sensitive and regulated data across all analytics environments.
• Implementing Platform-Level Security: Drive the rollout of improvements such as classification tags, policy-driven access controls, and automated validations to reduce risk without compromising system performance.
• Governing Data Models: Own the design and evolution of data models and semantic views that enforce security and privacy requirements by default.
• Operationalizing Metadata and Lineage: Lead initiatives to track data lineage and sensitivity metadata across critical sources, enabling scalable governance and observability.
• Executing Audits and Remediation: Actively lead access reviews and remediation efforts, identifying gaps in least-privilege enforcement and proposing structural improvements.
• Monitoring and Detection: Design and maintain dashboards, logs, and alerts to detect anomalous data access, misuse patterns, or risky joins across analytics workloads.
• Incident Response and Investigation: Investigate complex access anomalies or security incidents, performing root cause analysis and proposing preventive controls in collaboration with Security Engineering and Data Platform teams.
• Building Internal Tooling: Maintain and develop tooling that enables secure data usage at scale, such as permission helpers and metadata validation frameworks.

We are looking for a person who has

• Data Engineering Expertise: Solid understanding of ETL/ELT fundamentals, data warehouses, and distributed systems such as BigQuery, Databricks, Kafka, or Redshift.
• Security Control Implementation: Strong working knowledge of encryption, masking, tokenization, classification, and fine-grained access control (RBAC/ABAC).
• Advanced Analytical Skills: High proficiency in SQL and experience designing analytical data models with a focus on performance, correctness, and sensitive data handling.
• Production-Grade Programming: Proficiency in writing maintainable and testable code in at least one language, such as Python, Scala, Clojure, or Go.
• Infrastructure and DevOps Knowledge: Familiarity with CI/CD pipelines, Infrastructure as Code, and containerized environments like Docker and Kubernetes.
• Data Observability: Experience in surfacing actionable metrics and logs for security monitoring and incident investigation.
• Strategic Communication: Ability to translate security and regulatory requirements into concrete engineering solutions while engaging with technical and non-technical stakeholders.
• Cloud Proficiency: Exposure to cloud security practices in large-scale environments, specifically AWS or GCP.

Location for this opportunity (City, Country)

• São Paulo, Brazil 
• Campinas, Brazil 
• Rio de Janeiro, Brazil 
• Belo Horizonte, Brazil 

Our Benefits

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

Work Model for this Role

Option 1: Hybrid 2-3 times/week: Our hybrid work model brings us to the office at least twice a week, on strategic days designed to maximize team connection and collaboration. For more details, visit https://building.nubank.com/nu-hybrid-work-model/ 

WHAT YOU’LL DO

As our customer base continues to grow with the excitement around BrazeAI, we’re expanding our team! Join our Forward-Deployed Data Scientist group of creative technical experts who partner with customers to ensure their success. In this role, you will:

• Collaborate with customer Analytics/BI teams and Braze colleagues on implementations, including use case definition, data integration, pipeline setup, and ML model configuration
• Extend product capabilities by improving architecture and developing reusable data pipelines, APIs, and components
• Work closely with the RL pipeline development team to refine and advance our reinforcement learning (self-learning) algorithms
• Contribute to shaping BrazeAI's product strategy and roadmap through customer-facing insights and technical expertise
• Provide ongoing technical expertise to ensure successful adoption, measurable outcomes, and long-term customer success

WHO YOU ARE

• Education: Bachelor’s degree in Computer Science, Data Science, Mathematics, Engineering, or a related field required; Master’s or PhD in a relevant technical discipline preferred
• Experience: 3–5+ years of hands-on experience as a Data Scientist, Machine Learning Engineer, or similar role working with large-scale data and production environments. Experience in customer-facing or consulting roles is strongly preferred
• Strong technical expertise: Proficient in Python (Pandas) and core ML libraries (TensorFlow, Keras, scikit-learn, CatBoost, XGBoost). Skilled in SQL for querying/manipulating datasets, with experience in machine learning pipelines and model deployment
• Engineering best practices: You write well-structured, modular, documented code; follow strong development practices (Git, CI/CD, testing frameworks, type-hinting, code reviews); and can build scalable, maintainable solutions
• Nice-to-have skills: Experience with DevOps tools (Airflow, Kubernetes, Terraform, GCP), data integration/ETL and pipeline optimization, or reinforcement learning algorithms
• Customer collaborator: Comfortable working directly with clients and cross-functional teams, aligning stakeholders, and translating technical concepts into clear business value
• Entrepreneurial problem-solver: You identify opportunities and risks early, troubleshoot obstacles, and drive creative solutions
• Continuous learner: You stay current with industry trends, explore new tools/technologies, and thrive in environments that push you to grow
• Clear communicator: Able to explain complex technical ideas persuasively to both technical and non-technical audiences

WHAT YOU’LL DO

As our customer base continues to grow with the excitement around BrazeAI, we’re expanding our team! Join our Forward-Deployed Data Scientist group of creative technical experts who partner with customers to ensure their success. In this role, you will:

• Collaborate with customer Analytics/BI teams and Braze colleagues on implementations, including use case definition, data integration, pipeline setup, and ML model configuration
• Extend product capabilities by improving architecture and developing reusable data pipelines, APIs, and components
• Work closely with the RL pipeline development team to refine and advance our reinforcement learning (self-learning) algorithms
• Contribute to shaping BrazeAI's product strategy and roadmap through customer-facing insights and technical expertise
• Provide ongoing technical expertise to ensure successful adoption, measurable outcomes, and long-term customer success

WHO YOU ARE

• Education: Bachelor’s degree in Computer Science, Data Science, Mathematics, Engineering, or a related field required; Master’s or PhD in a relevant technical discipline preferred
• Experience: 3–5+ years of hands-on experience as a Data Scientist, Machine Learning Engineer, or similar role working with large-scale data and production environments. Experience in customer-facing or consulting roles is strongly preferred
• Strong technical expertise: Proficient in Python (Pandas) and core ML libraries (TensorFlow, Keras, scikit-learn, CatBoost, XGBoost). Skilled in SQL for querying/manipulating datasets, with experience in machine learning pipelines and model deployment
• Engineering best practices: You write well-structured, modular, documented code; follow strong development practices (Git, CI/CD, testing frameworks, type-hinting, code reviews); and can build scalable, maintainable solutions
• Nice-to-have skills: Experience with DevOps tools (Airflow, Kubernetes, Terraform, GCP), data integration/ETL and pipeline optimization, or reinforcement learning algorithms
• Customer collaborator: Comfortable working directly with clients and cross-functional teams, aligning stakeholders, and translating technical concepts into clear business value
• Entrepreneurial problem-solver: You identify opportunities and risks early, troubleshoot obstacles, and drive creative solutions
• Continuous learner: You stay current with industry trends, explore new tools/technologies, and thrive in environments that push you to grow
• Clear communicator: Able to explain complex technical ideas persuasively to both technical and non-technical audiences

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

Engenheiro de Inteligência Artificial

Responsabilidades:

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

Requisitos:

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

Diferenciais:

• Experiência anterior com sistemas de conhecimento baseados em grafos.

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

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

POR QUE CAPCO:

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

PRÓXIMOS PASSOS:

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

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.

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.

Principais 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. 

Requisitos:

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

Principais Atividades:

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

Por que a Capco:

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

Próximos Passos:

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

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

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