• Realizar desenvolvimento de microserviços e APIs dentro de um grande cliente do mercado de pagamentos • Ajudar outras pessoas do time com dúvidas de negócio e tecnologia • Ajudar tech lead com pequenas alterações em documentação e processos • Destreza para falar com o cliente de forma clara e segura • Tomar iniciativa para resolver questões do dia a dia do time • Participação de ritos com nossos clientes • Interação com o time para compreensão da solução de negócio e técnica • Levantamento das atividades técnicas • Implementação de APIs e microsserviços

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description As a pivotal member of our nascent engineering team, you'll: - Work closely with the CEO and CTO to bring products from 0 to 1 - Have the autonomy to steer key architectural decisions and institute engineering best practices - Dive into exciting greenfield initiatives: from crafting intuitive UIs for customer facing products and internal tools to facilitate human-in-the-loop AI, to developing scalable backend systems and state-of-the-art machine learning models - Shape our company values and define our engineering culture - Immerse in company-building insights. We are committed to being transparent on fundraising, market strategies, and product evolution. Ideal for those aspiring to start their own companies Qualifications - Bachelor’s degree in Computer Science or related fields, or equivalent hands-on experience in a software development role - 4+ years of deep experience with React, NextJS, Typescript, or 5+ years of overall frontend development Requirements - Ownership & Drive: Take full responsibility for project deliverables, demonstrate initiative, and proactively solve challenges - Technical Mastery: 4+ years of deep experience with React, NextJS, Typescript, or 5+ years of overall frontend development - Problem-Solving: Navigate engineering tradeoffs effectively, balancing speed with quality - Design Insight: Ability to interpret product discussions, identify UI/UX needs, and create initial mock-ups or wireframes Benefits - Flexibility: Fully remote within the US - Competitive compensation: $120,000 - $200,000 with a generous equity package of 0.25% - 1% - Healthcare: Employer covers 99% of medical, vision, and dental insurance. Partial coverage for dependents - Time-off: Unlimited PTO

Role Description Architect secure, scalable, cloud-native solutions using Azure services (App Services, Functions, AKS, Event Grid/Event Hub, API Management, etc.). - Lead application modernization and migration programs from on premise or legacy platforms to Azure. - Apply architectural patterns such as microservices, serverless, event-driven, and domain-driven design. - Establish governance, best practices, reference architectures, and architecture review processes. - Integrate agentic components into enterprise applications with monitoring, observability, human-in-the-loop flows, and feedback loops. - Architect and implement GenAI solutions using frameworks such as LangChain, LangGraph, AutoGen, crewAI, and the OpenAI Agent SDK. - Design production-grade AI solutions such as Intelligent document processing, Automated content generation, Enterprise search assistants, Multi agent and decision-support systems. - Implement RAG, prompt engineering, fine-tuning, and orchestration techniques to build accurate and reliable AI systems. Qualifications - 14–18 years of experience in cloud architecture, enterprise applications, and/or AI/ML engineering. - Strong hands-on experience in Azure cloud services, networking, security, and infrastructure. - Practical experience with GenAI frameworks (LangChain, LangGraph, AutoGen, crewAI, OpenAI Agent SDK). - Proficiency in Python for AI/ML development; familiarity with REST, GraphQL, and APIs. - Solid experience with LLMs, RAG workflows, prompt design, vector databases, and embeddings. - Background in microservices, serverless architectures, and distributed systems. - Experience using Docker, Kubernetes, and container-based ecosystems. - Working knowledge of CI/CD pipelines, version control, automation, and MLOps concepts. - Ability to translate business needs into scalable architecture and deliver measurable transformation outcomes. Benefits - Flexible work arrangements to maintain a healthy work-life balance. - Career growth programs and diverse professions to explore a world of opportunities. - Valuable certifications in the latest technologies such as Generative AI.

• Manage and coach senior engineers organized around business domains — acquisition, care, and billing/infrastructure • Your job is to give people what they need to do their best work — context, clarity, feedback, and air cover • Run meaningful 1:1s focused on growth and removing blockers, not status updates • Design how the team works: • We're growing from one team to three domain-aligned pods. You'll figure out how that actually works — coordination patterns, shared rituals, information flow • Evolve team practices as AI tools reshape engineering workflows. There's no playbook — you'll build it with the team • Create just enough structure to stay aligned without slowing anyone down • Build the team: • Drive hiring for open engineering roles • Help shape team structure as we grow from one team to three domain-aligned pods • Ensure we're hiring senior people who raise the bar • Stay technical — for a reason: • You'll spend real time writing code — because AI tools are fundamentally changing how engineers work and we're all figuring it out together, and because sometimes the best way to unblock the team is to dive in yourself. • You need hands-on experience to be a credible coach — understanding the challenges, the breakthroughs, and where people get stuck. Your role is to help the team navigate this shift, not to tell them how to do it.