About The Position

We are looking for a Principal Software Architect to scale with us. At Escale, technology, data, and Artificial Intelligence are at the core of our strategy. We develop solutions that transform complex digital acquisition journeys into smarter, more efficient, and scalable experiences. Here, we work with an AI First mindset, data-driven decisions, and autonomy to propose and evolve solutions in production. We value engineering excellence, collaboration among specialists, and leadership in building robust and scalable systems. If you are driven by challenges, enjoy thinking about architecture, and want to transform technology into real impact, your next step can start here. #BePartOfTheClimb: come find out what we expect from you. About the team: You will be part of the Engineering team, responsible for developing and evolving systems, platforms, and solutions that support Escale's operation and growth. We work full-stack, focusing on scalability, operational efficiency, reliability, and intensive use of Artificial Intelligence. This position will have a transversal role, influencing multiple teams and contributing directly to the architectural evolution and technical direction of the organization.

Requirements

  • Experience in architecture and development of distributed, resilient, and high-scalability systems.
  • Mastery of Software Architecture (DDD, Event Driven Architecture, Clean Architecture, and Microservices).
  • Practical experience with GenAI applications in production.
  • Experience with integration of LLMs, autonomous agents, chatbots, and intelligent flows.
  • Advanced practical experience in backend application development using Node.js and TypeScript in high-complexity environments.
  • Proven track record of hands-on (in code) development, design, and evolution of critical production solutions.
  • Experience with event-driven architectures, APIs, automations, and large-scale systemic integrations.
  • Mastery of AWS Cloud (Lambda, SQS, SNS, RDS, and S3).
  • Experience with relational and non-relational databases (SQL and NoSQL).
  • Track record acting as a technical reference with unified influence across multiple teams and high-complexity environments.
  • Ability to make high-impact architectural decisions considering scalability, resilience, and engineering feasibility.
  • Experience leading complex technical discussions and defining practical technological drivers.
  • Involvement in defining global architecture and technical evolution of strategic platforms and initiatives.

Nice To Haves

  • Experience with RAG, embeddings, evaluation, and observability of GenAI applications.
  • Experience with generative AI frameworks and ecosystems.
  • Experience with data pipelines and event-driven processing.
  • Practical knowledge in DevOps, SRE, and Platform Engineering.
  • Experience in high-scale and high-volume environments.
  • Experience influencing technical and architectural decisions across multiple teams and leading organizational engineering initiatives.
  • Experience participating in the definition of infrastructure technology strategies and platform evolution.

Responsibilities

  • Define medium and long-term technical and architectural drivers for the evolution of Escale's platforms and AI First initiatives.
  • Lead the architecture and evolution of scalable solutions with a focus on Artificial Intelligence, autonomous agents, intelligent automations, and GenAI-based applications.
  • Drive engineering decisions involving architecture, scalability, resilience, observability, performance, and operational efficiency.
  • Act transversally, supporting multiple teams in complex engineering, architecture, and technological evolution challenges.
  • Act hands-on in the construction, coding, and evolution of critical solutions, ensuring the practical implementation of designed architectural patterns.
  • Design resilient architectures for event processing, automations, and critical business flows.
  • Define technical standards and best practices for development of distributed applications, integrations, and event-driven systems.
  • Lead architectural decisions involving backend, cloud infrastructure, observability, AI Engineering, and distributed platforms.
  • Actively contribute to the development of strategic applications, integrations, and components of the core business, maintaining close proximity to technical execution in code.
  • Architect solutions in AWS considering performance, security, reliability, governance, and cost efficiency.
  • Translate business scale and volume challenges into high-performance, data-driven, and AI-oriented architectural solutions.
  • Influence decisions and technical directions with Engineering and Product leadership.
  • Establish practical guidelines for the evolution of applications based on LLMs, RAG, intelligent agents, and generative AI ecosystems.
  • Actively participate in the validation, deployment, and evolution of solutions in production, ensuring fine alignment between architectural design and real implementation.
  • Elevate the organization's technical maturity through best practices in engineering, testing, documentation, observability, and architectural quality.
  • Act as the primary technical and engineering reference in discussions related to architecture, AI Engineering, scalability, and platform evolution.

Benefits

  • Flexible Meal and Food Voucher (iFood)
  • Health and Dental Assistance
  • Childcare Assistance
  • Extended Parental Leaves
  • Partnership with discounts for Pet Care
  • Life Insurance
  • Incentive and partnerships for exclusive discounts in specializations at FIAP, APETI, and SENAC
  • Totalpass
  • Internal psychological support
  • Partnership with SESC
  • Wellhub
  • Telemedicine and exams (Starbem, Avus, and Dasa)
  • Discounts at partners
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