Role Description Lead the design and development of high-performance backend services in Go, ensuring scalability, reliability, and clean architecture. - Drive key architectural decisions within a microservices ecosystem. - Evaluate technology choices and define integration patterns and best practices. - Profile applications, optimize CPU and memory utilization, and fine-tune Go's garbage collector. - Leverage concurrency primitives to achieve maximum performance. - Design efficient data models and optimize complex queries and indexing strategies in PostgreSQL/MySQL. - Ensure high performance under intensive read/write workloads (thousands of QPS). - Build observability into services by implementing metrics, logging, and distributed tracing. - Participate in production incident investigations and perform root cause analysis across application code, networking, and operating system layers. - Conduct thorough code reviews and share technical expertise. - Mentor engineers and promote engineering best practices across the team. - Collaborate closely with DevOps, QA, Product, and other engineering teams to deliver production-ready features quickly, safely, and reliably. Qualifications - 4–5+ years of commercial experience using Go as the primary programming language. - Deep understanding of Go internals, including memory management, scheduler, maps, channels, garbage collection, sync.Pool, and atomic operations. - Proven experience designing, building, and operating large-scale distributed systems and microservices in high-load production environments. - Strong expertise in PostgreSQL or MySQL, including query optimization, indexing strategies, replication, clustering, and resolving lock contention in multi-terabyte databases. - Hands-on experience with messaging platforms such as NATS and Apache Kafka. - Solid understanding of their architectural trade-offs, including latency and persistence. - Solid understanding of Linux internals, networking fundamentals, virtualization, and containerization technologies (Docker/Kubernetes). - Ability to troubleshoot production issues effectively. Benefits - 20 vacation days and 5 family days yearly. - Flexible start to the workday. - Support from a professional corporate coach and psychologist. - Regular internal and external activities, workshops, trips, and corporate events. - Access to our internal knowledge base, meetups, and team-building activities. - Ongoing training in new technologies and continuous professional development support.

• As a Senior Fullstack Software Engineer, you will be a key contributor to the evolution of the Billing system of Brazil’s largest SaaS. • You will work end-to-end, building accessible and high-performance interfaces in React, and developing robust, scalable backend services in Ruby on Rails. • Your role includes ensuring the technical integrity of this strategic pillar, influencing architectural decisions that connect the user experience to the efficiency of financial processes. • We expect you to be a complete technical reference, mentoring colleagues and fostering a culture of engineering excellence across the stack.

• Lead-level backend ownership • AI-first delivery • Architecture decisions • Design and own backend services in NestJS and TypeScript, from schema to production • Make architecture decisions independently, with a focus on scalability, maintainability, and reliability • Build and maintain GraphQL APIs across a microservices environment • Own database design, optimization, and reliability in Postgres • Define technical direction, not just implementation details • Set and enforce quality standards across both AI-generated and manually written code • Translate ambiguous product needs into clear technical solutions • Contribute to system design, infrastructure decisions, testing strategy, and developer productivity • Operate in an AI-first workflow without compromising engineering standards

• Lead-level backend ownership • AI-first delivery • Architecture decisions • Design and own backend services in NestJS and TypeScript, from schema to production • Make architecture decisions independently, with a focus on scalability, maintainability, and reliability • Build and maintain GraphQL APIs across a microservices environment • Own database design, optimization, and reliability in Postgres • Define technical direction, not just implementation details • Set and enforce quality standards across both AI-generated and manually written code • Translate ambiguous product needs into clear technical solutions • Contribute to system design, infrastructure decisions, testing strategy, and developer productivity • Operate in an AI-first workflow without compromising engineering standards