Staff Engineer

Academic background oriented toward computer science, engineering, or software development disciplines. Development using Java, Spring Boot, PostgreSQL, Kafka and AWS. Experience in Python is a plus. Experience with asynchronous programming. Track record of success in hands-on backend engineering positions. Experience working with domains of medium to high complexity. A solid understanding of how web and mobile applications work including security, session management, and best development practices. Knowledge of relational database systems and Object Oriented Programming. Knowledge of Domain-Driven Design (DDD); familiarity with microservice architecture is a plus. Experience conducting code reviews, driving knowledge sharing, and promoting collaborative development practices. Ability to work and thrive in a fast-paced environment, learn rapidly and master diverse web technologies and techniques. Proven ability to design complex distributed applications built for high performance and throughput while being scalable and reliable. Practical experience applying AI frameworks in development projects. Demonstrated experience profiling and performance tuning Java applications, and using monitoring tools for production application monitoring. Strategic thinking and problem-solving skills, with a proactive approach to identifying and addressing technical and process gaps. High degree of autonomy and accountability, capable of leading technical decisions and driving initiatives with minimal supervision. Proven mentorship capabilities, fostering the growth of junior and mid-level engineers through guidance, feedback, and pairing. Strong communication skills, with the ability to effectively articulate complex technical ideas to both technical and non-technical stakeholders. Ability to collaborate cross-functionally with different chapters like engineering, frontend, product, design, backend, and infrastructure to deliver high-impact solutions. Comfortable navigating ambiguity and complexity, with a mindset focused on continuous learning and system improvement. Demonstrated influence in shaping engineering practices and elevating team-wide technical standards. Alignment with company values: ownership, excellence, adaptability, and innovation. Hands-on experience or practical familiarity with one or more core financial domains such as lending, payments, credit cards, open finance, fraud prevention, merchant acquiring, or investment services. Strong understanding of key operational workflows, integration patterns, and data flows within these domains is highly valued, especially in contexts where backend decisions impact performance, compliance, or financial accuracy at scale. Led or significantly contributed to the architecture and development of backend systems powering critical financial use cases, such as real-time transaction processing, loan management engines, payment orchestration layers, settlement and reconciliation services, or KYC/AML-compliant onboarding pipelines. Experience designing secure, auditable, and scalable APIs for internal and external consumers. Ability to translate complex regulatory requirements (e.g., PCI-DSS, GDPR, LGPD) into resilient, compliant, and high-performing backend architectures.

Lead technical initiatives, shaping project strategy and ensuring successful execution of medium to large-scale backend projects. Deliver backend solutions that balance business goals, scalability, and operational efficiency. Operate autonomously, often driving key project segments or entire projects to completion, aligning with business goals and customer needs. Mentor and guide engineers across levels, supporting their technical development and helping grow a culture of excellence across teams. Champion best practices in coding, system design, and architecture, contributing to continuous improvements in engineering methodologies. Work closely with cross-functional teams to deliver seamless integrations and maintain optimal system performance. Deliver high-quality, innovative solutions that enhance system performance, scalability, and user experience. Support the development of junior or semi-senior engineers by fostering a culture of collaboration, continuous learning, and shared ownership. Drive the evolution of engineering practices by introducing improvements, promoting innovation, and sharing technical expertise across teams. Solve technical problems of the highest scope, complexity, and ambiguity. Promote the adoption of AI-assisted engineering practices within your squad and chapter, leveraging tools for code generation, automated refactoring, test case creation, and technical documentation. Identify opportunities where AI can enhance developer productivity, code quality, and team velocity. Drive innovation within your team by experimenting with new approaches and boldly solving complex engineering challenges.