Tech Lead (Fraud)

Hands-on experience in backend (Java, Spring Boot, Kafka, PostgreSQL, AWS) Experience leading teams and working in product-driven companies Experience in Python is a plus Experience with asynchronous programming Experience working with domains of medium to high complexity 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) and experience designing or maintaining microservices-based systems Practical experience applying AI frameworks in development projects Solid understanding of the software development lifecycle and experience with agile methodologies

Define team objectives and project goals, ensuring alignment with the company's broader strategies and objectives. Facilitate communication within the squad and across technical and non-technical teams, ensuring alignment and timely delivery of high-quality outcomes. Actively participating in the recruitment, training, and development of team members, fostering a productive and growth-oriented environment. Collaborating with other technical leaders, aligning technology strategies and contributing to the evolution of the company's technical direction. Ensuring the technical quality of deliverables, providing guidance and support in solving complex problems. 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. Guide conversations to remove blockers and encourage collaboration in your team. Collaborate with the Product Owner to ensure technical initiatives, such as refactoring, performance tuning, and tech debt—are properly scoped and prioritized within the product backlog. Ensure implementation of quality and observability standards, including automated testing, monitoring, alerting, and logging across the development lifecycle. Lead retrospectives and continuous improvement efforts, driving team evolution through feedback and actionable insights. Support team staffing decisions by matching people to tasks based on skills, priorities, and development opportunities. Support the definition and follow-up of individual development goals aligned with team objectives and business priorities.