We are seeking a Software Specialist to serve as a technical reference in our fraud prevention and cybersecurity systems. If you are passionate about solving complex engineering challenges, optimizing high-performance systems, and writing code that inspires the entire team, this opportunity is for you. Responsibilities: Design and implement advanced Machine Learning and LLM-based solutions for fraud and threat detection. Integrate predictive models into data processing pipelines with a focus on low latency and scalability. Monitor model performance and effectiveness, adjusting strategies according to evolving fraud patterns. Lead the design and implementation of critical components in anti-fraud systems. Optimize data processing in Python and complex SQL queries in PostgreSQL/Oracle. Develop and maintain robust, secure REST APIs (FastAPI, Flask). Act as a technical authority on code, ensuring best practices and high-quality architecture. Collaborate with frontend, product, and data teams to deliver cohesive solutions. Mentor developers and conduct detailed code reviews. Produce clear and comprehensive technical documentation. **Requirements:** Essential Requirements: 8+ years of experience in robust, scalable backend development. Expert-level Python proficiency, including asynchronous programming and frameworks (FastAPI, Flask). In-depth knowledge of data modeling and SQL query optimization (PostgreSQL/Oracle). Solid experience with microservices, REST APIs, and design patterns. Strong experience with TypeScript and React. Practical experience with Docker and familiarity with CI/CD. Preferred Qualifications: Experience with Redis for caching and latency optimization. Knowledge of image/document processing (Pillow, OpenCV, PyMuPDF). Hands-on experience with observability tools (Elastic APM, Prometheus, Grafana).
João Silva
Indeed · HR
João Silva
Indeed · HR
