Staff Software Engineer - IPO (Identity & Performance Optimizations)

• Design and develop robust, scalable software systems that integrate Machine Learning models into production environments
• Collaborate closely with product managers, data scientists, and business stakeholders to understand business problems and translate them into technical solutions
• Evaluate new technologies, frameworks, and tools, and drive their adoption where appropriate to solve real business challenges
• Mentor and guide junior engineers and peers through technical leadership and knowledge sharing
• Advocate for best practices in software engineering, and system architecture
• Continuously learn and stay up-to-date with advancements in software engineering, infrastructure, and AI technologies
• Lead technical design discussions and contribute to the strategic direction of the technology roadmap
• Close cross functional collaboration with different, non-technical functions like Account Management, Compliance, Operations etc

• At least 10-12 years of extensive industry hands-on experience in Software Engineering and building data intensive applications, including system design, architecture, and development
• Experience with building scalable, reliable, and low latency systems
• Strong programming skills in Java
• Experience in incident management
• Experience working with and using SQL and NoSQL databases like Postgres and Cassandra
• Knowledge of streaming & queuing frameworks
• Deep curiosity and drive to continually learn new technologies and techniques
• Familiarity with data engineering concepts, big data tools (like Spark), and distributed data architectures
• Passion for applying technology to solve real business problems in a pragmatic and impactful way
• A good product sense and the ability to understand how research can translate into valuable applications
• Excellent communication skills and a collaborative mindset

Python is a plus

• Direct access to massive global datasets (e.g., payments, identity data) and the ability to see your work have an immediate impact at scale
• Environment of ownership and speed, where a focused research team can make a significant difference
• Be at the forefront of bridging AI and fintech, shaping how these two critical areas intersect