Requirements

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. (Python is a plus)
Experience in incident management.
Experience working with and using SQL and NoSQL databases like Postgres and Cassandra.
Knowledge of streaming & queuing frameworks like Kafka and ReddisMQ.
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.

What You'll Be Doing

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.

This is an exceptional opportunity to join a solid, established company with a startup mindset, characterized by small teams, direct communication, and work on important challenges.
You’ll have direct access to massive global datasets (e.g., payments, identity data) and the ability to see your work have an immediate impact at scale.
We offer an environment of ownership and speed, where a focused research team can make a significant difference.
You will be at the forefront of bridging AI and fintech, shaping how these two critical areas intersect.
We are looking for individuals who are eager to stay connected to the edge of innovation while ensuring we deliver practical value to our global platform.