Requirements:
Master's degree or higher in Computer Science, Engineering, or a related technical field from a top-tier institution.
7+ years of experience as a Python developer, with a strong focus on data engineering and AI/ML systems.
Expert-level knowledge of Python and its ecosystem, including experience with data processing libraries like Pandas, NumPy, and PySpark.
Proficiency in designing and implementing scalable, maintainable, and efficient data pipelines.
Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
Expertise in version control systems (Git), CI/CD practices, and agile methodologies.
Strong communication skills with the ability to explain complex technical concepts to both technical and non-technical stakeholders.
Experience in the finance industry is a plus but not required.
Experience with AI/ML frameworks such as PyTorch, or scikit-learn, LLM, agents or systems of agents is a significant plus.

Requirements:
A successful candidate will possess:
A minimum of 7 years of writing production-quality code in Python on Linux platform
Candidate must be willing to learn C++. Experience in C++ is a strong plus
Candidate must have strong interest and motivation to work with machine learning, deep learning, backtesting platform design and development technologies. Prior experience is not required but will be considered as a strong plus.
Strong understanding and experience with Linux system programming fundamentals
Ability to develop large-scale, distributed systems
Strong understanding of data structures, algorithms, high-performance application design, and concurrency patterns.
Self-motivated and able to work independently with minimal direction
Proficiency in English
An outstanding candidate will also have experience with one or more of:
Developing systems for managing and performing computation on large-scale graph data
Streaming / dataflow systems
Candidates need not have prior experience in financial services.