Location: Remote (ANZ time zones preferred)
Term: Full-time, equity
Company Description
Themelia is building the indexing layer of crypto. We're now entering a performance and scaling phase and are seeking a senior Python engineer with expertise in computational optimisation and concurrent systems to improve index calculation performance and parallelise exchange trade execution paths. You’ll optimise bottlenecks in Pandas/Polars pipelines, compile numeric workloads with Numba or Cython, and manage multi-exchange execution flows efficiently using async or multiprocessing patterns.
Responsibilities
• Profile and optimise CPU-intensive analytical functions using Numba, Cython, or Polars
• Parallelise and coordinate trade execution logic across multiple exchanges
• Maintain concurrency-safe integrations with exchange APIs (async I/O, multiprocessing, or queues)
• Refactor and benchmark Pandas-based data pipelines for speed and reliability
• Collaborate with the Postgresql engineer to streamline database-to-API data flow
• Log, monitor, and validate performance improvements in production
Requirements
• Advanced Python (5+ years) with focus on performance and concurrency
• Strong experience with Numba, Cython, or other compiled-code acceleration
• Proficiency in asyncio, concurrent.futures, or multiprocessing
• Solid understanding of Pandas internals and familiarity with Polars or DuckDB
• Comfort with Postgresql, SQLAlchemy, and structured logging
• Strong mathematical and analytical reasoning
Nice to Have
• Experience with crypto or traditional exchange APIs (REST/WebSocket)
• Familiarity with message queues (Redis, RabbitMQ, Kafka)
• Background in quantitative or financial data systems
Compensation
• Equity based
How to Apply
Send a short note, your LinkedIn and GitHub profile to jessica@themelia.co
