Python Developer- Data Infrastructure Engineering

About Akuna:
Akuna Capital is a young and booming trading firm with a strong focus on cutting-edge technology, data driven decisions and automation. Our core competency is providing liquidity as an options market-maker – meaning we provide competitive quotes that we are willing to both buy and sell. To do this successfully we design and implement our own low latency technologies, trading strategies and mathematical models.

Our Founding Partners, Andrew Killion and Mitchell Skinner, first conceptualized Akuna in their hometown of Sydney. They opened the firm’s first office in 2011 in the heart of the derivatives industry and the options capital of the world – Chicago. Today, Akuna is proud to operate from additional offices in Sydney, Shanghai, and Cambridge (USA).

What you’ll do as a Python Developer on the Data Infra team at Akuna:

We are a data driven organization and are seeking Python Developers to take our data to the next level. We collect large volumes of data from both internal and external sources, requiring talented individuals to identify opportunities to improve and expand our data capabilities. Working on our data infrastructure is a high impact position and you will have opportunity to work closely with our world class team of Devs, Quants, Traders and Management. In this role, you will:

• Lead the effort to democratize data access at Akuna
• Architect, implement, and improve tools that build and interact with our diverse data
• Standardize our data management best practices
• Work closely with stakeholders throughout the firm to identify how data is consumed
• Build and deploy pipelines to collect and transform our rapidly growing Big Data set
• Propose and effect changes to our data generation processes
• Produce clean, well-tested, and documented code with a clear design to support mission critical applications
• Challenge the status quo and help push our organization forward, as we grow beyond the limits of our current tech stack

Qualities that make great candidates:

• BS/MS/PhD in Computer Science, Engineering, Physics, Math, or equivalent technical field
• 3+ years of professional experience developing software applications in Python, other languages like C++ are a plus
• Highly motivated and willing to take ownership of high-impact projects upon arrival
• Experience architecting a solution from collection to storage access
• Must possess excellent communication, analytical, and problem solving skills
• Demonstrated experience working with diverse data sets and frameworks across multiple domains – financial data experience not required
• Experience with common Big Data technologies, like Kafka and Spark, is a big plus
• Interest or experience in building scalable, containerized workflows using Docker
• Demonstrated experience using software engineering best practices to deliver complex software projects