Software Engineer - Python, Business Operations
Akuna Capital
| Company | Akuna Capital |
| Category | Uncategorised |
| Location | Chicago |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 11 Aug 2026 |
| Last verified | 12 Aug 2026 |
| Source | Employer ATS (greenhouse) |
Description
About Akuna:
Akuna Capital is an innovative trading firm with a strong focus on collaboration, cutting-edge technology, data driven solutions, and automation. We specialize in providing liquidity as an options market-maker – meaning we are committed to providing 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 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, London, and Singapore.
What you'll do as a Software Engineer - Business Operations at Akuna:
This role is the primary ongoing development resource for Business Operations technology, primarily supporting Procurement, Finance, and Human Resources. The current priority is a data infrastructure project that consolidates cost data from several internal systems into a unified cost-attribution framework, but the role is not scoped to that project alone - it will take on a broadening range of development work across these functions over time. A defining requirement of this role is applying AI capabilities - through native AI features in existing tools, API integrations, and protocols such as MCP (Model Context Protocol) - to improve data workflows, reporting, and operational processes across these functions. In this role, you will:
Lead the development efforts for our FP&A Cost Attribution Project
Serve as lead developer for the development of a bitemporal PostgreSQL database that enables traceable cost allocation, with a schema designed to become more granular as business requirements evolve
Build and maintain integrations pulling data from Jira, NetSuite, Device42, and Bitbucket, among other data sources, to support cost attribution logic
Support the project toward its Q1 2027 deployment target, including schema documentation and handoff materials, and maintain the system once in production
Lead engineering efforts in support of our Business Operations teams
Work with the Procurement team to rebuild the current quote order management systems
Support Finance and HR operations by building data pipelines, automating reports, and integrating systems as needs arise
Act as a general-purpose development resource across these functions, prioritizing work in coordination with the Director of Operations
Identify and implement native AI features within tools already in use by Procurement, Finance, HR, Compliance, and Risk, such as AI capabilities embedded in NetSuite, Jira, Confluence, or other platforms
Build custom integrations using APIs, MCP, or comparable protocols to connect large language models to internal systems and workflows
Evaluate current manual processes across these functions and propose and implement AI-assisted or automated alternatives
Work with the Security team to maintain security best practices and appropriate data-handling controls when integrating AI tooling with internal or vendor systems
Qualities that make great candidates:
Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent practical experience
Professional software development experience (minimum 3-5 years), with demonstrated ability to work as a sole or lead developer on cross-functional projects
Strong proficiency in a backend language commonly used for data integration and automation work, such as Python
Strong SQL skills and relational database design experience; direct experience with PostgreSQL is preferred
Demonstrated experience building and consuming REST APIs, including authentication, error handling, and data transformation across systems that were no