echoloc

Akuna Capital Tech Stack

Options market-maker with proprietary low-latency trading platform

Capital Markets Chicago, IL 201–500 employees Founded 2011 Privately Held

Akuna Capital is a self-capitalized options market-maker founded in Chicago in 2011, now operating across four global offices (Chicago, Sydney, Shanghai, London). The tech stack—Python, C++, Kafka, Kubernetes, Databricks, Spark—reflects a firm optimizing for real-time execution and data infrastructure at scale. Active hiring is heavily concentrated in engineering (17 roles) with a balanced mid/senior mix, paired with simultaneous projects in ML observability, CI/CD for ML, and WAN/LAN network design for global trading, signaling aggressive infrastructure modernization and expansion into new trading products (notably sports pricing).

Tech Stack 51 technologies

Core StackPython C++ Jira Confluence Ansible Java Scala Kubernetes Kafka Databricks Apache Spark Cisco Prometheus AWS Red Hat Ubuntu Foreman AWS EKS AWS MSK VBA Juniper Arista Wireshark tcpdump Icinga Nagios Bash Anaconda Kickstarter Rundeck+21 more

What Akuna Capital Is Building

Challenges

  • High-performance platform maintenance
  • Low latency trading
  • Optimizing latency
  • Maintaining stable trading infrastructure
  • High-performance global trading environment
  • Efficiency and performance improvement
  • Scalable ml infrastructure
  • Automation of daily tasks
  • Automated trading
  • Expanding into sports pricing

Active Projects

  • Trading strategy development
  • Test automation framework for systems performance testing
  • Design and implement wan/lan network for global trading platform
  • Proprietary options market-making trading platform
  • Ml observability platform
  • Ci/cd for ml
  • Ml infrastructure roadmap
  • Data capture pipelines for sports contracts
  • Sports pricing capabilities
  • Tier-based storage solution architecture

Hiring Activity

Accelerating30 roles · 15 in 30d

Department

Engineering
17
Finance
6
Research
3
Data
2
Compliance
1
HR
1
Ops
1

Seniority

Mid
13
Senior
12
Junior
5
Intern
1
Company intelligence

Find more companies like Akuna Capital by tech stack, pain points and active projects

Get started free

About Akuna Capital

Akuna Capital designs and operates its own trading strategies, mathematical models, and low-latency technologies to provide liquidity as an options market-maker on Chicago-based derivatives exchanges. The firm is structured as a partnership with dozens of employee-shareholders and no external investors or client capital—all trading uses company capital. Beyond traditional equity options, the firm is actively expanding into sports pricing and developing proprietary platforms for strategy execution, order routing, and risk management. Operations span North America, APAC, and Europe, with headquarters in Chicago and satellite offices in Sydney, Shanghai, and London.

HeadquartersChicago, IL
Company Size201–500 employees
Founded2011
Hiring MarketsSingapore, United States, Australia, China, United Kingdom

Frequently Asked Questions

What is Akuna Capital's core business?

Akuna Capital is an options market-maker that provides liquidity by quoting competitive buy and sell prices on major Chicago derivatives exchanges. The firm designs its own trading strategies, mathematical models, and low-latency infrastructure to execute this business using company capital.

What tech stack does Akuna Capital use?

Python, C++, Kafka, Kubernetes, AWS EKS, Databricks, Apache Spark, Prometheus, Ansible, and Juniper/Arista/Cisco networking. The stack emphasizes real-time data pipelines, distributed computing, and network optimization for low-latency trading.

How this profile is built

Akuna Capital's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.