Software Engineer

Tekmerion Capital•New York, NY

69d•$150,000 - $250,000

About The Position

We're looking to hire Software Engineers to build the core systems that power Tekmerion's research and daily investment infrastructure. This role sits at the intersection of cloud infrastructure engineering, data engineering, and DevOps. You will work closely with macro analysts and data analysts to bring data pipelines and models to production, while also evolving our Python codebase of highly scalable services and AWS infrastructure. We're looking for engineers who understand how to create powerful, efficient, and easy to use software products for our analysts, who are expert users of the systems we build. This role is directly responsible for the health of our investment process, and our small team affords Software Engineers large amounts of responsibility and code-ownership.

Requirements

Exceptional programming skills
Proficiency building highly scalable services or data-intensive applications, especially in Python
Comfort working with statistic or time-series data
Familiarity with data and numerical libraries (e.g., numpy, pandas, polars)
Experience working with cloud infrastructure, preferably AWS (e.g., ECS, S3, RDS), and terraform
Understanding of user experience, API design, and user interface design, especially when targeting less technical users
Experience building research platforms or backtesting systems
Knowledge of distributed systems, workflow orchestration, or data engineering tools

Nice To Haves

Knowledge of Typescript (covering some of our user interfaces) is a bonus

Responsibilities

Develop and maintain Tekmerion's Python codebase supporting research, data processing, signal generation, and trade generation
Design, implement, and optimize data pipelines for economic and market datasets
Collaborate with macro and data analysts to translate research ideas into robust, production-ready code
Build and manage cloud infrastructure on AWS, including compute, storage, orchestration, and monitoring
Improve system reliability, performance, and observability across research and production environments
Follow engineering best practices, including testing, documentation, and code review