OVERVIEW OF 73 STRINGS:

73 Strings is an innovative platform providing comprehensive data extraction, monitoring, and valuation solutions for the private capital industry. The company's AI-powered platform streamlines middle-office processes for alternative investments, enabling seamless data structuring and standardization, monitoring, and fair value estimation at the click of a button. 73 Strings serves clients globally across various strategies, including Private Equity, Growth Equity, Venture Capital, Infrastructure and Private Credit.

Our 2025 $55M Series B, the largest in the industry, was led by Goldman Sachs, with participation from Golub Capital and Hamilton Lane, with continued support from Blackstone, Fidelity International Strategic Ventures and Broadhaven Ventures.

About The Role

We are looking for a dedicated Python Developer with 3-4 years of experience to join our team and focus on maintaining, debugging, and optimizing existing Python-based applications used in AI projects. This role is about ensuring the stability, efficiency, and reliability of our current systems. You will play a critical role in improving code quality, addressing technical debt, and enhancing system visibility through better logging practices.

Responsibilities:

• Develop Python code as a part of new features/enhancements
• Debug existing Python code to identify and resolve bugs promptly.
• Refactor and optimize the current codebase to improve performance, readability, and maintainability.
• Respond to P0/P1 bugs by conducting root cause analysis (RCA) and implementing quick fixes.
• Enhance the logging system to provide better visibility into application flows for debugging purposes.
• Collaborate with cross-functional teams to address technical debt and ensure long-term sustainability of the codebase.
• Regularly review code to identify areas for improvement and implement best practices.
• Adding test cases to cover code features.
• Interact with QA team to address raised issues.

Role Impact 

• Ensure the smooth functioning of existing Python-based AI applications by fixing bugs and addressing performance issues.
• Improve the maintainability and efficiency of the codebase through refactoring and optimization.
• Enhance system reliability by responding to critical (P0/P1) issues with rapid root cause analysis (RCA) and quick fixes.
• Strengthen monitoring and debugging capabilities by improving the logging system for better flow visibility.
• Play a key role in tackling technical debt to ensure long-term scalability and maintainability of the codebase.

Expertise & Skills

• Proficient in Python programming with a strong understanding of debugging techniques.
• Experience in maintaining and optimizing existing codebases for efficiency and readability.
• Experience in code refactoring and writing test cases.
•  Familiarity with tools for monitoring and logging (e.g. ELK stack, or similar).
•  Knowledge of software development best practices such as version control (Git), testing frameworks, and CI/CD pipelines.
• Strong problem-solving skills for identifying root causes of issues quickly and effectively.
• Experience with Linux, Terminal, Docker and Containers.
• Familiarity with database systems (SQL/NoSQL) for managing application data.
• Excellent English communication (speaking & writing) skills to collaborate. effectively with teams on resolving issues.
• Familiarity with Azure and Microsoft based tools and stack.

Bonus Skills

• Very good knowledge in CI/CD pipelines.
• Very good knowledge in writing Test Cases (Unit/Intergration)
• Very good documentation and inter-team communication skills.
• Great autonomy in handling tasks (proven examples).
• Familiarity with setting up and managing remote Linux Servers.
• DevOps stack familiarity.
• More Coding languages familiarity.