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.
The ideal candidate demonstrates proficiency in leveraging AI tools to automate workflows and optimize daily output. We value individuals who proactively integrate emerging technologies to enhance efficiency and deliver high quality results.
About the Role:
As a Senior Engineer, you will play a foundational role in architecting and developing a greenfield module from scratch as part of our next-gen product suite. You’ll work in a cloud-first environment using Java 11+, Spring Boot, Kubernetes, Hibernate, Azure, and modern DevOps practices. You’ll collaborate closely with frontend, DevOps, and product teams to deliver scalable, secure, and maintainable backend solutions.
Key Responsibilities:
Architect and build a new backend module from the ground up in a microservices-based architecture.
Drive product development from ideation to deployment, collaborating with stakeholders to translate business needs into technical requirements
Develop RESTful APIs using Spring Boot and Spring REST for seamless frontend integration.
Design and optimize data models and persistence layers using Hibernate and MySQL/Snowflake.
Ensure production-grade security using IAM (Azure AD), WAF Gateway, and secure API practices.
Lead code reviews, establish engineering best practices, and ensure code quality across the team
Manage project timelines, allocate resources effectively, and ensure timely delivery of product milestones
Partner with cross-functional teams (Product, Design, QA, DevOps) to deliver seamless and cohesive experiences
Work with containerized environments using Docker and Kubernetes on Azure Infrastructure.
Maintain clean code standards, conduct code reviews, and mentor junior engineers.
Requirements:
5+ years of experience working in SAAS or Fintech
Bachelor’s degree in computer science from a Tier 1 college Engineering, or a related field
Strong understanding of RESTful API design, ORM, multithreading, and system design.
Experience with cloud-native architecture; Azure preferred.
Hands-on with containerization (Docker) and orchestration (Kubernetes).
Familiarity with DevSecOps tools (e.g., SonarQube, StrongDM, Cloudflare).
Bonus: Familiarity with microservices, CI/CD pipelines, and observability stacks.
Skills Required
- 5+ years of experience working in SAAS or Fintech
- Bachelor's degree in Computer Science or related field (Tier 1 college preferred)
- Proficiency with Java 11+
- Experience with Spring Boot and Spring REST
- Experience with Hibernate and ORM
- Strong understanding of RESTful API design, multithreading, and system design
- Experience with MySQL or Snowflake
- Experience with cloud-native architecture
- Azure (preferred)
- Hands-on experience with Docker and Kubernetes
- Familiarity with IAM (Azure AD), WAF Gateway, and secure API practices
- Familiarity with DevSecOps tools such as SonarQube, StrongDM, Cloudflare
- Experience leading code reviews, mentoring junior engineers, and managing project timelines
- Experience with microservices, CI/CD pipelines, and observability stacks (bonus)
- Proficiency leveraging AI tools to automate workflows (ideal)
What We Do
73 Strings is a global fintech firm that provides an AI-augmented platform for the alternative asset management industry. Its solutions, such as Qubit X and Graviton X, streamline data extraction, portfolio monitoring, and valuation processes for illiquid assets. By automating these complex tasks, the company enables investment professionals to focus on making informed judgments and acting on critical insights, ultimately improving efficiency and decision-making across private capital markets.
