Senior Backend Engineer — Go/gRPC Fintech Risk Platform (FT - LATAM)

Role Overview

Join Larkhill Group as a Senior Backend Engineer to enhance and stabilize LarQ, a cutting-edge B2B fintech SaaS platform. This platform aims to revolutionize private-market investments by providing public-market risk analytics. As a pivotal team member, you'll work on completing and refining the MVP, ensuring it's ready for pilot use by professional financial users.

Responsibilities

• Audit and stabilize the existing LarQ codebase and architecture.
• Debug and resolve issues within Go backend services, gRPC communication, and API workflows.
• Address formula, calculation, and data-output issues in the risk analytics platform.
• Collaborate with the Python analytics engine to validate and support financial calculations.
• Enhance async analysis workflows between Go and Python services.
• Refine backend services, APIs, and data models to ensure service boundaries are well-defined.
• Support PostgreSQL data modeling, migrations, and ensure data integrity.
• Optimize Redis-based caching, messaging, and background processing workflows.
• Finalize MVP features related to portfolio management, company modeling, and analytics.
• Manage authentication, authorization, and hierarchical organization access models.
• Contribute to frontend applications using SvelteKit and TypeScript as needed.
• Prepare the platform for pilot usage by professional financial users.
• Create comprehensive documentation for future development and maintainability.
• Communicate effectively with a non-technical founding team to align technical execution with business needs.

Required Skills

• Over 5 years of professional software engineering experience.
• Proficiency in Go / Golang and experience with gRPC and Protocol Buffers.
• Experience in designing and maintaining microservices-based systems.
• Strong backend engineering skills, including API design, service orchestration, and data modeling.
• Expertise in PostgreSQL and Redis for caching and messaging.
• Experience with Docker and cloud-based deployments.
• Ability to work within an existing codebase and perform effective debugging.
• Strong communication skills and ability to work independently.

Nice to Have

• Experience with Python-based analytics and financial modeling.
• Familiarity with NumPy, Pandas, SciPy, and Scikit-learn.
• Experience in fintech, risk analytics, or institutional finance products.
• Knowledge of Google Cloud Platform, including Cloud Run and Cloud SQL.
• Familiarity with Auth0, JWT, and custom RBAC models.
• Experience with SvelteKit, TypeScript, and Flyway.
• Exposure to GitHub-based CI/CD workflows and MVP-stage product preparation.