Founding Engineer - Backend and Data

Miru; San Francisco (CA); On-site; USD 150,000 - 210,000; Full time

Job summary

Miru is an early-stage fintech startup building AI-powered trading infrastructure. We seek a Founding Engineer to own backend and data engineering, shaping a robust, low-latency financial engine.

You will design scalable services, data pipelines, and cloud infrastructure with an AI-native mindset.

Qualifications

• Strong backend and data processing experience, preferably in finance or high-throughput systems.
• Experience designing scalable microservices and distributed data pipelines.
• Proactive, autonomous contributor with a track record of delivering early-stage products.

Responsibilities

• Design and build scalable backend services, APIs, and data infrastructure for trading workflows.
• Develop high-performance data pipelines for real-time market data processing.
• Architect and manage cloud infrastructure on AWS and GCP with a focus on reliability and security.

Skills

Python

TypeScript

C++

Rust

Cloud Infrastructure

Tools

Kubernetes

Terraform

AWS

GCP

Job description

We are an early-stage Fintech + AI startup backed by seasoned investors from the financial and technology sectors. Our mission is to reinvent how users interact with modern financial tools by combining AI-driven intelligence with high-performance trading and investment infrastructure.

Role Overview

As a Founding Engineer with a focus on Backend and Data, you will be the core architect of our financial engine. You will design, build, and scale the robust server-side systems that power our trading infrastructure and data processing pipelines, ensuring high availability, latency, and security for our AI-driven financial tools.

What You’ll Do

• Backend Architecture: Design and implement scalable backend services, APIs, and data infrastructure to support complex trading and investment workflows.
• Data Engineering: Build high-performance data pipelines for real-time financial market data.
• Infrastructure: Architect and manage cloud infrastructure on AWS and GCP, ensuring reliability, security, and scalability.
• Engineering Excellence: Act as an "AI-native" engineer, leveraging AI coding agents to accelerate development while maintaining rigorous code quality standards.

Ideal Candidate

• Proficient in backend and data processing programming languages (Python, TypeScript, C++, or Rust).
• Strong experience architecting and managing cloud infrastructure and microservices.
• Deep understanding of distributed systems, database design, and high-concurrency environments.
• Bias for action, autonomy, and a track record of delivering "zero-to-one" products.

Nice to Have

• Experience training, evaluating, and deploying AI/ML models.
• Deep familiarity with trading systems and financial data architecture.
• Hands-on experience with Kubernetes, Terraform, or modern DevOps stacks.

Location

• Based in or open to relocating to San Francisco.