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Founding Engineer - Backend and Data

Exclusive opportunity

Onsite

Founding Engineer - Backend and Data

Miru

Founding Engineer - Backend and Data

Skills

Google Cloud PlatformRustData EngineeringTypescriptPythonMicroservicesMachine LearningAIAWSKubernetesTerraform

17 days ago

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Important information


Contract type:

Permanent

Salary:

$200,000 – $300,000 / year

Location:

San Francisco, CA, USA

Work mode:

Onsite

Published on:

4 October 2026

What they need


About the Company

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.

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