Senior Software Developer

Stealth Startup
San Jose, CA, United States
18 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$160,000.0 - $250,000.0
Working hours
Regular working hours
Job source

Tech stack

Python (Programming Language) Machine Learning Software Engineering Data Ingestion Information Technology Data Pipelines

Job description

We’re looking for a Senior Software Developer to build scalable data and ML-driven systems while working closely with quantitative researchers and leadership.

What You’ll Do

  • Build scalable data ingestion and processing pipelines
  • Develop ML-driven financial modeling and analytics tools
  • Design and optimize high-performance systems
  • Collaborate with quantitative researchers and leadership
  • Integrate with fintech platforms and financial institutions
  • Mentor junior engineers and contribute to technical strategy

Requirements

  • 5+ years of software development experience
  • Strong production-level Python skills
  • Bachelor’s degree in Computer Science or a related field
  • Strong problem-solving and communication skills
  • Self-directed and comfortable in a fast-paced environment
  • Experience mentoring engineers is a plus
  • Fintech or financial modeling experience is a plus

Benefits & conditions

  • $160,000-$250,000 USD base + performance bonus
  • Medical, dental, and vision insurance
  • Retirement savings plan
  • Flexible PTO
  • Remote-friendly work environment
  • High-impact role in a growing fintech startup

About the company

Stealth Startup is a tech-driven fintech company focused on modern U.S. consumer credit markets. Its proprietary machine-learning technology powers predictive analytics, financial modeling, portfolio monitoring, and credit solutions.

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:06 min

Ingesting streaming data securely with managed hubs

Eldert Grootenboer +1 · World Congress 2023

6:08 min

Applying software engineering environments and testing to data pipelines

Matthias Niehoff Matthias Niehoff · World Congress 2024

2:36 min

Applying supervised machine learning for practical rule extraction

Katja Träumner

2:43 min

Transitioning into a professional software engineering career

Nacho Iacovino · World Congress 2021

1:49 min

One-way data ingestion for IoT devices

Timothy Marland · World Congress 2023

3:48 min

Navigating career transitions to build unconventional software

Nolan Royalty · Coffee With Developers

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