Senior/Staff Software Engineer, Science Platform

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Haus

πŸ’΅ $190k-$240k
πŸ“Remote - Worldwide

Summary

Join Haus, a leading decision science platform, as a Backend Engineer to develop and enhance our core Geolift product. You will drive initiatives from concept to delivery, focusing on building scalable systems and APIs. This role requires 7+ years of experience in building scalable systems and proficiency in at least one OOP language. You will work with a legacy codebase, cloud environments, and relational databases. The position offers competitive salary and benefits, including top-tier health insurance, 401k, and the opportunity to make a significant impact on a small, high-performing team.

Requirements

  • 7+ years of experience building scalable systems and APIs
  • Proficient in at least one OOP language: Python, TypeScript, Scala, Golang, Java
  • Comfortable working in a legacy codebase
  • Experience working in a cloud environment
  • Experience with relational databases like SQL
  • Excellent written and verbal communication skills
  • Interest in developing a world-class product
  • Experience with data integrations with third-party sources

Responsibilities

  • Drive initiatives from concept to final product delivery, ensuring seamless end-to-end execution: lead or contribute to the design, development, optimization, and productionalization of solutions for complex and high-impact science problems
  • Demonstrated experience building data systems or data-driven products.Β  Comfortable deep-diving into complex data considerations
  • Identify, design, and implement internal process improvements using a variety of tools
  • Help build a growing engineering organization as a thought leader
  • Participate in an on-call rotation and debug interconnected systems
  • Own the features you build end-to-end

Preferred Qualifications

  • Early-stage startup experience
  • Experience with data science or ML workflows in a cloud computing environment
  • Experience with optimization techniques, including reinforcement learning (RL), Bayesian methods, and multi-armed bandits
  • Experience with data science or machine learning approaches in marketing and growth
  • Prior experience building ML infrastructure
  • Experience with Flask or other Python web frameworks

Benefits

  • Competitive salary and startup equity
  • Top of the line health, dental, and vision insurance
  • 401k plan
  • Provide you with the tools and resources you need to be productive (new laptop, equipment, you name it)
This job is filled or no longer available