Staff Software Engineer, Experience Platform & AI

Openkrill

United States

Remote

USD 173,000 - 235,000

Full time

14 days+
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Benefits offered by this job

Health insurance
Parental leave (12 weeks)
401(k) with employer matching
Remote-friendly

Job summary

Helix is hiring a Staff Software Engineer - Experience to set the technical direction for the Experience platform and guide the Engineering organization. You will shape AI adoption, automate workflows, and mentor engineers while delivering patient- and provider-focused genomics software.

You’ll collaborate with product, design, scientists and business leaders to raise reliability, establish standards, and own end-to-end architecture in a fast-paced environment.

Qualifications

  • 10+ years of equivalent professional Software Engineering experience with impact at scale.
  • Strong product engineering mindset; decisions anchored in customer/business outcomes.
  • Experience driving AI adoption in engineering workflows with safeguards and evaluations.
  • Proficient in distributed systems on cloud infrastructure (AWS, GCP, Azure).

Responsibilities

  • Define strategic technical direction for the Experience platform and Engineering org.
  • Architect, design and implement genomics-related software with patient/provider focus.
  • Lead cross-functional collaboration with product, design, scientists and business leaders.
  • Mentor next generation of technical leaders and improve engineering standards.

Skills

Distributed systems
AI in engineering
Autonomy
Leadership
Code review & mentoring

Education

Bachelor’s or Master’s degree in Computer Science or related field

Tools

AWS
Go
Java
Python
TypeScript/JavaScript

Job description

Helix is hiring a Staff Software Engineer - Experience to set the technical direction for the Experience platform and guide the Engineering organization. You will shape AI adoption, automate workflows, and mentor engineers while delivering patient- and provider-focused genomics software.

You’ll collaborate with product, design, scientists and business leaders to raise reliability, establish standards, and own end-to-end architecture in a fast-paced environment.

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