Staff Software Engineer - Experience

Helix is transforming healthcare by integrating genomic data into clinical practice and helping people improve their lives through DNA. The Staff Software Engineer - Experience will set the technical direction for the Experience platform, lead AI adoption in engineering workflows, design genomic software systems, and drive cross-functional technical initiatives, engineering standards, mentorship, and reliability.

Responsibilities:

• Guide and define the strategic technical direction for the Experience platform and wider Engineering organization
• Shape how Helix Engineering utilizes AI and advance our AI development best practices
• Direct AI agents to automate entire engineering workflows, including codifying our prompt libraries and context frameworks
• Design, architect, and implement software systems for our genomic applications and services, with a focus on the patient and provider experience
• Drive complex, ambiguous projects from scoping to production with autonomy, owning the design, architecture and implementation strategy
• Collaborate and lead cross-functional work with product managers, designers, user experience researchers, scientists, and our business leaders to drive meaningful outcomes to the business
• Shape the engineering standards, delivery practices, and quality bars within all of Engineering
• Serve as a dedicated technical mentor, helping grow our next generation of technical leaders
• Champion durable solutions that eliminate entire categories of technical debt and raise reliability

Requirements:

• 10+ years of equivalent professional experience as a Software Engineer, with a track record of impact at scale
• A strong product engineering mindset, with technical decisions anchored in customer and business outcomes
• Operates with a high degree of autonomy, identifies problems before they're escalated and drives them to resolution proactively
• Experience implementing and a passion for driving AI adoption in engineering workflows, with a proven ability to build automated safeguards and evaluations that validate AI-generated code at scale
• Proficiency with distributed systems built on cloud infrastructure such as AWS, GCP, or Azure
• Deep full-stack expertise, proficient in a backend language such as Go, Java, Python, Scala, or Rust
• Familiarity and experience developing and maintaining SPA's on frameworks such as React, Next.js, Vue.js or similar using TypeScript/JavaScript
• A track record of raising the technical standards and practices of engineers beyond your immediate team or department
• Adaptable in a fast-paced startup environment where priorities may change quickly and frequently
• Bachelor's or Master's degree in Computer Science or a related field
• Familiarity with regulated software systems in any industry, such as HIPAA, ISO, or FDA
• Experience designing and architecting event-driven architectures
• Experience with AWS serverless infrastructure
• Experience in the life sciences, healthcare, or genomics domain