Staff Software Engineer

Summary

Join Genomenon as a Staff Software Engineer to lead the modernization of critical legacy systems. This role involves a strategic approach to rebuilding foundational services supporting genomics workflows, AI-powered literature mining, and curated variant data pipelines. You will analyze undocumented codebases, identify key functionality, architect clean, maintainable replacements, and shape how the team uses AI tooling. This high-impact role requires collaboration across teams and offers the opportunity to make a significant contribution to precision medicine. The position demands system-level thinking and a passion for tackling complex technical challenges. You will work in a mission-driven organization committed to improving patient care through genomic information.

Requirements

• 8+ years of software engineering experience, including 2+ years in a senior/staff-level role
• Proven success in system modernization, legacy refactoring, and technical debt reduction
• Strong backend development skills in Python (preferred), Ruby, Go, or C++
• Experience with PostgreSQL, Elasticsearch, and modern observability/performance tuning practices
• Proficiency in cloud infrastructure (AWS: ECS, Lambda, S3) and containerization with Docker
• Familiarity with orchestration tools like Dagster or Airflow
• Exposure to frontend technologies like ReactJS and JavaScript
• Comfort with Git, CI/CD pipelines, and writing clear technical documentation
• Effective use of AI coding tools (e.g., GitHub Copilot, GPT-4) in real-world development
• Excellent communication skills and ability to collaborate across teams and domains

Responsibilities

• Own the analysis, design, and technical execution of key system modernizations
• Extract functional requirements from legacy code with high technical debt
• Design and implement new systems using first principles and modern cloud-native architecture
• Use AI tooling (e.g., GitHub Copilot, GPT-based agents) to accelerate safe, maintainable code generation
• Collaborate closely with product, data science, and engineering to deliver pragmatic solutions that improve platform stability and velocity
• Mentor engineers on best practices for system decomposition, refactoring, and architecture
• Evaluate and integrate open-source or off-the-shelf tools where appropriate
• Contribute to engineering roadmap and long-term technical strategy

Preferred Qualifications

• Experience migrating apps from Heroku to AWS
• Exposure to genomics, bioinformatics, or scientific data models
• Familiarity with AI/ML-based systems
• Experience with Elasticsearch and observability tooling
• Background working in a fast-paced, scaling startup or health tech environment
• Knowledge of bioinformatics, pharmacogenomics, or variant interpretation pipelines