We are hiring for US-based employees only.Our Company

Genomenon is an AI-driven, genomics software company. Our mission is to save and improve lives by making genomic information actionable. We organize the world’s genomic knowledge and put it at the fingertips of clinicians to help diagnose and treat patients suffering from rare diseases and cancer, and to help precision medicine companies create targeted therapies for diseases.

There are over 7,000 rare diseases affecting nearly 30 million Americans, 95% of which have no treatment. By harnessing AI and human insight, Genomenon's team is revolutionizing genetic medicine and leading a charge against genetic diseases and cancer for clinicians and pharmaceutical pioneers alike. And the adventure has just begun!

Join us in championing the spirit of Genomenon, where every data point is a beacon of hope, every insight a catalyst for change, and every person a vital thread in the fabric of progress.

/ge.gno.mai.non/
source language: ancient Greek
verb

to come into being
to be born out of need

noun

the leader in Genomic Intelligence

At Genomenon, we are at the forefront of genomics research and innovation, with a mission to accelerate genetic discoveries and improve patient care.

About the Role

We’re looking for a Staff Software Engineer who can lead the modernization of critical legacy systems across our platform. This role goes beyond feature development—it’s about taking a strategic, first-principles approach to rebuilding foundational services that support genomics workflows, AI-powered literature mining, and curated variant data pipelines.

This person will work across the stack and across teams, analyzing undocumented codebases, identifying key functionality, and architecting clean, maintainable replacements. You’ll also play a key role in shaping how our team uses AI tooling to increase velocity and deliver long-term value.

This is a high-impact role for someone who thrives on technical challenges, system-level thinking, and meaningful cross-functional collaboration. This is a rare opportunity to have outsized technical impact in a mission-driven organization tackling some of the most meaningful problems in precision medicine.

Position 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

About You

You are a thoughtful, pragmatic engineer who thrives on cleaning up complex systems and building robust, scalable solutions from the ground up. You're comfortable navigating messy, undocumented codebases and enjoy collaborating across teams to bring clarity and structure to ambiguity. You embrace modern tools—like AI code assistants—not just to move faster, but to raise the bar for code quality and maintainability

What You'll Bring

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

Your Impact

This is a high-leverage role. Your efforts will:

Reduce technical debt across the platform
Enable scalable growth of data systems and AI workflows
Improve platform stability and development velocity
Increase engineering team autonomy through clearer architecture
Shape company-wide modernization strategy

Nice to Have

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

Why Join Us?

At Genomenon, you won’t just write code—you’ll modernize systems that help make genomic information actionable. You'll work with smart, humble colleagues, solving real-world problems with real-world impact. This is a team that values practical innovation, autonomy, and curiosity.

Benefits

Employee-sponsored healthcare plans through BCBS with contributions for dependents and individuals
Market-driven salary ranges (~$160,000-$200,000)
Equity
Flexbile, non-accrual based PTO and Family Leave
Fully Remote position

Job Type: Full-time

Pay: $160,000.00 - $200,000.00 per year

Benefits:

401(k)
401(k) matching
AD&D insurance
Bereavement leave
Caregiver leave
Dental insurance
Dependent health insurance coverage
Disability insurance
Employee assistance program
Employee mentoring program
Family leave
Flexible schedule
Flexible spending account
Health insurance
Health savings account
Life insurance
Military leave
On-the-job training
Paid holidays
Paid jury duty
Paid military leave
Paid parental leave
Paid sick time
Paid time off
Paid training
Parental leave
Partner benefits
Pet insurance
Prescription drug insurance
Retirement plan
Tuition reimbursement
Unlimited paid time off
Vision insurance
Volunteer time off
Work from home

Application Question(s):

How many years of Staff-level Engineering do you have?

Experience:

Software Engineering: 8 years (Required)

Work Location: Remote

Genomenon

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