Staff Software Engineer, Freenome

Infrastructure

$183-280k

Plus pre-IPO equity and cash bonuses; Salary dependent on location

Docker

Kubernetes

Python

Kafka

Redis

Linux

Airflow

Tensorflow

Cassandra

Terraform

C++

Ansible

MySQL

Rust

Spark

HBase

Prometheus

Kubeflow

PyTorch

Flink

flux

Senior and Expert level

San Francisco Bay Area

Remote from US

Biological analysis platform for cancer

Job no longer available

Biological analysis platform for cancer

501-1000 employees

HealthcareB2BBiologyMachine LearningMedTech

Job no longer available

$183-280k

Plus pre-IPO equity and cash bonuses; Salary dependent on location

Docker

Kubernetes

Python

Kafka

Redis

Linux

Airflow

Tensorflow

Cassandra

Terraform

C++

Ansible

MySQL

Rust

Spark

HBase

Prometheus

Kubeflow

PyTorch

Flink

flux

Senior and Expert level

San Francisco Bay Area

Remote from US

501-1000 employees

HealthcareB2BBiologyMachine LearningMedTech

Company mission

To create tools that empower everyone to prevent, detect, and treat their disease.

Job

Company

Role

Who you are

8+ years of experience with production infrastructure, automation, and monitoring
B.S. or M.S. in computer science or a related technical field, or comparable experience
Experience in analyzing and troubleshooting distributed systems
Software design and development expertise, especially in Python
Practical knowledge of Linux internals
A systematic problem-solving approach, coupled with effective communication skills and a sense of ownership and drive

Desirable

Machine learning and data science tools, such as TensorFlow, PyTorch, Jupyter, or Kubeflow
Systems programming languages such as Go, Rust, or modern C++
Kubernetes, including tools such as Helm or Flux
Docker and Linux containers
Production deployment automation tools, such as Terraform or Ansible
Large-scale and/or high-performance storage systems, such as PostgreSQL, MySQL, Redis, HBase, Spanner, or Cassandra
Microservices, service meshes, or distributed tracing
Security, encryption, and certificate management
Networking, firewalls, load balancers, and HTTP internals
Monitoring, alerting, logging, and tracing tools, such as Prometheus, fluentd, or Jaeger
Data pipelines, such as Kafka, Spark, Airflow, Argo, Beam, or Flink
Google Cloud Platform experience
Experience with software in a regulated environment
Genomics or bioinformatics background

What the job involves

Freenome is looking for an experienced infrastructure engineer to help build a cloud-native machine learning platform for the world’s largest multi-analyte cancer genomics dataset
As an engineering-forward biotech company, we apply modern engineering practices to build reliable, maintainable, scalable, and secure production systems for our clinical lab and Computational and Molecular Research Scientists
Our infrastructure team is a small group where you will help set the culture and build the systems that allow us to move fast without breaking things
This is an opportunity to do meaningful engineering work that will directly save lives
Improving the reliability and scalability of our platform for genomic research in concert with the Software Engineers and Computational Scientists who depend on it daily
Planning for significant growth and scaling challenges as we transition from research to product development
Lending your expertise to design and code reviews
Anticipating technical scaling limits before we reach them
Continually improving our security posture
Reinforcing good development practices across the entire organization

Our take

Freenome is a biotechnology company offering a biological analysis platform that uses molecular biology and machine learning to detect cancer with a routine blood draw. The platform trains on thousands of cancer-positive blood samples to recognise disease-associated patterns and help detect early-stage cancer, allowing clinicians to optimise treatments.

The company specialises in advanced computational biology, using machine learning to detect patterns among billions of circulating cell-free biomarkers. Freenome continues to focus on the development of its colorectal cancer test, potentially helping the 45 million people not currently up-to-date on colorectal cancer screening guidelines in the United States.

Following its 2022 funding round, the company surpassed the $1 billion funding mark. Freenome is set to accelerate the development of its platform, testing for additional cancers and furthering its blood test detection technology. It's also forming partnerships for R&D purposes, joining forces with health firms such as Geisinger to provide real-world data that could help it detect multiple cancers.

Steph

Company Specialist at Welcome to the Jungle

Insights

Top investors

14% employee growth in 12 months

Glassdoor (3.2)

Company

Funding (last 2 of 8 rounds)

Nov 2025

$75m

LATE VC

Feb 2024

$254m

LATE VC

Total funding: $1.1bn

Company HQ

The East Side, South San Francisco, CA

Leadership

Riley Ennis

(Co-Founder)

Studied at Yale, Johns Hopkins and Dartmouth. Was a Thiel Fellow and co-founded Immudicon and Oncolinx.

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