Senior Staff Software Engineer

Freenome; Oregon; Híbrido; USD 188.000 - 270.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Equity

Cash bonuses

Medical benefits

Descripción de la vacante

Freenome is seeking a Senior Staff Software Engineer to lead Platform Engineering, shaping the technical direction of scalable cloud services for data lakehouse, batch and distributed compute. You will mentor engineers, work hands-on with design and code, and drive AI-enabled platform solutions for research and analytics.

You will partner with data science and AI teams to build reusable tools and workflows, manage cost and capacity, and ensure reliability while enabling fast iteration and

Formación

• 12+ years software engineering experience in platform teams
• 3+ years guiding complex initiatives end-to-end
• 3+ years building/operating production platforms with Infrastructure as Code on public cloud (Azure or GCP)
• Proficiency in Python and another high-level language
• Deep knowledge of Linux, networking, virtualization, with hands-on troubleshooting
• Solid Kubernetes expertise including controllers, operators, CRDs, autoscaling, service mesh or multi-cluster networking
• Experience shipping scalable platform systems and design docs/ADR-driven decisions
• Experience partnering with data science/AI teams to improve workflows
• Hands-on AI-assisted development and building reusable tools or workflows

Responsabilidades

• Shape Platform’s technical vision and roadmap with engineering leaders
• Treat Platform and Data as Products and translate needs into reusable platform solutions
• Design and ship scalable platform systems and evolve architecture
• Drive business initiatives, manage tradeoffs and deliver incrementally
• Support platform users, troubleshoot complex issues and improve reliability
• Champion AI adoption and tailor guidance/tools to diverse tech backgrounds
• Expand impact by building AI-powered platform enhancements
• Increase visibility of cloud costs and drive cost-saving initiatives
• Mentor engineers and grow team independence

Conocimientos

Python

Linux

Kubernetes

Infrastructure as Code

Cloud platforms (Azure/GCP)

Herramientas

Azure

GCP

Terraform

Descripción del empleo

About this opportunity

At Freenome, we are seeking a Senior Staff Software Engineer to grow our Platform team. Join a stellar group of engineers who serve our mission to save lives with early cancer detection as we develop and commercialize new blood test products. In this role, you’ll bring compute platform expertise to shape technical direction and mentor others, while staying hands‑on and close to design, code, and operations. Platform Engineering's goal at Freenome is to multiply the productivity of domain experts. We build shared cloud services spanning a governed data lakehouse, batch and distributed compute, and self‑service environments for research and analytics, championing developer effectiveness beyond engineering. We combine white‑glove support with dedicated partnerships, bringing expert consulting and hands‑on engineering to help specialist teams solve complex technical problems and meet critical business milestones.

This role reports to our Director of Engineering, Platform. This is a remote position within the US, with occasional travel to our headquarters in Brisbane, CA, 2‑3 times a year.

What you’ll do

• Shape Platform’s technical vision and roadmap, working with engineering and R&D leaders to align platform priorities with company goals.
• Treat Platform and Data as Products, building trust with leads and SMEs from domain teams, and translating shared needs into reusable platform solutions.
• Design and ship scalable platform systems, evolving the architecture through reviews, rapid prototypes, and pragmatic technology choices.
• Drive business‑critical initiatives, resolving tradeoffs, sequencing work into incremental deliverables and delegating to scale execution.
• Support platform users to unblock critical work, troubleshoot complex system issues, and turn recurring issues into lasting reliability and capacity improvements.
• Champion AI adoption across Freenome, pairing with domain experts and tailoring guidance and tools to varied technical backgrounds.
• Expand our team’s impact by using AI for platform enhancements, and by building platforms for AI that empower Freenome users to create and deploy secure, cost‑effective agentic workflows and LLM‑powered applications.
• Increase visibility of cloud costs, recommend and drive initiatives to reduce waste while protecting performance, reliability, and scientific productivity.
• Grow other engineers through pairing, design review, delegation and feedback, while modeling Freenome’s values and reinforcing a high‑performing culture.

Must haves

• 12+ years of relevant software engineering experience or equivalent, preferably in platform teams, delivering complex systems from design to production.
• 3+ years guiding complex initiatives end‑to‑end across teams: aligning stakeholders, communicating tradeoffs clearly, and enabling delivery without formal authority.
• 3+ years building and operating production platforms using Infrastructure as Code on a public cloud, preferably Azure or GCP.
• Proficiency in Python and at least one other high‑level programming language.
• Deep knowledge of Linux internals, networking and virtualization, with hands‑on troubleshooting and performance tuning at system level.
• Solid Kubernetes expertise, with experience owning one or more advanced capabilities such as controllers, operators and CRDs, admission control, scheduling, autoscaling, service mesh, or multi‑cluster networking.
• Sound judgment in distributed systems and platform design, including governance, capacity, reliability, cost, data processing and storage.
• Software architecture leadership: you ship clean code, write clear design docs and ADRs, and guide constructive reviews and collaborative technical decisions.
• You are a force multiplier who enjoys helping engineers or domain experts grow, with a track record of making teams more capable and independent.
• Success partnering with one or more specialist teams - such as data science, AI/ML, computational biology or related fields - to improve their workflows.
• Hands‑on AI‑assisted development and a record of building reusable tools or workflow automation.

Nice to haves

• Life‑sciences software, NGS pipelines and biological data
• ML Ops, model development and deep learning
• Scientific Python frameworks and data‑science technology stack
• Workflow orchestration and distributed compute frameworks on Kubernetes
• Cloud migrations, multi‑cloud or multi‑region operations
• Columnar processing, open lakehouse technologies, and modern table formats such as Apache Iceberg
• FinOps practices, workload cost attribution, and measurable cloud savings

Benefits and additional information

• The US target range of our base salary for new hires is $188,275 - $270,375.
• You will also be eligible to receive equity, cash bonuses, and a full range of medical, financial, and other benefits depending on the position offered.
• Please note that individual total compensation for this position will be determined at the Company’s sole discretion and may vary based on several factors, including but not limited to, location, skill level, years and depth of relevant experience, and education.

Freenome is proud to be an equal‑opportunity employer, and we value diversity. Freenome does not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

Applicants have rights under Federal Employment Laws.

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