# Senior Staff Software Engineer

**Company**: Freenome
**Location**: Remote
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Salary**: $188,275 - $270,375
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/freenome/jobs/8919668002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_ac49a170-bc6

## Description

We are seeking a Senior Staff Software Engineer to join our Platform team at Freenome. As a Senior Staff Software Engineer, you will shape the technical direction of our platform, mentor other engineers, and stay hands-on with design, code, and operations. Our Platform Engineering team's goal is to multiply the productivity of domain experts by building shared cloud services, including a governed data lakehouse, batch and distributed compute, and self-service environments for research and analytics.

Responsibilities:

- 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.

Requirements:

- 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:

- Experience, familiarity, or a genuine interest in 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:

- 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.

## Skills

### Required
- Python
- Linux
- Kubernetes
- Infrastructure as Code
- Azure
- GCP
- Distributed Systems
- Platform Design

### Nice to have
- Life-sciences software
- NGS pipelines
- Biological data
- ML Ops
- Deep learning
- Scientific Python frameworks
- Workflow orchestration
- Cloud migrations
- FinOps practices

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/freenome/jobs/8919668002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)