Senior Staff Software Engineer
New
F
FreenomeCancer detection
This is a remote position within the USFull-TimeStaff
SalaryThe 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
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Job Details
- Experience
- 12+ years of relevant software engineering experience or equivalent; 3+ years guiding complex initiatives end-to-end across teams; 3+ years building and operating production platforms using Infrastructure as Code on a public cloud.
- Required Skills
- PythonGCPKubernetesAzureLinuxDistributed SystemsNetworking
Requirements
- Have 12+ years of relevant software engineering experience or equivalent, preferably on platform teams, delivering complex systems from design to production.
- Have 3+ years guiding complex initiatives end-to-end across teams, aligning stakeholders, communicating tradeoffs, and enabling delivery without formal authority.
- Have 3+ years building and operating production platforms using Infrastructure as Code on a public cloud, preferably Azure or GCP.
- Be proficient in Python and at least one other high-level programming language.
- Have deep knowledge of Linux internals, networking, and virtualization, with hands-on system-level troubleshooting and performance tuning.
- Have solid Kubernetes expertise and experience owning advanced capabilities such as controllers, operators and CRDs, admission control, scheduling, autoscaling, service mesh, or multi-cluster networking.
- Apply sound judgment in distributed systems and platform design, including governance, capacity, reliability, cost, data processing, and storage.
- Demonstrate software architecture leadership by shipping clean code, writing design documents and ADRs, and guiding constructive reviews and collaborative technical decisions.
- Have a track record of helping engineers or domain experts grow and making teams more capable and independent.
- Have successfully partnered with specialist teams such as data science, AI/ML, or computational biology to improve their workflows.
- Have hands-on AI-assisted development experience and a record of building reusable tools or workflow automation.
Responsibilities
- Shape the Platform technical vision and roadmap with engineering and R&D leaders.
- Translate shared domain-team needs into reusable platform solutions.
- Design and ship scalable platform systems through reviews, prototypes, and pragmatic technology choices.
- Drive business-critical initiatives, resolve tradeoffs, sequence incremental deliverables, and delegate execution.
- Troubleshoot complex system issues and turn recurring problems into reliability and capacity improvements.
- Partner with domain experts to promote AI adoption and tailor guidance and tools.
- Build platform enhancements and platforms for secure, cost-effective agentic workflows and LLM-powered applications.
- Increase cloud-cost visibility and drive waste reduction while protecting performance, reliability, and scientific productivity.
- Grow engineers through pairing, design reviews, delegation, and feedback.
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