Senior Staff Software Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Define the technical vision and roadmap for the Platform in collaboration with engineering and R&D leaders.

• Approach Platform and Data as Products, converting the needs of shared domain teams into reusable platform solutions.

• Create and deliver scalable platform systems through architecture evaluations, rapid prototypes, and pragmatic technology selections.

• Lead critical business initiatives, navigate trade-offs, sequence incremental deliverables, and delegate execution effectively.

• Assist platform users by troubleshooting complex system challenges and enhancing reliability and capacity.

• Advocate for AI integration throughout Freenome by collaborating with domain experts to customize guidance and tools.

• Leverage AI for platform improvements and develop secure, cost-efficient agentic workflows and LLM-driven applications.

• Enhance visibility into cloud costs and spearhead initiatives to minimize waste while maintaining performance, reliability, and scientific productivity.

• Mentor engineers through pairing, design reviews, delegation, and constructive feedback, fostering a high-performance culture.

⛳️ Requirements

• Over 12 years of relevant software engineering experience or equivalent, ideally in platform teams, delivering complex systems from design through to production.

• At least 3 years of experience guiding complex initiatives from start to finish across multiple teams.

• A minimum of 3 years in building and managing production platforms utilizing Infrastructure as Code on a public cloud, preferably Azure or GCP.

• Proficient in Python and at least one additional high-level programming language.

• Extensive knowledge of Linux internals, networking, and virtualization, with practical experience in troubleshooting and performance tuning at the system level.

• Strong expertise in Kubernetes, including advanced features such as controllers, operators and CRDs, admission control, scheduling, autoscaling, service mesh, or multi-cluster networking.

• Good judgment in distributed systems and platform design, covering governance, capacity, reliability, cost, data processing, and storage.

• Leadership in software architecture, including clean coding practices, design documentation, ADRs, constructive reviews, and collaborative technical decision-making.

• Proven track record of assisting engineers or domain experts in their growth and fostering independence.

• Experience collaborating with specialized teams in areas such as data science, AI/ML, computational biology, or related sectors.

• Practical experience in AI-assisted development and a history of creating reusable tools or automating workflows.

• Additional experience or 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 Apache Iceberg; FinOps practices, workload cost attribution, and measurable cloud savings would be advantageous.

🏝️ Benefits

• Equity

• Cash bonuses

• Comprehensive medical benefits

• Extensive financial benefits

• Additional perks

• Occasional travel to headquarters 2-3 times a year