- Страна
- США
- Зарплата
- 161 925 $ – 227 325 $
Откликайтесь
на вакансии с ИИ

Senior Software Engineer II
Отличная вакансия в социально значимой сфере (биотех) с прозрачным и высоким диапазоном зарплаты. Удаленный формат работы и работа с передовым стеком (Flyte, Lakehouse, AI) делают позицию крайне привлекательной.
Сложность вакансии
Высокая сложность обусловлена требованиями к глубокому знанию Kubernetes (тысячи узлов), IaC и опыта работы с Data Lakehouse. Роль подразумевает лидерство в кросс-функциональных проектах на стыке инженерии и науки.
Анализ зарплаты
Предлагаемая зарплата ($161k - $227k) полностью соответствует и даже немного превышает рыночные показатели для Senior/Staff ролей в США, особенно в секторе Biotech/HealthTech. Верхняя граница диапазона отражает высокую ответственность и сложность задач.
Сопроводительное письмо
I am writing to express my strong interest in the Senior Software Engineer II position within the Platform team at Freenome. With over six years of experience in building reliable production systems and a deep expertise in Python, Kubernetes, and cloud infrastructure, I am eager to contribute to your mission of enabling scientific innovation through a robust data lakehouse and scalable compute environments.
In my previous roles, I have successfully led projects focused on platform usability and developer effectiveness, aligning closely with Freenome's product mindset. My hands-on experience managing large-scale Kubernetes clusters and implementing Infrastructure as Code (IaC) ensures that I can contribute immediately to your evolving stack. I am particularly excited about the opportunity to support your interdisciplinary user base and help shape the future of multi-cancer detection through advanced data engineering and AI-assisted workflows.
Составьте идеальное письмо к вакансии с ИИ-агентом

Откликнитесь в freenome уже сейчас
Присоединяйтесь к Freenome, чтобы создавать платформу данных нового поколения для борьбы с раком — откликайтесь прямо сейчас!
Описание вакансии
About this opportunity:
At Freenome we are seeking a Senior Software Engineer to grow our Platform team. This is an opportunity to join a stellar group of engineers with the mission to enable scientific innovation, cross-functional collaboration and data intelligence as we move from R&D to the commercial launch of our lifesaving multi-cancer detection blood tests. This team builds and operates the multi-tenant platform that provides a governed data lakehouse and query infrastructure, scalable batch and distributed compute, and self-service environments for development and analytics to an interdisciplinary user base across all Freenome.
The ideal candidate has experience building internal platforms, enjoys collaborating with other domain experts, and is comfortable operating in a fast-evolving technical and organizational environment.
The role reports to our engineering management team. This role will be a Remote role.
What you’ll do:
- Lead projects end to end and contribute to impactful platform initiatives that power R&D, operational excellence and business intelligence analytics.
- Partner with engineers, scientists, product managers and business teams to identify high-leverage opportunities and build common solutions.
- Integrate open-source, enterprise and SaaS technologies into our evolving stack.
- Design and ship components of a new platform architecture to enable multi-tenancy, fine-grained data governance, workload isolation and scaling.
- Contribute to the growth of our Data Lakehouse platforms, enabling well governed data products for analytical and operational use cases.
- Continuously improve the Research Platform to meet our Science’s evolving needs for experimentation, ML Ops, data processing and analysis.
- Help shape how we approach data modeling, context engineering and emerging semantic layers to make data easier to discover and to use.
- Advocate for a product mindset within Platform and Data engineering at Freenome, focusing on developer effectiveness and platform usability.
- Explore and pilot AI-assisted or agentic workflows to enhance individual and team productivity, sharing learnings with the broader organization.
- Collaborate through system design, code reviews and pairing, promoting a strong team culture of accountability, learning, and psychological safety.
- Support platform users to troubleshoot issues and unblock critical work.
- Model Freenome’s values and principles in your work and interactions.
Must haves:
- 6+ years of experience building and operating highly reliable production software systems, preferably in platform engineering teams or similar.
- Proficiency with Python and experience with one or more other high-level programming languages.
- Strong knowledge of Linux fundamentals including networking and containerization.
- Hands-on experience operating cloud services, storage and compute using IaC with at least one major cloud provider, preferably Azure or GCP.
- Operational experience managing and optimizing large Kubernetes clusters, preferably in single or multi-cluster environments with thousands of nodes.
- A pragmatic approach to reliability, observability, performance tuning, and operational excellence.
- Excellent communication and documentation skills.
- Comfort with cross-functional collaboration and navigating tradeoffs.
- BS or higher in computer science or a related technical field, or comparable experience.
Nice to haves:
- Columnar data processing, open lakehouse technologies and table formats.
- Supporting researchers, data scientists, AI/ML teams.
- Flyte or other modern workflow orchestrators.
- Everything as Code approach to infrastructure, policies, data.
- Operating production systems in Microsoft Azure.
- Open-Source contribution and maintenance.
Benefits and additional information:
The US target range of our base salary for new hires is $161,925 - $227,325. 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. We invite you to check out our career page @ freenome.com/job-openings/ for additional company information.
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.
- Family & Medical Leave Act (FMLA)
- Equal Employment Opportunity (EEO)
- Employee Polygraph Protection Act (EPPA)
#LI-REMOTE
Создайте идеальное резюме с помощью ИИ-агента

Навыки
- Python
- Linux
- Kubernetes
- Infrastructure as Code
- Azure
- Google Cloud Platform
- Docker
- Data Lakehouse
- Flyte
- Machine Learning Operations
Возможные вопросы на собеседовании
Проверка практического опыта управления масштабируемыми системами, указанного в требованиях.
Расскажите о вашем опыте оптимизации и управления кластерами Kubernetes с тысячами узлов: с какими основными проблемами производительности вы сталкивались?
Вакансия делает упор на создание платформы данных (Lakehouse).
Как бы вы подошли к проектированию системы разграничения прав доступа (fine-grained data governance) в многопользовательском дата-лейкхаусе?
В описании упоминается использование AI для продуктивности.
Какие AI-инструменты или агентные ворклоу вы внедряли для улучшения процессов разработки или эксплуатации?
Роль требует взаимодействия с учеными и аналитиками.
Опишите случай, когда вам нужно было перевести сложные научные требования в техническую архитектуру платформы. Как вы расставляли приоритеты?
Проверка навыков работы с облачной инфраструктурой через код.
Каков ваш подход к реализации стратегии 'Everything as Code' для облачных ресурсов и политик безопасности в Azure или GCP?
Похожие вакансии
Senior Software Engineer, Cloud Services
Senior Software Engineer, Platform Infrastructure
Senior Software Engineer, Subscriptions Platform
Senior Software Engineer, Advertising
Sr. Software Engineer, Backend
Senior Software Engineer, Video Encoding
1000+ офферов получено
Устали искать работу? Мы найдём её за вас
Quick Offer улучшит ваше резюме, подберёт лучшие вакансии и откликнется за вас. Результат — в 3 раза больше приглашений на собеседования и никакой рутины!
- Страна
- США
- Зарплата
- 161 925 $ – 227 325 $