基础设施工程师
Infrastructure Engineer
简介
- 我们是一家快速发展的初创公司，致力于通过为医生、护士和护理团队提供实时数据，使医疗保健更加主动，以挽救生命。
- 你将构建和维护Bayesian平台的基础设施，并开发CI/CD流程，使其他团队成员如软件工程师、数据科学家等能够加速他们的开发，从而推动我们的临床AI/ML模块产品扩展、医疗系统全院实施和收入增长。
关于我们
Bayesian Health的使命是通过为临床医生提供他们需要的见解，在患者诊疗的关键时刻做出正确的决策，从而改善患者结果。我们是一支多元化的团队，包括临床医生、工程师、机器学习专家、产品设计师和绩效改进领导者，致力于通过解锁数据的力量，实现更智能、个性化的护理交付。
我们获得了顶级科技和生物科技投资者的支持：Obvious Ventures、Andreessen Horowitz、美国医学协会风险投资部门、Catalio Partners和LifeForce Capital。我们的公司获得过许多奖项；最近的荣誉包括：福布斯AI前50强、世界经济论坛科技先锋、时代最佳发明、生物技术AI年度公司。
了解更多关于我们在《自然医学》上发表的最新论文，该论文将我们的产品与挽救的生命联系起来。
你将做什么
作为基础设施工程师，你将构建和维护Bayesian平台的网络和基础设施，并开发CI/CD流水线，使其他团队成员如软件工程师、数据科学家等能够加速他们的开发。这个角色对于推动我们的临床AI/ML模块产品扩展、医疗系统全院实施和收入增长至关重要。
职责
- 设计成本优化、容错的基础设施以实现扩展：提出对基础设施设计的改进建议，使我们能够扩大客户群并在我们的平台上部署新产品，同时管理云成本并确保可靠性。
- 简化开发和部署：定义分支和提升策略，使我们能够符合监管变更控制流程。使用GitHub构建和维护CI/CD流水线，实现自动化测试和部署。
- 建立并推广基础设施最佳实践：创建基础设施指南和模板，如Terraform模块，并教育团队成员如何利用它们。
查看英文原文
In Brief
- We’re a rapidly growing startup on a mission to make healthcare proactive by empowering physicians, nurses, and care team members with real-time data to save lives.
- You will build and maintain the infrastructure for the Bayesian platform and develop CI/CD to enable other team members such as software engineers, data scientists, etc. to accelerate their development will drive expansion of our clinical AI/ML module offerings, health system enterprise-wide implementations, and revenue growth.
Who We Are
Bayesian Health’s mission is to improve patient outcomes by empowering clinicians with the insights they need to make the right decision for the right patient at the point-of-care. We’re a diverse team of clinicians, engineers, machine learning experts, product designers, and performance improvement leaders committed to enabling smarter, patient-specific care delivery through unlocking the power of data.
We’re funded by top tier tech and biotech investors: Obvious Ventures, Andreessen Horowitz, American Medical Association’s venture arm, Catalio Partners, and LifeForce Capital. Our company has won many awards; most recent recognitions include: Forbes AI Top 50, World Economic Forum Tech Pioneer, Time Best Inventions, BioTech AI Company of the Year.
Read more about our recent publication in Nature Medicine that associates our products with lives saved.
What you’ll do
As an Infrastructure Engineer, you will build and maintain the networking and infrastructure for the Bayesian platform and develop CI/CD pipelines to enable other team members such as software engineers, data scientists, etc. to accelerate their development. This role is crucial to drive expansion of our clinical AI/ML module offerings, health system enterprise-wide implementations, and revenue growth.
Responsibilities
- Design cost-optimized, fault-tolerant infrastructure for scale: Propose enhancement to our infrastructure design to enable us to expand our client base and deploy new products on our platform while managing cloud costs and ensuring reliability.
- Streamline development and deployment: Define a branching and promotion strategy that allow us to comply with the regulatory change control process. Build and maintain CI/CD pipelines using GitHub for automated testing and deployment.
- Establish and evangelize infrastructure best practices: Create infrastructure guidelines and templates such as Terraform modules, and educate team members in leveraging them.
- Infrastructure support and maintenance: Continuous monitoring of system performance and reliability, and apply software upgrades accordingly. Collaborate with other team members in troubleshooting infrastructure issues and optimize performance.
- Secure infrastructure: Partner with SecOps engineer to implement security best practices complying with HIPAA, HITRUST, FDA, and client requirements.
- AI Ops Platform Architecture: Architect and build a secure, internal AI Ops platform to safely host and manage AI/ML agents for infrastructure and DevOps optimization.
Minimum qualifications
- 5+ years of experience building and operating production cloud infrastructure on AWS as a DevOps, Infrastructure, Site Reliability Engineer, or similar role.
- Proficient with Kubernetes, preferably with EKS, including cluster bootstrapping and day-2 ops.
- Strong operational knowledge of relational databases such as PostgreSQL/MySQL (backups, failover, performance tuning).
- Deep expertise in Terraform (or equivalent IaC) and an eye for building clean and scalable modules.
- Familiarity with observability tools, particularly the Datadog
- Experience building infrastructure with sensitive data that contains PHI/PII.
- Knowledge of CI/CD pipelines, preferably with CircleCI
- Excellent communication skills and a proven ability to collaborate with cross-functional teams (e.g., engineering, data science) to translate requirements into robust technical solutions.
- Experience handling ambiguity and uncertainty in a startup.
Preferred qualifications
- Experience with using AI agents to optimize infrastructure management or DevOps workflows.
- Experience with disaster recovery or business continuity plans.
- Experience with multi account, multi cluster topologies.
- Experience building systems in healthcare, life sciences, or similarly regulated industries
- Chaos engineering or game-day facilitation.
- Experience implementing and maintaining a GitOps framework.
Bayesian Health provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.