高级/资深软件工程师 - Python
Senior/Staff Software Engineer - Python
关于公司：Artera 是一家人工智能初创公司，开发医疗人工智能测试，为癌症患者提供个性化的治疗方案。Artera 的使命是为全球的患者和医生提供个性化的医疗决策。
随着我们不断扩展，核心基础设施必须无缝处理跨越计费平台、电子健康记录（EHR）系统和多样化的医疗供应商网络的复杂工作流程。我们正在招聘一名软件工程师，专注于构建、优化和自动化 Artera 的基础数据管道，从端到端进行管理——初期重点放在我们的收入周期和计费运营上。
员工平等机会：在 Artera，我们重视汇聚来自不同背景的个体，为患者和医生开发创新解决方案。作为一家平等就业机会的雇主，我们不基于种族、肤色、宗教、国籍、年龄、性别（包括怀孕）、身体或精神残疾、健康状况、基因信息、性别认同或表达、性取向、婚姻状况、受保护的退伍军人身份或任何其他受法律保护的特征进行歧视。
核心职责：
- 在 AWS 上设计、部署和维护安全、可扩展的软件解决方案，以支持高吞吐量的数据处理，确保我们的云基础设施能够无缝处理 EHR 数据摄入、AI 推理工作负载和安全的合作伙伴集成，同时保持严格的医疗合规标准。
- 将销售、财务和客户成功团队的需求转化为明确的工程交付成果，具备清晰的 SLA、可观测性和回滚路径。
- 使用 AI 代码生成和其他 AI 辅助开发工具加速交付，生成、审查和重构 Python 代码。
任职要求：
- 计算机科学、软件工程或相关领域的学士学位，或同等的实际经验。
- 10 年以上专业软件工程经验，有生产系统的交付和运维经验。
- 精通 Python。
- 有在云环境中（AWS 优先）领导设计、开发和部署生产级高可用软件系统的经验。
- 有版本控制（Git）、CI/CD 流水线和自动化测试的经验。
- 具备良好的书面和口头沟通能力，能够直接与财务部门和外部供应商合作。
期望经验：
- 有 AWS 和 ECS 的使用经验
- 有与医疗行业供应商合作的经验
查看英文原文
About Us: Artera is an AI startup that develops medical artificial intelligence tests to personalize therapy for cancer patients. Artera is on a mission to personalize medical decisions for patients and physicians on a global scale.
As we scale, our core infrastructure must seamlessly handle complex workflows spanning billing platforms, electronic health record (EHR) systems, and varied healthcare vendor networks. We are hiring a Software Engineer dedicated to building, optimizing, and automating Artera’s foundational data pipelines end-to-end—with an initial, heavy focus on our revenue cycle and billing operations.
Equal Employee Opportunity: At Artera, we value bringing together individuals from diverse backgrounds to develop new and innovative solutions for patients and physicians. As an equal opportunity employer, we do not discriminate on the basis of race, color, religion, national origin, age, sex (including pregnancy), physical or mental disability, medical condition, genetic information gender identity or expression, sexual orientation, marital status, protected veteran status, or any other legally protected characteristic.
Essential Responsibilities:
- Architect, deploy, and maintain secure, scalable software solutions within AWS to support high-throughput data processing, ensuring our cloud infrastructure seamlessly handles EHR data ingestion, AI inference workloads, and secure partner integrations while maintaining strict healthcare compliance standards.
- Translate requirements from Sales, Finance, and Customer Success into well‐scoped engineering deliverables with clear SLAs, observability, and rollback paths.
- Use AI Code-gen and other AI‐assisted development tools to accelerate delivery, generating, reviewing, and refactoring Python code.
Experience Requirements:
- Bachelor’s degree in Computer Science, Software Engineering, or equivalent practical experience.
- 10+ years of professional software engineering experience shipping and operating production systems.
- Strong proficiency in Python
- Demonstrated experience leading the design, development, and deployment of production-grade, highly available software systems in the cloud (AWS preferred).
- Experience with version control (Git), CI/CD pipelines, automated testing
- Strong written and verbal communication skills; able to work directly with Finance and external vendor counterparts.
Desired Experience:
- Experience with AWS and ECS
- Experience working with GraphQL and REST APIs
- Experience with SQL and NoSQL databases
- Experience with HL7, FIHR, and Electronic Health Record (ECR) integrations
Here are few posts from our teammates, partners and customer voices to highlight the work we do:
- Artera Shapes the Future of Cancer Treatment Using Machine Learning on AWS
- How Artera AI test allowed Bruno to avoid hormone therapy
- Startups are using AI to predict responses to Cancer Drugs
- ArteraAI validates its Prognostic Model in Advanced Prostate Cancer
- How Artera Enhances Prostate Cancer Diagnostics Using AWS