Senior Software Engineer, OS Ecosystem

Passionate about precision medicine and advancing the healthcare industry?

Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus’ proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.

Recent advancements in technology have made it possible for AI to impact clinical care in a meaningful way. Tempus’ proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.

At Tempus, software and AI products are owned and developed by small, autonomous teams composed of engineers, designers, scientists, and product managers. Teams set the goals, build the software, deploy the code, and contribute to a growing suite of capabilities that drives research and delivers advanced diagnostic and treatment improvements for our clinical partners and their patients. Tempus OS is the internal software platform that supports and connects all these teams and their products, enabling them to go farther, faster while safeguarding patient safety and privacy.

As a Senior Software Engineer on the OS Ecosystem team, you will act as a core technical contributor in building the foundational infrastructure that powers Tempus’ clinical, research, and AI capabilities. The OS Ecosystem team provides a platform that supports the full lifecycle of data and compute for a multitude of Tempus systems —from the "assembly line" of secure data ingestion, cataloging, and analysis to the orchestration of complex algorithms and models.

You will play a pivotal role in designing and developing systems that allow bioinformatics scientists, ML and Agent developers to rapidly develop, deploy, and operate their solutions in a highly regulated, secure, and scalable environment. Focusing on data storage, modeling, governance, and warehousing patterns, and forging new connections with the latest GenAI technologies, you will drive technical design and implementation to ensure our platform remains a robust foundation for cutting‑edge technologies that help patients live longer, healthier lives.

• Technical Design:
  Drive in-depth technical design of platform features for data modeling, schema versioning, and enforcing data contracts between producers and consumers, using cloud object storage and data warehousing technologies, ensuring alignment with functional and non‑functional requirements.
• Implementation:
  Implement, test, and support backend web services and data pipelines in Type Script, and Python, serving as a standard‑bearer for code quality and system reliability.
• Stakeholder & Product
  
  Collaboration:
  
  Work closely with Product Managers to translate complex business requirements into technical designs, ensuring clear communication and alignment with business goals and users.
• Operational Excellence:
  Take operational responsibility for platform systems in production as part of the team's support rotation. You will not only troubleshoot complex technical issues but also proactively monitor systems to ensure reliability and performance optimization.
• Mentorship & Best Practices:
  Mentor other engineers on your team, fostering a culture of continuous learning and adoption of best practices in testing, documentation, and code review.

• Experience:
  
  5+ years of experience in software engineering, with a focus on platform or data engineering, distributed data systems, or backend web services.
• Education:
  
  Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent industry experience.
• Language Proficiency:
  Demonstrated success in writing production backend services in Type Script, Python, or similar languages, with a willingness to work primarily in a Node.js and Python environment.
• Strong understanding of data structures, algorithms, and software design principles.
• Familiarity…