Senior Software Engineer II, 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.

Summary

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.

The Role

As a Senior Software Engineer II on the OS Ecosystem team, you will act as a technical leader 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 architecting 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. Whether focusing on data storage and governance patterns, containerized compute governance, optimization, and orchestration, or forging new connections with the latest GenAI technologies, you will drive technical strategy to ensure our platform remains a robust foundation for cutting-edge technologies that help patients live longer, healthier lives.

Responsibilities

• Lead Technical Architecture: Drive the high-level design and architecture of distributed systems at scale, ensuring alignment with strategic goals for both data management and compute platforms.

• System Design & Implementation: Design, implement, and test complex production backend web services in TypeScript, serving as a standard-bearer for code quality and system reliability.​

• Ecosystem Development:

• Data Focus: Architect systems for modeling, schema versioning, and enforcing data contracts between producers and consumers, utilizing cloud object storage and data warehousing technologies.

• Compute Focus: Enhance the containerization and orchestration platform to expand capabilities, connect new data sources, and increase scalability for scientific workloads.

• Stakeholder & Product Leadership: Use exemplary stakeholder management skills to work closely with Product Managers to translate complex business requirements into technical roadmaps, ensuring clear communication and alignment with business goals.

• Operational Excellence: Take operational responsibility for platform systems in production, including on-call duties. 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. Along with your Engineering Lead, you will be responsible for defining and promoting best practices for software engineering, including testing strategies, documentation, and code reviews.

• Support & Enablement: Leverage your expertise to support cross-functional science, ML, and AI teams. You will act as a high-level escalation point to answer user questions and resolve development or production issues regarding data and compute workflows.

Qualifications

• Experience: 8+ years of experience in software engineering, with a strong focus on platform engineering, dist