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.
The Role
As a Senior Software Engineer II on the Data Products team, you will act as a technical leader in building the foundational infrastructure that powers Tempus’ clinical, research, and AI capabilities. The Data Products team provides a platform that supports the full lifecycle of data — from the secure ingestion of data to the cataloging and analysis of that data, powering complex algorithms and models.
You will play a pivotal role in architecting and driving technical strategy for services and APIs that allow bioinformatics scientists, ML and Agent developers to rapidly develop, deploy, and operate their solutions in a highly regulated, secure, and scalable environment. You will focus on data storage and governance, containerized compute orchestration, and forging new connections with the latest GenAI technologies 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 Tempus’s data management platform.
• 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.
• Data Pipelining: Build and maintain pipelines to load schema-defined data into the data warehouse using cloud storage and data warehousing technologies. Provision access to this data according to Tempus’s internal policies and regulatory obligations.
• 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 or data engineering, with a strong focus on platform 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 JavaScript/TypeScript, Python, or other similar languages, with a willingness to work primarily in a Node.js and Python environment.
• Advanced Cloud & Infrastructure Skills:
◦ Deep experience designing and running production systems on public cloud platforms (GCP preferred).
◦ Working knowledge of cloud object storage (GCS, S3), ETL services (Dataflow), and data warehousing (BigQuery).
• Data & Database Expertise: Strong familiarity with distributed, relational database design (GCP Cloud Spanner) and data modeling (JSON Schema, Avro, or similar), including schema migrations and enforcing data contracts.
• Technical Design: Proven track record of translating complex business requirements into scalable technical designs for distributed systems.
Preferred Qualifications• Cloud Ecosystem: Experience with GCP services including GKE, Cloud Spanner, BigQuery, and Dataflow is a plus.
• DevOps Culture: Strong familiarity with CI/CD pipelines, immutable data patterns, and DevOps practices.
• Domain Knowledge: Experience with data cataloging, data lineage, or platforms supporting ML/GenAI and/or bioinformatics workflows.
#LI-BL1$150,000 - $190,000
This role is based in Chicago, with a hybrid setting of 3 days/week
The expected salary range above is applicable if the role is performed from Illinois and may vary for other locations (California, Colorado, New York). Actual salary may vary based on qualifications and experience. Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position.
We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Skills Required
- Professional experience in enterprise, integration, or data architect role in the healthcare domain
- Working knowledge of healthcare transmission formats and data models
- Delivered cloud-native solutions using AWS PaaS, GCP, Docker, CI/CD, DevOps, and microservices
- Led teams in agile environments and developed incremental delivery plans
- Hands-on technical contributor capable of mentoring the team
- Experience with healthcare integration technologies and standards (HL7, DICOM, FHIR)
- Experience with genomic data formats and genomic data models
- Experience architecting solutions in hybrid on-prem/cloud environments
- Experience working in a HIPAA-regulated environment and integrating with health system EMRs
What the Team is Saying
Tempus AI Compensation & Benefits Highlights
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Healthcare Strength — Comprehensive medical, dental, vision, life, and short‑term disability coverage is paired with FSA and EAP/mental‑health support, plus pet insurance. Feedback suggests this broad healthcare foundation is strong for a tech/healthtech employer.
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Parental & Family Support — Parental leave is highlighted across sources, with multi‑week leave for new parents and family supports like an onsite Mother’s Room noted. Feedback suggests these programs are a meaningful part of the package.
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Wellbeing & Lifestyle Benefits — Day‑to‑day perks include a company cafeteria with meals, stocked snacks, an on‑site barista, commuter programs, gym discounts, ERGs, and team outings. Feedback suggests these amenities enhance the on‑site experience.
Tempus AI Insights
What We Do
We bring together one of the world’s largest libraries of multimodal clinical and molecular data with a robust suite of AI tools to help physicians personalize care in real time, connect patients with therapies and clinical trials, and enable partners to accelerate discovery and development of new treatments. With ~8 million de-identified research records and 350+ petabytes of data, Tempus partners with more than half of U.S. oncologists and the majority of the top 20 global pharma companies. Our teams are pioneering work across oncology, neurology, psychiatry, cardiology, and beyond—transforming how care is delivered and therapies are developed. At Tempus, every role contributes to our mission: to help each patient benefit from the experiences of those who came before. For more information, visit tempus.com.
Why Work With Us
We’re looking for people who can change the world. People who question the status quo and refuse to shy away from tough problems. For builders who are never done building, and the learners who are never done learning. Passionate individuals with undying curiosity who want to take on one of the greatest challenges humanity has ever faced—head on.
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Tempus AI Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Most of the team follows a hybrid policy, with some roles allowing for a fully remote arrangement and some roles being onsite only.
