Senior Software Engineer II, Data Products

About the Role 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. Responsibilities Lead Technical Architecture: Drive the high-level design and architecture of distributed systems at scale, ensuring alignment with strategic goals for Tempus’ 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’ 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. 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. Define and promote best practices for software engineering, including testing strategies, documentation, and code reviews. Support & Enablement: Leverage expertise to support cross-functional science, ML, and AI teams. Serve as a high-level escalation point to answer user questions and resolve development or production issues regarding data and compute workflows. Qualifications 8+ years of experience in software or data engineering, focusing on platform engineering, distributed data systems, or backend web services. Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent industry experience. Demonstrated success in writing production backend services in JavaScript/TypeScript, Python, or other similar languages, with willingness to work primarily in a Node.js and Python environment. 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). 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. Proven track record of translating complex business requirements into scalable technical designs for distributed systems. Preferred Qualifications Experience with GCP services including GKE, Cloud Spanner, BigQuery, and Dataflow. Strong familiarity with CI/CD pipelines, immutable data patterns, and DevOps practices. Experience with data cataloging, data lineage, or platforms supporting ML/GenAI and/or bioinformatics workflows. Location & Compensation This role is based in Chicago, with a hybrid setting of 3 days/week. Salary range: $150,000 - $190,000 (Illinois). Salary may vary for other locations. Benefits Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position. Equal Opportunity Employer 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. #J-18808-Ljbffr