Senior Software Engineer

Tempus AI•Chicago, IL

15d•$110,000 - $160,000

About The Position

Tempus is seeking a highly motivated and capable Senior Software Engineer to help advance their Diagnostics initiatives. In this role, you will lead the analysis and design of complex technical problems, architect robust systems, and mentor emerging talent. This position requires deep expertise in full-stack engineering, relational data systems, bioinformatic workflow orchestration, and algorithmic development. As a senior technical leader, you will be expected to craft high-quality code, scale genomic data processing pipelines, leverage modern AI tooling, integrate APIs into user-facing applications, and embed agentic workflows into our core product ecosystem.

Requirements

5+ years of advanced TypeScript/JavaScript/python development with a deep understanding of language features and optimization techniques.
Extensive experience architecting and leading development with Node.js and NestJS frameworks.
Experience with React development with a demonstrated ability to design and implement complex component systems.
Proven experience building, scaling, and maintaining bioinformatics orchestration pipelines for high-throughput genomic data analysis using workflow frameworks such as Nextflow.
Hands-on experience managing, monitoring, and optimizing workflow executions via Seqera Platform (Nextflow Tower) across cloud environments.
Hands-on experience leveraging GenAI coding tools and autonomous agents (e.g., Copilot, Cursor, LLM APIs) to accelerate development, refactor codebases, and auto-generate comprehensive unit/integration tests.
Experience or strong working knowledge of integrating APIs and GenAI technologies into production applications.
Advanced PostgreSQL skills including query optimization, indexing strategies, and performance tuning.
Proven expertise implementing sophisticated Redis caching solutions for high-throughput systems.
Demonstrated success designing and implementing distributed microservice architectures that seamlessly interface with data-intensive bioinformatic workflows.
Significant experience orchestrating infrastructure and applications on GCP, including CI/CD pipelines and cloud-based compute backends for pipeline execution.
Mastery of enterprise-level design patterns and their practical application in large-scale, mission-critical systems.
7+ years of software development experience with a track record of technical leadership.
History of successfully delivering complex projects in fast-paced environments.
Strong communication skills with experience presenting technical solutions to diverse stakeholders.

Nice To Haves

Advanced expertise in Nextflow (DSL2) custom module/subworkflow development and integration with cloud-native storage/compute engines (e.g., GCP Batch, Life Sciences API, or AWS Batch).
Experience with search technologies such as Elasticsearch or OpenSearch.
Experience with containerization orchestration (Docker, Kubernetes).
Background in biotech, genomics, or precision medicine.

Responsibilities

Lead the analysis and design of complex technical problems.
Architect robust systems.
Mentor emerging talent.
Craft high-quality code.
Scale genomic data processing pipelines.
Leverage modern AI tooling.
Integrate APIs into user-facing applications.
Embed agentic workflows into our core product ecosystem.
Make high-impact architectural decisions that balance business needs, data infrastructure constraints, and scientific computing requirements.
Bridge the gap between software engineering and computational biology/bioinformatics teams to streamline workflow execution and data delivery.
Champion AI-assisted development practices, driving adoption of agentic workflows, and mentoring teams through the evolving landscape of AI tools.
Drive cross-team technical initiatives and resolve complex engineering challenges.