C

Caris

Provides AI-powered molecular insights for cancer

Senior Software Engineer - Case Manager

Full-Stack EngineeringConfirmed live in the last 24 hours
Full-timeIrving, TX, USANo salary listed

About the Job

Requirements

  • A Bachelor's degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience.
  • At least 5 years of professional software engineering experience building and maintaining production software systems.
  • Hands-on experience across the full software development lifecycle in a team setting, including requirements refinement, design, implementation, testing, and release.
  • A track record of writing and maintaining automated tests for production software at the unit, integration, or end-to-end level.
  • Fluency in code review and in applying engineering standards to shared codebases.
  • Hands-on fluency with AI coding assistants and agentic development workflows in real engineering work.
  • Ability to sit, stand, and work at a computer for extended periods.
  • Successful completion of the pre-employment process, including a criminal background check, drug screening, applicable credit check, and reference verification.

Responsibilities

  • Design, implement, and maintain features and components across clinical software platforms using well-structured, testable, documented code suitable for a regulated production environment.
  • Lead and contribute to design and architecture discussions, presenting technical options and trade-offs that inform team decisions.
  • Give and receive peer code reviews, uphold code-quality standards, and surface issues affecting system correctness, performance, or compliance.
  • Work with product management to refine requirements, identify technical constraints, and estimate backlog items.
  • Write and maintain design documents, architecture decision records, and operational runbooks meeting SOX and FDA change-control obligations.
  • Instrument, monitor, and support production systems; participate in incident response and root-cause analysis for production issues.
  • Build automated test coverage across unit, integration, and end-to-end levels.
  • Automate recurring engineering and operational work through scripted, reviewed automation.
  • Mentor less-experienced engineers through code review, pair programming, and knowledge sharing.
  • Advocate for technical-debt remediation that improves system reliability, maintainability, or compliance posture.
  • Use AI coding assistants and agentic workflows across design, implementation, and test generation, with peer and engineering review as the quality gate.
  • Complete job-specific, safety, and compliance training assigned according to job functions.
  • Travel periodically to other Caris sites or partner locations as required.
  • Respond after hours to emergency production issues and participate in scheduled on-call rotations as required.

Desired Qualifications

  • Experience in healthcare, clinical laboratory, diagnostics, or life sciences software environments.
  • Familiarity with agile delivery frameworks and related tooling.
  • Cloud-native application development and deployment patterns.
  • Ability to lead technical design discussions and explain architecture decisions clearly to technical and non-technical audiences.
  • Experience mentoring engineers through code review, pair programming, or structured knowledge sharing.
  • Strong analytical and problem-solving skills applied to complex, regulated production systems.
  • Experience in environments governed by FDA requirements, SOX controls, CLIA, or HIPAA.

About the Company

Caris

Provides AI-powered molecular insights for cancer

Caris Life Sciences provides molecular information to cancer patients, oncologists, researchers, and payors to guide personalized cancer care. Its core product uses molecular profiling and artificial intelligence to interpret a cancer’s molecular features at diagnosis, helping predict how the cancer may behave and which treatments are likely to work. The company differentiates itself by delivering a comprehensive, AI-assisted set of molecular insights across multiple stakeholders, translating complex genomic and other molecular data into actionable treatment guidance. Its goal is to improve cancer outcomes by enabling more precise, tailored therapy for each patient.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Irving, TX
Founded
1996

Recently Posted Jobs

Explore more opportunities at Caris

See more jobs