Senior Identity Resolution Engineer - AI‑Driven MDM

Caris Life Sciences; Irving (TX); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Caris Life Sciences is seeking a Senior Software Engineer focused on identity resolution and master data management to design, build, and operate critical patient/provider identity capabilities within regulated clinical workflows.

You will own data models, APIs, and integration patterns, ensuring data quality, auditability, and compliance while collaborating across product, governance, and engineering teams in a hybrid on‑site setting in Irving, TX.

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, Data Engineering, or a related technical field, or equivalent practical experience.
• 5+ years of professional software engineering experience building and maintaining production software systems.
• 3+ of those years designing or operating entity‑resolution, record‑linkage, MDM, or comparable identity systems in production.
• 2+ of those years building system integrations through APIs, event‑driven patterns, or batch data pipelines.
• A track record of implementing matching logic across multiple identity attributes and evaluating it against measurable quality controls.
• Experience designing data models and remediation workflows for duplicate, conflicting, or incomplete records.
• Command of full SDLC practices, automated testing, code review, and controlled production delivery.
• Operating experience with high‑volume production services: observability, incident response, and root‑cause analysis.
• Hands‑on fluency with AI coding assistants and agentic development workflows in real engineering work.

Responsibilities

• Design, build, test, and maintain identity‑resolution and MDM services for patient and provider data.
• Develop and tune deterministic and probabilistic matching across names, addresses, dates of birth, contact information, identifiers, and other approved attributes.
• Implement workflows to merge, unmerge, link, and separate records, with durable audit trails and safeguards for downstream clinical use.
• Define and monitor resolution‑quality, data‑quality, performance, and reliability measures; investigate anomalies and strengthen controls.
• Own the data models, APIs, and integration patterns that connect upstream and downstream clinical systems.
• Partner with product management, data governance, clinical operations, compliance, and engineering to refine requirements and manage identity‑related risks.
• Write and maintain the technical record: design documents, architecture decision records, data‑flow documentation, and operational runbooks.
• Review code and submit work for review; contribute automated unit, integration, regression, and performance tests.
• Automate recurring engineering and operational tasks: repeated manual steps become scripted, reviewed automation rather than standing process.
• Instrument and support production services; participate in incident response, root‑cause analysis, and corrective‑action work.
• Mentor less‑experienced engineers through code review, pair programming, and knowledge sharing.
• Work AI‑first: use AI coding assistants and agentic workflows as daily practice across design, implementation, and test generation, with peer and engineering review as the quality gate.

Skills

5+ years software engineering

3+ years identity systems

2+ years APIs & data pipelines

Identity matching experience

SDLC & automated tests

Observability & incident response

AI coding assistants experience

Education

Bachelors in CS/Software/Data Eng or related field

Tools

MPI / identity-resolution platforms

HL7 / FHIR

SQL / relational databases

Graph databases

CI/CD tooling

Observability tooling

Job description

Caris Life Sciences is seeking a Senior Software Engineer focused on identity resolution and master data management to design, build, and operate critical patient/provider identity capabilities within regulated clinical workflows.

You will own data models, APIs, and integration patterns, ensuring data quality, auditability, and compliance while collaborating across product, governance, and engineering teams in a hybrid on‑site setting in Irving, TX.