As a Senior Backend Software Engineer on our Diagnostics team, you'll build the part of Regard that reads a patient's medical chart — labs, medications, vitals, procedures, prior notes, history — and determines which conditions are present, along with the evidence supporting each one. You'll design and develop critical backend services and drive them end-to-end through the full product lifecycle: ideation, planning, design, execution, deployment, and iteration.

Our senior engineers are true technical leaders by driving architectural decisions, mentoring teammates, and leading major projects that help set the bar for engineering excellence. You'll collaborate closely with product, design, clinicians, and fellow engineers to ship high-quality solutions that empower physicians and improve patient care.

About Regard

Regard's mission is to bring world-class healthcare to everyone. Our technology reasons through a patient's entire medical record to recommend diagnoses that would otherwise be missed, in real time at the point of care, during chart review, and in population-wide screening to identify patients who qualify for lifesaving treatment.

We work alongside some of the top health systems in the country to lead the change this industry needs. We're excited by challenges, mission-oriented work, and meaningful relationships. We want you to join us.

Our Tech Stack

Backend: Python, Go, PostgreSQL, Redis, Celery

Frontend: TypeScript, React

Infrastructure & DevOps: AWS, Docker, Kubernetes, GitLab CI/CD, Datadog

AI: OpenAI, Anthropic

Clinical standards: FHIR, ICD-10, SNOMED, LOINC, RxNorm

Responsibilities

Collaborate with product, design, and clinicians to design medium-to-large projects, often starting from an ambiguous problem statement and balancing speed to market, user experience, business goals, and technical architecture quality

Own backend services and drive improvements across system design, observability, testing, performance, and support

Model clinical data and design the schemas and service contracts that new product surfaces are built on

Work directly with clinicians to understand what a diagnosis requires, and turn that intent into logic and tooling they can extend themselves

Mentor and review code from other developers across backend services

Maintain and improve the quality of the codebase and tooling in your area of responsibility through proactive fixes and by proposing projects that improve the overall backend codebase

Participate in operational activities including on-call, monitoring, and production support

Minimum Qualifications

BS in Computer Science or equivalent experience

6+ years of professional experience with software development

Proficient in Python or Go with demonstrated ability to write and maintain production-quality code

Proven experience building data-intensive applications, backed by strong data fluency in designing and evolving schemas consumed across cross-functional teams

Able to participate in on-call operational support for your areas of responsibility

Able to travel up to 4 weeks a year for company co-working and/or retreat weeks

Practical experience leveraging AI coding tools in day-to-day software development (e.g., Cursor, Claude Code, Codex)

Preferred Qualifications

Exposure to clinical or healthcare data (e.g., FHIR, EMR integrations, clinical terminologies, or revenue cycle)

Comfortable with systems that produce ranked, scored, or probabilistic output and evaluating that output against imperfect ground truth

Experience in a startup and/or high-growth environments

Experience building tools for non-engineer domain experts

Experience managing cloud infrastructure and LLM integrations

Experience working on a mature enterprise SaaS product

Hybrid Work | Location | Work Authorization

For this role, Regard is currently only considering candidates who are authorized to work in the US without visa sponsorship, and are within the New York City metro area, San Francisco Bay Area, or Los Angeles

Our expectation for this role is to be in the office 2 days per week. We also require more frequent in-office work during the onboarding period and team onsite weeks up to once per month.