Software Engineer; Platform Backend Lead

About Cleerly

We’re Cleerly – a healthcare company that’s revolutionizing how heart disease is diagnosed, treated, and tracked. We were founded in 2017 by one of the world’s leading cardiologists and are a growing team of world-class engineering, operations, medical affairs, marketing, and sales leaders. We raised $223M in Series C funding in 2022, and in December 2024 received an additional $106M in a Series C extension funding.

Most of our teams work remotely with access to offices in Denver, Colorado;
New York, New York;
Dallas, Texas; and Lisbon, Portugal, with some roles requiring on‑site presence.

Cleerly has created a new standard of care for heart disease through value‑based, AI‑driven precision diagnostic solutions with the goal of helping prevent heart attacks. Our technology goes beyond traditional measures of heart disease by enabling comprehensive quantification and characterization of atherosclerosis, or plaque buildup, in each of the heart arteries. Cleerly’s solutions are supported by more than a decade of performing some of the world’s largest clinical trials to identify important findings beyond symptoms that increase a person’s risk of heart attacks.

Our people use Google Workspace (GMail, Drive, Docs, Sheets, Slides), Slack, Confluence/Jira, and Zoom Video, and prior experience in these areas is a plus. Role or department specific technology needs may vary and will be listed as requirements in the job description. Travel is required for team meetings and cross‑function projects typically once a month or once per quarter; for some roles like sales or external facing roles travel could be up to 90 % of the time.

We are seeking an experienced Platform Backend Lead Engineer to join the core technical team of our growing next‑generation enterprise‑level imaging platform. This individual will serve as the Technical Lead for the platform backend, driving the end‑to‑end delivery of the Hub orchestration layer and its critical integrations with third‑party AI engines and reporting vendors.

• Define backend architecture, including service boundaries, API contracts, data flows, and reliability patterns.
• Collaborate closely with Product, Program, SRE, SQA, and Software Engineers, as well as development partners, to build the next generation product for heart disease diagnosis.
• Own core services: platform orchestration, integration services, case/job lifecycle management, routing policies, third‑party integration endpoints, and results ingestion/normalization.
• Set architectural standards, service contracts, and error semantics to ensure the platform is observable, resilient, and production‑ready.
• Design, document, and demonstrate technical solutions using flowcharts, diagrams, and clear code comments.
• Participate actively in the full software development life cycle from requirements analysis through testing, release, and maintenance.
• Perform rigorous code reviews, enforce unit test coverage, and drive bug triage and resolution.
• Develop and maintain APIs, integrations, and libraries that support the platform.
• Integrate logging, metrics, and tracing tools to meet the platform’s observability goals.

• 8–12+ years building complex backend platforms (microservices, APIs, distributed systems).
• Strong proficiency in API design (REST/gRPC) with emphasis on versioning and backward compatibility.
• Expertise in event‑driven architectures and robust workflow orchestration.
• Extensive data modeling experience (relational and document stores) with audit‑friendly design.
• Hands‑on coding mastery in a production language (Java/Kotlin, Go, Python, C#).
• Proven ownership of reliability features (idempotency, retries, Dead Letter Queues, circuit breakers).
• Strong knowledge of security fundamentals: auth
  
  N/auth
  
  Z, mTLS, principle of least privilege.
• Experience with performance engineering, latency budgets, p95/p99 tuning, and load testing.
• Deep experience building and operating backend services in AWS (VPC, IAM, KMS, Cloud Watch).
• Familiarity with EKS/ECS and AWS Machine Learning services (Sage Maker).
• Experience designing multi‑tenant systems (isolation,…