Software Engineer; Platform Backend Lead Virtual

Virtual US

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 which has enabled rapid growth and continued support of our mission.

In December 2024 we received an additional $106M in a Series C extension funding. Most of our teams work remotely and have access to our offices in Denver, Colorado, New, York, New York, Dallas, Texas, and Lisbon, Portugal with some roles requiring you to be on-site in a location.

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.

At Cleerly, we collaborate digitally and use a wide variety of systems. Our people use Google Workspace (GMail, Drive, Docs, Sheets, Slides), Slack, Confluence/Jira, and Zoom Video, 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.

While we are mostly a remote company, travel is required for some team meetings and cross function projects typically once per 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.

• Own Core Services:
  Be the technical owner for the platform's core orchestration and integration services, including case/job lifecycle management, routing policies, third-party integration endpoints, and results ingestion/normalization.
• Define Architectural Standards:
  Set architecture standards, define service contracts and error semantics, and ensure the platform is observable, resilient, and prepared to meet production SLAs.
• Design & Document Solutions:
  Design, document, and demonstrate technical solutions by creating necessary flowcharts, layouts, diagrams, and clear code comments.
• Full Cycle Participation:
  Participate actively in the full software development life cycle (SDLC) from requirements analysis through testing, release, and maintenance.
• Drive Code Quality:
  Perform rigorous code reviews, ensure excellent unit test coverage, and actively drive bug triage and resolution.
• Development Contribution:
  Participate in developing and maintaining the necessary APIs, integrations, and libraries that support the platform.
• Implement Observability:
  Integrate logging, metrics, and tracing tools to effectively meet and maintain the platform's observability goals.

• 8–12+ years building complex backend platforms, including microservices, APIs, and distributed systems.
• Strong proficiency in API design (REST/gRPC), including critical concepts like versioning and backward compatibility.
• Expertise in event-driven architectures (queues/streams) and implementing robust workflow orchestration patterns.
• Extensive data modeling experience (relational and document stores) with a focus on audit-friendly design and data integrity.
• Hands-on coding mastery in a production language (e.g., Java/Kotlin, Go, Python, C#).

• Proven ownership of critical reliability features (idempotency, retries, Dead Letter Queues, circuit breakers).
• Strong…