Cleerly-posted about 8 hours ago
Full-time • Mid Level
Remote
101-250 employees

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. Key responsibilities include defining the backend architecture, specifically: Service boundaries and API contracts. Data flows and reliability patterns. The Lead Engineer will 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. The ideal candidate is a highly motivated, hands-on self-starter who thrives in a fast-paced environment. We are looking for a candidate who is: A strong team player and highly accountable. Committed to producing high-quality deliverables. Possesses strong communication skills and a genuine interest in collaborating with third-party development teams.

  • 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.
  • Experience & Scale: 8–12+ years building complex backend platforms, including microservices, APIs, and distributed systems.
  • API Design Mastery: Strong proficiency in API design (REST/gRPC), including critical concepts like versioning and backward compatibility.
  • Asynchronous Architecture: Expertise in event-driven architectures (queues/streams) and implementing robust workflow orchestration patterns.
  • Data Management: Extensive data modeling experience (relational and document stores) with a focus on audit-friendly design and data integrity.
  • Coding Proficiency: Hands-on coding mastery in a production language (e.g., Java/Kotlin, Go, Python, C#).
  • Reliability Ownership: Proven ownership of critical reliability features (e.g., idempotency, retries, Dead Letter Queues (DLQ), and circuit breakers).
  • Security Fundamentals: Strong knowledge of security fundamentals, including authN/authZ (authentication/authorization), service-to-service mTLS, and the principle of least privilege.
  • Performance Engineering: Experience with performance engineering techniques, including setting latency budgets, p95/p99 tuning, and extensive load testing.
  • Cloud Operations: Deep experience building and operating backend services in a cloud environment (AWS preferred).
  • AWS Services: Comfortable working with key AWS services (VPC, IAM, KMS, CloudWatch).
  • Containerization & ML: Familiarity with container orchestration (EKS/ECS) and AWS Machine Learning services (e.g., SageMaker).
  • Multi-Tenancy: Experience designing and implementing multi-tenant systems (including tenant isolation, quotas, and entitlements).
  • Technical Leadership: Able to lead small teams, set technical standards, and deliver incrementally with tight production timelines.
  • Previous experience as a Principal Software Engineer or equivalent in the Medical Imaging or Medical Device industry.
  • Deep exposure to the Healthcare Imaging domain, including DICOM/DICOMweb standards and PACS workflows.
  • Experience with modern healthcare data standards like FHIR/HL7 and systems requiring structured clinical reporting.
  • Practical experience with SaMD/regulated software requirements, including robust traceability, strict change control processes, and a strong validation mindset.
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