Job Details

Some of the benefits we offer (once the role is permanent):Remote Work EnvironmentFlexible Time Away From Work Policy including PTO, Personal and Sick DaysCompetitive Salary and Health/Medical BenefitsLife and DisabilityEmployee Assistance ProgramFHIR Study Program and Skillsoft LearningSuper HAPI Fun ClubResponsibilities:Lead architectural design and solutioning during discovery and early implementation phases, partnering with healthcare customers to uncover requirements and design scalable, standards‑aligned solutions.Provide architectural oversight across the full implementation lifecycle and post–go‑live, ensuring solutions remain aligned with Smile's best practices, technical standards, and platform capabilities.Assess customer‑specific requirements and recommend approaches for performance optimization, data ingestion workflows, bundle design, and terminology mapping.Collaborate with Product, Engineering, QA, Agile Leads, Solution Architects, and Technical Account Managers to resolve architectural questions and validate implementation patterns.Adapt and evolve solution designs as delivery progresses, addressing new constraints, scalability challenges, and deployment issues.Participate in customer‑facing engagements including design reviews, technical workshops, retrospectives, and escalation discussions, providing clear technical direction at key decision points.Contribute to internal architecture governance through design reviews, documentation, and reusable solution assets, while staying current with Smile's product roadmap and relevant regulatory requirements (e.g., CMS interoperability mandates).Requirements:10+ years of experience in software engineering, technical consulting, or solution architecture, supporting complex healthcare implementations.Proven ability to lead customer‑facing architecture and design discussions with payer, provider, or government healthcare organizations.Experience designing solutions involving real‑time data ingestion technologies such as Kafka, Camel, or Pulsar, and implementing FHIR‑based data workflows.Strong understanding of clinical data models and healthcare terminology standards (e.g., SNOMED CT, RxNorm, LOINC), including their use across ingestion, transformation, and API layers.Working knowledge of cloud‑native environments (AWS, Azure, or GCP) and containerized deployments using technologies such as HELM, Docker and Kubernetes.Demonstrated ability to evaluate technical trade‑offs and adapt solution designs as new constraints, requirements, or implementation challenges emerge.Excellent communication and collaboration skills, with the ability to translate complex technical concepts for both technical and non‑technical stakeholders.Proficiency with solution diagramming tools such as Lucidchart (or equivalent) to clearly communicate architecture, system interactions, and data flows.#J-18808-Ljbffr