Senior Software Product Engineer (Remote Opportunity)

Posted about 1 month agoViewed
Atlanta, GA / San Francisco, CAFull-TimeHealthcare Technology
Company:VetsEZ
Location:Atlanta, GA / San Francisco, CA, EST, PST
Languages:English
Seniority level:Lead, 2+ years
Experience:2+ years
Skills:
AWSLeadershipNode.jsPythonArtificial IntelligenceCloud ComputingMachine LearningSoftware ArchitectureTypeScriptRESTful APIsDevOpsMicroservicesMentoringCompliancePrototyping
Requirements:
Bachelor’s Degree in Computer Science, Software Engineering, or related field. 2+ years of software engineering experience, including at least 1 year in a leadership or technical lead role. Strong proficiency in Python, TypeScript, and Node.js, with deep understanding of cloud-native and event-driven architectures. Hands-on experience integrating LLMs, intelligent agents, or IDP systems into production environments. Knowledge of Agent-to-Agent (A2A) and Model Context Protocol (MCP) frameworks. Proven ability to design and deliver secure, scalable systems using AWS services. Familiarity with FHIR, HL7, and X12 interoperability standards and healthcare data governance. Experience using AI-assisted developer tools (GitHub Copilot, Cursor, etc.). Strong communication and leadership skills. Eligibility to obtain a U.S. government clearance (U.S. citizenship required).
Responsibilities:
Design, build, and deploy scalable, AI-enabled microservices using AWS, Node.js, and Python. Use AI-assisted tools and LLM integrations to reduce development time and increase code quality. Rapidly develop, test, and operationalize AI-driven product ideas. Implement secure APIs, event-driven pipelines, and FHIR-based interoperability patterns. Build APIs and pipelines that convert ML outputs into decision-ready intelligence. Guide engineers in secure coding, scalable architecture, and AI-integrated development best practices. Implement monitoring, logging, and automated alerting. Ensure all AI-enabled components meet HIPAA, VA, and NIST security requirements. Partner with clinicians, product managers, and compliance stakeholders. Lead performance tuning, cost optimization, and technical debt reduction initiatives. Develop and maintain shared libraries, SDKs, and automation templates. Evaluate and recommend emerging AI technologies, frameworks, and cloud services.
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