Zealogics Inc

IT & Engineering for a better tomorrow.

Solutions Architect

Solutions EngineerSolutions EngineerContractRemoteTeam 501-1,000H1B No SponsorCompany SiteLinkedIn

Location

United States

Posted

39 days ago

Salary

Not specified

EnglishJavaJava ScriptMicroservicesPythonType Script

Job Description

• Architect and hands-on build a ground-up publication management platform supporting bibliographic data, curation workflows, reporting, and integrations. • Define and implement the overall system architecture, including application, data, integration, and security layers. • Actively write, review, and maintain production-quality code, setting standards and best practices for the development team. • Select and implement modern technology stacks, frameworks, and architectural patterns. • Design and develop scalable APIs and integration patterns with upstream and downstream systems. • Build and optimize data models and persistence layers for complex metadata and reporting needs. • Design and implement AI-enabled features, such as metadata enrichment, publication matching, intelligent curation assistance, data validation, and workflow automation. • Collaborate closely with business analysts, developers, and stakeholders to translate requirements into working solutions. • Ensure solutions meet security, governance, privacy, and compliance standards. • Provide architectural guidance while remaining deeply engaged in implementation through all phases of development.

Job Requirements

  • Experience with publication management systems, research information systems.
  • Familiarity with scholarly metadata standards such as DOI, ORCID, MeSH, PubMed, or similar.
  • Background in research, healthcare, life sciences, or academic environments.
  • Experience leading greenfield development initiatives and phased delivery models.
  • Hands-on experience designing and implementing AI/ML capabilities within enterprise applications.
  • Experience with AI use cases such as: NLP-based metadata extraction and enrichment, intelligent classification and matching, workflow automation and decision support.
  • Understanding of responsible AI principles, including data governance, explainability, and privacy.
  • Proven experience as an Application Architect / Solutions Architect with significant hands-on development responsibility.
  • Strong proficiency in modern programming languages and frameworks (e.g., Java, Python, JavaScript/TypeScript, or equivalent).
  • Hands-on experience with modern architectural patterns, including: Microservices or modular architectures, API-first and event-driven design.
  • Experience with containerized environments, CI/CD pipelines, and DevOps practices.
  • Demonstrated ability to design and build data-intensive systems.
  • Excellent communication skills and ability to mentor and guide development teams through example.

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