
10,000+ employees
💼 Consulting
📦 Logistics
⚕️ Healthcare Insurance
💰 Grant on 2023-06
Consulting • Logistics • Healthcare Insurance
Gainwell Technologies is the nation’s leading provider of digital and cloud-enabled solutions across the human services and public health ecosystem. With a mission-driven approach, Gainwell serves clients in all 50 U. S. states, focusing on improving health outcomes and delivering intuitive, human-centered experiences. Their comprehensive suite of solutions includes Medicaid Enterprise modernization, data analytics, provider services, and pharmacy solutions, all designed to advance the future of healthcare and enhance community well-being.
🕒 September 12
🌲 North Carolina – Remote
💵 $118.8k - $169.7k / year
⏰ Full Time
🔴 Lead
🏛️ Architect
🦅 H1B Visa Sponsor
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10,000+ employees
💼 Consulting
📦 Logistics
⚕️ Healthcare Insurance
💰 Grant on 2023-06
Consulting • Logistics • Healthcare Insurance
Gainwell Technologies is the nation’s leading provider of digital and cloud-enabled solutions across the human services and public health ecosystem. With a mission-driven approach, Gainwell serves clients in all 50 U. S. states, focusing on improving health outcomes and delivering intuitive, human-centered experiences. Their comprehensive suite of solutions includes Medicaid Enterprise modernization, data analytics, provider services, and pharmacy solutions, all designed to advance the future of healthcare and enhance community well-being.
• Own the target-state and transition architecture for modernized Medicaid DDI and Provider Plus capabilities • Set architecture direction and AI-enabled engineering guardrails across applications, data, integrations, cloud, security, platform delivery and operations • Balance client commitments, scalability, risk, cost and maintainability • Lead architecture governance, roadmaps, cost optimization and executive communication • Lead product, delivery, client and vendor stakeholders • Define enterprise guardrails for approved AI development tools, including permitted use, data boundaries, review and evidence requirements • Architect AI-assisted software-delivery patterns for code generation, test generation, specification-to-code workflows, legacy analysis and modernization • Evaluate AI-generated designs and code • Define human-in-the-loop controls, traceability, evaluation criteria, quality gates and escalation paths • Synthesize requirements, architecture dependencies, release impacts and modernization options using blended AI-driven analysis • Assess AI tool/vendor fit and communicate recommendations to governance and executive stakeholders
• 12 or more years in application architecture or product engineering • Architecture leadership for complex enterprise, SaaS or cloud-native platforms across the full SDLC • Deep experience with applications, APIs, integrations, data, security, DevSecOps, reliability and modernization • Medicaid, Medicare, MMIS/MES or highly regulated industry experience preferred • Experience with React/TypeScript, .NET 10/ASP.NET Core, microservices, serverless, DDD, distributed systems and API lifecycle • Experience with AWS Lambda, API Gateway, S3, SQS, Glue/Spark, MSK/Kafka, EKS, PostgreSQL, canonical models and reconciliation • Experience with Terraform, containers, Git, CI/CD, OpenTelemetry, SRE, high availability, disaster recovery, SLAs and SLOs • Knowledge of OIDC/OAuth, SSO, MFA, RBAC, secrets, encryption, tenant isolation, zero trust, HIPAA, PHI/PII protection, OWASP, Section 508/WCAG, secure SDLC and DevSecOps • Experience with multi-tenant SaaS, multi-version support, adapter/strangler patterns, functional parity and production adoption • Knowledge of approved AI development tools, including GitHub Copilot, Codex or comparable platforms • Ability to architect AI-assisted software-delivery patterns without bypassing SDLC controls • Ability to evaluate AI-generated designs and code for architecture alignment, security, quality, performance, maintainability, licensing/provenance and operational risk • Ability to define human-in-the-loop controls, traceability, evaluation criteria, quality gates and escalation paths • Ability to assess AI tool/vendor fit, integration, identity, privacy, auditability, cost and lifecycle risk
• Work flexibility • Learning and career development • Technical credentials and certifications • Generous, flexible vacation policy • Educational assistance • Leadership and technical development academies • 401(k) employer match • Comprehensive health benefits
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