JOB TITLE: Advisor Product Developer JOB LOCATION: Remote WAGE RANGE : $65hr to $70hr JOB NUMBER: 26-01504 JOB DESCRIPTION Provide senior technical leadership for secure, scalable applications supporting Medicaid DDI and modernized Provider Plus delivery. Combine hands-on engineering, design review and AI-assisted development to improve productivity while enforcing architecture, security, testing and production-readiness standards. Key Responsibilities Lead application design and implementation standards across React/TypeScript, .NET 10/C#, APIs, data, integrations and AWS workloads. Review complex designs, code, test evidence and technical specifications; resolve defects, performance issues and production risks. Guide multi-tenant architecture, configuration-driven behavior, feature flags, versioning and compatibility with required legacy interfaces. Guide PostgreSQL modeling, conversion/reconciliation, REST and event-driven integrations, Glue/Spark batch workloads and Kafka/MSK patterns. Establish Terraform, CI/CD, automated quality gates, observability, secure logging, vulnerability remediation and release controls. Mentor engineers and communicate technical decisions, risks, tradeoffs and recommendations across product and DDI teams. Modernized DDI Technical Skills Engineering: Advanced .NET 10/ASP.NET Core, React/TypeScript, microservices, serverless, DDD, SOLID and distributed systems. Cloud and data: AWS Lambda, API Gateway, S3, SQS, Glue/Spark, MSK/Kafka, EKS, PostgreSQL, conversion and reconciliation. Platform delivery: Terraform, Git, containers, Azure DevOps/GitHub Actions, CI/CD, quality gates and release controls. Security: OIDC/OAuth, SSO, MFA, RBAC, secrets, encryption, tenant isolation, threat modeling and HIPAA, PHI/PII protection, OWASP, Section 508/WCAG, secure SDLC and DevSecOps. Reliability: Automated testing, structured logging, metrics, tracing, alerting and production support. AI-Driven Delivery Skills Champion approved AI coding assistants such as GitHub Copilot, Codex or comparable tools for implementation, refactoring, tests, code explanation, documentation and modernization analysis. Define team prompting patterns, repository-context practices and acceptance criteria for AI-generated code. Review generated code for architecture fit, correctness, security, performance, accessibility, licensing/provenance risk and maintainability. Require automated testing, static analysis, security scans and peer review before AI-generated changes are merged. Use AI-assisted analysis for legacy-code decomposition, dependency discovery, impact assessment, defect investigation and functional-parity planning. Mentor engineers on responsible use, data protection, hallucination detection and maintaining human ownership of technical decisions. Professional Capabilities Strong technical leadership, mentoring and cross-team influence. Ability to translate complex engineering issues for technical and nontechnical stakeholders. Equal opportunity employer as to all protected groups, including protected veterans and individuals with disabilities While an hourly range is posted for this position, an eventual hourly rate is determined by a comprehensive salary analysis which considers multiple factors including but not limited to: job-related knowledge, skills and qualifications, education and experience as compared to others in the organization doing substantially similar work, if applicable, and market and business considerations. Benefits offered include medical, dental and vision benefits; dependent care flexible spending account; 401(k) plan; voluntary life/short term disability/whole life/term life/accident and critical illness coverage; employee assistance program; sick leave in accordance with regulation. Benefits may be subject to generally applicable eligibility, waiting period, contribution, and other requirements and conditions. Benefits offered are in accordance with applicable federal, state, and local laws and subject to change at TCM's discretion.
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