• Analyze, support, and maintain enterprise business applications to ensure optimal performance and availability • Serve as the primary point of contact for assigned applications and business units • Troubleshoot and resolve application issues, system errors, and performance problems • Perform root cause analysis and implement corrective actions • Provide Tier II application support to end users • Coordinate with developers, infrastructure teams, and vendors to resolve complex technical issues • Monitor application health, availability, and performance using enterprise monitoring tools • Configure and maintain enterprise applications based on business requirements • Support application deployments, upgrades, patches, and enhancements • Participate in software implementation and system integration projects

• Design and maintain system architecture across application, data, and infrastructure layers • Ensure system scalability, reliability, and performance in a cloud-based (AWS) environment • Lead architectural decisions for DevSecOps pipelines and CI/CD integration • Support system integration across components (IWA, DoR, FDR) and external systems • Guide modernization efforts, including data migration and system transition activities • Ensure architecture supports automated testing, performance requirements, and security compliance • Maintain architecture documentation and ensure alignment with Government standards

• Design, build, and maintain internal and participant-facing tools, dashboards, portals, automations, and workflow systems that support recruiting, screening, fielding, project coordination, reporting, and operational visibility. • Translate research and business needs into clear requirements, prototypes, production-ready tools, and ongoing product improvements. • Replace manual work with scalable systems that improve speed, accuracy, consistency, data quality, and user experience. • Balance speed, quality, cost, supportability, and long-term maintainability when choosing SaaS-native automation, AI-assisted development, or custom development. • Build and govern AI agent workflows that help automate coding, research operations, task routing, data handling, documentation, and project coordination. • Design, configure, or evaluate MCP servers and clients that connect AI tools to approved APIs, SaaS systems, data resources, and internal workflows. • Use AI-assisted development platforms such as Codex, Claude Code, Cursor, GitHub Copilot, Lovable, Base44, or comparable tools while validating generated code, dependencies, architecture, and security assumptions. • Define practical guardrails for agent behavior, tool access, human approval points, logging, error handling, retries, rollback paths, and responsible use of sensitive data. • Build and support integrations across survey platforms, CRM systems, project management tools, reporting tools, databases, cloud services, and other business systems. • Work with REST APIs, webhooks, OAuth/OIDC, JSON payloads, schema validation, data mapping, sync jobs, ETL-style workflows, error handling, retries, and auditability. • Design data workflows that support cleaner handoffs, better reporting, fewer manual steps, clear data lineage, and secure access to operational and participant information. • Evaluate third-party SaaS tools, connectors, MCP servers, APIs, and automation platforms for fit, cost, permissions, reliability, and supportability. • Review, QA, refactor, and maintain production tools, including AI-generated code, before and after launch. • Use version control, centralized documentation, release notes, testing, monitoring, logging, and change tracking to keep systems reliable and understandable. • Apply practical privacy and security practices for PII and sensitive business data, including least privilege, permissions, credential handling, secure configuration, and data retention awareness. • Communicate status, risks, tradeoffs, training needs, and implementation decisions clearly to technical and non-technical stakeholders.

• Further develop our bare‑metal infrastructure with a focus on stability, performance, and scalability • Understand and make transparent how low‑level decisions impact the entire platform • Provide technical guidance and direction in collaboration with architects, product owners (POs), and infrastructure teams • Engage in high‑level technical discussions, share knowledge, and learn together