
Senior Systems Developer
Posted Jul 27

Posted Jul 27
This is a fully remote position, open to applicants in United States.
• Develop, construct, and sustain both internal and participant-facing tools, dashboards, portals, automations, and workflow systems that facilitate recruiting, screening, fielding, project coordination, reporting, and operational visibility.
• Convert research and business requirements into well-defined specifications, prototypes, production-ready tools, and continuous product enhancements.
• Substitute manual tasks with scalable systems that enhance speed, accuracy, consistency, data quality, and user experience.
• Weigh speed, quality, cost, supportability, and long-term maintainability when selecting SaaS-native automation, AI-assisted development, or custom development solutions.
• Create and manage AI agent workflows that assist in automating coding, research operations, task routing, data management, documentation, and project coordination.
• Design, configure, or assess MCP servers and clients that link AI tools to approved APIs, SaaS systems, data resources, and internal workflows.
• Utilize AI-assisted development platforms like Codex, Claude Code, Cursor, GitHub Copilot, Lovable, Base44, or similar tools while validating generated code, dependencies, architecture, and security assumptions.
• Establish practical guidelines for agent behavior, tool access, human approval points, logging, error handling, retries, rollback procedures, and responsible management of sensitive data.
• Develop and maintain 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, synchronization jobs, ETL-style workflows, error handling, retries, and auditability.
• Design data workflows that promote smoother transitions, improved reporting, reduced manual processes, clear data lineage, and secure access to operational and participant information.
• Assess third-party SaaS tools, connectors, MCP servers, APIs, and automation platforms for compatibility, cost, permissions, reliability, and supportability.
• Review, conduct quality assurance, refactor, and maintain production tools, including AI-generated code, both prior to and following launch.
• Implement version control, centralized documentation, release notes, testing, monitoring, logging, and change tracking to ensure system reliability and clarity.
• Employ effective privacy and security measures for PII and sensitive business data, such as least privilege, permissions, credential management, secure configuration, and awareness of data retention.
• Clearly communicate status, risks, trade-offs, training requirements, and implementation decisions to both technical and non-technical stakeholders.
• 4 to 7+ years of pertinent experience in systems development, SaaS tools, automation engineering, business systems, technical operations, software development, or a related area.
• Proven experience in building and maintaining production tools, integrations, dashboards, automations, internal applications, or participant-facing systems.
• Familiarity with APIs, authentication, data handling, SaaS platforms, databases, version control, and sensitive operational or participant data.
• Direct MCP knowledge or practical experience with MCP servers and clients, AI agents, internal copilots, tool-calling workflows, or LLM-connected systems is highly preferred.
• Experience utilizing AI coding tools or rapid application platforms such as Codex, Claude Code, Cursor, GitHub Copilot, Lovable, Base44, or comparable tools.
• Proficient in supporting QA, documentation, release preparedness, stakeholder training, and ongoing product maintenance.
• A bachelor's degree in a relevant field is preferred, although equivalent professional experience will be taken into consideration.
• Must possess authorization to work in the United States.
• Tiered performance bonus
• Health/dental/vision coverage
• 401(k) plan
• Generous paid time off
• Physical & mental wellness program
• Paid parental/family leave
• Continuing education scholarship program
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