Senior Systems Developer

Interpret

Senior Systems Developer at Interpret creating and managing SaaS tools and workflows for research. Building integrations and automations to enhance operational efficiency and effectiveness.

Posted 7/27/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $109,000 - $155,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and maintaining scalable systems, automations, and integrations that enhance operational efficiency and user experience. Proficient in utilizing AI-assisted development tools and managing sensitive data while ensuring compliance with privacy and security practices.

Highest-signal resume keywords

Systems DevelopmentSaaS ToolsAutomation EngineeringAPI IntegrationAI Coding Tools

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Automation EngineeringAPI IntegrationData HandlingVersion ControlMCP ServersAI Agent WorkflowsDashboard DevelopmentProduction Tool MaintenanceETL WorkflowsData Mapping

Soft Skills

Clear CommunicationStakeholder TrainingRisk ManagementProblem SolvingCollaboration

Tools & Technologies

CodexClaude CodeCursorGitHub CopilotLovableBase44SaaS PlatformsProject Management ToolsSurvey PlatformsCloud Services

Industry Keywords

Technical OperationsBusiness SystemsProduction ToolsParticipant-Facing SystemsOperational Visibility

Tech Stack

Tools & technologies

CloudETL

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

4 to 7+ years of relevant experience in systems development, SaaS tools, automation engineering, business systems, technical operations, software development, or a related field.
Demonstrated experience building and maintaining production tools, integrations, dashboards, automations, internal applications, or participant-facing systems.
Experience with APIs, authentication, data handling, SaaS platforms, databases, version control, and sensitive operational or participant data.
Direct MCP knowledge or hands-on experience with MCP servers and clients, AI agents, internal copilots, tool-calling workflows, or LLM-connected systems is strongly preferred.
Experience using AI coding tools or rapid application platforms such as Codex, Claude Code, Cursor, GitHub Copilot, Lovable, Base44, or similar tools.
Experience supporting QA, documentation, release readiness, stakeholder training, and ongoing product maintenance.
Bachelor's degree in a relevant field is preferred, but equivalent professional experience will be considered.
Must be authorized to work in the United States.

Benefits

Comp & perks

tiered performance bonus
health/dental/vision
401(k)
generous paid time off
physical & mental wellness program
paid parental/family leave
continuing education scholarship program