Senior Systems Developer

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Interpret

WebsiteLinkedInAlle Stellen

51 - 200 Mitarbeiter

Gegründet 2006

💼 Beratung

🎮 Gaming

Consulting • Gaming

Interpret ist eine globale Verbrauchereinblick- und Marktforschungsfirma, die sich auf das Verständnis von "Menschen beim Spielen" spezialisiert hat. Sie positionieren sich als "Spaßwissenschaftler", die untersuchen, was zum Spielen motiviert, über Gaming, Streaming und Unterhaltung, soziale Medien, Spielzeuge, Sport, Verbrauchertechnologiegeräte, Live-Events, Restaurants und Reisen hinweg. Interpret bietet sowohl maßgeschneiderte als auch syndizierte Forschungsprodukte und -methoden an, führt spezialisierte Studien durch (z. B. Konzeptoptimierung, VR-Spielbewertung, Studien zu abgesprungenen Spielern, TV-Pilottests) und bedient große Kunden aus Spieleherstellern, sozialen Plattformen, Technologieunternehmen sowie Unterhaltungs- und Sportmedien. Sie verfügen über weltweite Büros und betonen Expertise über Märkte und Sprachgrenzen hinweg.

Beschreibung

• 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.

🎯 Anforderungen

• 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.

🏖️ Vorteile

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