Forward Deployed Engineer

🕒 Maio 13

🌲 North Carolina – Remoto

🌲 North Carolina – Remote

💵 $150.000 - $175.000 / ano

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

👷🏻‍♀️ Engenheiro

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CData Software

SiteLinkedInTodas as Vagas

201 - 500 funcionários

☁️ SaaS

🏢 Corporativo

🔌 API

💰 $350.000.000 Private equity em 2024-07

SaaS • Enterprise • API

A CData Software é uma fornecedora de software de conectividade e integração de dados em nível empresarial que oferece acesso ao vivo, contextual e seguro a centenas de fontes de dados locais e em nuvem. Sua plataforma inclui drivers baseados em padrões (ODBC, JDBC, ADO. NET), conectores de linguagem (Python, Java), capacidade de servidor API, ferramentas de ETL/ELT e sincronização em tempo real, além de conectores embutidos para fornecedores de software. A CData também oferece conectividade nativa de IA e uma camada semântica para permitir que ferramentas e agentes de IA acessem dados governados e ricos em contexto em tempo real.

Descrição

• Embed with customer teams to deploy Connect AI, configure MCP servers, connect data sources, and validate agent workflows in production • Build and test AI agent integrations using Connect AI Workspaces and Toolkits with correctly scoped data access • Configure semantic context and governance layers for accurate, permission-aware agent responses across connected sources • Build and ship AI integrations • Write production code in Python, Java, or C# connecting customer systems to Connect AI via MCP, REST, OData, and CData drivers • Implement the integration patterns and security configurations defined with the engagement architect • Contribute to and reuse the FDE team's reference architectures, blueprints, and sample agents • Build and deliver iterative solutions on a multi sprint cadence with weekly customer demos, validation checkpoints, and AI workflow refinement • Own deployment health for your engagements, monitor MCP performance, troubleshoot agent accuracy, and ensure a smooth Customer Success handoff • Triage and resolve production issues with appropriate escalation to the architect or product team • Document product gaps and agent behavior patterns from the field; feed prioritized insights to the Connect AI product team • Capture reusable patterns from your engagements, code snippets, deployment recipes, and troubleshooting notes that compound across the FDE team

🎯 Requisitos

• 3–6 years in software engineering, data engineering, or technical consulting with hands-on delivery experience • Track record of shipping production code in customer-facing or customer-impacting roles • Has explained technical concepts to non-technical stakeholders and held the room • AI-literate — understands how LLMs consume data, what MCP does, and how agents use tools and context to reason over enterprise sources • Proficient in Python, Java, or C# with experience building API integrations, data pipelines, or connector-based workflows • Comfortable with data plumbing: SQL, REST APIs, ODBC/JDBC, JSON/XML parsing, and multi-source data mapping • Able to configure governed access for AI agents — RBAC, OAuth 2.1, and semantic scoping • Builder mentality — ships working solutions in ambiguous customer environments within tight iteration cycles • Strong communicator who can explain technical AI concepts to non-technical customer stakeholders clearly and confidently • High agency; comfortable as the primary engineering presence on a customer engagement

🏖️ Benefícios

• Medical, Dental, and Vision plans with company-paid insurance premiums • Health Saving Account offering with company contribution to help mitigate increasing health costs • Flexible Savings Account and Dependent Care FSA • Generous 20-day PTO and 11 paid holidays • 401k with 100% company match up to 6% of contribution • A remote-friendly, high-trust culture that empowers collaboration, celebrates curiosity, and encourages innovation • Work closely with your manager to define professional development and learning opportunities that match your career goals