Forward Deployed Engineer

🕒 Julho 28

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $216.800 - $255.000 / ano

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

👷🏻‍♀️ Engenheiro

👻 Score fantasma 6%

infoinfo

🗣️🇺🇸🇬🇧 Inglês obrigatório

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Logo of Redpanda Data

Redpanda Data

51 - 200 funcionários

Fundada em 2019

🏢 Corporativo

☁️ SaaS

🤝 B2B

💰 $100.000.000 Series D - Redpanda Data em 2025-04

Enterprise • SaaS • B2B

A Redpanda Data é a empresa por trás do Redpanda, uma plataforma de dados de streaming de alto desempenho compatível com a API do Apache Kafka. O Redpanda oferece um mecanismo de streaming de mensagens de alta taxa de transferência e baixa latência em um único binário, além de soluções gerenciadas em nuvem, projetadas como um substituto direto para o Kafka para simplificar pipelines de dados em tempo real, aplicações orientadas por eventos, logs e métricas. A empresa foca em fornecer infraestrutura de streaming de nível empresarial para equipes de desenvolvimento e operações, por meio de software auto-gerido e serviços gerenciados SaaS/nuvem.

Descrição

• Build at the customer site. Write production-quality agents, integrations, and data pipelines on Redpanda ADP, inside the customer’s environment and codebase. What you ship has to work after you leave. • Work in unfamiliar territory, fast. Every customer engagement is a new codebase, a new data environment, a new set of constraints. Ramp quickly, orient to what exists, build on top of it without breaking it. • Own the technical deliverable. Understand what the engagement is supposed to produce, design the technical approach, build it, and hand it off clean — documented, maintainable, and running in production. • Be the Redpanda technical voice with the customer’s engineers. Work alongside their team daily. Earn their trust. Make sure the work integrates correctly with what they already have and what they’ll maintain after you leave. • Drive toward exit from day one. Build with handoff in mind. Write documentation that their team can actually use. Train them on what you built. Don’t create dependencies on you. • Feed learnings back. Identify patterns across engagements — what customers keep needing to build, where ADP makes things hard, what should be productized. Bring that back to Product and Engineering clearly.

🎯 Requisitos

• Engineering depth. You write production software. You’ve built backend systems, data pipelines, APIs, or agent systems that ran in production and had real consequences when they broke. Language background is flexible; what matters is that you build things that work. • Agent and integration experience. You’ve built agents, worked with LLM APIs, or built integrations between complex systems. You know what makes an agent reliable vs. brittle, and you’ve made that call in production. • Ability to operate in any environment. You’ve worked in someone else’s codebase, with constraints you didn’t set, in a stack you didn’t choose. You can read unfamiliar code, understand what it does, and extend it without breaking it. • Customer-facing communication. You can work directly with a customer’s engineering team — their leads, their architects, their individual contributors — and be a credible, trusted technical partner. You don’t need a PM to translate for you. • Shipped at a customer site or in a deployment context. You’ve personally been in the room when something hard went live. You know the difference between a demo and a production deployment.

🏖️ Benefícios

• Health insurance • Professional development opportunities

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