Senior Forward Deployed Engineer

🕒 Agosto 7

🌐 Estados Unidos, Canadá – Remoto

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💵 $152.000 - $246.000 / ano

⏰ Tempo Integral

🟠 Sênior

👷🏻‍♀️ Engenheiro

🦅 Patrocina Visto H1B

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👻 Score fantasma 9%

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🗣️🇺🇸🇬🇧 Inglês obrigatório

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Logo of Coder

Coder

11 - 50 funcionários

☁️ SaaS

🏢 Corporativo

🔐 Segurança

SaaS • Enterprise • Security

A Coder é uma empresa que fornece uma plataforma de ambiente de desenvolvimento em nuvem autogerido de código aberto. A plataforma permite que as organizações implementem ambientes de desenvolvimento em várias infraestruturas, como VMs, Kubernetes e serviços em nuvem, facilitando soluções de codificação seguras, rápidas e flexíveis. A Coder se concentra em aumentar a produtividade dos desenvolvedores, permitindo a rápida implementação de ambientes em nuvem totalmente configurados, otimizando o uso de recursos e simplificando as operações de codificação para desenvolvedores, engenheiros de dados e cientistas. Ela melhora a segurança e a privacidade dos ambientes de desenvolvimento, separando os ambientes de desktop, permitindo acesso seguro a terceiros e implementando protocolos de segurança de nível empresarial. A Coder é certificada SOC2 Tipo II e oferece uma experiência personalizável e escalável para empresas, com soluções de autogerenciamento e código aberto.

Descrição

• Serve as the primary technical authority for post-sales customers, guiding deployment architecture, environment design, and adoption of Coder across human and AI development workflows • Own onboarding engagements end to end, moving customers from contract to productive adoption • Lead Get Well engagements addressing architecture, rollout, or organizational issues affecting customer health or growth • Help customers implement technical and organizational changes for agentic development at scale • Design and document repeatable delivery patterns for onboarding, architecture, and adoption • Design and recommend reference architectures suited to customer cloud environments, security postures, and organizational constraints • Translate customer environment complexity into guidance on networking, ingress, identity, and infrastructure patterns • Anticipate technical and operational risks, escalate issues, and track them through resolution • Contribute to technical documentation, architecture guides, how-to resources, and statements of work • Capture structured product feedback and advocate with engineering and product teams for roadmap and usability improvements

🎯 Requisitos

• 5 or more years of experience in Forward Deployed Engineering, Solutions Architecture, Platform Engineering, or an equivalent post-sales technical role • Demonstrated experience guiding enterprise customers through complex technical deployments • Hands-on experience designing and deploying cloud infrastructure on AWS, Google Cloud, or Microsoft Azure • 2+ years of experience deploying or operating AI coding agents in production or near-production environments • Ability to explain workspace-local agent tooling versus centralized agentic harnesses to security or compliance stakeholders • 2 or more years of production Kubernetes experience, including cluster design, workload scheduling, networking, storage, and lifecycle operations • 2 or more years of experience with Terraform or equivalent infrastructure-as-code tooling • Solid Linux systems administration and cloud-native networking knowledge, including ingress controllers, proxies, load balancers, and DNS • Familiarity with CI/CD pipeline design and DevOps practices • Working knowledge of cloud security and identity, including IAM, network segmentation, secrets management, and compliance controls • Understanding of observability practices including logging, metrics, and tracing • Ability to design repeatable delivery patterns • Comfort supporting organizational and workflow change alongside technical change • Strong verbal and written communication skills • High customer empathy • Self-directed, analytical, autonomous, and comfortable in a startup environment

🏖️ Benefícios

• Equity • Bonus • Remote work arrangement • Transparent interview process intended to take two to four weeks, if schedules allow • Use of AI tooling permitted for take-home assessments

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