Founding Forward Deployed Engineer: AI Infra & Production

Dex

United States

On-site

USD 150,000 - 210,000

Full time

3 days ago
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Job summary

Dex is representing a founding Forward Deployed Engineer role working with a partner company to enable PoCs and drive production-ready adoption. The role combines deep hands-on engineering with strategic product feedback, across Kubernetes, cloud environments, and observability.

You will position the product in front of sophisticated customer engineers and help shape adoption in critical environments. Ideal candidates are fluent in Go or Rust and one of TypeScript, Java, or Python, with strong

Qualifications

  • Proficiency in Go or Rust and at least one of TypeScript, Java, or Python.
  • Strong Kubernetes skills and hands-on experience with cloud providers (AWS, GCP, Azure).
  • Experience designing/operating distributed backend systems in production.

Responsibilities

  • Own the technical path from PoV/PoC to production readiness and deployment.
  • Collaborate with customer engineers and OSS evaluators on integrations and reference implementations.
  • Drive transition from PoC to production-ready deployments including Kubernetes, cloud setup, observability, security, and networking.
  • Support discovery workshops, POV planning, and on-call rotations for critical issues.
  • Provide product feedback through docs, examples, SDKs, and core product improvements.

Skills

Go or Rust
TypeScript/Java/Python
Kubernetes
Observability
Distributed systems
Customer facing

Tools

Kubernetes tooling
Observability tooling
Cloud platforms (AWS/GCP/Azure)
CI/CD pipelines

Job description

Dex is representing a founding Forward Deployed Engineer role working with a partner company to enable PoCs and drive production-ready adoption. The role combines deep hands-on engineering with strategic product feedback, across Kubernetes, cloud environments, and observability.

You will position the product in front of sophisticated customer engineers and help shape adoption in critical environments. Ideal candidates are fluent in Go or Rust and one of TypeScript, Java, or Python, with strong

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