Redpanda
Forward Deployed Engineer, Networking
Redpanda
$255k
United States, Canada, United Kingdom

Forward Deployed Engineer, Networking

Overview

Redpanda is pioneering the Agentic Data Plane (ADP) - a new category in AI infrastructure that makes it simple and secure to connect AI agents with enterprise data and systems.

Job Description

Redpanda is building the Agentic Data Platform (ADP) β€” the streaming and data infrastructure the world's largest enterprises run mission-critical agents on. Field Deployed Engineering (FDE) is the delivery arm. We embed engineers directly with strategic customers and build the agents and integrations that turn ADP into owned outcomes.

Responsibilities

  • - Own the deployment topology of major enterprise engagements.
  • - For each customer, design and lock the network architecture: VPC layout, ingress/egress, private connectivity, DNS, identity-aware proxying, public-SaaS-to-private-VPC bridges.
  • - Document it so it survives handoff.
  • - Translate customer constraints into a workable architecture.
  • - Herd customer-side teams.
  • - Build the integrations that bridge the gap.
  • - Build alongside world-class Redpanda engineers to help shape ADP itself.
  • - Be the topology authority across the FDE function.
  • - Build reusable patterns from each engagement so the second customer with the same shape doesn't re-litigate it.

Required Skills

  • - Production networking depth.
  • - Strong scripting / backend skills (Go, Python, TypeScript) and comfort with infrastructure-as-code (Terraform, Pulumi, CDK).
  • - SaaS-to-private-network integration patterns.
  • - Customer-facing communication.
  • - Patience for cross-team work.

Benefits

  • - Join a fast-moving, diverse, people-first organization.
  • - Work with the latest AI tools and have the budget to use them.

About the company

The Kafka-compatible streaming data platform built for data-intensive applications. Connect anything with 260 connectors, process in real time with built-in transformations, and optimize costs with tiered storage.


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