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Forward Deployed Engineer

Parloa

Deutschland

Remote

EUR 70.000 - 100.000

Vollzeit

Vor 14 Tagen

Zusammenfassung

A leading AI technology company in Germany is seeking a Senior Forward Deployed Engineer to lead end-to-end deployment projects in complex environments. The role involves designing scalable solutions, mentoring junior engineers, and collaborating with enterprise teams to ensure successful outcomes. Ideal candidates will have strong technical skills in deployment engineering and experience with various modern technologies. This position offers the opportunity to make a significant impact on enterprise AI adoption.

Qualifikationen

  • Experience leading deployment engineering projects in complex environments.
  • Proficient in engineering scalable and resilient solutions.
  • Ability to debug issues under pressure and ensure customer success.

Aufgaben

  • Lead the technical execution of deployments in enterprise environments.
  • Design deployment solutions for performance, reliability, and security.
  • Build custom extensions and integrations to meet enterprise needs.
  • Collaborate with customer engineering organizations.
  • Mentor junior engineers and provide technical guidance.
  • Engage with senior stakeholders to ensure alignment.

Kenntnisse

Deployment engineering
Backend engineering
DevOps
Data engineering
Customer collaboration

Tools

Typescript
NodeJS
OpenAI
Microsoft Azure
Kubernetes
Docker
Terraform
MongoDB
MySQL
Redis
Kafka
Jobbeschreibung

Mission

As a Senior Forward Deployed Engineer (SFDE) at Parloa, you’ll be on the front lines of enterprise AI adoption — delivering cutting-edge technology into some of the most complex environments in the world.

Your mission: lead end-to-end deployment projects from an engineering perspective — not just implementing what exists, but engineering what’s required to make it succeed at enterprise scale.

FDEs are our in-field product engineers. You will build what doesn’t yet exist, adapt architecture to enterprise realities, and engineer integrations across systems and APIs to make deployments successful. Your work is hands-on and code-first — you’ll be building, debugging, and engineering solutions directly in the field. What you ship not only makes deployments succeed, it also defines how customers experience Parloa and shapes what our product becomes.

This is not about maintenance. This is about engineering what makes it work in production, under real-world enterprise constraints, at speed and scale.

What You’ll Do

  • Own deployment engineering projects: Lead the technical execution (including product engineering) of Parloa’s deployments inside large, complex enterprise environments

  • Design for scale and resilience: Architect deployment solutions that meet enterprise-grade requirements for performance, reliability, and security

  • Engineer solutions where none exist: Build custom extensions, integrations, and configurations to close product gaps and meet enterprise requirements

  • Work across systems & stacks: Operate at the intersection of backend engineering, DevOps, and data engineering to ensure seamless delivery

  • Partner with enterprise teams: Collaborate directly with customer engineering organizations to overcome constraints and deliver measurable outcomes

  • Guide and mentor others: Collaborate with and provide technical guidance to more junior in-field engineers

  • Influence at senior levels: Engage with enterprise architects and senior technical stakeholders, discussing solutions and architectures in depth to ensure alignment and credibility

  • Debug under pressure: Rapidly unblock issues in mission-critical environments and ensure customer success

  • Shape the product: Act as the feedback loop between the field and our core engineering teams — turning deployment learnings into platform evolution

  • Deliver long-term impact: Ensure what you build is sustainable, extensible, and adds value beyond individual deployments

Our Technology Stack: Typescript, NodeJS, OpenAI, Microsoft Azure, Kubernetes, Docker, Terraform, MongoDB, MySQL, Redis, Kafka, MCP

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