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TTelnyx
Telnyx•CPaaS

Forward Deployed Engineer

DACH

Location

Munich, Bavaria, Germany

Work type

Hybrid

Employment

Full Time

Experience

3+ years

Compensation

Compensation not disclosed

Posted

2d ago

Summary and responsibilities

Role overview

Summary

This role involves embedding with enterprise customers in the DACH region to architect, build, and deploy production systems on Telnyx's global network, focusing on voice, messaging, AI, and wireless solutions. The Forward Deployed Engineer will lead technical discovery, design architecture, build POCs, and ensure production go-live, collaborating closely with an Enterprise Account Executive.

The Role We are establishing a local Enterprise Sales Pod in Munich consisting of one Account Executive (AE) and one Forward Deployed Engineer (FDE) to expand Telnyx across the DACH market. You will embed directly with enterprise customers to architect, build, and deploy production systems across Telnyx's global communications, networking, and AI infrastructure.

This role focuses on production outcomes rather than standard product demos. You will partner side-by-side with a dedicated Enterprise AE. The AE leads commercial qualification, executive alignment, and account growth; you own the technical lifecycle from discovery and architecture to proof-of-concept (POC) builds and production go-live.

What You Will Do

  • Embed with enterprise customers to analyze communications workflows, AI workloads, and architecture challenges.

  • Implement production solutions using Telnyx APIs (Voice, Messaging, Wireless), WebRTC, and AI Voice Assistants.

  • Deploy open-weight models via Telnyx Inference APIs or run self-hosted, air-gapped model stacks (Llama, Mistral, Aleph Alpha Luminous, sovereign EU models) when required by compliance or data localization mandates.

  • Deploy LiteLLM as an enterprise model gateway to manage routing, fallbacks, rate limiting, and virtual keys across multiple providers.

  • Implement governance, cost tracking, caching, guardrails, and LLM observability using tools such as OpenTelemetry or Langfuse.

  • Set up production-grade observability stacks (Prometheus, Grafana, OpenTelemetry, ELK) to monitor health, latency, traces, and alert routing.

  • Architect low-latency model routing strategies with robust fallback patterns for real-time voice applications.

  • Build domain-adapted prompt and RAG pipelines, including German-language evaluation harnesses compliant with GDPR, the EU AI Act, and German data localization requirements.

  • Drive technical POCs, pilots, and production handoffs, remaining engaged through post-launch stabilization.

  • Collaborate with internal Product and Engineering teams to feed regional requirements and customer feedback back into the roadmap.

  • Produce comprehensive documentation, deployment runbooks, and architectural diagrams.

What We Are Looking For

  • Degree in Computer Science or equivalent practical engineering experience.

  • 3+ years shipping production software with on-call operational experience and incident debugging.

  • Hands-on proficiency in Python, Node.js/TypeScript, or Go, with an understanding of serverless and event-driven runtimes.

  • Practical knowledge of model runtime limitations: concurrency failures, rate limits, token accounting, streaming, and retries.

  • Proven experience deploying containerized services on Kubernetes, managing secrets, configs, and rolling updates.

  • Demonstrated background instrumenting observability (Prometheus, Grafana, OpenTelemetry, ELK) and diagnosing root causes under incident pressure.

  • Solid understanding of distributed event-driven systems (Kafka, message queues), handling consumer lag, backpressure, and partition scaling.

  • Direct experience designing resilient REST/GraphQL APIs with authentication, rate limiting, and idempotency.

  • Exposure to real-time communications protocols such as SIP, WebRTC, or VoIP.

  • Strong technical autonomy and problem-solving skills in high-ambiguity enterprise settings.

  • Customer-facing engineering acumen, comfortable navigating technical deep dives with engineers and architectural reviews with executives.

  • Professional fluency in written and spoken English and German.

  • Based in Munich (or willing to relocate) with willingness to travel across Germany, Austria, and Switzerland.

  • Legal authorization to work in Germany (or eligibility for visa sponsorship).

Updated 2d ago

Candidate fit

Skills and qualifications

Additional skills

Python • 1+ yrs
Node.js/TypeScript • 1+ yrs
Kubernetes • 1+ yrs
Observability • 1+ yrs
Kafka • 1+ yrs
API Design • 1+ yrs
Customer-facing engineering • 1+ yrs
AI Voice Assistants • 1+ yrs

Experience

3+ years

How this role is positioned

Role classification

Job domains

Engineering

Industries

Telecom

Employment

Full Time

Contract duration

Permanent

Hiring type

Direct

Global hiring

Location specific

Offer details

Compensation and benefits

Compensation

Compensation not disclosed

VisibilityShared on listing
CurrencyUSD
PeriodYearly

Location, schedule, and role shape

Work setup

Work conditions

Primary locationMunich, Bavaria, Germany
Work typeHybrid
Global hiringNo

Bandwidth profile

peopleHigh • 8/10
physicalMedium • 5/10
cognitiveHigh • 9/10
executionHigh • 9/10
creativityHigh • 8/10
uncertaintyHigh • 8/10
communicationHigh • 9/10

Context on the employer

Company snapshot

Company

Telnyx

Team size

Growing team

Location

Munich, Bavaria, Germany

Telnyx is an industry leader that's not just imagining the future of global connectivity—we're building it. From architecting and amplifying the reach of a private, global, multi-cloud IP network, to bringing hyperlocal edge technology right to your fingertips through intuitive APIs, we're shaping a new era of seamless interconnection between people, devices, and applications. We're driven by a desire to transform and modernize what's antiquated, automate the manual, and solve real-world problems through innovative connectivity solutions.

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Forward Deployed Engineer

Munich, Bavaria, Germany • Full Time