L

Langdock

Model-agnostic enterprise AI platform

Forward Deployed Infrastructure Engineer

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timeBerlin, Germany

About the Job

Requirements

  • Strong hands-on cloud engineering experience, ideally across more than one major provider (AWS, Azure, or GCP), including production deployments and operating systems reliably in complex enterprise environments; infrastructure as code is expected as a core skill.
  • Comfort working directly with customers, explaining security architecture, managing deployment reviews with IT teams, and representing the company to C-level stakeholders.
  • Ability to take ownership and independently improve deployment setup, monitoring, documentation, and security posture.
  • Fluency in German (C1+ or native) and English.

Responsibilities

  • Deploy the platform across customer cloud environments, including AWS, Azure, GCP, and OpenShift, using infrastructure as code.
  • Explain the platform architecture and build trust with technical and C-level stakeholders in customer meetings.
  • Guide customers through the deployment process and serve as their primary point of contact throughout.
  • Adapt and extend infrastructure code to meet customer-specific requirements.
  • Serve as the primary technical contact for customer IT, security, networking, and compliance teams.
  • Translate customer requirements, including compliance constraints and networking specifics, into working infrastructure and platform changes.
  • Connect customer environments and applications to the platform, including networking, access, integrations, and other deployment requirements.
  • Communicate proactively across diverse stakeholder groups.
  • Coordinate and perform regular version upgrades with customers.
  • Build and maintain monitoring and alerting for dedicated deployments, for example using Datadog.
  • Participate in the on-call rotation to keep customer platforms running reliably.
  • Drive cost monitoring and efficiency improvements across technology stacks.
  • Reproduce and support resolution of bugs related to single-tenant deployments.
  • Standardize and professionalize the deployment setup so it scales across a growing customer base.
  • Build and maintain CI/CD pipelines and tests to maintain infrastructure code quality.
  • Contribute to product improvements where infrastructure and application meet, including managed identities and access control.
  • Build self-service customer documentation based on customer feedback.

Desired Qualifications

  • Experience with OpenShift or on-premises deployments.
  • Prior work in a security- or compliance-heavy environment.
  • Early-stage startup experience building systems that scale from scratch.

About the Company

Langdock

Model-agnostic enterprise AI platform

Langdock provides an enterprise AI platform that lets companies securely access and deploy multiple language models from providers like OpenAI, Anthropic, Google, and Meta, avoiding vendor lock-in. It uses a model-agnostic application layer with features such as an employee chat interface, customizable AI assistants, enterprise search, and a unified API, plus support for multi-step workflows and integrations with tools like Slack, Google Drive, and Confluence. Unlike platforms tied to a single provider, Langdock emphasizes governance and security with GDPR compliance, ISO 27001, SOC 2 Type II, and EU data hosting. Its goal is to help organizations adopt AI tools productively while maintaining data security and regulatory compliance.

Company size
51-200
Company stage
Seed
Total funding
$3.1M
Headquarters
Berlin, Germany
Founded
2023

Recently Posted Jobs

Explore more opportunities at Langdock

See more jobs