Enterprise Deployments Engineer - m/f/d

Posted 14 Days Ago
Be an Early Applicant
Berlin, DEU
In-Office
Senior level
Artificial Intelligence • Information Technology • Software • Generative AI
The Role
Deploy, operate, and scale the Langdock enterprise AI platform across customer cloud environments. Own end-to-end deployments using infrastructure-as-code, run deployment operations and on-call support, build CI/CD and monitoring (e.g., Datadog), translate customer compliance and networking requirements into infrastructure, and drive platform standardization and automation. Serve as primary technical contact for customers, including C-level stakeholders.
Summary Generated by Built In
Help Us Change the Way the World Works

Build something that matters.

Langdock exists to change the way the world works, bridging the gap between what technology can do and what people actually do with it. We bring all leading AI models into one secure, model-agnostic platform and make them usable across entire organizations. Over 10,000 companies use our platform every day, from fast-growing startups to some of Europe's largest enterprises. Their employees open Langdock to draft strategies, analyze documents, or automate workflows - helping them to work smarter, think more creatively, and reach their full potential.

About the Role

AI is the biggest transformation of our lifetime. Most companies know they need to move. Few know how. This is where you come in.

As an Enterprise Deployments Engineer at Langdock, you own the infrastructure that powers our enterprise AI platform across dozens of customer cloud environments. You build the systems that make deploying, monitoring, and operating Langdock scalable, turning what today takes weeks into a repeatable, automated process that works across AWS, Azure, GCP, and self-hosted cloud configurations.

This is not a back-office infrastructure role. Customer-facing work is a core part of what you do. You work directly with IT, security, networking, and compliance teams at some of Europe's largest enterprises, translating their requirements into working infrastructure and navigating their approval processes to move deployments forward. You bring the technical depth to earn trust at the C-level and the clarity to make complex architecture decisions legible to any stakeholder in the room.

You take ownership of the deployment process end to end: from writing the infrastructure code that gets new customers live, to keeping existing deployments running reliably, to driving the initiatives that make our setup scale. You don't wait to be told what needs improving. You see it, you build it, and you ship it.

Based full-time at our Berlin headquarters, you will be a critical technical voice for the team and the first point of contact for any infrastructure and platform questions from colleagues and customers alike.

You are fluent in German (C1+ or native) and English.

What You Will DoDeployment of the Langdock Platform
  • Deploy the Langdock platform across customer cloud environments (AWS, Azure, GCP, OpenShift, and others) using infrastructure-as-code

  • Explain the Langdock architecture and build trust with technical and C-level stakeholders in customer meetings

  • Guide customers through the entire deployment process and act as their primary point of contact throughout

  • Adapt and extend infrastructure code to meet each customer's specific requirements

Customer Communication & Requirements
  • Serve as the primary technical contact for customer IT, security, networking, and compliance teams

  • Translate customer requirements (from compliance constraints to networking specifics) into working infrastructure and platform changes

  • Connect customer environments and applications to the platform: networking, access, integrations, and everything required to get a deployment live

  • Communicate clearly and proactively across diverse stakeholder groups. This is a central part of the role, not a side responsibility.

Deployment Operations
  • Coordinate and perform regular version upgrades together with our customers

  • Build and maintain monitoring and alerting for dedicated deployments (e.g. using Datadog)

  • Participate in on-call rotation to keep customer platforms running reliably at all times

  • Drive cost monitoring and efficiency improvements across stacks

  • Reproduce and support resolution of bugs related to single-tenant deployments

Platform Engineering & Scale
  • Professionalize and standardize the deployment setup so it scales across a growing customer base

  • Build and maintain CI/CD pipelines and tests to keep infrastructure code high quality

  • Contribute to the product where infrastructure and application meet: from switching to managed identities to improving access control

  • Build self-serve documentation for customers based on their feedback

You Might Be a Fit If…
  • You have strong, hands-on cloud engineering experience, ideally across more than one major provider (AWS, Azure, GCP). You have deployed real systems into production and you know what it takes to keep them running reliably in complex enterprise environments. Infrastructure-as-code is second nature to you, not something you reach for when you have to.

  • You are comfortable in customer-facing situations. You can walk a CISO through a security architecture, manage a deployment review with a skeptical IT team, and represent Langdock credibly at the C-level, all in the same week. You don't wait for someone else to take the lead in these conversations.

  • You take ownership. You see what needs to be improved in the deployment setup, the monitoring stack, the documentation, or the security posture, and you make it happen without being asked. You treat every deployment as a chance to make the next one better.

  • You are fluent in German (C1+ or native) and English. A significant share of our enterprise customer communication happens in German.

  • You are a kind person who cares about the people around you.

Bonus: experience with OpenShift or on-premises deployments, prior work in a security or compliance-heavy environment, or early-stage startup experience where you had to build things that scale from scratch.

The Environment

We work from our office in Berlin, Greifswalder Strasse 212. Everyone works together in person because the hardest problems get solved faster at a whiteboard than in a Slack thread. Conversations happen faster, problems get solved quicker, and we actually know each other.

Days start at 8:30. Lunch & dinner are together. We run, go to the gym, and take care of ourselves. Health is not separate from work here, it is part of how we work well.

The vibe is calm but intense. No one is yelling or panicking. But everyone is working hard on things that matter.

Compensation

Salaries are transparent and tied to levels, not negotiation. All roles include equity.

We will figure out the right level together based on your experience and scope. Levels are about the work you own, not your title or years of experience. We narrow down the expected salary range early in the process.

Next steps

We move fast. Most processes complete within two weeks.

If this sounds like your kind of work, we would like to meet you.

Skills Required

  • Fluent in German (C1+ or native) and English
  • 100% on-site work in Berlin (Greifswalder Strasse 212)
  • Hands-on cloud engineering experience across multiple providers (AWS, Azure, GCP)
  • Proven experience deploying systems into production in enterprise environments
  • Experience with infrastructure-as-code
  • Customer-facing experience, able to engage IT, security, networking teams and C-level stakeholders
  • Experience building and maintaining CI/CD pipelines and infrastructure tests
  • Willingness to participate in on-call rotation
  • Experience with OpenShift or on-premises deployments
  • Experience in security- or compliance-heavy environments
  • Early-stage startup experience building scalable systems from scratch
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The Company
HQ: Berlin
27 Employees
Year Founded: 2023

What We Do

We are building a secure and flexible ChatGPT-like application for businesses to drive GenAI adoption within their organizations. Our customers include enterprises like Merck KGaA, SMBs like Lavera, and scale-ups like GetYourGuide, Personio, and Babbel.

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