DevOps Engineer

Department: Engineering

Location: Munich

Employment Type: FullTime

DevOps Engineer (Pipeline Design & Deployment Automation)

Full-time | Munich | Seed Stage | Equity + Salary

Help Build a Generational Company

At Knowlix, we’re on a mission to 10x small businesses' productivity. We strive to become the dominant small business platform for human-AI and AI-to-AI collaboration.

We’re still early, but we’re thinking big. This is your opportunity to help shape a product that serves millions and defines a category.

We move fast, ship often, and obsess over quality. If you burn to build, ship, and scale - and you love using AI to make things radically better - this is your seat at the table.

Why Knowlix, Why Now

• We're a well-funded seed-stage startup, backed by top-tier investors and experienced founders

• Our tech works - and first users are already feeling the first magic

• We're going after a massive market, with a product that changes how people work

• You’ll be joining as one of the earliest team members - with real influence and ownership over the trajectory of the company

• We believe speed is a function of focus + iteration

This isn’t a job. It’s a chance to help build a once-in-a-generation company if we do things right.

The Role

You’ll architect, maintain, and optimize our DevOps pipelines using Bitbucket Pipelines and AWS CodePipeline, CodeBuild, and CodeArtifact. You will design modular pipeline-as-code workflows with reusable YAML configurations and implement advanced deployment strategies like canary and blue-green deployments. Working closely with product and engineering, you’ll enable progressive delivery via feature toggles and automated rollback triggers.

What You Bring (Requirements)

• 5+ years of hands-on experience with Bitbucket Pipelines and DevOps in AWS

• Proficiency in scripting languages like Python and Bash

• Experience with Infrastructure as Code (Terraform or AWS CDK) and Docker

• Familiarity with feature flagging, observability stacks, and secure SDLC practices

• Bonus: Exposure to AI/ML deployment patterns or regulated environments

You’ll Thrive Here If You… (Preferred)

• Have built scalable, modular pipeline-as-code workflows

• Are passionate about deployment strategies that reduce risk and improve delivery speed

• Understand metrics-driven monitoring and automation of rollback procedures

• Care deeply about developer experience and shortening feedback loops

What You’ll Get

• A path-defining role in a high-upside company backed by world-class investors

• Deep ownership and equity

• A team that cares deeply about what we’re building and the people we build it with

• A rare chance to leave your mark on something that has the opportunity to become generational