Description

This isn't just another backend role. As a Founding Engineer at GlassFlow, you'll be shaping the core technology, culture, and trajectory of the company. The code you write will power pipelines for billions of data events created by enterprises around the world. You'll be working in a fast, high-ownership environment where speed matters, curiosity is rewarded, and ambition is the norm.

Activities

• Build and scale high-performance, low-latency systems in GoLang.
• Take complete ownership of projects from idea to production.
• Ship fast, break things, learn, and ship again.
• Help define the technical culture of GlassFlow.
• Work directly with the founders to solve problems in a way that no one has solved before in real-time data infrastructure.

Requirements

You are:

• Deep expertise in Go.
• Hungry, competitive, and resilient.
• Someone with impressive achievements that prove you're a 10x builder.
• A fast learner who thrives in chaos.
• Hands-on, pragmatic, and deeply technical.
• Actively looking for startup culture.

Previous experience that could be helpful:

• Experience with public or private clouds (AWS / GCP / Azure)
• Experience with K8s, Docker, Docker Compose
• Experience developing on and using queue systems like Kafka, NATS, SQS, and RabbitMQ
• Worked in fast-growing environments or early-stage startups
• Openness to using AI tools in coding (e.g., Cursor) is considered a plus
• Ability to adapt quickly and make compromises in writing code when necessary

Team

What you'll get

• Real ownership: competitive equity (everyone at GlassFlow is an owner).
• The chance to build something that changes how the world streams data.
• The opportunity to build for global tech brands from day one.
• A career trajectory that will 10x your skills and network.

Benefits

• Competitive salary with Stock Option Grant
• Ticket for public transportation in Berlin
• Company credit card with a monthly allowance
• Newest tech of your choosing
• Annual Learning budget for personal development
• Generous WFH policy and a budget for home office setup
• JobAuto (after probation) - get an electric car abo with about 40% discount to private rates
• Anything missing? Let us know!

Application Process

1. Get2Know Call (45 minutes, video)
2. Technical task (around 3 hours, at home)
3. Technical Interview (60 minutes, video)
4. Leadership Call (with CEO & CTO, 30 minutes)

About the Company

At GlassFlow, we are committed to empowering data teams to create impactful use cases that drive real business value. We have noticed these teams often lack the right tools designed specifically for them. Whether it is building AI chatbots, dynamic pricing models, or real-time recommendations, data teams are frequently forced to rely on workarounds or build their own unscalable solutions. That is why we created GlassFlow-a data infrastructure platform built in the programming language data teams love: Python. Our solution allows them to focus on delivering results, not managing complex infrastructure. At GlassFlow, we aim to make infrastructure simple and accessible for Python developers, so they can concentrate on what truly matters-creating value.