(Senior) Platform Engineer (f/m/d)

meinGPT; München; Hybrid; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Hybrid work

Job summary

MeinGPT is building a data-intensive platform that scales to thousands of users and terabytes of data. We seek a Platform Engineer who owns backend systems, designs scalable architectures, and collaborates across teams to ensure reliability under heavy load.

You'll work with TypeScript, Docker, Kubernetes, PostgreSQL, and APIs, optimize latency and costs, instrument systems, and contribute to strong engineering culture with minimal meetings. Hybrid work in Munich.

Qualifications

• 3+ years TypeScript in production backend systems.
• Strong system design knowledge: PostgreSQL, APIs, queues, caching.
• Experience with containerized deployments (Docker, Kubernetes) and operational practices.
• Root-cause analysis of latency, cost spikes, or error trends.
• Instrument missing data to support well-founded decisions.
• Share knowledge to elevate engineers around you.

Responsibilities

• Architect and implement scalable backend services for MeinGPT platform.
• Own reliability, performance, and security under heavy load.
• Collaborate with data teams and product to align on architecture.
• Monitor latency, costs, and errors; drive root-cause fixes.
• Instrument systems and improve observability for decision making.

Skills

TypeScript

Backend systems

Frontend familiarity

System design

PostgreSQL

APIs

Queues

Caching

Docker

Kubernetes

Job description

Our mission with MeinGPT: be the AI use case platform for the Mittelstand - the system that gets companies from their first AI experiment to AI running in their core processes.

MeinGPT already serves 50,000+ users from 500+ companies. What comes next isn't just more users. It's more depth: AI that connects to real data, real systems, and real workflows. That demands an architecture that doesn't get in the way. Platform Engineers build the foundation that makes it all possible - reliably, securely, and at any scale.

Your Mission

AI products integrate, move, and process more data per user action than most SaaS: external sources synced continuously, context assembled in real time from multiple systems, streaming responses held coherent across distributed services, LLM requests routed with fallback and cost logic across providers. Getting this right, under real load, for real customers, is an architecture problem. Platform Engineers build and own that foundation.

The work is proactive: you read the system's signals (latency distributions, cost curves, error rates) and act before they become user problems. The goal isn't to keep pace with growth. It's to build a platform that's more capable and more reliable at 100,000 users than it is today.

What We Are Looking For

• 3+ years TypeScript in production backend systems - your focus is clearly on the backend, but you're comfortable in the frontend too and can jump in when needed
• You think about systems under sustained load: how they degrade, what breaks first at 2x traffic, where the cost curve goes - and you design for that, not just for today's requirements.
• Strong system design knowledge: PostgreSQL, APIs, queues, caching. You know when to use what and why.
• Experience with containerized deployments (Docker, Kubernetes) and the operational practices that come with them.
• When you see a latency pattern, cost spike, or error rate trend, you track it to its root and fix it properly - not apply a patch and call it a day.
• When data is missing for well-founded decisions, you add the instrumentation yourself.
• You share what you know (context, tradeoffs, open questions) and make the engineers around you better at their work.

What's In It For You

• Shape the technical foundation of a platform that's actively scaling: your architectural decisions outlast any single feature.
• Work in a novel, data-intensive field with interesting scaling challenges: making terabytes of data available to AI on-demand, providing compute infrastructure for AI agents at scale, and making MeinGPT a flexible platform to build AI applications on.
• Flexible working hours with the option to work from home 2 days per week.

How We Work

• We use AI tools (Cursor, Claude Code etc.) daily to move faster, but you stay in control and responsible for your code.
• Meetings are kept minimal to protect deep work time.
• Healthy Ambition: big goals, sustainable pace, people who actually like working here.
• Fast Delivery, Close to the User: we ship fast, stay close to our customers, and let direct feedback drive next steps.

Our stack

• AI & Dev Tools: Cursor, Claude Code, CodeRabbit, Linear, GitLab, Notion

Next Steps

• Intro Call (30 min): A short chat about your motivation and our mutual expectations.
• Technical Interview (Remote, 90 min): A live coding session to showcase your skills.
• Founders Interview (On-site, 90 min): Meet the founders at our office and discuss your experience and ambitions.
• Offer: If it's a great fit for both sides, we'll make you an offer.