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

Instaffo; Berlin; On-site; EUR 90,000 - 120,000; Full time

Job summary

MeinGPT sucht einen erfahrenen Platform Engineer (m/w/d) zur Gestaltung einer stabilen Backend-Infrastruktur. Du baust skalierbare Systeme, betreibst containerisierte Deployments und achtest auf Latenz, Kosten und Zuverlässigkeit.

Du arbeitest eng mit AI-Diensten, Datenströmen und Frontend-Teams; du bringst Architekturentscheidungen ein, misst Kennzahlen und verbesserst kontinuierlich das Platform-Tempo für Tausende Nutzer.

Qualifications

• 3+ Jahre TypeScript in Produktions-Backends, Fokus Backend, Frontend-Haltbarkeit.
• System-Design-Wissen: PostgreSQL, APIs, Queues, Caching – wann was einsetzen.
• Erfahrung mit containerisierten Deployments (Docker, Kubernetes) und operativen Praktiken.
• Fehlerursachen analysieren, Latenz/Kosten/Fehlerquoten verstehen und beheben.
• Daten fehlen? Selbst Instrumentierung hinzufügen.
• Enges Teilen von Kontext, Tradeoffs und offenen Fragen.
• Englisch fließend; Deutsch nicht erforderlich.

Responsibilities

• Architekturaufbau und Pflege der Plattform zur Unterstützung von AI-Services.
• Überwachung von Latenz, Kosten und Verfügbarkeit; proaktiv handeln.
• Koordination mit AI-Teams, Data-Streams und Frontend bei Bedarf.

Skills

TypeScript

Go

tRPC

PostgreSQL

Kubernetes

Docker

Tools

Cursor

Claude Code

CodeRabbit

Linear

GitLab

Notion

Job description

• Core: TypeScript, Go, tRPC, PostgreSQL, Kubernetes, Docker
• AI Services: OpenAI, Gemini, Claude, Mistral, Gladia

You are interested in the position as (Senior) Platform Engineer (f/m/d) at MeinGPT?

Requirements

Please note that this position requires work authorization for Germany.

Language: English - Fluent (C1)

• 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.
• English is enough – German is not required.

Activities

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.

Team

• 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

• Core: TypeScript, Go, tRPC, PostgreSQL, Kubernetes, Docker
• AI & Dev Tools: Cursor, Claude Code, CodeRabbit, Linear, GitLab, Notion
• AI Services: OpenAI, Gemini, Claude, Mistral, Gladia

About The Company

Unsere Mission mit MeinGPT ist es, KI in den Mittelpunkt des KMU-Sektors zu rücken. Wir entwickeln die zentrale Use-Case-Plattform, die leistungsstarke KI für alle zugänglich macht. Unsere größte Herausforderung: Eine so intuitive Benutzeroberfläche zu gestalten, dass jeder KI beherrschen kann und sie effektiv einsetzt. Anmerkung: Die SelectCode GmbH ist das Unternehmen hinter unserem Hauptprodukt MeinGPT.