Darum lohnt es sich
Job Responsibilities
• Build and scale high-performance, low-latency systems in Python
• Take complete ownership of projects from idea to production
• Ship quickly, learn from outcomes, and iterate
• Help define GlassFlow’s technical culture
• Work directly with the founders to solve novel technical problems
• Build technology powering AI agents and billions of data events worldwide
Requirements
• Deep expertise in Python
• Impressive achievements demonstrating exceptional building ability
• Fast learner who thrives in chaos
• Hands-on, pragmatic, and deeply technical
• Actively looking for startup culture
• Experience with public or private clouds (AWS / GCP / Azure) could be helpful
• Experience with K8s, Docker, Docker Compose could be helpful
• Experience in fast-growing environments or early-stage startups could be helpful
• Openness to using AI tools in coding (e.g., Claude) is considered a plus
• Ability to adapt quickly and make compromises in writing code when necessary
• Able to work in a fast-paced, high-ownership environment and handle pressure
Core Competencies
Demonstrates deep expertise in Python and the ability to build and scale high-performance systems.
Thrives in fast-paced, high-ownership environments, adapting quickly to challenges and leveraging AI tools in development.
Highest-signal resume keywords
• Deep Expertise In Python
• Experience With AWS
• Experience With GCP
• Experience With Azure
• Experience With K8s
Hard Skills
• High-Performance System Development
• Low-Latency System Design
• AI Tool Utilization
• Cloud Computing
• Docker
• Docker Compose
Soft Skills
• Fast Learner
• Pragmatic Problem Solving
• Ability To Thrive In Chaos
• Adaptability
Industry Keywords
• Startup Culture
• Fast-Growing Environments
• Technical Culture
Tools & Technologies
• Kubernetes
• AI Agents
