You'll work side-by-side with the CTO in our Zurich office, helping to scale our platform, mentor the team, and ship features that directly impact our users.

What You'll Do

Technical Leadership & Code Quality

• Lead code reviews across the engineering team, ensuring high standards for quality, security, and maintainability
• Establish and evolve coding standards, best practices, and architectural patterns
• Mentor engineers and provide technical guidance on complex implementation challenges

Project Management & Delivery

• Drive engineering projects from planning through delivery, coordinating across team members and stakeholders
• Break down complex initiatives into actionable milestones and keep work on track
• Identify risks early and proactively communicate status and blockers

Process Improvement

• Continuously evaluate and improve our development workflows, CI/CD pipelines, and team processes
• Leverage AI tools to accelerate development cycles and automate repetitive tasks
• Build a culture of iteration, measurement, and continuous improvement

AI/ML Infrastructure Support

• Partner with AI/ML engineers to build and scale model training and inference pipelines
• Design and maintain data pipelines for preprocessing, labeling automation, and model integration
• Optimize compute and storage architecture for efficient training and deployment

Infrastructure Management

• Drive proactive capacity planning and long-term infrastructure improvements
• Ensure reliability, scalability, and cost-efficiency across our AWS environment

What We're Looking For

Backend & Cloud Expertise

• 6+ years of hands-on backend development experience, with deep proficiency in AWS services (EC2, Lambda, S3, ECS, RDS, DynamoDB, SQS, and more)
• Strong command of Node.js and Python for production systems; ideally familiarity with C/C++ or Rust for performance-critical components
• Expert-level SQL skills with experience in both relational databases (PostgreSQL) and NoSQL solutions (DynamoDB, Redis), including performance optimization and scaling strategies

AI/ML Experience

• 2+ years of hands-on ML/AI experience, ideally in computer vision (image/video classification, object detection) and transformer architectures
• Familiarity with LLMs, vLLMs, multimodal ML systems; bonus points for fine-tuning experience
• Comfortable building and maintaining ML pipelines for training, evaluation, and production deployment

Full-Stack Capability

• Experience building web and app based frontends, you can prototype a UI when needed and collaborate effectively with frontend engineers
• Proficiency with modern development tools, including Claude Code and AI-assisted coding workflows

Mindset & Working Style

• Genuinely curious about how systems work under the hood, you dig into problems until you understand them
• Comfortable context-switching between strategic discussions and tactical implementation
• Thrive in fast-moving environments where ownership, autonomy, and impact are the norm

Why Join Coverstar?

• Mission that matters: Help build a platform that genuinely protects kids while empowering their creativity
• High ownership: Shape not just the product but also our engineering culture and processes
• Small, elite team: Work as part of a "special forces" engineering group where every contribution is visible and valued
• Direct CTO collaboration: Learn and grow while working closely with technical leadership
• Zurich office: Beautiful location, great work environment, and the chance to build something meaningful