At Metropolis, we're revolutionizing parking with cutting-edge computer vision, powered by a massive network of edge devices. But how do you monitor the health and performance of over 10,000 devices generating a billion log events weekly?

We built a serverless data pipeline using AWS and Snowflake that processes data with just a 15-minute end-to-end speed! Discover how our innovative Medallion Architecture and micro-batch approach deliver critical insights, ensuring seamless customer experiences and proactive issue resolution.

AI-powered test generation: hype or reality? Metropolis shares their journey building a multi-agent system for E2E tests, revealing surprising challenges and crucial lessons learned. Dive into their experience and discover why human calibration is still key in the quest for autonomous development workflows.

Meet five of the talented individuals behind Metropolis: Ian Tabolt, Valerie Slepak, Kaleb Loo, Anusha Sowdhari, and Prem Kurumpanai. This blog post will introduce you to these key members of our product and engineering teams, offering a glimpse into their roles, what inspires them, and their experiences working on some of our most impactful projects. Read on to discover what makes our team tick and how their dedication has helped shape Metropolis into what it is today.

At Metropolis, we believe in fostering a culture of continuous growth and development. We know that top talent wants to understand their career trajectory, and that's why we've developed a clear, rigorous career leveling system for all our engineering roles. Our system is designed to provide a transparent framework for what's expected at each level and to guide meaningful conversations about career progression with your manager.

AI is a powerful tool that's becoming an integral part of our daily lives, and the world of work is no exception. At Metropolis, we leverage AI to make our hiring process more efficient and effective, helping us find the best talent. We also want to be transparent about how we use it and what we expect from candidates.