About Us
At Hayden AI, we are on a mission to harness the power of computer vision to transform the way transit systems and other government agencies address real-world challenges.
From bus lane and bus stop enforcement to transportation optimization technologies and beyond, our innovative mobile perception system empowers our clients to accelerate transit, enhance street safety, and drive toward a sustainable future.
About the Role
The Infrastructure Engineering team is crucial to the overall success of Hayden products: We own all the underlying fabric that connects thousands of devices deployed in the field with large-scale, multi-region cloud services and applications that interact with the data we collect from those devices. If you are a true force multiplier, you will feel right at home in our team!
Responsibilities:
- Architect the Service Backbone: Lead the design and evolution of the core services architecture, providing a robust, high-availability backbone utilized by all cloud services and engineering teams.
- Drive Technical Roadmap: Define the long-term technical strategy and architectural vision for cloud services, ensuring alignment with future business growth and technological shifts.
- Strategic Decision Making: Spearhead critical architectural decisions, perform deep-dive code reviews, and evaluate technical trade-offs to ensure a sustainable and scalable service ecosystem.
- Scale Multi-Region Cloud: Design and manage globally distributed, multi-region cloud deployments using advanced Infrastructure as Code (IaC) to ensure seamless scalability and performance.
- Automate Everything: Leverage automation and modern orchestration tools to reduce manual overhead, enabling a self-service infrastructure model that empowers developers to ship code faster and more safely.[1]
- Optimize Performance & Cost: Lead initiatives to continuously tune infrastructure for peak performance, maximum reliability, and cost-efficiency across cloud environments.
- Uphold Engineering Standards: Establish and enforce elite software engineering and DevOps standards, including rigorous practices for monitoring, observability, and blameless post-mortems.
- Raise the bar for incident prevention and response by modeling best practices in site reliability, proactive system hardening, and rapid remediation.