Site Reliability Engineer, Spot AI

• If you wake up driven to build, see challenges as fuel, and refuse to settle for the status quo—you’ll fit right in
• At Spot AI, we’re not just building a company; we’re building a legacy that will outlast us. Every Spotan shares a relentless pursuit of excellence, and we’re looking for more teammates with the same high-performance DNA:
• Relentless Drive: You have something to prove. Extreme ambition fuels you, and obstacles only make you push harder. Building isn’t just what you do; it’s who you are
• Builder’s Mentality: You don’t just want to scale what exists—you want to create what’s next. Maybe you’ve founded a company, been a first 20 employee, or led a venture for 2+ years—if so, we’re especially excited to meet you
• High Hustle, High Humility: You bring intellect, emotional intelligence, and an unyielding work ethic. You’re low ego, high impact, and always pushing to be among the best at what you do
• If this sounds like you, let’s build something legendary together.
• You’re a highly autonomous Site Reliability Engineer who thrives on building and operating resilient systems across both cloud and edge environments
• You take end-to-end ownership - from architecture through production - and have a track record of shipping reliable, scalable infrastructure that supports high-throughput workloads, including systems capable of handling millions of hours of video
• You bring a pragmatic, builder mindset: you move quickly, prioritize using first principles, and consistently deliver production-grade systems
• You collaborate effectively across teams, communicate clearly, and translate ambiguous requirements into durable, well-architected solutions
• 5+ years in Site Reliability Engineering, DevOps, or infrastructure engineering
• Strong experience with observability, monitoring, alerting, and incident response
• Proven experience managing Kubernetes clusters in GCP (preferred) or AWS/Azure
• Experience building and automating infrastructure at scale across both cloud and edge environments
• Strong Linux systems and backend engineering fundamentals
• Hands-on experience with tools like Terraform, ArgoCD, Kubernetes, Docker, Prometheus, and Grafana

Desirable

• Design, build, and operate highly reliable infrastructure across both cloud and edge environments
• Own observability and site reliability systems, including monitoring, alerting, and incident response
• Deploy, manage, and scale Kubernetes clusters in Google Cloud (GCP preferred) and other cloud platforms as needed
• Build and automate infrastructure provisioning and deployment pipelines using tools like Terraform and ArgoCD
• Develop and maintain systems using Linux and modern backend technologies
• Architect and operate distributed systems that handle large-scale, high-throughput workloads
• Leverage cloud platforms (GCP, AWS, Azure) to optimize for performance, scalability, and cost
• Implement and manage tooling across the stack, including Kubernetes, Docker, Prometheus, and Grafana
• Partner cross-functionally with engineering and product teams to design and deliver reliable systems
• Prioritize and execute engineering work using first-principles thinking in a fast-paced environment
• Quickly learn and adopt new technologies to improve system performance and developer velocity
• What excites you:
• A culture where hard work that drives great outcomes is expected, celebrated, and rewarded
• A place where you can make industry-wide impact and contribute to one of the most exciting technologies of our time
• Working and mutually learning from an extremely high caliber engineering team
• Developing real-time, high availability video intelligence systems in cloud and sometimes on edge, with lots of ownership and opportunities to implement novel solutions
• Delivering video intelligence infrastructure and tools in ways that are thoughtful about end user privacy, such as edge inference and federated training
• Designing, owning and scaling end-to-end edge and cloud AI platforms
• Operating with autonomy in a fast paced environment
• Communicating directly with customers to better understand their use-cases for iterating on future product roadmap