Platform Engineer

About Us

Eagle Eye Networks is the global leader in cloud video surveillance, delivering cyber-secure, cloud-based video with artificial intelligence (AI) and analytics to make businesses more efficient and the world a safer place. The Eagle Eye Cloud VMS (video management system) is the only platform robust and flexible enough to power the future of video surveillance and intelligence. Eagle Eye is based in Austin, Texas, with offices in Amsterdam, Bangalore, and Tokyo.
Eagle Eye Networks is a dynamic, fast-moving company. We value the benefits of face‑to‑face collaboration, and we believe it is more enjoyable and productive. The synergy of in‑office interaction is critical to our culture and your presence is essential for Eagle Eye Networks’ success. Eagle Eye Networks has recently announced a return‑to‑office initiative that requires employees to be in the office five days a week.

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As a Platform Engineer at Eagle Eye Networks, you will contribute to the design, improvement, and operation of the core systems that power one of the largest cloud video surveillance platforms in the world. With a focus on stability, scalability, and automation, you will work closely with development, infrastructure, and data teams to build and enhance the foundational components of our platform.

This role is ideal for engineers who enjoy solving complex technical challenges, automating infrastructure, and enabling teams through high‑quality tooling.

You will play a key role in evolving our Kubernetes‑based platform, strengthening observability, and improving the developer experience — directly impacting the performance and reliability of our global environment.

• Infrastructure Development & Integration
  • Build, enhance, and maintain Kubernetes‑based infrastructure across global production environments.
  • Contribute to the design and implementation of platform services including ingress, service mesh, container runtime integrations, storage systems, networking components, and cluster automation.
  • Integrate modern technologies to ensure platform components align with company goals and architectural standards.
• Observability & Platform Health
  • Implement and maintain monitoring, metrics, and logging solutions using systems such as Prometheus, Grafana, and related tooling.
  • Improve visibility, performance insights, and dashboards that help teams understand the behavior and health of services running on the platform.
  • Optimize observability pipelines for scalability, efficiency, and usability.
• Developer Tooling & Enablement
  • Build and maintain tools, templates, and automation that streamline how development teams deploy, test, and operate their workloads.
  • Enhance CI/CD workflows, shared Helm charts, deployment frameworks, and environment consistency across clusters.
  • Identify developer experience gaps and introduce improvements to reduce friction and ensure high‑quality deployments.
• Data Systems Collaboration
  • Support the integration, deployment, and operation of the platform’s large‑scale, distributed data systems as part of broader platform responsibilities.
  • Participate in the maintenance and evolution of distributed storage technologies, including shared responsibility for major persistent storage platforms.
  • Ensure that Kubernetes infrastructure, storage layers, and data services interoperate reliably and efficiently.
  • Contribute to automation, deployment patterns, and best practices that improve consistency, performance, and manageability across the platform’s data ecosystem.
• Continuous Improvement
  • Participate in initiatives that simplify, automate, or modernize platform operations.
  • Contribute to documentation, standards, and best practices for internal platform usage.
  • Advocate for engineering excellence, maintainability, and efficiency across all platform components.

• 3–5+ years of experience in Platform Engineering, Dev Ops, or Infrastructure Engineering.
• Strong Linux proficiency and hands‑on experience with Kubernetes in production environments.
• Solid understanding of distributed systems fundamentals, scalability challenges, and cloud‑native architecture.
• Experience implementing or maintaining…