Platform Engineering Manager

About Us

Eagle Eye Networks is the global leader in cloud video surveillance, delivering cyber-secure, cloud-based video with AI and analytics to make businesses more efficient and the world a safer place. The Eagle Eye Cloud VMS 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 the Lead Platform Engineer at Eagle Eye Networks, you will pioneer the continuous improvement and innovation of our underlying systems that support one of the largest cloud video surveillance platforms globally. With an emphasis on stability, security, and scalability, you will work closely with development teams and other departments, translating your passion for technical challenges into real-world solutions. This position offers the opportunity to utilize your leadership skills in managing the Platform Engineering team and to have ownership over critical projects that drive the success of our cutting-edge technology.

• Platform Architecture & Infrastructure Leadership
  • Lead the design, evolution, and operation of Eagle Eye’s global Kubernetes-based platform across multiple private data centers.
  • Guide architectural decisions around cluster topology, networking, storage systems, compute utilization, and platform scalability.
  • Drive improvements to core platform components including ingress, service mesh, container runtimes, secret management, and automation frameworks.
• Team Leadership & Mentorship
  • Manage, mentor, and grow a team of Platform Engineers, fostering a high-performance, collaborative, and ownership-driven culture.
  • Provide technical leadership through design reviews, roadmap planning, and hands-on guidance.
  • Develop clear engineering expectations, career paths, and a culture of continuous improvement.
• Developer Platform & Tooling
  • Own the internal developer experience — including CI/CD frameworks, deployment tooling, Helm charts, automation pipelines, and environment standardization.
  • Partner with application teams to simplify onboarding, improve reliability, and accelerate feature delivery.
• Observability Platform Ownership
  • Oversee the design and reliability of metrics, logging, and tracing infrastructure used across all EEN services.
  • Ensure observability systems (Prometheus, Grafana, Victoria Metrics, Open Search/Victoria Logs, etc.) are scalable, well-architected, and aligned to engineering needs.
• Data Systems & Storage Integration
  • Provide technical leadership around the integration, performance, and reliability of large-scale distributed data systems (e.g., durable storage clusters, messaging systems, search/indexing systems, and stateful workloads).
  • Oversee platform support for distributed storage technologies including Ceph and other high-throughput, high-availability storage systems.
  • Ensure the platform and data layers interoperate efficiently across global regions.
• Strategic Planning & Execution
  • Translate company goals into a clear, actionable platform roadmap.
  • Own cross-functional initiatives that improve platform resilience, developer productivity, and operational efficiency.
  • Evaluate emerging technologies and guide strategic bets that move the platform forward.

Must Have:

• 8+ years of experience in Platform Engineering, Infrastructure Engineering, or a related field, with at least 3 years in a leadership or managerial role.
• Strong hands-on experience with Kubernetes in production, including cluster design, scaling, observability, and platform integrations.
• Deep understanding of distributed systems fundamentals: networking, storage, scheduling, high availability, and stateful workloads.
• Experience leading and mentoring…