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. Learn more at een.com.

Summary

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.

Responsibilities 

• 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.

Experience 

Must Have:

• 3–5+ years of experience in Platform Engineering, DevOps, 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 monitoring, metrics, and logging technologies (Prometheus, Grafana, etc.).
• Experience with infrastructure automation using Ansible, Helm, Terraform, GitOps workflows, or similar tooling.
• Understanding of networking, containers, CI/CD concepts, and platform-level patterns.
• Ability to collaborate effectively with engineering and data-focused teams while articulating platform concepts clearly.

Nice to Have:

• Experience with distributed storage systems such as Ceph.
• Familiarity with large-scale distributed data technologies such as Elasticsearch/OpenSearch, Cassandra, or similar systems.
• Exposure to service meshes or advanced ingress technologies.
• Experience with internal developer platforms or platform tooling.
• Familiarity with Go, Python, or Bash for automation and scripting.
• Experience operating large-scale or globally distributed infrastructure.

Why work for Eagle Eye?

Eagle Eye Networks is an innovative, global start-up building the only platform powerful enough to support the future of video surveillance and security. Here your voice will be heard, and talent respected. We have proven leadership and financial backing of one of the world’s premier venture capital firms. The work we do is essential in today’s world, as our systems are used to protect the health, safety, and welfare of people and property around the world.

• Medical Benefits: We offer competitive medical, vision, and dental plans. Company offsets premiums.
• Taco Tuesdays: Like breakfast tacos? You’re at the right place, because weekly breakfast tacos are provided.
• 401k plan with company match!
• Weekly Lunch: Food is love. Especially when it is free.
• Snacks: You will never go hungry.
• Culture: Innovation drives our vibe.
• Diversity: We embrace our global presence, the diverse ideas and backgrounds of our team to improve our culture, our products and grow our people and our business.
• Unlimited PTO: We value our employees’ work/life balance and want you to spend the time off you need.

More About Eagle Eye Networks

Eagle Eye Networks is leveraging artificial intelligence on its true cloud platform to dramatically reshape the video surveillance and security industry. The Eagle Eye Cloud Video Management System (VMS) is a smart cloud video surveillance solution, purpose-built to help businesses improve safety, security, operations, and customer service. Tens of thousands of companies in more than 90 countries around the globe have moved their video surveillance to the cloud with Eagle Eye VMS. Customers, including multi-family residences, smart cities, schools, hospitals, hotels, logistics, restaurants, and retail shops trust Eagle Eye for actionable business intelligence and proactive security across multiple locations. The Eagle Eye VMS has strong APIs for the secure integration of third-party systems and works with thousands of industry cameras, so customers don’t have to “rip and replace” their existing infrastructure. Eagle Eye Cloud VMS is the only platform robust enough to power the future of video surveillance.

Eagle Eye Networks is an equal employment opportunity employer and values diversity. Qualified candidates are considered for employment without regard to race, religion, gender, gender identity, sexual orientation, national origin, age, military or veteran status, disability, or any other characteristic protected by applicable law.