Kentik is the network intelligence platform for modern infrastructure teams. Unlike traditional monitoring and observability tools, we demystify complex network operations, enabling organizations to deliver applications and innovation at scale. Built by network experts to make critical insight accessible to every engineer, Kentik is the real-time source of truth that understands every network in context — from data center to cloud to the internet. This single platform unifies and correlates cloud, device, flow, synthetic data to turn telemetry into action. Market leaders like Akamai, Booking.com, Dropbox, and Zoom rely on Kentik to run, manage, and optimize their networks. Kentik's Platform Engineering group is responsible for storing, enriching, and querying traffic metadata and metrics from the world's largest networks. Our platform actively monitors infrastructure, triggers automated responses to outages and attacks, and is critical to delivering complete network observability to our customers. Our platform ingests trillions of records and serves hundreds of thousands of queries for our users each day. The scale that this group services is tremendous. Platform Engineering consists of 4 teams; (1) Ingest and Storage, (2) Query, (3) Network Data, (4) SRE. As a senior engineer in platform engineering on the Network Data Team, you will have the opportunity to co-own, design, and scale a high-performance, data-intensive platform that processes the network monitoring data from the most influential companies on the internet. We have built a team of world-class engineers, network experts, and technology thought leaders in a remote-friendly culture from day one. While prior experience in a remote environment is not required, we highly value strong collaboration and communication skills, and a high level of independence and autonomy. Our Network Data Team is seeking an experienced backend engineer to scale our network data observability portions of our platform. You will work closely with customer service, product, and other engineering teams to develop new network data observability features.
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Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
101-250 employees