Flowmill automatically monitors the flow of data between every part of your application, giving you a complete picture view.
Backend Engineer San Francisco, CA, United States, Silicon Valley, CA, United States, or Remote
Frontend Engineer San Francisco, CA, United States, Silicon Valley, CA, United States, or Remote
We're pioneering a new approach to observability designed for microservices and public cloud. Its a massive opportunity in a space that has yielded multiple $1B+ exits.
We are a highly technical team with backgrounds from Google, Facebook, Sendgrid, and VMware building on core technology originally developed at MIT.
We are an early stage but well-funded company, with large customers running in production.
The team structure is incredibly flat. We're loosely structured across backend and frontend tasks but in general, someone joining would have significant say in the architecture and processes in engineering.
We're building a hyper efficient data processing pipeline and digging deeply into scaling time series databases. We're deeply embedded in the cloud native ecosystem (Kubernetes, Envoy) as well. Down the line, we'll be investing in machine learning and advanced data analysis techniques as well.
A eBPF based Linux agent for collecting subsecond telemetry on every socket
An advanced real time statistics engine that can run across thousands of time series in parallel.
A metadata collector for Kubernetes to match service and container metadata with metric data.
We strive to create an environment that is flat, hard working but maintaining a balance in life and one in which quality, thoughtfully engineered work is a priority.
unlimited PTO policy (use your discretion)
Weekly team lunches
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