We build together, and we celebrate what we ship.
Cupertino, Bengaluru, and wherever the team happens to be that week.
Kloudfuse is building AI-native unified observability for the companies running the most demanding infrastructure on earth. Here, engineers own real parts of the platform, invent novel approaches to hard systems problems, and see their work run in production at scale.
Telemetry volume is growing faster than the tools built to hold it, and AI workloads are accelerating it. Most platforms answer with per-gigabyte pricing that pushes teams to drop the data they need most. We unify every observability signal into one data lake and run it inside the customer’s own cloud.
Zscaler runs 300+ TB of telemetry a day through Kloudfuse, queried across 78 engineering teams, entirely inside their own cloud. Automation Anywhere ingests 150 TB a day across 15 regions. Ship something here and it is under that load immediately.
We’re early, backed for the long build, and small enough that individual decisions still land. The architecture questions are genuinely open — how an agent investigates a live incident, what the query engine does next — and they get answered by whoever shows up with the better answer.
How we build, how we make trade-offs, and how we treat the customers who let us run inside their infrastructure.
Customer impact is our clearest guide. We make trade-offs with their reliability, security and long-term success in mind, and more than once that has meant not shipping something we wanted to. Customers deploy Kloudfuse inside their own cloud, and we treat that access as earned, never taken for granted.
We take on the hard problems, especially when the answer isn’t obvious. We build for the long term without waiting for perfect, then ship, learn and improve. Precision over hype: we use AI where it makes engineers meaningfully more effective.
We take ownership from the first engineering decision all the way to the customer, and we stand behind what we ship. This is the kind of problem most engineers never get to work on, and we treat it that way.
The best people we know want ownership, hard problems, and the freedom to turn ideas into systems that work at scale.
You want to own a surface end to end — the storage engine, the query planner, the agent fleet, the interface engineers debug production in — from the design decision all the way to the customer.
You’re drawn to distributed systems, performance, data and AI problems where scale changes the obvious answer.
You’d rather learn from a system running under real production load than perfect an abstraction in isolation.
Cupertino, Bengaluru, and wherever the team happens to be that week.
We hire deliberately and grow the team around real problems. Every role here works close to production.
Don’t see your exact role, but building the platform we always wished existed sounds like the right kind of project? Reach out anyway at jobs@kloudfuse.com. We’d rather meet a great engineer early than miss one.
Delight customers, take on new challenges of scale and unification, and keep growing. If building system software at scale is your passion, we should talk.