About SigNoz: SigNoz (signoz.io) is a premier, internationally recognized developer infrastructure innovator, cloud observability architect, and open-source platform provider operating on an absolute mission to protect, automate, and streamline software performance telemetry. Built natively on OpenTelemetry open standards and offering both highly elastic cloud deployments and robust self-hosted nodes, SigNoz eliminates legacy vendor lock-in mechanics by consolidating complex application metrics, deep transaction traces, and petabyte-scale event logs inside a single, high-performance interface. With over 27,000+ GitHub stars, an active international slack community of 7,000+ engineers, and a global baseline of 800+ production business accounts, SigNoz operates on a high-velocity, quality-obsessed engineering philosophy centered around rapid shipping, technical depth, and async execution. SigNoz equips world-class product leaders with an uncompromised software canvas to manipulate complex data query engines, guide multi-tenant developer tooling adoption, and deploy category-defining observability frameworks globally.
We are hiring a very small number of exceptional engineers. We are not trying to fill seats—we are trying to raise the average. If you join, the bar for everyone after you goes up. This role is for people who ship fast and ship well, and who have already proven they can do that when the stakes and the pace were highest. If that you, the rest of this will read as an invitation rather than a wishlist. Operating as a premier individual contributor within our core engineering group, you will claim true individual operational and strategic accountability over scaling distributed data pipelines, core telemetry storage nodes, and open-source backend abstractions. Shifting completely away from routine single-page application template styling, minor non-technical feature ticket administration, or slow administrative coordinating loops, you will run an active developer requirements harvesting, API structure auditing, and high-cardinality data exploration laboratory—partnering face-to-face with open-source power users, senior SREs, and internal core engineering squads. This position requires an engineering veteran who maps out scalable backend systems fluidly natively using Backend methodologies, evaluates complex infrastructure topologies cleanly natively leveraging data systems architecture knowledge, and commands deep developer-focused product lifecycles confidently under hyper-growth global scale.
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