SigNoz

observability platform

SrBackendEngineer-Platform

₹40–70L Bengaluru, Karnataka, India FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Sr Backend Engineer - Platform at SigNoz. Skills: golang, distributed systems, APIs, services, core backend components, SaaS auto-scalability, OpenTelemetry. handling infra, billing tech, automations, auth, RBAC, caching, scalability of saas, staging envs. handling petabyte-scale data with performance”

What You'll Achieve.

your work directly shapes how teams adopt SigNoz

Industry & Context.

observability platform
Problems you'll solve

monitor, debug, and optimize their applications with deep visibility into metrics, traces, and logs

What They're Looking For.

Must Have

5–8 years of experience in golang, understanding of concurrency, locks, channels, and performance in Go, Experience building distributed systems while writing clean and scalable code, Ability to drive initiatives end-to-end: from problem discovery → design → implementation → rollout, Comfortable working in a high-ownership, fast-moving, remote-first environment

Nice to Have

Past experience in platform teams of series B+ startups., Experience in observability (monitoring / logging / tracing), Familiarity with OpenTelemetry and/or ClickHouse, Kafka, Kubernetes, etc., Has been, or wants to be, a founder in B2B/devtools

What You'll Do.

handling petabyte-scale data with performance

Create a marketplace of integrations: patterns

and tooling to help the community plug SigNoz into their stack

Design and implement APIs

and core backend components in Go

SaaS auto-scalability

Making the ingest path robust to bursts while maintaining data freshness

How You'll Work.

Team & Collaboration

Collaborate with high-caliber team who just can't stop shipping

Communication Scope

communication skills; can write clear tech docs and explain trade-offs

Process & Methodology

Ability to drive initiatives end-to-end: from problem discovery → design → implementation → rollout

Full Job Description

ABOUT SIGNOZ SigNoz is an open-source observability platform that helps modern engineering teams monitor, debug, and optimize their applications with deep visibility into metrics, traces, and logs — all in one place. We’re built natively on OpenTelemetry and offer both self-hosted and cloud options, so teams can run observability the way they want, without vendor lock-in. We are growing fast and building core developer infra products. And we are not fooling around: - 26,000+ GitHub stars - 700+ customers - 7,000+ members in our Slack community ROLE: SR BACKEND ENGINEER – PLATFORM We’re looking for a Sr Beckend Engineer – Platform. The platform team at SigNoz handles infra, billing tech, automations, auth, RBAC, caching, scalability of saas, staging envs, etc. The team is responsible for handling petabyte-scale data with performance. WHAT YOU’LL WORK ON You will be working with the high-caliber team in some of the below areas. - BillingOps, RevenueOps, Caching, Agent collectors, SaaS operations - Create a marketplace of integrations: patterns, templates, examples, and tooling to help the community plug SigNoz into their stack - Design and implement APIs, services, and core backend components in Go - SaaS auto-scalability - Making the ingest path robust to bursts while maintaining data freshness WHAT WILL MAKE YOU SUCCESSFUL - 5–8 years of experience in golang - Strong understanding of concurrency, locks, channels, and performance in Go - Experience building distributed systems while writing clean and scalable code - Loves open source – ideally with prior contributions to OSS projects (any size) - Ability to drive initiatives end-to-end: from problem discovery → design → implementation → rollout - Comfortable working in a high-ownership, fast-moving, remote-first environment - Strong communication skills – can write clear tech docs and explain trade-offs NICE-TO-HAVES - Past experience in platform teams of series B+ startups. - Experience in observability (monitoring

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