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Senior Software Engineer - Observability

redpandadata

PLremote globalPosted Apr 10, 2026

About the role

Redpanda is pioneering the Agentic Data Plane (ADP) - a new category in AI infrastructure that makes it simple and secure to connect AI agents with enterprise data and systems. Built on a multi-modal data streaming engine, Redpanda empowers agentic applications that reason and act in real-time with speed, autonomy, and precision.

Global leaders including Activision Blizzard, Cisco, Moody's, Texas Instruments, Vodafone and 2 of the top 5 banks in the U.S. rely on Redpanda to process hundreds of terabytes of data a day.

Backed by premier venture investors Lightspeed, GV and Haystack VC, Redpanda is a diverse, people-first organization with teams distributed around the globe.

About the Role:

We are looking for a Senior Software Engineer to join our Observability team and help build the platform that gives Redpanda’s engineering organization deep visibility into the health, performance, and behavior of our systems. You will own and evolve our Grafana-based observability stack—spanning metrics, logs, and traces—and ensure that every team at Redpanda has the tooling and insights they need to ship reliable, high-performance software.

This is a high-impact role at the intersection of infrastructure and developer experience. You will work closely with platform and product engineering teams to design scalable observability solutions, drive adoption of best practices, and reduce mean time to detection and resolution across our cloud and on-premise deployments.

You Will:

Design, build, and maintain Redpanda’s observability platform using the Grafana stack (Grafana, Mimir, Loki, Tempo, Alloy/Agent)

Develop and optimize dashboards, alerts, and SLO/SLI frameworks that give engineering teams actionable insights into system health

Build and operate scalable metrics, logging, and distributed tracing pipelines that handle high-cardinality data across cloud and on-premise environments

Instrument services and infrastructure with OpenTelemetry to ensure comprehensive, standards-based telemetry collection

Partner with platform teams to improve incident detection, root-cause analysis, and mean time to resolution (MTTR)

Evaluate and integrate new observability tools and techniques, driving continuous improvement of our monitoring capabilities

Contribute to internal tooling and automation that streamlines observability onboarding for engineering teams

Participate in on-call rotation to keep observability infrastructure running and incident free

You Have:

5+ years of experience in software engineering with a focus on observability, monitoring, or infrastructure

Deep hands-on experience with the Grafana stack (Grafana, Mimir/Prometheus, Loki, Tempo) in production environments

Strong understanding of metrics, logging, and distributed tracing paradigms and their trade-offs at scale

Experience with OpenTelemetry (OTel) for instrumentation and telemetry collection

Proficiency in at least one systems-level language (Go strongly preferred) and scripting languages (Python, Bash)

Experience running and operating infrastructure on Kubernetes in public cloud environments (AWS, GCP, or Azure)

Comfortable working with a 100% distributed engineering team, collaborating on GitHub, etc.

Solid understanding of time-series databases, log aggregation systems, and query languages (PromQL, LogQL)

Nice to Have:

Strong understanding of Go

Experience operating a SaaS platform with production observability at scale

Familiarity with eBPF-based observability or continuous profiling tools (e.g., Pyroscope, Parca)

Experience with infrastructure-as-code (Terraform, Pulumi) and GitOps workflows

Operated and used streaming platforms (e.g., Kafka, Redpanda) either as a user or provider

Experience building or managing multi-tenant observability platforms

Contributions to open-source observability projects (Grafana, Prometheus, OpenTelemetry, etc.)

Join Redpanda if you’d enjoy being part of a fast-moving, diverse, people-first organization with team members around the globe and a culture based on trust, transparency, communication, and kindness.

#LI-Remote

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