
The leading data streaming platform for enterprises
Confluent, founded in 2014 and headquartered in Mountain View, California, is a leading data streaming platform built on the open-source Apache Kafka project. With over 1,001 employees, Confluent has raised $455.9 million in funding and serves a diverse range of enterprise customers, providing real-...
Confluent offers unlimited holiday, life insurance, income protection insurance, and delicious catered food twice a week. Employees also benefit from ...
Confluent fosters a culture that values open-source collaboration and innovation, emphasizing the importance of real-time data solutions. The company ...

Confluent • Remote, Ontario, Canada
We’re not just building better tech. We’re rewriting how data moves and what the world can do with it. With Confluent, data doesn’t sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them.
It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together.
One Confluent. One Team. One Data Streaming Platform.
We’re seeking a Senior Software Engineer II with a passion for observability, and a desire to define their career by contributing to our mission critical observability platform that operates at global scale; across the big three cloud providers, a hundred regions, thousands of clusters and tens of thousands of nodes. At this scale, every contribution you make will have an enormous impact on how we develop and operate our global data streaming platform. This role will let you flex a wide range of skills; where UX design and mega scale system design are equally important, where improving developer velocity and compute resource efficiency can be equally satisfying.
Architect, design, build and operate end-to-end solutions for collecting, shipping, storing and querying Open-Telemetry signals from infrastructure, application containers, and k8s clusters, with a heavy focus on self-service, multitenancy, reliability and velocity.
Operate global and regional storage and query backends for metrics, traces, and logs
Define and implement the building blocks for querying, visualizing and acting on 300M+ active time series using Grafana, Prometheus, AlertManager, and PagerDuty
Evaluate and implement new capabilities for logging, trace analytics and application profiling
Work directly with product engineering teams, on calls, and incident commanders to evangelize and deliver enhancements to our observability platform
5+ years building distributed systems in Java, Golang or Python and running in k8s
2+ years on an SRE, DevOps, observability, or similar platform engineering team delivering capabilities to multiple product engineering teams
Deep experience in the use of Prometheus, AlertManager, and Grafana
Experience with operating in-house observability infrastructure and being on-call for it
BS, MS, or PhD in computer science or a related field, or equivalent work experience
Experience operating highly scalable observability backends (VictoriaMetrics, Cortex, Thanos, Mimir, Tempo, Loki, Elastic, etc)
Experience federating multiple observability backends that cross cloud regions
You’ve built and operated k8s clusters on an infrastructure or SRE team in AWS, GCP, and Azure
You’ve taken a platform approach to problem solving by building your own OTel collector components, k8s custom resources and k8s operators
Belonging isn’t a perk here. It’s the baseline. We work across time zones and backgrounds, knowing the best ideas come from different perspectives. And we make space for everyone to lead, grow, and challenge what’s possible.
We’re proud to be an equal opportunity workplace. Employment decisions are based on job-related criteria, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by law.
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