Senior Software Engineer, Observability
RokuBengaluru, IndiaPosted 24 February 2026
Job Description
Teamwork makes the stream work.
Roku is changing how the world watches TV
Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
About the team
The Observability team is part of Roku’s Cloud Technology Infrastructure organization and plays a critical role in our platform. We are a high-performing, fast-moving international team that thrives on ownership, effective communication, and delivering impactful engineering solutions.
Our mission is to advance Roku’s observability platform, which operates at an impressive scale by ingesting terabytes of data daily and managing hundreds of millions of active series. As part of this mission, we focus on building scalable, performant systems to meet Roku’s unique needs. By leveraging open-source tools, CNCF-supported projects, and custom solutions, we enable engineering teams across Roku to monitor, debug, and optimize their applications with ease.
What sets us apart is our results-driven culture rooted in ownership, accountability, and fast iteration. We prioritize solving meaningful engineering problems, fostering collaboration, and continually improving our team's work processes.
About the role
You will work on core observability systems (metrics, logs, traces) while also developing robust data pipelines and storage solutions optimized for high throughput, performance, and cost. You’ll leverage technologies such as time-series databases (TSDB), columnar storage formats (e.g., Parquet), and distributed data processing frameworks to advance the platform’s capabilities. Collaboration with cross-functional teams will be critical, as you’ll integrate observability into Roku’s cloud-native stack and contribute improvements back to the open-source community.
Extend and integrate open-source observability systems, and when necessary, structurally overhaul core components, such as storage layers and query paths, to enhance the performance, reliability, and usability of these tools at scale.
Build services to improve performance, usability, reliability, and cost efficiency.
Implement features like pre-aggregation, downsampling, and sampling to reduce load and accelerate queries.
Create developer-facing capabilities for metrics, logs, and traces usage, data quality, and cost management.
Automate onboarding, dashboards, alerting, and tracing.
Collaborate across platform and infrastructure teams to integrate observability into Roku’s cloud-native stack.
We're excited if you have
8+ years in software engineering, building distributed, high-throughput systems or observability platforms.
4+ years of Go/Golang experience; our observability ecosystem is built on Go, making it the most effective language for this role.
Experience with, or strong interest in, observability tools (Prometheus, Grafana, Loki, Tempo, ELK/OpenSearch, Clickhouse) and standards (OpenTelemetry, OpenTracing, OpenMetrics).
Deep understanding of distributed systems and data models
Hands-on experience with Kubernetes and cloud platforms (AWS, GCP, Azure).
#LI-AR2
Our Hybrid Work Approach
Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offic ... (truncated, view full listing at source)
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