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Senior Software Engineer – Golang/Kubernetes
Отличная вакансия в известной публичной компании с сильной инженерной культурой. Работа с передовым стеком технологий (Go, K8s, OpenTelemetry) на огромных масштабах и возможность влиять на open-source сообщество делают эту роль крайне привлекательной для Senior-разработчика.
Сложность вакансии
Высокая сложность обусловлена требованиями к глубоким знаниям распределенных систем, опытом работы с огромными объемами данных (терабайты в день) и необходимостью вносить вклад в open-source проекты. Роль Senior подразумевает высокий уровень ответственности за архитектурные решения в критически важной инфраструктуре.
Анализ зарплаты
Предлагаемая роль Senior уровня в Манчестере соответствует рыночным ожиданиям для крупных международных технологических компаний. Хотя точные цифры не указаны, медиана для Senior Go инженеров в Великобритании в пересчете на фунты стерлингов обычно находится в диапазоне £85,000 - £110,000 в год. Пакет Roku, включающий акции (RSU), может значительно превышать средние показатели по региону.
Сопроводительное письмо
I am writing to express my strong interest in the Senior Software Engineer position within the Observability team at Roku. With extensive experience in building high-throughput distributed systems and a deep proficiency in Go, I am excited about the opportunity to contribute to a platform that processes terabytes of data daily. My background in optimizing storage layers and query paths aligns perfectly with your mission to advance Roku’s observability capabilities.
In my previous roles, I have successfully leveraged Kubernetes and CNCF-supported projects like Prometheus and Grafana to empower engineering teams with actionable insights. I am particularly drawn to Roku's culture of ownership and fast iteration, and I am eager to apply my expertise in time-series databases and data pipelines to enhance the performance and reliability of your cloud-native stack. I look forward to the possibility of discussing how my technical skills can support Roku's continued growth.
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Описание вакансии
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.
Are you passionate about building scalable, high-performance systems that process massive amounts of data? Do you thrive on designing and implementing innovative solutions to empower engineering teams with actionable insights? Are you excited to advance open-source observability at a massive scale? Join us to extend (open source) observability tools and build new capabilities that help teams manage data better and get actionable insights.
About the Team
The Observability team is part of Roku’s Cloud Technology Infrastructure organisation 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 optimise their applications with ease.
What sets us apart is our results-driven culture rooted in ownership, accountability, and fast iteration. We prioritise solving meaningful engineering problems, fostering collaboration, and continuously improving how we work as a team.
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 needed, structurally overhaul core components, such as storage layers and query paths, to improve 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.
What We’re Looking For
- Extensive experience in software engineering building distributed, high-throughput systems or observability platforms.
- Hands on Go experience; our observability ecosystem is Go-based, 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-PA1
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 offices with a five day in office policy.
Benefits
Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Our employees can take time off work for vacation and other personal reasons to balance their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
Accommodations
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
The Roku Culture
Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
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Навыки
- Go
- Kubernetes
- Prometheus
- Grafana
- Loki
- Tempo
- ELK
- OpenSearch
- ClickHouse
- OpenTelemetry
- OpenTracing
- OpenMetrics
- AWS
- GCP
- Azure
- Distributed Systems
- Parquet
Возможные вопросы на собеседовании
Проверка глубинных знаний языка, на котором строится вся экосистема обсервабильности в компании.
Расскажите о механизмах управления памятью в Go и о том, как вы оптимизировали производительность Garbage Collector в высоконагруженных сервисах?
Вакансия напрямую связана с обработкой огромных потоков данных.
Как бы вы спроектировали систему сбора метрик, способную обрабатывать сотни миллионов активных временных рядов с минимальной задержкой?
В описании упоминается работа с TSDB и колоночными форматами (Parquet).
В каких случаях вы бы предпочли использование Clickhouse вместо Prometheus для хранения данных обсервабильности, и каковы компромиссы?
Роль требует глубокого понимания K8s.
Опишите ваш опыт написания кастомных Kubernetes Operators для автоматизации задач обсервабильности.
Roku активно использует и расширяет open-source инструменты.
Был ли у вас опыт внесения изменений (upstream contributions) в крупные open-source проекты, такие как Prometheus или OpenTelemetry? С какими сложностями вы столкнулись?
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