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SeniorГибридПолная занятость

Senior Software Engineer – Golang/Kubernetes

Оценка ИИ

Roku — лидер рынка стриминга с сильной инженерной культурой. Позиция предлагает работу с передовыми технологиями (OpenTelemetry, Clickhouse) на огромных масштабах, что отлично подходит для профессионального роста Senior-разработчика.


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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Роль требует глубоких знаний в области распределенных систем, опыта работы с Go и стеком CNCF (Kubernetes, Prometheus). Высокая сложность обусловлена масштабами данных (терабайты в день) и необходимостью оптимизировать низкоуровневые компоненты хранилищ.

Анализ зарплаты

Медиана85 000 £
Рынок75 000 £ – 105 000 £
Оценка ИИ

Указанный диапазон соответствует рыночным ставкам для Senior Software Engineer в Кембридже, где технологический сектор очень развит. Roku, как крупная публичная компания, обычно предлагает конкурентные пакеты, включающие RSU (акции).

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 by 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 enhance the performance and reliability of Roku’s cloud-native stack.

Throughout my career, I have developed a passion for open-source observability tools, including Prometheus, Grafana, and the OpenTelemetry ecosystem. I have a proven track record of implementing features like pre-aggregation and downsampling to improve system efficiency. I am particularly drawn to Roku’s results-driven culture and the opportunity to work on CNCF-supported projects at such an impressive scale. I look forward to the possibility of bringing my technical expertise to your international team in Cambridge.

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Составьте идеальное письмо к вакансии с ИИ-агентом

Составьте идеальное письмо к вакансии с ИИ-агентом

Откликнитесь в roku уже сейчас

Присоединяйтесь к Roku в Кембридже и создавайте системы обсервабильности мирового масштаба для миллионов зрителей!

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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Создайте идеальное резюме с помощью ИИ-агента

Создайте идеальное резюме с помощью ИИ-агента

Навыки

  • Go
  • Kubernetes
  • Prometheus
  • Grafana
  • Loki
  • Tempo
  • ELK
  • OpenSearch
  • ClickHouse
  • OpenTelemetry
  • AWS
  • Google Cloud Platform
  • Azure
  • Distributed Systems
  • Parquet

Возможные вопросы на собеседовании

Проверка опыта работы с высоконагруженными системами на Go, что является ключевым требованием.

Расскажите о наиболее сложной проблеме производительности, с которой вы столкнулись в приложении на Go. Как вы ее диагностировали и решили?

Вакансия подразумевает работу с огромными объемами данных и кастомными хранилищами.

Какие стратегии оптимизации запросов и хранения данных вы бы применили для системы, обрабатывающей сотни миллионов активных временных рядов?

Roku активно использует Kubernetes и облачные платформы.

Опишите ваш опыт развертывания и масштабирования систем мониторинга (например, Prometheus или Loki) внутри кластеров Kubernetes.

Роль включает работу с OpenTelemetry и другими стандартами.

В чем, по вашему мнению, основные преимущества и сложности внедрения OpenTelemetry в крупной микросервисной архитектуре?

Проверка навыков проектирования отказоустойчивых систем.

Как бы вы спроектировали конвейер обработки данных, который должен гарантировать доставку метрик даже при кратковременных сбоях в сети или хранилище?

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