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Senior Software Engineer, Data - Advertising Engineering

Оценка ИИ

Roku — лидер рынка стриминга с уникальной инженерной культурой. Вакансия предлагает работу с передовым стеком технологий (AI, Big Data) и высокую степень влияния на продукт, хотя требует значительного опыта и присутствия в офисе 4 дня в неделю.


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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Высокая сложность обусловлена требованием более 10 лет опыта и необходимостью глубокой экспертизы сразу в двух областях: разработке API (Spring Boot) и Big Data (Spark, Airflow). Роль предполагает работу с высоконагруженными системами и сложным стеком технологий (Druid, Trino, StarRocks).

Анализ зарплаты

Медиана95 000 £
Рынок80 000 £ – 120 000 £
Оценка ИИ

Предлагаемая роль Senior-уровня в Кембридже соответствует высокому сегменту рынка. Учитывая требования (10+ лет опыта), зарплата должна быть выше среднего для обеспечения конкурентоспособности на фоне лондонских технологических компаний.

Сопроводительное письмо

I am writing to express my strong interest in the Senior Software Engineer, Data position within the Advertising Engineering team at Roku. With over a decade of experience in software development and a deep specialization in both backend API construction and big data orchestration, I am confident in my ability to contribute to your Ads Analytics initiatives. My background in building scalable REST services with Spring Boot, combined with extensive experience developing Spark-based ETL pipelines, aligns perfectly with the hybrid nature of this role.

Throughout my career, I have focused on bridging the gap between complex data processing and high-performance application delivery. I have a proven track record of optimizing data storage and retrieval using technologies like Druid and Trino, and I am particularly excited about Roku's exploration of AI-driven measurement capabilities. I am eager to bring my technical leadership and passion for building robust, production-grade data products to your innovative team in Cambridge.

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Присоединяйтесь к Roku в Кембридже и создавайте будущее рекламных технологий для миллионов зрителей по всему миру!

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.

About the team

The Ads Analytics team plays a critical role in Roku’s Advertising organization, leading measurement and analytics initiatives that power decision-making across the advertising ecosystem. We develop and manage products that deliver actionable insights for advertisers while meeting the operational and analytical needs of internal business teams.  

We work closely with Product Managers, Ad Sales, Ad Operations, Data Science, and multiple other software teams within the Advertising Engineering organization to deliver high-impact solutions.   

Looking ahead, we are exploring AI-driven measurement capabilities to further enhance the effectiveness of advertising campaigns and strengthen internal analytics. 

About the role

We are seeking a high skilled Senior Software Engineer with deep expertise in API Development using Spring Boot while also possessing knowledge of Apache Spark-based Big Data pipelines using Airflow. This hybrid position bridges software engineering and data engineering, requiring the ability to design, build, and maintain scalable systems for both application development and large-scale data processing.  

You will communicate and collaborate heavily with both business and engineering to ensure high quality standards and overall project delivery success. In this role, you will collaborate with cross-functional teams to architect and manage robust, production-grade data products that power critical analytics and measurement capabilities. You will work with technologies such as Apache Spark, Apache Airflow, Trino, Druid, Spring Boot, StarRocks, and Looker to deliver reliable, high-performance solutions.  

The ideal candidate is a proactive, self-motivated professional with a strong track record in building applications and services with a dedication to delivering exceptional results. 

What you’ll be doing

Software Development

  • Design and build APIs and backend services using Spring Boot to support data products and analytics workflows.
  • Write clean, maintainable, and efficient code and tests, ensuring adherence to best practices through code reviews.

Big Data Engineering

  • Design, develop, and maintain data pipelines and ETL workflows using Apache Spark and Apache Airflow.
  • Optimize data storage, retrieval, and processing systems to ensure reliability, scalability, and performance.
  • Develop and fine-tune complex queries and analytics solutions using Druid, Trino, and StarRocks for large-scale datasets.
  • Monitor, troubleshoot, and improve data systems to minimize downtime and maximize efficiency.

Collaboration & Mentorship

  • Partner with data scientists, software engineers, and other teams to deliver integrated, high-quality solutions.
  • Provide technical guidance and mentorship to junior engineers, promoting best practices in software and data engineering.

We’re excited if you have

  • 10+ years professional software development experience.
  • Experience building highly scalable, low-latency REST services and API frameworks.
  • Able to efficiently write SQL queries and analyze results to explore business problems and inquiries.
  • Ability to translate queries and reporting requirements into production-level data processing pipelines.
  • Proficient in day-to-day use of Python / Java / Scala.
  • Strong understanding of and experience with distributed computing frameworks like Hive/Hadoop and Apache Spark.
  • Expertise in datamodeling, schema design, and data visualization tools.
  • Experience working in GCP and/or AWS is a plus.
  • Experience with JavaScript, Node.js and React is nice to have.
  • Experience deploying services on Kubernetes is a plus.
  • Knowledge of CI/CD pipelines, DevOps practices, and infrastructure-as-code tools (e.g., Terraform) is a plus.
  • Background in computer science or similar quantitative field.
#LI-GL1

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

  • Spring Boot
  • Apache Spark
  • Apache Airflow
  • Java
  • Python
  • Scala
  • SQL
  • Trino
  • Druid
  • StarRocks
  • Looker
  • REST
  • Kubernetes
  • AWS
  • GCP
  • Terraform
  • React
  • Node.js
  • JavaScript
  • Hive
  • Hadoop

Возможные вопросы на собеседовании

Проверка опыта проектирования систем, способных обрабатывать огромные объемы рекламных данных Roku.

Опишите архитектуру высоконагруженного API на Spring Boot, которое вы проектировали: как вы обеспечивали низкую задержку (low-latency) при работе с большими данными?

Оценка навыков оптимизации и понимания внутренних механизмов Spark.

С какими наиболее сложными проблемами производительности в Spark-пайплайнах вы сталкивались и как вы их решали (например, data skew или проблемы с памятью)?

Проверка умения выбирать правильный инструмент для аналитических задач.

В каких случаях вы бы предпочли использовать Druid или StarRocks вместо классических реляционных баз данных для аналитики в реальном времени?

Оценка опыта работы в гибридной среде разработки и эксплуатации.

Расскажите о вашем опыте развертывания сервисов в Kubernetes и использования CI/CD для автоматизации жизненного цикла данных.

Проверка лидерских качеств и умения работать в команде.

Как вы подходите к менторству младших инженеров и обеспечению качества кода в распределенной команде?

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