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.
The Revenue Automation and Data team is a key part of Roku's Advertising organization, driving financial automation and data solutions that enable informed decision-making across the advertising ecosystem. We work in a fast-paced, complex environment and partner closely with Finance, Accounting, Analytics, and multiple engineering teams to deliver timely, high-impact insights into business performance. As we look ahead, we're investing in AI-powered capabilities to exponentially scale financial workflows and help non-technical stakeholders translate our diverse data assets into actionable outcomes.
What is the role?
We are seeking a highly skilled Senior Software Engineer for this hybrid position which bridges software and data engineering, requiring the ability to design, build, and maintain scalable systems for both application development and large-scale data processing. In this role, you will architect and maintain production-grade data products and APIs, leveraging technologies such as Java/Scala, SQL, Spark, Airflow, and Kubernetes to deliver reliable, high-performance solutions. The ideal candidate has a proven track record building high-scale data services and pipelines, with strong engineering rigor around data quality and operational excellence.
How will I use AI at Roku?
At Roku, we don’t just use AI, we work with it. AI agents and smart tools help power drafts, analysis, and repetitive workflows, while our people bring direction, judgment, and accountability.
We value curious, adaptable builders, who can show how they’ve used AI, agents, or automation to move faster, improve quality, and scale their impact. Strong candidates know how to frame problems, guide AI-assisted work, check the output, and learn quickly. Above all, they bring curiosity, adaptability, and sound judgment.
What are the responsibilities of the role?
Software Development
Design and build APIs and backend services using Scala and Java to support financial automation and data products.
Write clean, maintainable, and efficient code, 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 using Apache Spark for large-scale datasets.
Monitor, troubleshoot, and improve data systems to minimize downtime and maximize efficiency.
Collaboration & Mentorship
Partner with the analytics, 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.
Bachelor's degree in computer science, Engineering, or a related field (or equivalent experience).
8+ years of experience in software and/or data engineering with expertise in big data technologies such as Apache Spark, Apache Airflow.
Advanced SQL skills, with expertise in query optimization for large datasets.
Expertise in developing APIs and robust backend services, with strong programming skills in Python, Java, and/or Scala.
Exceptional problem-solving abilities and the capacity to work independently or collaboratively.
Excellent verbal and written communication skills.
Strong sense of ownership in driving projects from inception to user adoption.
Experience with cloud platforms such as AWS, GCP, or Azure, and containerization tools like Docker and Kubernetes. (preferred)
Knowledge of CI/CD pipelines, DevOps practices, and infrastructure-as-code tools (e.g., Jenkins & Terraform). (preferred)
Experience with building Agentic AI systems to automate decision-making and enhance analytics workflows. (preferred)
Experience in AdTech and advertising data platforms. (preferred)
#LI-SK8
Roku fosters an inclusive and collaborative environment where teams generally work in the office Monday through Thursday. Fridays are generally flexible for remote work, except for employees whose specific roles or assigned office location require five days' a week attendance.
What are some of the 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). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support 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 [email protected].
What should I know about Roku's 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.
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Skills Required
- Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience)
- 8+ years of experience in software and/or data engineering
- Experience designing and building APIs and backend services
- Expertise with Apache Spark for large-scale data processing
- Experience building ETL workflows with Apache Airflow
- Advanced SQL skills and query optimization for large datasets
- Strong programming skills in Java, Scala, and/or Python
- Experience with cloud platforms (AWS, GCP, or Azure)
- Experience with containerization tools like Docker and Kubernetes
- Knowledge of CI/CD pipelines, DevOps practices, and infrastructure-as-code (Jenkins, Terraform)
- Experience building agentic AI systems or AI-powered automation
- Experience with AdTech or advertising data platforms
- Strong verbal and written communication and ownership mindset
Roku Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Roku and has not been reviewed or approved by Roku.
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Fair & Transparent Compensation — Pay is positioned as competitive across many roles, with frequent emphasis on strong base and total compensation relative to market expectations. Fair-pay perception appears comparatively stronger than overall satisfaction with the broader rewards package.
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Healthcare Strength — Healthcare coverage is framed as a standout, with sizable employer premium contributions that can reduce employee premiums significantly depending on plan choice. Preventive care and mental-health support are also described as part of the core offering.
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Leave & Time Off Breadth — Time-off offerings are presented as broad, including paid holidays, PTO, and multiple leave categories such as bereavement and family-related leave. Self-managed or “unlimited” PTO is also described for many salaried roles, supporting flexibility in taking time off.
Roku Insights
What We Do
Roku pioneered streaming to the TV. We connect users to the streaming content they love, enable content publishers to build and monetize large audiences, and provide advertisers with unique capabilities to engage consumers. Roku streaming players and Roku TV™ models are available around the world through direct retail sales and licensing arrangements with TV OEMs and service operators.
