Senior Software Engineer, Roku
Advertising Analytics
More information about location
4+ days a week in office
Convenient and affordable TV streaming players
Be an early applicant
Convenient and affordable TV streaming players
1001+ employees
Be an early applicant
More information about location
4+ days a week in office
1001+ employees
Company mission
To provide its users with a more convenient and cost effective way of watching the programs they love.
Role
Who you are
- 8+ years of experience in software and/or data engineering with expertise in big data technologies such as Apache Spark, Apache Airflow
- Expertise with at least one of the following: Apache Druid, StarRocks, and Trino
- Strong understanding of SOLID principles and distributed systems architecture
- Proven experience in distributed data processing, data warehousing, and real-time data pipelines
- Strong programming skills in Java, Python, or Scala
- Advanced SQL skills, with expertise in query optimization for large datasets
- Expertise in data modeling, schema design, and data visualization tools
- Experience building highly scalable, low-latency, APIs
- Exceptional problem-solving abilities and the capacity to work both independently and collaboratively as needed
- Exceptional verbal and written communication skills
- Experience with cloud platforms such as AWS, GCP, or Azure, and containerization tools like Docker and Kubernetes. (preferred)
- Experience in AdTech, in advertising data platforms and campaign measurement. (preferred)
- Knowledge of CI/CD pipelines, DevOps practices, and infrastructure-as-code tools (e.g., Terraform). (preferred)
- Experience with building Agentic AI systems to automate decision-making and enhance analytics workflows. (preferred)
- Bachelor's degree in computer science, Engineering, or a related field (or equivalent experience)
What the job involves
- 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
- 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
Our take
According to Nielsen data, the average streamer spends over seven minutes searching for something to watch. Streaming services use customers' viewing history to make suggestions, but these are limited to programs licensed for that particular service.
Roku provides an integrated streaming service that offers TV channels, movies and third-party streaming services, resulting in an all-in-one streaming platform. The service can be accessed through a variety of customized subscription packages and fees.
Roku stands out in the streaming industry by bringing many competitors together in one package. The startup provides further innovative services such as a weekly TV series named 'Roku Recommends' which uses first-party data to recommend essential viewing to users. Alongside funding filmmakers through its "Change Makers Program", Roku also acquired its own original library of shows through its acquisition of now-defunct Quibi's library in 2021. After successful collaborations with TCL and Hisense, the first in-house "Roku Television" was released in 2023, further exemplifying the streaming company's wider ambitions in the media sector.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
-6% employee growth in 12 months
Company
Funding (last 2 of 9 rounds)
Jan 2016
$45.5m
LATE VC
Nov 2015
$45.5m
SERIES H
Total funding: $247.8m
Company benefits
- Medical, wellness and financial benefits
- Unlimited paid time off policy
- Work from home opportunities
Company HQ
Newhall, San Jose, CA
Leadership
Anthony Wood
(Founder & CEO)Studied Engineering at Texas A&M before founding their first company in 1986. They held VP roles at both Adobe and Netflix.
Salary benchmarks
We don't have enough data yet to provide salary benchmarks for this role.
Submit your salary to help other candidates with crowdsourced salary estimates.
Share this job
View 146 more jobs at Roku