Senior Software Engineer - Data Products

JobCubby; India; On-site; INR 3,500,000 - 6,500,000; Full time

Benefits offered by this job

Mental health resources

Healthcare benefits

Retirement options

Job summary

Roku is seeking a Senior Software Engineer focused on big data to design, build, and maintain scalable data products and analytics workloads. You will work with Spark, Airflow, Trino, Druid, Spring Boot, Looker, and other technologies to deliver reliable, high‑performance data services that power advertising analytics.

You will collaborate with cross-functional teams across data science, software engineering, and product management, and mentor junior engineers while helping to shape AI-enabled

Qualifications

• Bachelor's degree in computer science, engineering, or related field.
• 8+ years of software and/or data engineering with big data tech such as Spark and Airflow.
• Expertise with at least one: Druid, StarRocks, or Trino.
• Strong understanding of SOLID principles and distributed systems architecture.
• Experience in distributed data processing, data warehousing, and real-time pipelines.
• Advanced SQL skills for large datasets.
• Excellent problem-solving and ability to work independently or in teams.
• Experience with AWS, GCP, or Azure, and Docker/Kubernetes (preferred).
• Familiarity with Hadoop and Kafka (preferred).
• Experience in AdTech and data platforms (preferred).
• Strong programming skills in Python, Java, or Scala (preferred).
• Knowledge of CI/CD pipelines and infrastructure-as-code tools (preferred).
• Expertise in data modeling, schema design, and data visualization tools.
• Experience building Agentic AI systems to automate decision-making.

Responsibilities

• Software Development: Design and build APIs and backend services using Spring Boot for data products and analytics workflows.
• Big Data Engineering: Build and maintain data pipelines with Spark and Airflow; optimize storage and processing for scalability.
• Querying/Analytics: Develop queries with Druid/Trino/StarRocks for large datasets.
• Collaboration & Mentorship: Guide junior engineers and work with data scientists and other teams.

Skills

Big data technologies

Apache Spark

Apache Airflow

Druid

Trino

StarRocks

Python/Java/Scala

Cloud platforms (AWS/GCP/Azure)

CI/CD/DevOps

SQL proficiency

Education

Bachelor's degree in CS/Engineering

Tools

Spring Boot

Looker

Docker

Kubernetes

Hadoop

Kafka

Job description

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.

What does the team work on?

The Data Insights 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 teams. We work closely with Product Managers, Data Science, Ad Sales, Ads Operations, and multiple groups within Advertising Engineering 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.

What is the role?

We are seeking a highly skilled Senior Software Engineer with deep expertise in big data technologies, including Apache Spark and Apache 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. 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 high‑scale data services and a dedication to delivering exceptional results.

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 Spring Boot to support data products and analytics workflows.
• 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 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.

What experience would help someone be successful in this role at Roku?

• 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.
• 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.
• Advanced SQL skills, with expertise in query optimization for large datasets.
• Exceptional problem‑solving abilities and the capacity to work independently or collaboratively.
• Excellent verbal and written communication skills.
• Experience with cloud platforms such as AWS, GCP, or Azure, and containerization tools like Docker and Kubernetes. (preferred)
• Familiarity with additional big data technologies, including Hadoop and Kafka.
• Experience in AdTech, in advertising data platforms and campaign measurement. (preferred)
• Strong programming skills in Python, Java, or Scala. (preferred)
• Knowledge of CI/CD pipelines, DevOps practices, and infrastructure‑as‑code tools (e.g., Terraform). (preferred)
• Expertise in data modeling, schema design, and data visualization tools.
• Experience with building Agentic AI systems to automate decision‑making and enhance analytics workflows.

What's Roku's approach to hybrid working?

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?

• Global access to mental health and financial wellness support and resources.
• Statutory and voluntary benefits 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. (Note: benefits may differ by location/role.)

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 [e-mail].

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.