Sr. Manager , Software Engineering - Data
RokuBengaluru, IndiaPosted 24 February 2026
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.
Roku is the #1 TV streaming platform in the US, 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 with 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 worldwide while gaining meaningful experience across various disciplines.
About the team
Our team’s mission is to build cutting-edge advertising technology to support and help grow sustainable advertising business. The team owns server technologies, reporting infrastructure, data, cloud services, and test engineering for the advertising platforms within Roku. We also work closely with internal and external customers to help them achieve their advertising goals.
About the role
We are looking for an experienced manager to help grow the team, manage priorities, and communicate with stakeholders in an effective way. The role requires excellent communication skills in addition to a strong engineering background.
The ideal candidate will have endless curiosity and can pair a global mindset with locally relevant execution. You should be a gritty problem solver and self-starter who can drive programs with the product and commercial teams within Roku and across external strategic partner organizations. The successful candidate will display a balance of hard and soft skills, including the ability to respond quickly to changing business needs.
What
you’ll
be doing
Help grow the engineering team
Build scalable, resilient, and performant distributed systems for data processing, reporting and analytics
Work across engineering teams, data science, and product management to influence the direction of work and architecture
Communicate with internal stakeholders to inform and influence requirements and delivery
Take complete ownership of impactful initiatives and make pragmatic technical decisions.
Stakeholder management, developing good understanding of advertising business needs, building domain knowledge to understand systems and data better
We’re
excited if you have
15+ years engineering experience working with modern big data technologies: Spark, Airflow, Scala, Java python, relational databases and related technologies
6+ years’ experience leading technical teams and large-scale data processing systems
Experience building, growing and managing teams
Subject matter expertise in advertising and data processing
Solid understanding of data engineering, big data technologies, analytics and data science
Strong communication skills
Self-motivated individual with a high level of accountability and ownership
Critical thinker and practical decision maker
Can do, results-oriented mindset
Nonpolitical, collaborative, and team oriented
Our Hybrid Work Approach
Roku fosters an inclusive and collaborative envi ... (truncated, view full listing at source)
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