Software Engineer, Roku
Analytics
Convenient and affordable TV streaming players
Open for applications
Convenient and affordable TV streaming players
1001+ employees
Open for applications
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
- 2–5 years of backend or full-stack engineering experience, with strong programming skills in Python (Go, Java, or TypeScript also useful)
- A degree in Computer Science, Statistics, Mathematics, Data Science, or a related technical field, or equivalent practical experience combining engineering and analytics
- Strong SQL skills and experience writing complex queries, understanding schemas, partitioning, and common analytics patterns
- Knowledge of statistics and analytical frameworks, including experience supporting or running A/B tests, hypothesis testing, and experimental design
- Experience building or consuming REST APIs, and basic familiarity with cloud infrastructure (AWS/GCP/Azure) and containerization (Docker)
- Ability to build prototypes quickly and iterate based on feedback, with a focus on turning analytical insights into working software
- Familiarity with data tools such as Jupyter notebooks, pandas, or similar data analysis libraries
- Curiosity about LLM infrastructure, including LangChain/LangGraph, RAG patterns, and vector search—or eagerness to learn about building systems that call LLMs in structured, deterministic ways
- Interest in metadata systems, data catalogs, or analytics platforms such as DataHub, DBT, or internal schema registries
- A collaborative, practical mindset, comfortable asking questions, learning from senior engineers, and reasoning about correctness, trust, and safety in AI-assisted systems
- Ability to thrive in exploratory environments where prototypes evolve quickly and requirements shift as we learn from users and the system
What the job involves
- The Advanced Development team invents the next generation of intelligent, generative, and data-driven systems at Roku. We work ahead of production, building prototypes that evolve into the foundations of future Roku products—including agentic LLM services, internal automation platforms, metadata pipelines, and the infrastructure that supports them
- You’ll join a small, high-ownership group working across backend systems, data engineering, LLM tooling, workflow orchestration, and internal developer platforms. It’s a fast-paced, exploratory environment with a mandate to turn promising ideas into working software that delivers measurable value
- We're looking for a software engineer with an analytics background to help build our next-generation intelligent internal tools and data platforms. Your work will empower the organization to turn raw data into actionable intelligence through robust and secure internal tooling
- In this role, you’ll contribute to intelligent internal systems that help teams retrieve and analyze business metrics with speed and confidence
- You’ll work closely with LLM pipelines, metadata platforms, and SQL engines to build reliable, interpretable backend logic. You’ll also collaborate with senior engineers to develop components for our internal tools ecosystem and define how internal APIs can be safely exposed to AI-driven workflows
- Build Data-Driven Applications: Design and develop full-stack web applications (React/Node.js) that translate complex data analyses into interactive executive dashboards and decision-support tools
- Engineer AI & ML Solutions: Integrate LLMs, chatbots, and AI agents into product workflows to automate analytical tasks and extract insights from structured and unstructured data
- Develop Robust Data Infrastructure: Build and maintain scalable data pipelines, APIs, and microservices that power automation, data validation, and real-time reporting systems
- Drive Strategic Experimentation: Collaborate with stakeholders to align engineering initiatives with organizational goals, including designing and executing A/B tests to measure impact and drive product direction
- Cloud Deployment & Scaling: Deploy, scale, and monitor analytical tools and models on cloud infrastructure (AWS/GCP/Kubernetes) to ensure high availability and optimal performance
- Exploratory Analysis & Narrative: Perform exploratory data analysis on emerging trends and communicate technical insights to leadership, converting raw data into clear narratives that drive business consensus
- Engineering Best Practices: Participate in code reviews, contribute to architectural decisions, and maintain high software standards while developing internal tools that support cross-functional business needs
Application process
- Thanks for considering a role at Roku. Take a moment to complete the form below. We ask that you remove any photos from your resume or CV before submitting your application
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.
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