Senior Software Engineer, Roku
AI Automation
$141.3-360.7k
+ Equity
More information about location
4 days a week in office (San Jose, CA)
Convenient & affordable TV streaming players
Be an early applicant
Convenient & affordable TV streaming players
1001+ employees
Be an early applicant
$141.3-360.7k
+ Equity
More information about location
4 days a week in office (San Jose, CA)
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
- 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're looking for curious, adaptable builders who can show how they've used AI for automation to move faster, raise the bar, and scale their impact
- We value your AI skills if you have built fluency across the agentic engineering toolchain — coding harnesses like Claude Code or Cursor, MCP servers, custom skills, or agent frameworks. And you can describe projects where you shipped real work with these tools. You know how to drive an agent, verify its output, and ramp on an unfamiliar codebase with an agent helping you
- 5+ years of experience in software testing and automation, software engineering, or adjacent domains, with strong software engineering fundamentals and the ability to build production-grade systems
- Expertise in Python or Java with familiarity in the other; experience with C/C++ or another systems language is a plus
- Experience designing test plans, test cases, and automated test frameworks for APIs, services, and data pipelines
- Hands-on experience with LLM-based systems, including prompt design, retrieval, tool use, memory handling, and agent orchestration patterns
- Experience building and maintaining retrieval and context pipelines, agent frameworks, and MCP servers or equivalent function-calling architectures
- Experience with CI/CD tooling such as GitLab runners, GitHub Actions, Jenkins, or Travis CI
- Experience with cloud platforms — AWS (preferred), GCP, or Azure — REST APIs, and containerization and orchestration tools such as Docker and Kubernetes
- Experience with infrastructure as code: Terraform or CloudFormation
- Working knowledge of Linux and Bash scripting
- Experience with observability, evaluation, experimentation, and feedback loops for AI systems in production, including monitoring tools such as DataDog, Prometheus, or Grafana
- Ability to work independently, manage ambiguity, move quickly, and deliver incrementally in a fast-paced environment
- Strong analytical and problem-solving skills, excellent communication and collaboration skills, and sound engineering judgment
- Bachelor's or master's degree in Computer Science, Computer Engineering, Electrical Engineering, Data Science, or a related technical field — or equivalent engineering experience
What the job involves
- We're looking for a hands-on, systems-oriented Senior Software Engineer in Test (Sr. SDET) to join our Browse and Discovery Team
- You'll own quality for the APIs and data pipelines — the automated test frameworks, containerized quality checks, CI/CD workflows, and infrastructure as code that let the rest of the organization ship with confidence
- You'll do that work with agentic AI as your default mode of working: driving agents to write and maintain integration tests, keep suites healthy, triage failures, and debug production issues, and building the tools, harnesses, and evaluations that make those workflows trustworthy
- This is a role for someone who treats agent design as an engineering discipline — grounding agents in the right context, integrating them with the systems they act on, proving them reliable through rigorous automation and evaluation, and turning what works into the reusable components and paved paths other teams at Roku build on
- Design and develop automated test frameworks for APIs and data pipelines, and containerize automated quality checks for complex orchestrated services
- Use agentic AI workflows day to day — authoring and maintaining integration tests, keeping test suites healthy, triaging failures, and debugging production issues
- Build the context and retrieval pipelines that ground these agents in the right code, schemas, telemetry, and business logic, and keep them aligned as those sources evolve
- Implement tool-calling and MCP-style integrations so agents can safely act on the systems around them — test runners, CI, ticketing, logs, and data services
- Build and maintain CI/CD workflows and infrastructure as code using Terraform or CloudFormation, so deployments and test execution are repeatable and auditable
- Establish evaluation, observability, and monitoring for the signals that matter here: test reliability and flake rate, mean time to triage, agent task success rate, latency, and cost
- Build safeguards that improve production readiness and reliability — controlled rollouts, drift detection, and mechanisms that prevent error amplification in multi-step agent workflows
- Create reusable templates, modular components, and paved-path patterns that accelerate adoption across teams, and partner with development, data engineering, and product teams to improve end-to-end testing and release processes
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. Then, after successful collaborations with TCL and Hisense, the first in-house "Roku Television" was released. In 2026, it was announced that media giant FOX would acquire Roku, which the companies say will create the third largest player in US TV by share of viewing.
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
- Free snacks and access to the company fitness center
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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