Senior DevOps Software Engineer, Roku
Data Platform
$186-340k
+ Equity awards
Convenient and affordable TV streaming players
Be an early applicant
Convenient and affordable TV streaming players
1001+ employees
Be an early applicant
$186-340k
+ Equity awards
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
- Bachelor’s degree, or equivalent work experience
- 8+ years of experience in DevOps or Site Reliability Engineering
- Experience with Cloud infrastructure such as Amazon AWS, Google Cloud Platform (GCP), Microsoft Azure, or other Public Cloud platforms. GCP is preferred
- Experience with at least 3 of the technologies/tools mentioned here: Big Data / Hadoop, Kafka, Spark, Airflow, Presto, Druid, Opensearch, HA Proxy, or Hive
- Experience with Kubernetes and Docker
- Experience with Terraform
- Strong background in Linux/Unix
- Experience with system engineering around edge cases, failure modes, and disaster recovery
- Experience with shell scripting, or equivalent programming skills in Python
- Experience working with monitoring and alerting tools such as Grafana or PagerDuty, and being part of call rotations
- Experience with Chef, Puppet, or Ansible
- Experience with Networking, Network Security, and Data Security
- AI literacy and curiosity. You have either 1) tried Gen AI in your previous work or outside of work, or 2) are curious about Gen AI and have explored it
What the job involves
- Roku runs one of the largest data lakes in the world. We store over 70 petabytes of data, run more than 10 million queries per month, and scan over 100 petabytes of data per month
- The Big Data team is the one responsible for building, running, and supporting the platform that makes this possible
- We provide all the necessary tooling to acquire, generate, process, monitor, validate, and access data in the lake for both streaming and batch data
- We are also responsible for generating the foundational data
- The systems we provide include Scribe, Kafka, Hive, Presto, Spark, Flink, Pinot, and others
- The team is actively involved in Open Source, and we are planning to increase our engagement over time
- We are seeking a skilled engineer with exceptional DevOps skills to join our team. Responsibilities include automating and scaling Big Data and Analytics technology stacks on Cloud infrastructure, building CI/CD pipelines, setting up monitoring and alerting for production infrastructure, and keeping our technology stacks up to date
- Develop best practices around cloud infrastructure provisioning, disaster recovery, and guiding developers on the adoption
- Scale Big Data and distributed systems
- Collaborate on system architecture with developers for optimal scaling, resource utilization, fault tolerance, reliability, and availability
- Conduct low-level systems debugging, performance measurement & optimization on large production clusters and low-latency services
- Create scripts and automation that can react quickly to infrastructure issues and take corrective actions
- Participate in architecture discussions, influence product roadmap, and take ownership and responsibility over new projects
- Collaborate and communicate with a geographically distributed team
Application process
- 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
- Free snacks and access to the company fitness center
Company HQ
Newhall, San Jose, CA
Leadership
Anthony Wood
(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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