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Roku

Senior Software Engineer, DevOps - Data Platform

Reposted 16 Days Ago
In-Office
Boston, MA
Senior level
In-Office
Boston, MA
Senior level
The role involves automating Big Data stacks on Cloud infrastructure, building CI/CD pipelines, monitoring, and collaborating on system architecture for enhanced performance and reliability.
The summary above was generated by AI
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.


About the Team 

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.
   

About the Role 

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. 

What you'll be doing:
  • 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 
  
We're excited if you have: 
  • 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 and 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.
#LI-SR2
Benefits

Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Our employees can take time off work for vacation and other personal reasons to balance their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.


The Roku 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.

By providing your information, you acknowledge that you have read our Applicant Privacy Notice and authorize Roku to process your data subject to those terms.

Top Skills

Airflow
Ansible
AWS
Azure
Chef
Docker
Druid
GCP
Grafana
Ha Proxy
Hadoop
Kafka
Kubernetes
Linux
Opensearch
Pagerduty
Presto
Puppet
Python
Spark
Terraform

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