Vacancy expired!
Only U.S. Citizens and those authorized to work in the U.S. can be considered as W2 candidates.Job Title: Data Infrastructure Engineer - CloudLocations: Seattle, WA or Santa Clara, CA (ONSITE FROM START)Start Date: 10/04/2021End Date: 04/04/2022Summary:Data Infrastructure team within the client organization powers analytics, experimentation and ML feature engineering to power client we all love in our client devices. The mission of the Data Infrastructure org is to provide cutting edge, reliable and easy to use infrastructure for ingesting, storing, processing and interacting with data and help the teams that build data intensive applications be successful. The Data Infrastructure team is looking for engineers who wants to bring their passion for infrastructure to build world class infrastructure products. You will build and lead our data infrastructure team and help the members of your team grow both technically and professionally. You will work with many cross functional teams and lead the planning, execution and success of technical projects with the ultimate purpose of improving client experience for client customers.Key Qualifications•Experience managing Kubernetes cluster, or run distributed applications in Kubernetes environment.•Familiar with AWS technologies such as EC2, S3, RDS and IAM.•Fluency in Python, Java, or scripting language.•Ability to debug complex issues in large scale distributed systems•Passion for building infrastructure that is reliable, easy to use and easy to maintain•Excellent communication and collaboration skills•Experience with distributed system such as Spark/Flink/Kafka/Cassandra is helpful but not requiredDescriptionThe ideal candidate will have outstanding communication skills, proven data infrastructure design and implementation capabilities, strong business acumen, and an innate drive to deliver results. He/she will be a self-starter, comfortable with ambiguity and will enjoy working in a fast-paced dynamic environment.Responsibilities will include•Build and operate client's largest data infrastructure supporting millions of client users at 100+ PB scale.•Scale and operationalize big data technologies like Spark, Kafka, Presto, Flink, Hadoop in both on-premise and AWS environment.•Ensure data infrastructure offers reliable high quality data with consistent SLAs with good monitoring, alerting and incident response and continual investment to reduce tech-debt.•Write code, documentation, participate in code reviews, and mentor other engineersEducationB.S., M.S., or PhD in Computer Science, Computer Engineering, or equivalent practical Experience.
Vacancy expired!