Title: Software Engineer
Office Location: Seattle, WA
Work Location: In-Office

Not Available on C2C

Job Summary

The Data Infrastructure team within the client organization powers analytics, experimentation, and ML feature engineering to power SERVICE 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 want 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 SERVICE experience for Client customers.

Description

The 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 the Client's largest data infrastructure supporting millions of SERVICE users at 100+ PB scal
• Scale and operationalize big data technologies like Spark, Kafka, Presto, Flink, and Hadoop in both on-premises 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 engineers.

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 systems such as Spark/Flink/Kafka/Cassandra is helpful but not required.
• Experience with Docker, Bash, K8s services, IAM roles, laC, ext.

Education

• B.S., M.S., or PhD in Computer Science, Computer Engineering, or equivalent practical experience