Infrastructure Software Engineer for 3+ month contract at Global Device Company in Cupertino, CA - California, United States - OSI Engineering

    OSI Engineering
    OSI Engineering California, United States

    2 weeks ago

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    Description

    Job Summary:

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

    Responsibilities:

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

    Preferred Qualifications:

    • Experience with distributed system such as Spark/Flink/Kafka/Cassandra

    Location: 100% Remote

    Type: 3+ month contract

    • Hourly Range: $75.00/hr - $85.00/hr (DOE)