Staff Software Engineer - Warsaw, Polska - Affirm

    Affirm
    Affirm Warsaw, Polska

    2 tygodnie temu

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    W pełnym wymiarze godzin
    Opis

    Technologies-expected : Apache Spark Apache Airflow Kubernetes Flink Beam technologies-optional : Python Kotlin AWS about-project : The vision for the Batch Infra team is to provide reliable, scalable, self-serve and Affirm-optimized compute solution to enable ML, Product, and Financial Engineering success.


    Our team is responsible for building and maintaining a compute platform that serves as a backbone for processing various Business critical batch workloads at Affirm through a wide suite of scheduled and on-demand compute solutions built on the cloud.

    Affirm is growing rapidly and so is the need for reliable and high availability frameworks.


    If solving infrastructure challenges at scale excites you, come join us responsibilities : Shape the technical direction, strategy, and roadmap of compute Orchestration platform which comprises Batch and Streaming Infra.


    Design and build infrastructure systems, services, and tools to handle new Affirm products and business requirements that securely scale over millions of users and their transactions.


    Build frameworks and services which will be used by other engineering teams at Affirm to manage billions of dollars in loans and power customer experiences.

    Improve the reliability and efficiency of the Batch Infrastructure at scale and high reliability.


    Engage other teams at Affirm about their use of the Batch and Streaming Infrastructure to ensure we are always building the right thing.


    Take an active role in mentoring junior engineers, and the processes that support team growth and efficiency requirements-expected : Strong sense of ownership with a proven track record of successfully driving large cross-functional technical programs.

    Experience building and owning large-scale, geographically distributed compute, and data processing systems.

    Experience building and owning large-scale stream processing systems.

    Experience with Spark, Airflow, Kubernetes, Flink, Beam and other open-source technologies.

    Experience with or working knowledge for efficiently scaling Kubernetes for Spark and other types of batch workloads.

    Skilled at developing and debugging in Python/Kotlin or the ability to learn them quickly (Python/Kotlin).

    Working knowledge of Relational and No SQL databases.

    Experience with AWS and/or other cloud providers.

    Technical leadership; capable of handling mentorship, cross functional project execution, and solid individual contribution.

    Demonstrated ability to deliver on complex technical projects by collaborating closely with stakeholders.

    Eager to learn new things and have a growth mindset.

    Well-developed interpersonal, written and verbal communication.

    Experience working in the data infrastructure domain.

    BS, MS or Ph D in Computer Science, Engineering or a related technical field.

    offered :
    Flexible Spending Wallets for tech, food and lifestyle.

    Generous time off policies.

    Away Days - wellness days to take off work and recharge.

    Learning & Development programs.

    Parental leave.

    Robust health benefits.

    Employee Resource & Community Groups.

    This role is eligible for creative tax benefits, subject to applicable law and company policy.