Staff Software Engineer (Batch Infrastructure)

April 24

Affirm

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We’re excited to announce that Affirm is now a remote-first company$1. !$1

eCommerce • Payments • Installment Loans • Millennials • Financial Services

1001 - 5000

💰 Post-IPO Equity on 2021-01

Description

• 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

• 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 NoSQL 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 PhD in Computer Science, Engineering or a related technical field

Benefits

• 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