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Staff Software Engineer (Batch Infrastructure)

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Posted 12 days ago

Job Type

Full Time

Salary

$84k - $126k

Skills

Python

Kotlin

Summary

  • Affirm's mission is to reinvent credit by making it honest and friendly, allowing consumers to buy now and pay later without hidden fees. The Staff Software Engineer will contribute to building a reliable and scalable compute platform for ML, Product, and Financial Engineering success.

  • Key responsibilities include shaping the direction of the compute Orchestration platform, designing infrastructure systems for new products, improving Batch Infrastructure reliability at scale, and mentoring junior engineers.

  • The role offers opportunities for technical leadership, working with cutting-edge technologies like Spark, Airflow, Kubernetes, Flink, and fostering team growth and efficiency.

Description

Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest.

The vision for the Batch Infra team @ Affirm 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!

What you’ll do

  • 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

What we look for

  • 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.

ESP Grade 31

Min- 83,900

Mid- 104,800

Max- 125,800

We offer a competitive package, with some highlights listed below:

  • 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

We are able to offer visa sponsorship for this role, but do require that someone is based in Spain for the role.

Location - Remote Spain

#LI-Remote

Affirm is proud to be a remote-first company! The majority of our roles are remote and you can work almost anywhere within the country of employment. Affirmers in proximal roles have the flexibility to work remotely, but will occasionally be required to work out of their assigned Affirm office. A limited number of roles remain office-based due to the nature of their job responsibilities.

We’re extremely proud to offer competitive benefits that are anchored to our core value of people come first. Some key highlights of our benefits package include:

  • Health care coverage - Affirm covers all premiums for all levels of coverage for you and your dependents

  • Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses

  • Time off - competitive vacation and holiday schedules allowing you to take time off to rest and recharge

  • ESPP - An employee stock purchase plan enabling you to buy shares of Affirm at a discount

We believe It’s On Us to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process.

[For U.S. positions that could be performed in Los Angeles or San Francisco] Pursuant to the San Francisco Fair Chance Ordinance and Los Angeles Fair Chance Initiative for Hiring Ordinance, Affirm will consider for employment qualified applicants with arrest and conviction records.

By clicking "Submit Application," you acknowledge that you have read the for applicants within the United States, the for applicants applying from Poland, the for applicants applying from Spain, or the for applicants applying from the United Kingdom, and hereby freely and unambiguously give informed consent to the collection, processing, use, and storage of your personal information as described therein.

Perks

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