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Staff Software Engineer, Backend (Streaming)
Affirm
San Juan de Terranova
Remote
CAD 178,000 - 228,000
Full time
13 days ago

Job summary

A financial technology company is seeking an experienced professional to design and build scalable streaming data infrastructure. This remote role requires deep expertise in Apache Kafka and other stream processing frameworks. You will be responsible for optimizing data pipelines and collaborating with engineering teams to deliver critical business applications. Competitive salary starting from $178,000 to $228,000 annually and generous benefits offered.

Benefits

Health care coverage
Flexible Spending Wallets
Competitive vacation and holiday schedules
Employee stock purchase plan

Qualifications

  • 8+ years of industry experience in building large scale production systems.
  • Strong hands-on experience with Apache Kafka or similar streaming solutions.
  • Experience with relational and NoSQL databases.

Responsibilities

  • Design and build data infrastructure systems to handle new Affirm products.
  • Build and optimize high-throughput, low-latency data pipelines.
  • Collaborate with teams to deliver streaming solutions based on use-cases.

Skills

Apache Kafka
Stream processing frameworks
Python
Java
Kotlin
Data platforms

Tools

Apache Flink
Apache Spark
Kafka Connect
Job description
Overview

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 Streaming team at Affirm forms the backbone of several online and offline workloads at Affirm and drives the strategy for event driven architecture, stream processing, replication, data exploration, discovery and validation. We leverage existing open source technologies like Kafka, Flink, Spark and also build our own as needed to design and build real-time data processing pipelines that handle massive volumes of data across our distributed systems.

As a member of our team you would spend time identifying and executing on new use cases of streaming data infrastructure and frameworks, designing and scaling our existing infrastructure and working closely with other teams to promote the optimal use of data at the company. This role requires deep expertise in stream processing technologies and a passion for building scalable, fault-tolerant data infrastructure.

Key Responsibilities
  • Design and build data infrastructure systems, services and tools to handle new Affirm products and business requirements that securely scale over millions of users and their transactions.
  • Build and optimize high-throughput, low-latency data pipelines for critical business applications
  • 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.
  • Help support the Streaming team that forms the backbone for several online and offline workloads at affirm.
  • Improve the reliability and efficiency of the Data Platform at scale and high availability.
  • Collaborate with other teams at Affirm, including ML and Analytics, to deliver streaming solutions based on various use-cases and best practices
  • Monitor, troubleshoot, and maintain production streaming systems, ensuring high availability and reliability of data systems
What We Look For
  • 8+ years of industry experience in building large scale production systems.
  • Strong hands on experience with Apache Kafka or similar streaming solutions for large-scale event streaming and message queueing
  • Experience building and operating robust and highly available infrastructure.
  • Experience working with data platforms like Snowflake, Glue or Databricks is a plus
  • Experience with Confluent Platform (Schema Registry, Tableflow) is a strong plus.
  • Expertise with at least one stream processing frameworks like Spark, Samza, Flink, Beam etc.
  • Hands-on experience with Kafka Connect, and Kafka Schema Registry components, understanding its underlying functionality and implementation
  • Solid programming skills in Python, Java or Kotlin.
  • Experience with Apache Iceberg table format, CDC (Change Data Capture) tools is a strong plus
  • Knowledge of Relational and NoSQL databases is a plus.
  • Experience leading technical projects and mentoring junior engineers.
  • Exceptionally collaborative with a history of delivering complex technical projects and working closely with stakeholders.
Location and Compensation

Location - Remote Canada

Pay Grade - P

Equity Grade - 7

Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.

Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company).

CAN base pay range per year: $178,000 - $228,000

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.

Benefits

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 Affirm's Global Candidate Privacy Notice and hereby freely and unambiguously give informed consent to the collection, processing, use, and storage of your personal information as described therein.

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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