Senior Software Engineer, Backend (ML Feature Platform)
Primary stack
Job description
About the Position
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.
We are seeking a Senior Software Engineer, Backend for our ML Feature Platform team. The ML Feature Platform is one of the two teams that compose the ML Platform at Affirm. The team's mission is to grow Affirm’s business by building a delightful, self-serve platform for developing and serving data for machine learning and decisioning.
Responsibilities
- Own and deliver quarterly goals for your team, leading engineers through ambiguity to solve open-ended problems.
- Support peers and stakeholders in the product development lifecycle by collaborating with product management, design, and analytics.
- Proactively identify and solve project, process, technology, or business issues.
- Support the operations and availability of your team’s artifacts by creating and monitoring metrics.
- Foster a culture of quality and ownership on your team by setting or improving code review and design standards.
- Help develop talent on your team by providing feedback and guidance, and leading by example.
Requirements
- 4+ years of experience designing, developing, and launching backend systems at scale using languages like Python or Kotlin.
- Experience developing highly available distributed systems using technologies like AWS, MySQL, and Kubernetes.
- Experience defining a technical plan for the delivery of a significant feature or system component with an elegant, simple, and extensible design.
- Proficiency at making significant changes in a large code base and developing a suite of tools and practices that enable safe changes.
- Strong verbal and written communication skills.
We Offer
- Competitive base pay range per year: 153,000 CAD - 213,000 CAD.
- Comprehensive benefits package including health care coverage, flexible spending wallets, time off, and an employee stock purchase plan (ESPP).
- Opportunity to work remotely with flexible work arrangements.
About the Company
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. We’re extremely proud to offer competitive benefits that are anchored to our core value of people coming first.
Application
This remote role is open only to candidates residing in Alberta, British Columbia, Manitoba, New Brunswick, Newfoundland and Labrador, Nova Scotia, Ontario, Prince Edward Island, or Saskatchewan.
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.
[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.
We’re committed to providing 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.
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Financial Services
About the Company Affirm’s mission is to deliver honest financial products that improve lives. The company aims to build a new kind of payment network based on trust, transparency, and prioritizing people. This approach empowers millions of consumers to spend and save responsibly. Products, Services & Tech Stack Core Solutions: Financial products designed to improve consumer lives through responsible spending and saving. Project Scope & Target Clients Client Base: The specific target verticals or client types served are not mentioned in the provided text. Engineering Scale: The scope and complexity of engineering projects are not mentioned in the provided text.
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