Senior Software Engineer, Backend (ML Feature Platform)
- Alberta, Canada, British Columbia, Canada, Manitoba, Canada, New Brunswick, Canada, Newfoundland and Labrador, Canada, Nova Scotia, Canada, Ontario, Canada, Prince Edward Island, Canada, Saskatchewan, Canada
- Télétravail
- Publié 19 sept. 2026
- 1 poste
153 000 $–213 000 $ / année
Ouvre un site externe
- Type d’emploi
- Temps plein
- Niveau d’expérience
- Intermédiaire · 4+ ans
- Postuler avant le
- 23 oct. 2026
- Langue de l’offre
- anglais
- Heures de travail
- 40 heures par semaine
- Exigences de lieu
- Country, Regina, Saskatchewan, Canada
- Niveau d’expérience
- Mid-Senior level
Résumé du poste
You will lead the development and delivery of the ML Feature Platform, ensuring high availability and performance for machine learning and decisioning systems. Additionally, you will mentor team members, collaborate with cross-functional stakeholders, and maintain high standards for code quality and system architecture.
Détails du poste
At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. ML Feature Platform is one of the two teams that compose the ML Platform at Affirm, the other team being ML Training & Serving Platform. The two platform teams work closely together to create the ML + Data flywheel that empowers Affirm. ML Feature Platform’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. As the feature platform team, we own multiple artifacts that in aggregate own the end-to-end flows for features. This includes: Feature creation, exploration, and serving Data storage, availability, and visibility Offline backfilling infrastructure and platform improvements This scope means your work will have a direct impact on the everyday lives and capabilities for our end users: MLEs, Analysts, and decisioning teams. Additionally as the primary data source for ML and online decisioning, our platform’s performance is critical to Affirm’s availability and latency goals. We’re looking for engineers who are passionate about ML enablement and believe that platform level improvements can bring snowball effects across the company. What You'll Do You will be responsible for owning and delivering quarterly goals for your team, leading engineers on your team through ambiguity to solve open-ended problems, and ensuring that everyone is supported throughout delivery. You will support your peers and stakeholders in the product development lifecycle by collaborating with product management, design & analytics by participating in ideation, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs. You will proactively identify project, process, technology or business issues, advocate for them, and lead in solving them. You will support the operations and availability of your team’s artifacts by creating and monitoring metrics, escalating when needed, and supporting “keep the lights on” & on-call efforts. You will foster a culture of quality and ownership on your team by setting or improving code review and design standards for your team, and advocating for them beyond your team through your writing and tech talks. You will help develop talent on your team by providing feedback and guidance, and leading by example. What We Look For You have 4+ years of experience designing, developing and launching backend systems at scale using languages like Python or Kotlin. You have a track record of developing highly available distributed systems using technologies like AWS, MySQL and Kubernetes. You have experience defining a technical plan for the delivery of a significant feature or system component with an elegant, simple and extensible design. You write high quality code that is easily understood and used by others. You are proficient at making significant changes in a large code base, and have developed a suite of tools and practices that enable you and your team to do so safely. Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders. You have strong verbal and written communication skills that support effective collaboration with our global engineering team. This posting is for an existing vacancy. Pay Grade - N Equity Grade - 6 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 equity rewards, 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: 153,000 - 213,000 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. Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits Designed For You Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.
Ce que vous ferez
You will lead the development and delivery of the ML Feature Platform, ensuring high availability and performance for machine learning and decisioning systems. Additionally, you will mentor team members, collaborate with cross-functional stakeholders, and maintain high standards for code quality and system architecture.
Exigences
Candidates must have 4+ years of experience in backend systems development using Python or Kotlin and a strong background in distributed systems. Proficiency with AWS, MySQL, and Kubernetes is required, along with excellent communication skills and a track record of technical leadership.
Avantages
• Health coverage • Dental coverage • Vision coverage • Monthly stipends • Flexible time off • Employee stock purchase plan • Equity rewards
Compétences indiquées
- Kubernetes · Souhaitée
- MySQL · Souhaitée
- Mentorship · Souhaitée
- Apprentissage automatique · Souhaitée
- Amazon Web Services · Souhaitée
- Kotlin · Souhaitée
- Python · Souhaitée
Autres compétences pertinentes
Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.
- Python
- Kotlin
- AWS
- MySQL
- Kubernetes
- Backend systems
- Distributed systems
- Machine learning
- Data storage
- System design
- API development
- Technical leadership
- Code review
- Performance optimization
- Mentorship
Domaines d’emploi
- Software
- Technology
- Engineering
- Finance & Accounting
- Data & Analytics
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