itjobs.ca Logo

Top Benefits

Flexible remote-first compensation
Tech, food, lifestyle spending wallets
Remote work anywhere in home country

About the role

  • The Capacity Modeling team ensures Affirm can safely handle forecasted traffic—especially during peak sales events—by translating demand forecasts into concrete, testable capacity plans
  • They build and maintain statistical capacity models that map traffic inputs (e.g., checkout volume, app opens, batch/job activity) to resource outputs (CPU, memory, connections) and then convert those forecasts into recommended capacity settings such as pod counts, HPA ranges, and/or infrastructure sizing changes across regions and environments
  • The coverage of infrastructure resources includes not only Compute but also infrastructure such as ElasticCache, DynamoDB, AuroraDB, and more
  • You will be responsible for setting technical strategy for your team on a year-long time scale, and help your team tie it together with critical, business-impacting projects
  • You will collaborate across teams in the product development lifecycle by collaborating with product management, design & analytics to ensure technical sustainability, risks and trade-offs are well understood and managed
  • You will act as a force-multiplier for your team through your definition and advocacy of technical solutions and operational processes
  • You take ownership of your team’s operations and availability by ensuring you have the right monitoring, triage rotations, playbooks, policies, testing and alerting in place to support “keep the lights on” & on-call efforts
  • You will foster a culture of quality and ownership on your team by setting 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

Benefits

  • Compensation: We have a simple, flexible, and transparent remote-first compensation structure so you can make the best decisions for yourself and your family
  • Spending Wallets: Access tech, food, lifestyle, and family planning wallets for your expenses
  • Supportive Communities: Get involved with our employee resource groups and community groups
  • Remote-first Workforce: If your role is remote, you can set up shop anywhere in your home country
  • Generous Time Off: Take the time you need when life happens
  • Health Benefits: Get a plan that fits your needs
  • Mental Healthcare: Take care of your mind with great mental health programs
  • Parental Leave: Birth and non-birth parents get 18 weeks’ paid leave. Plus, a 4-week return-to-work transition program, at full base pay
  • Away Days: We offer 20 company-wide paid days off—which help our teams collectively pause to recharge
  • Learning & Development: Engage in exciting learning programs to level up your growth- You have 8+ years of experience designing, developing and launching backend systems at scale using languages like Python or Kotlin
  • Your growth and impact trajectory demonstrates that you have mastered gathering and iterating on feedback from your engineering and cross-functional peers
  • You thrive in ambiguity, and are comfortable moving from low level language idioms all the way to the architecture of large systems to understand how they work
  • You have experience delivering major features, system components or deprecating existing functionality in a system through the definition of a technical and execution plan. You write high quality code that is easily understood and used by others
  • You have strong verbal and written communication skills that support effective collaboration with our global engineering team
  • You have an extensive track record of developing highly available distributed systems using technologies like AWS, MySQL, Spark and Kubernetes
  • You have experience supporting scale up and down of large scale sales event such as Prime Day, Black Friday Cyber Monday, or other sales holidays
  • You have tuned autoscaling, CPU/Memory, and multi-threading for compute type workloads

About Affirm

Financial Services