Affirm's Capacity Modeling team ensures the platform can handle forecasted traffic during peak sales events by building statistical models that translate demand forecasts into concrete capacity plans. You'll set technical strategy for infrastructure scaling across compute, caching, and databases.
You have 8+ years of experience designing, developing and launching backend systems at scale using languages like Python or Kotlin
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
You have experience delivering major features, system components or deprecating existing functionality through a technical and execution plan
You thrive in ambiguity, and are comfortable moving from low level language idioms to architecture of large systems
Your growth and impact trajectory demonstrates mastery of gathering and iterating on feedback from engineering and cross-functional peers
You have strong verbal and written communication skills for effective collaboration with global engineering team
You will be responsible for setting technical strategy for your team on a year-long time scale
You will collaborate across teams in the product development lifecycle with product management, design and analytics
You will act as a force-multiplier for your team through definition and advocacy of technical solutions and operational processes
You take ownership of your team's operations and availability with monitoring, triage rotations, playbooks, policies, testing and alerting
You will foster a culture of quality and ownership by setting code review and design standards and advocating through writing and tech talks
You will help develop talent on your team by providing feedback and guidance, and leading by example
The Capacity Modeling team ensures Affirm can safely handle forecasted traffic during peak sales events
They build statistical capacity models that map traffic inputs to resource outputs like CPU, memory, and connections
Coverage includes Compute, ElasticCache, DynamoDB, AuroraDB, and more infrastructure resources
Pay Grade is P and Equity Grade is 7
Employees new to Affirm typically come in at the start of the pay range
Affirm focuses on simple and transparent pay structure based on location, experience and job-related skills
Base pay is part of total compensation package with monthly stipends for health, wellness and tech spending
This posting is for an existing vacancy
Affirm is proud to be a remote-first company with majority of roles remote
Affirmers in proximal roles have flexibility to work remotely but occasionally required to work from assigned office
186,368 – 223,642 CAD
/ year
184,000 – 356,500 USD
/ year
168,000 – 304,750 USD
/ year
124,000 – 195,500 USD
/ year
135,482 – 227,700 USD
/ year