The opportunity
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.
What you'll do
Build and scale Affirm's Cache Services on Redis and Valkey, owning cluster: migrations end to end and delivering them in phases against agreed outcomes.
Productionize cache clusters: capacity and shard planning, failover and replication setup, upgrades, and staged rollouts with rollback paths.
Replace manual cache requests (provisioning, config changes, access) with: automated, audited self-service workflows.
Operate the fleet in production: define SLOs, build alerting for hot keys, memory pressure and replication lag, and use on-call findings to reduce KTLO.
Partner with client teams on caching strategy (key design, TTLs, consistency,: client timeouts) and feed fleet data into the team's roadmap.
With the support of your team’s tech lead and manager, you will break down: larger projects into individual tasks, deliver them in multiple phases, and collaborate with others to ensure timely delivery of your work.
What they're looking for
- 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.
- 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.
- Contribute to a sense of community on your team by engaging in growth and: development activities such as participation in the interview process.
- + years of experience as a software engineer.