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Affirm

Finances purchases with installment payment plans

Senior Software Engineer - Backend, Workload Safety

Backend EngineeringConfirmed live in the last 24 hours
Full-timeRemote in USARemote

About the Job

Requirements

  • At least 5 years of experience running Kubernetes in production at scale, ideally Amazon EKS across many clusters.
  • Deep understanding of Kubernetes resource management and scheduling, including requests and limits, out-of-memory and CPU throttling behavior, affinity and anti-affinity, taints and tolerations, and topology spread constraints.
  • Solid grasp of the pod lifecycle and disruption management, including graceful termination, pod disruption budgets, and node draining.
  • Experience enforcing configuration standards through admission control and policy-as-code, such as OPA Gatekeeper or Kyverno.
  • Proficiency in Go or Python, including building production infrastructure software such as Kubernetes controllers, operators, or admission webhooks.
  • Strong production debugging skills and the ability to turn recurring incidents into systemic fixes.
  • Track record of leading technical initiatives across multiple teams, driving adoption of shared standards, and mentoring other engineers.
  • Experience quantifying the impact of infrastructure changes on availability, latency, and cost.
  • Strong written communication, including creating standards and guidance that teams can adopt independently.

Responsibilities

  • Define and evolve workload safety standards for Affirm's EKS fleet, including CPU and memory settings, workload isolation and placement, disruption tolerance, and graceful termination.
  • Own each standard end to end, from research and prototyping through early-adopter onboarding, self-service guidance, automation, and policy guardrails that keep workloads compliant by default.
  • Lead cross-team initiatives from design through fleet-wide rollout, mentor engineers, and set expectations for design, code review, and operational readiness.
  • Isolate workloads by criticality and resource profile to prevent misbehaving workloads from degrading critical paths such as checkout.
  • Resolve stuck workloads and node lifecycle problems, including pods that ignore termination signals, pod disruption budgets that block node cycling, and Karpenter timeouts that prevent bin packing and excess-capacity removal.
  • Determine safe cluster operating limits for pod count, node count, and API server request volume; keep clusters within those limits and develop control-plane scaling patterns for bursty workloads such as scheduled batch jobs and large deployments.
  • Analyze workload resource profiles across CPU, memory, disk, and network to guide EC2 instance-type strategy, and automate the analysis as workloads change.
  • Measure each standard's impact on availability, latency, risk, and cost, and use the results to prioritize the roadmap.
  • Participate in on-call for Kubernetes runtime issues across the fleet and turn recurring failure patterns into roadmap items.
  • Work with teams running services, batch jobs, and machine-learning workloads on EKS, as well as deployment, capacity, and SRE teams.
  • Track Kubernetes community best practices and adapt them to Affirm's needs.

About the Company

Affirm

Finances purchases with installment payment plans

Affirm finances purchases for shoppers and runs a payment network that lets retailers add installment plans to online and in-store checkout. Its partnership with Shopify powers Shop Pay Installments, while the Affirm Card lets eligible users choose to pay in full or split a purchase into payments. Customers apply at checkout or through the app, choose an approved payment schedule, and track their balances and repayments in one place. The business earns fees from merchants and interest on some loans, and also sells loans to investors and earns fees for servicing them. Affirm was founded in 2012 and has its headquarters in San Francisco, California.

Company size
1,001-5,000
Company stage
IPO
Headquarters
San Francisco, CA
Founded
2012

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