Senior Staff Software Engineer, Backend (Compute Platform)

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.

Affirm's engineering team is building a large-scale, highly-available, and global infrastructure that is shared across multiple financial products. Ensuring that our infrastructure is accessible to all engineers is critical to the success of the business. We pride ourselves on our culture across engineering of engaging in thorough technical design review, operational excellence, and capable incident response and analysis.

The Compute Platform team owns the EKS foundation that Affirm's products run on, from cluster provisioning and lifecycle through the safety standards that keep thousands of workloads reliable at scale. Affirm operates 90+ EKS clusters across environments and regions, and this team is responsible for making that fleet standardized, automated, observable, and self-healing, while establishing and enforcing the workload configuration standards that protect availability. Our mission is to provide a secure, reliable, and scalable Kubernetes platform that lets infrastructure and application teams deploy and operate with confidence and minimal operational friction.

What you’ll do

As a member of the Compute Platform organization, you will collaborate with other teams - including Product, Infrastructure, Traffic, Cost & Capacity Engineering to:

Architect and evolve Affirm's EKS platform, driving strategy across cluster lifecycle, node management, and shared cluster components

Lead the technical direction for cluster provisioning, upgrades, and teardown through standardized IaC (Terraform, Spacelift) and self-service workflows

Own the reliability of core shared components across the fleet (Karpenter, CoreDNS, VPC CNI, Kube Proxy, Metrics Server, etc) and the CI/CD pipeline that ships them consistently

Define and enforce EKS workload safety standards covering resource configuration, workload isolation and blast radius, disruption tolerance (PDBs), Karpenter consolidation strategies, etc

Build the enforcement and automation path that moves each standard from research and white-glove onboarding through broad adoption to policy-enforced defaults for new workloads

Establish the observability, baseline audits, and reporting needed to identify hot spots and measure risk mitigation over time

Partner with cluster-user teams (checkout, batch, ML, analytics, DevProd, etc) to understand workload needs and shape the platform accordingly

Drive cost and capacity strategy across node scaling, bin packing, and EC2 instance selection

Mentor engineers across the Compute Platform teams and set the bar for operational excellence

Participate in the on-call rotation, triage and catalogue runtime K8s issues, and collaborate with SRE on production incidents

What we look for

Deep EKS and Kubernetes internals expertise, including cluster upgrades, node lifecycle, scheduling, and autoscaling (Karpenter, Cluster Autoscaler)

Demonstrated experience automating Kubernetes operations at fleet scale, from cluster provisioning, upgrades, and node lifecycle to self-healing remediation and policy-driven enforcement, replacing manual toil with auditable, self-service workflows

Strong grasp of workload reliability patterns: resource tuning, probes, PDBs, topology and isolation constraints

Experience designing and enforcing platform standards through policy (admission control, OPA/Gatekeeper or equivalent) and automated frameworks

Infrastructure as Code fluency with Terraform and a GitOps or pipeline-driven delivery model (ArgoCD, kube-applier, or similar)

Observability instincts: defining SLOs, building metrics, logs, and alerting coverage, and running data-driven baseline audits

Cross-functional collaboration skills with platform, product, SRE, and capacity teams

Demonstrated mentorship and technical leadership across teams

Drive to track emerging Kubernetes community best practices and adapt them to Affirm's needs

Qualifications

10+ years in software or infrastructure engineering with proven delivery of complex platform solutions

6+ years hands-on operating production Kubernetes at scale, ideally EKS on AWS

Strong cloud-native architecture experience on AWS (EC2, VPC, IAM, EKS)

Experience with Infrastructure-as-Code (Terraform, Spacelift a plus) and GitOps-style deployment pipelines

Expert-level proficiency in Go or Python and a proven track record building production-grade Kubernetes controllers, operators, and platform tooling that other engineering teams depend on

Track record designing and enforcing standards across many teams without becoming a bottleneck

Exceptional problem-solving and systems-thinking skills

Demonstrated leadership and cross-functional influence

• This position requires either equivalent practical experience or a Bachelor’s degree in a related field.

Base Pay Grade - R

Equity Grade - 15

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.)

USA base pay range (CA, WA, NY, NJ, CT) per year: $265,000 - $325,000

USA base pay range (all other U.S. states) per year: $236,000 - $296,000

#LI-Remote

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.

For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law.