Affir​m's engineering team is building a large-scale, highly available, and global infrastructure that is shared across multiple financial products. We pride ourselves on our culture across engineering of engaging in thorough technical design review, operational excellence, and capable incident response and analysis. Affir​m runs its workloads on more than 85 Amazon EKS clusters, and the number is growing. The Workload Safety team creates one set of standards for how workloads are configured and run, so Affir​m can grow globally and still meet its availability and latency SLOs. The team identifies the industry best practices Affir​m needs, drives their adoption across every engineering team on EKS, and enforces them through policy and automation so new workloads comply by default. As a senior engineer on the team, you will help set its roadmap, decide which standards matter most, and build a repeatable way to take each standard from research to enforcement across the fleet. Define and evolve workload safety standards for Affir​m's EKS fleet, such as CPU and memory settings, workload isolation and placement, tolerance for disruption, graceful termination to name a few Own each standard end to end: research and prototyping, white-glove onboarding for early adopters, self-service guidance for everyone else, and automation and policy guardrails that keep every workload compliant from day one Lead cross-team initiatives from design through fleet-wide rollout, mentor other engineers, and set a high bar for design, code review, and operational readiness Fix stuck workloads and node lifecycle problems, such as pods that ignore termination signals, pod disruption budgets that block node cycling,



and Karpenter timeouts that prevent bin packing and the removal of excess capacity Determine the safe operating limits of each cluster (pod count, node count, API server request volume), keep clusters within them, and develop control plane scaling patterns for bursty workloads such as scheduled batch jobs and large deployments Analyze workload resource profiles across the fleet (CPU, memory, disk, network) to guide EC2 instance type strategy, and automate that 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 closely with the teams that run services, batch jobs, and ML workloads on EKS, and with the deployment, capacity, and SRE teams Keep up with new best practices from the Kubernetes community and adapt them to Affir​m's needs 5+ years of experience running Kubernetes in production at scale, ideally Amazon EKS across many clusters ~ 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 (for example, 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 a demonstrated 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 ~ Equity Grade Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affir​m Holdings, Inc. (CAD $153,000
- $213,000. Location
- Remote Canada This remote role is open only to candidates residing in Alberta, British Columbia, Manitoba, Recent Brunswick, Newfoundland and Labrador, Nova Scotia, Ontario, Prince Edward Island, or Saskatchewan. Remote-first with flexibility built in Affir​m is proud to be a remote-first company. Some positions may occasionally require in-person work at an Affir​m office, and a few are office-based due to the nature of the work. Health coverage at no cost: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Flexible time off and generous holiday calendars help you rest when you need to. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help.

📌 Senior Software Engineer, Backend (Victoria)
🏢 Affirm
📍 Victoria