Senior Staff Software Engineer, Backend (Compute Platform)

New

AffirmFinancial technology

USA base pay range (CA, WA, NY, NJ, CT) per year; USA base pay range (all other U.S. states) per yearFull-TimeStaff

Salary236,000 - 296,000 USD per year

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Job Details

Experience: 10+ years in software or infrastructure engineering; 6+ years hands-on operating production Kubernetes at scale
Required Skills: AWSPythonKubernetesGoTerraform

Bring 10+ years of software or infrastructure engineering experience delivering complex platform solutions.
Have 6+ years of hands-on experience operating production Kubernetes at scale, ideally EKS on AWS.
Demonstrate deep EKS and Kubernetes internals expertise, including upgrades, node lifecycle, scheduling, and autoscaling.
Have strong AWS cloud-native architecture experience, including EC2, VPC, IAM, and EKS.
Use Infrastructure as Code, including Terraform; Spacelift experience is a plus.
Have experience with GitOps-style deployment pipelines, such as ArgoCD or kube-applier.
Demonstrate expert-level Go or Python proficiency and experience building production-grade Kubernetes controllers, operators, and platform tooling.
Understand workload reliability patterns, including resource tuning, probes, PDBs, topology, and isolation constraints.
Have experience designing and enforcing platform standards using admission control, OPA/Gatekeeper, or equivalent.
Demonstrate observability experience defining SLOs, building metrics, logs, and alerting coverage, and running baseline audits.
Show a track record of setting standards across many teams and cross-functional technical leadership.
Have exceptional problem-solving and systems-thinking skills.
Have a related Bachelor’s degree or equivalent practical experience.

Architect and evolve the EKS platform across cluster lifecycle, node management, and shared cluster components.
Lead cluster provisioning, upgrades, and teardown through standardized IaC and self-service workflows.
Own the reliability of shared fleet components and the CI/CD pipeline that ships them.
Define and enforce workload safety standards for resource configuration, isolation, disruption tolerance, and consolidation.
Build automation and enforcement paths to move standards from onboarding to policy-enforced defaults.
Establish observability, baseline audits, and reporting to identify hot spots and measure risk mitigation.
Partner with cluster-user teams to understand workload needs and shape the platform.
Drive cost and capacity strategy across node scaling, bin packing, and EC2 instance selection.
Mentor engineers and set operational excellence standards.
Participate in on-call, triage and catalogue runtime Kubernetes issues, and collaborate with SRE on incidents.

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