Senior Platform Engineer I

Wrapbook is the AI platform for production finance. We’re building a system of action that puts finance teams in control of their whole production, from payroll, to spend, to accounting.

Built for feature films, TV, and commercials, Wrapbook is trusted by teams at Netflix, Paramount, Anonymous Content, and more. With backing from Andreessen Horowitz, Bessemer Venture Partners, and Jeffrey Katzenberg's WndrCo, our team of 350+ is using AI to transform how finance teams work and empower them to do more with less.

Wrapbook is looking for a Senior Platform Engineer I who will play a hands-on role in driving our mission to build an outstanding technology company. You will be working as part of a cross-functional team, collaborating with product, security, and analytics engineers to build and strengthen our internal developer and data platforms.

The Platform team is responsible for enabling Wrapbook to easily deliver a stable, secure, reliable and performant product to its customers.

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  Own the observability, logging and alerting for Kubernetes clusters and critical workloads.

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  Build and maintain automation for the lifecycle management of Kubernetes clusters: provisioning, scaling, and upgrades.

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  Own infrastructure cost-optimization workstreams: right-sizing, workload scheduling, and identifying waste in Kubernetes clusters.

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  Partner directly with engineering teams to shape infrastructure decisions from design through deployment.

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  Identify and root-fix reliability bottlenecks before they become incidents.

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  Participate in on-call rotation to swiftly resolve issues related to any disruption to the services provided to our users.

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  Lead incident response, root-cause analysis, and blameless postmortems for platform issues.

• 5+ years in platform, infrastructure, or SRE roles, including running Kubernetes in production at scale and handling day-two operations such as troubleshooting, upgrades, and scaling.

• Familiarity with a major cloud provider (AWS, GCP or Azure).

• Hands-on experience with Kubernetes cluster autoscaling and workload scheduling systems (Karpenter, Cluster AutoScaler)

• Proficiency in infrastructure-as-code systems such as Terraform, Crossplane, Pulumi, or equivalent tools.

• Hands-on experience with observability frameworks such as OpenTelemetry, Prometheus, and eBPF.

• Familiarity with GitOps-based delivery and tools such as Argo CD and Kargo

• Proficient in managing and deploying Kubernetes applications using tools such as Kustomize and Helm

• Solid knowledge of Linux systems including low level fundamentals.

• A firm grasp of web and network protocols and standards (HTTP, TLS, DNS etc).

• Strong programming skills in at least one modern programming language, beyond basic scripting (Go, Python, Ruby).

• An AI-centric workflow - you are comfortable using AI as a real collaborator in your work.

• Experience with multi-region deployments on AWS or other cloud provider.

• Deep knowledge of Kubernetes internals and/or the Kubernetes ecosystem, e.g., operators, CNIs, and service meshes.

• Exposure to or experience with operationalizing canary infrastructure.

Wrapbook pledges to be a harassment- and discrimination-free space for everyone, regardless of age, disability, ethnicity, gender identity or expression, nationality, neurotype, personal appearance, political affiliation, professional background, race, religion, or sexual identity or orientation.

Have we got your attention? Submit your application today and a member of our Talent team will be in touch with you shortly!

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