Job description

Location: Herndon, VA (Remote) Type: Full-time Who You Are We're looking for a Platform Engineer to help build and maintain the infrastructure that empowers our engineering teams to ship software reliably at scale. This is a role for someone who is equally comfortable diving deep into technical problems and stepping back to lead, mentor, and influence across teams. You'll play a central role in shaping the direction of our platform; not just by writing great code and building robust systems, but by setting technical standards, guiding architectural decisions, and helping grow the engineers around you. Being successful starts with being able to thrive in environments undergoing maturity transformation; embracing ambiguity, driving process improvements, and turning ad hoc practices into scalable, repeatable engineering standards. Understanding what it takes to build platforms not just for today's demands, but for the next order of scale, designing systems and team practices with future growth in mind. What You’ll Do Design, deploy, and operate Kubernetes clusters (EKS or self-managed) on AWS, ensuring high availability and security Build and maintain GitHub Workflows and internal developer tooling to improve engineering velocity Automate infrastructure provisioning and operational tasks using Python and tools like Terraform, OpenTofu, and Helm Define and enforce platform standards around observability, cost management, resource scaling, and proactive incident management Partner with application teams to support containerized workloads and resolve infrastructure bottlenecks Collaborate with Customer Success teams by providing reliable and scalable tooling that supports seamless customer onboarding, integrations, and service delivery What We’re Looking For Solid hands-on experience with Kubernetes (cluster administration, Helm, RBAC, networking, etc) Proficiency in Python or similar for scripting, automation, and building internal tools Familiarity with infrastructure-as-code practices (Terraform, OpenTofu, and Helm) A collaborative mindset and comfort working in a fast-moving environment Familiarity of multi-account AWS strategies, AWS Organizations, and landing zone patterns for enterprise-scale environments Experience with multi-tenancy patterns Experience in Our Stack Experience with service meshes (Istio) for managing microservice communication, traffic policies, and mutual TLS GitOps workflows using ArgoCD or Flux for declarative, version-controlled infrastructure and application delivery Exposure to container security tooling such as Falcon, Grype/Syft, or similar and OPA or Kyverno for policy enforcement and vulnerability scanning Experience with observability stacks like Prometheus, Grafana, or the ELK/OpenSearch stack for metrics, logging, and distributed tracing across multiple Kubernetes Clusters Strong knowledge of integrating Kubernetes with AWS Services (e.g. vpc-cni, external-secrets, ALB Ingress, Security Groups, etc)

Requirements

Must-haves

Location: Herndon, VA (Remote) Type: Full-time
What You’ll Do
Design, deploy, and operate Kubernetes clusters (EKS or self-managed) on AWS, ensuring high availability and security
Build and maintain GitHub Workflows and internal developer tooling to improve engineering velocity
Automate infrastructure provisioning and operational tasks using Python and tools like Terraform, OpenTofu, and Helm
Define and enforce platform standards around observability, cost management, resource scaling, and proactive incident management
Partner with application teams to support containerized workloads and resolve infrastructure bottlenecks
Collaborate with Customer Success teams by providing reliable and scalable tooling that supports seamless customer onboarding, integrations, and service delivery
What We’re Looking For
Solid hands-on experience with Kubernetes (cluster administration, Helm, RBAC, networking, etc)
Proficiency in Python or similar for scripting, automation, and building internal tools
Familiarity with infrastructure-as-code practices (Terraform, OpenTofu, and Helm)
A collaborative mindset and comfort working in a fast-moving environment
Familiarity of multi-account AWS strategies, AWS Organizations, and landing zone patterns for enterprise-scale environments
Experience with multi-tenancy patterns
Experience in Our Stack
Experience with service meshes (Istio) for managing microservice communication, traffic policies, and mutual TLS
GitOps workflows using ArgoCD or Flux for declarative, version-controlled infrastructure and application delivery
Exposure to container security tooling such as Falcon, Grype/Syft, or similar and OPA or Kyverno for policy enforcement and vulnerability scanning
Experience with observability stacks like Prometheus, Grafana, or the ELK/OpenSearch stack for metrics, logging, and distributed tracing across multiple Kubernetes Clusters
Strong knowledge of integrating Kubernetes with AWS Services (e.g. vpc-cni, external-secrets, ALB Ingress, Security Groups, etc)

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Keywords to mirror

kubernetesawspython

Platform: greenhouse
Effort: quick

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