Platform Engineer

Who You Are We’re looking for a Platform Engineer who is excited to learn and help build the infrastructure that enables our engineering teams to ship software reliably at scale. This role is ideal for someone who enjoys solving technical problems and wants to grow their skills in cloud infrastructure, automation, and system design. You’ll work closely with experienced engineers to develop, maintain, and improve our platform. Along the way, you’ll gain hands-on experience writing code, supporting production systems, and learning best practices for building reliable and scalable infrastructure. Success in this role comes from curiosity, a willingness to learn, and comfort working in evolving environments. You don’t need to have all the answers, but you should be eager to ask questions, take on challenges, and help improve how things are done. As our systems grow, you’ll help turn manual or ad hoc processes into more structured, repeatable solutions. We’re looking for someone who is motivated to build a strong foundation in platform engineering and grow into designing systems that support both current needs and future scale. What You’ll Do Design, deploy, and operate Kubernetes clusters (EKS or self-managed) on AWS, ensuring high availability and security Build and maintain CI/CD pipelines and internal developer tooling to improve engineering velocity Automate infrastructure provisioning and operational tasks using Python and tools like Terraform, OpenTofu, and Ansible Define and enforce platform standards around observability, cost management, and incident response 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) Strong AWS knowledge across core services — EC2, EKS, IAM, VPC, S3, RDS, and related tooling Proficiency in Python for scripting, automation, and building internal tools Familiarity with infrastructure-as-code practices (Terraform, OpenTofu, and Ansible) A collaborative mindset and comfort working in a fast-moving environment Knowledge of multi-account AWS strategies, AWS Organizations, and landing zone patterns for enterprise-scale environments Nice to Haves 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 Falco, Trivy, 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