Senior Platform Engineer (Compute Migration)

We're looking for Senior Platform Engineer, specializing in Compute Migration, to lead the strategic effort to migrate all of our existing AWS Lambda and ECS-based workloads to our next-generation Kubernetes platform. This is a high-impact role where you will design, implement, and govern the transition of business-critical, event-based workflows, ensuring they are optimized for performance, cost, reliability, and security within our K8s environment.

This role requires deep expertise in both current (Lambda, ECS) and target (Kubernetes) compute architectures, as well as a strong focus on automation and developer experience.

Define the technical roadmap, migration patterns, and reference architectures for moving Lambda functions and ECS services to our self-managed or managed Kubernetes clusters on AWS EKS.

Develop robust, scalable, and automated solutions for running event-driven, serverless-like workflows on Kubernetes, potentially utilizing technologies like KEDA or similar cloud-native tools.

Use Terraform/Terragrunt and Helm to build and manage the necessary underlying Kubernetes infrastructure, networking, and deployment tooling.

Partner closely with engineering teams to understand their unique workload requirements, provide consultation on re-platforming best practices, and develop standardized tools (e.g., CI/CD pipelines) for easy migration and deployment.

Benchmark migrated services, optimize resource requests/limits, and implement advanced observability (monitoring, logging, tracing) solutions to ensure parity or improvement in service SLOs.

Establish best practices, guardrails, and documentation for running event-based compute on Kubernetes to ensure a smooth transition and sustainable operation post-migration.

8+ years of experience in Platform, Infrastructure, or DevOps Engineering roles, with significant time spent on large-scale compute migrations.

Expert-level proficiency in Kubernetes (design, deployment, operations, networking, security, and scaling).