Platform Engineer (Senior, Staff, or Principal level)

Strong software engineering background with production-quality Python, Typescript, or Go code. Experience building developer productivity tooling (SDKs, CLI tools, CI/CD pipelines, internal dashboards, preview envs). Practical Kubernetes fluency; able to design and debug workloads and tune autoscaling. Hands-on with Kubernetes + workflow platforms (Argo Workflows, Airflow, Prefect, Temporal, etc.). Proficient with infrastructure-as-code and containerization (Docker, Terraform preferred). Solid grounding in cloud infrastructure (AWS preferred) including compute, storage, networking, IAM, and cost controls. Familiarity with observability stacks (Prometheus, Grafana, Loki/Tempo/OTel). Comfort operating in high-scale, compute-intensive environments (e.g. ML training, batch/parallel workloads). Bias toward building paved roads and abstractions that make other engineers faster.

Build developer-facing tooling, SDKs, and wrappers to abstract Kubernetes and infra details. Design and harden CI/CD pipelines with faster feedback and preview environments. Deliver cost, reliability, and performance dashboards for engineers and leadership. Partner with engineering teams to codify repeatable workflow patterns into libraries and templates. Play a central role in rebuilding the workflow orchestration platform. Build language-native wrappers and tooling for workflow features. Implement secure systems for secrets management, auditability, and least-privilege. Help define and enforce SRE practices like incident response and SLIs/SLOs. Shape Platform team standards, processes, and culture.