Senior Staff Machine Learning Engineer
Core
Lead the design and delivery of complex components and services within the cloud-native platform, owning them from design through production operation.
Role type
Senior Staff Machine Learning Engineer (Distributed Systems & Cloud Native)
Builds
Kubernetes operators, controllers, infrastructure automation, and platform services
Domain
Cloud-native infrastructure, distributed systems, Kubernetes ecosystem
Deliverable
production ML models
Required skills
Kubernetes (Operators, Controllers, CRDs), Go, distributed systems architecture, cloud platforms (AWS/Azure/GCP), CI/CD, GitOps, Infrastructure-as-Code (Terraform/Crossplane), observability, stateful workloads
Preferred skills
container networking (CNI), service mesh, mTLS, secrets management, Apache Kafka, Redis, data formats (Parquet/ORC/Avro)
Responsibilities
Design and deliver complex cloud-native components; act as technical lead for major features; partner with Principal/Distinguished Engineers on architecture; identify and resolve technical risks; maintain hands-on presence in development lifecycle; mentor mid-level and junior engineers
Seniority
Senior Staff, hands-on IC with strategic influence
