Staff Platform Engineer: Kubernetes-native AI Platform

Shield; San Diego (CA); Sur place; USD 180 000 - 240 000; Plein temps

Résumé du poste

Shield AI is seeking a Staff Platform Engineer to shape the Forge Platform powering autonomous workloads. You will architect and implement production software, build reusable platform components, and partner with autonomy, ML, simulation, test, and infra teams to improve reliability and scalability.

You will lead the design of platform services, ensure high availability, and drive portability across cloud, on-prem, and edge environments, while balancing developer productivity and long-term

Qualifications

• Significant experience designing and operating production distributed systems or cloud-native platforms.
• Strong software engineering skills with production Go and Python experience.
• Deep understanding of distributed systems concepts: failures, retries, ordering, state management, and fault tolerance.
• Experience designing or operating workflow orchestration and long-running services.
• Ability to define architecture and technical standards while remaining hands-on in implementation and troubleshooting.
• Clear technical communication for both specialists and downstream users.

Responsabilités

• Build Kubernetes-native platform services, controllers, and deployment patterns to support distributed workloads across environments.
• Design reusable primitives for authoring, scheduling, and scaling pipeline work.
• Develop data-processing infrastructure for storage, ingestion, validation, transformation, and governance.
• Create extensible platform components with standardized tooling for auth, observability, networking, and secret management.
• Define reference architectures and deployment patterns across cloud, on-prem, edge, and air-gapped setups.
• Advance observability with metrics, logs, traces, dashboards, and runbooks for workflows and pipelines.
• Collaborate with autonomy, ML Ops, simulation, test, infrastructure, product, and customer teams to turn recurring problems into reusable platform capabilities.

Connaissances

Go

Python

Distributed systems

System design

Observability

Outils

Kubernetes

OpenTelemetry

Prometheus

Description du poste

Shield AI is seeking a Staff Platform Engineer to shape the Forge Platform powering autonomous workloads. You will architect and implement production software, build reusable platform components, and partner with autonomy, ML, simulation, test, and infra teams to improve reliability and scalability.

You will lead the design of platform services, ensure high availability, and drive portability across cloud, on-prem, and edge environments, while balancing developer productivity and long-term