Sr. Cloud Software Engineer

Supermicro•San Jose, CA

17h

About The Position

Ready to Technically Lead the automation engine behind next-generation AI infrastructure? We’re hiring a Staff Engineer to lead the design and delivery of SuperCloud Automation Center (SCAC) — the platform powering enterprise-grade automation from firmware to full-scale AI workloads across data center and edge environments. This is a high-impact, highly visible role where you’ll shape secure, scalable cloud architectures, guide customers from concept to production, and define the patterns that enable AI infrastructure at global scale. If you want to build the backbone of modern automation — not just deploy it — this is where you make your mark.

Requirements

BS in Computer Science, Computer/Software Engineering, Electrical Engineering, or related field
10+ years in technical lead role, solutions, systems, and software owning HLD and LLD with cross-team design inputs
Strong Python coding, analysis, debugging and problem solving
Hands on Linux development, Docker, Containers, plus experience with OpenShift or vanilla K8s with understanding controllers, operators, and multi-clusters
Experience in Git based development, SQL or NoSQL databases ( e.g. PostgreSQL), Restful API design.
Security fundamentals, zero-trust principles, image signing, and SBOM basics in vulnerability management
Experience in architecting end-to-end solutions, systems management framework for private cloud-based offerings
Excellent communication, documentation skills

Responsibilities

Leading architecture, design for cloud-based orchestration and provisioning solutions
Evaluating new technologies and rapidly developing proof-of-concepts that can be taken to production ready products
Own end-to-end solution delivery for SCAC discovery, architecture, implementation, and production readiness
Create and socialize architectural artifacts in the form of HLD/LLD, integration diagrams, data flows, and ADR’s
Design integration patterns across Supermicro Software Stack, DCBBS, Kubernetes cluster, Data center level monitoring and reporting platform, OpenShift, VMware, storage, network, and CI/CD
Identify and close design gaps and risks while proposing mitigation options with clear trade-offs and TCO impact
Establish and enforce standards in the form of reference architectures, golden paths, and IaC modules
Champion security-by-design with zero-trust principles, secrets management, vulnerability scanning, and compliance guardrails
Define orchestration workflows for cluster bring-up, upgrades, patching, and teardown
Specify installer strategy and UX, including preflight checks, image registry, mirror configuration, repository layout, admin node, IP addressing, and hypervisor flags.
Formalize integration contracts, API contracts, API’s with SCAC, telemetry, logging, and external registries
Lead performance, scalability, modeling, and validation to include, but not limited to, concurrency limits, queue backoff, and artifact caching
Guide delivery execution from design to GA, acceptance criteria, risk registers, exit gates, and sign-offs for security, scale, and operability
Validate the end-to-end solutions in reference labs and customer environments, ensuring upgrade and rollback readiness, and versioning and packing strategy