AtlassianNASDAQ: TEAM: Develops software for team collaboration and project management.
Deep expertise in agent infrastructure and distributed systems, with experience shaping architecture, secure compute, Kubernetes platforms, cloud-native execution, and cross-team technical strategy.
Lambda: Provides high-performance GPU cloud infrastructure for AI development.
10+ YOE10+ years in software/platform engineering or SRE; 5+ years Kubernetes at scale; strong Go and Python; deep Kubernetes internals; GPU orchestration; multi-tenant infrastructure; distributed systems; observability at scale; Linux networking; IaC and GitOps.
RobinhoodNASDAQ: HOOD: Provides a commission-free platform for investing and financial services.
Deep Kubernetes and container platform experience, production distributed systems experience, familiarity with AWS/Amazon EKS, strong system design and collaboration skills.
Anthropic: Developing safe and reliable artificial intelligence systems.
Significant software engineering experience with distributed systems; deep Kubernetes expertise; proficiency in Go, Python, Rust, or C++; strong debugging and reliability focus; excellent communication.
AI Inference Infrastructure Software Engineer (Kubernetes / Cloud)
Seattle, Washington, United States
HybridFull Time
ElastixAI: A software startup focused on AI inference infrastructure and high-performance cloud platforms.
3+ YOE3–5 years in Kubernetes and cloud deployments; BS in CS/Software Eng; strong Python/Bash/Go; experience with Terraform/Pulumi, Ansible/Puppet, GitOps; production ML/inference on Kubernetes.
Lightning AI: Unified platform to build, train, and deploy AI models.
Significant experience building and operating production backend systems with Go or Python, deep Kubernetes or Slurm knowledge, distributed systems, networking, observability, CI/CD, and production incident response.
Senior Software Engineer, Apple Services Engineering - Kubernetes
Seattle, Washington, United States
OnsiteFull Time
AppleNASDAQ: AAPL: Designs and sells consumer electronics, software, and online services.
Experienced engineer to build and enhance Kubernetes clusters, customize for GPU workloads, scale infrastructure for services, and collaborate with upstream communities.
AmazonNASDAQ: AMZN: Global online retail and cloud computing technology provider.
3+ YOERequires a bachelor's degree, 5+ years of technical product management, 3+ years of technical experience, 7+ years of full product lifecycle experience, and enterprise security and cloud product experience.
Senior Systems Software Engineer, Kubernetes Node Lifecycle - DGX Cloud
Santa Clara or Seattle
$184k-$357k/yrOnsiteFull Time
NVIDIANASDAQ: NVDA: Designs graphics processing units and artificial intelligence hardware.
8+ YOE8+ years systems software or cloud infrastructure experience, deep Cluster API/CAPI and Kubernetes node lifecycle expertise, OS image pipeline and packaging experience, Golang/Python proficiency, and public cloud experience.
engineer lead, Cloud Foundation Services Platform (Kubernetes)- ST; Seattle WA
Seattle, Washington, United States
$147k-$244k/yrHybridFull Time
StarbucksNASDAQ: SBUX: Operates a global chain of coffeehouses and roastery reserves.
8+ YOE2+ MgmtBachelor's degree or equivalent experience; 8–10 years in cloud, platform, or software engineering; 2+ years leading teams; expertise in Azure, AKS, Kubernetes, Terraform, Python, and DevOps.
Microsoft Azure, Azure Kubernetes Service (AKS), Kubernetes, Argo CD, Argo Workflows, Istio, Terraform, Azure Bicep, Crossplane, Python, Azure DevOps, Git
Senior Systems Software Engineer, Kubernetes Node Lifecycle - DGX Cloud
Santa Clara or Seattle
$184k-$357k/yrOnsiteFull Time
NVIDIANASDAQ: NVDA: Designs GPU-accelerated computing and artificial intelligence hardware.
8+ YOE8+ years systems software/cloud infrastructure/Kubernetes node engineering experience. Expertise in Cluster API, OS image build pipelines and packaging, nodepool lifecycle, kubelet configuration, node image security, Golang/Python, and public cloud (GCP/AWS/Azure/OCI).
engineer lead, Cloud Foundation Services Platform (Kubernetes)- ST; Seattle WA
Seattle, Washington, United States
$147k-$244k/yrHybridFull Time
StarbucksNasdaq: SBUX: Operates a global chain of coffeehouses and roastery reserves.
8+ YOE2+ MgmtBachelor's degree or equivalent experience, 8–10 years in cloud, platform, or software engineering, and 2+ years leading teams. Requires Azure, AKS, Kubernetes, Terraform, Azure Bicep, Crossplane, Python, and Azure DevOps.
Microsoft Azure, Azure Kubernetes Service (AKS), Kubernetes, Argo CD, Argo Workflows, Istio, Terraform, Azure Bicep, Crossplane, Python, Azure DevOps, Amazon Web Services (AWS), Google Cloud Platform (GCP), Oracle Cloud Infrastructure (OCI), Git
8+ YOEBachelor's or equivalent,8+ years software development,5+ years cloud experience,experience with distributed systems and AI infrastructure,EMR not applicable; strong problem-solving and communication skills.
Kubernetes, K8s, Google Kubernetes Engine (GKE), Google Cloud Platform (GCP), Google Compute Engine (GCE), GPU, TPU
Principal Product Manager, AEP Foundation & Partner Platforms
Bellevue, Washington, United States
$232k-$289k/yrOnsiteFull Time
Armada: Provides mobile edge computing infrastructure and industrial AI solutions.
8+ YOE8+ years product management for infrastructure/platform/Kubernetes, recognized cloud-native expertise, experience defining Kubernetes infrastructure and partner integrations, strong communication and strategic skills.
Kubernetes, Jira, Confluence, Microsoft Azure DevOps, Figma, Microsoft Azure, Palantir Foundry
SmartVerify: Autonomous egress control plane for AI agents.
Expert cloud-native engineer with deep hands-on experience in Kubernetes service mesh and Envoy stack, identity/security, traffic policy, observability, API automation across Kubernetes, and SOC 2/NIST security controls; able to work onsite in Greater Seattle.