Stanford University: A private research university providing higher education and research.
8+ YOE8+ years software/infrastructure engineering, 4+ years Kubernetes production experience, proficiency in Python or Go, IaC and GitOps experience, observability tooling, and experience with high-throughput scientific workloads.
Bay Systems Consulting: Provides engineering and technology support services to government agencies.
8+ YOEExtensive Kubernetes administration (on-prem K3s/RKE2 and cloud GKE/EKS), Cilium CNI, Linux networking, GitOps, scripting (Bash/Python/Go), Terraform/Ansible, and platform enablement; typically 8+ years experience.
Clera: AI talent agent matching professionals with high-growth startup roles
2+ YOERequires 2+ years of software development, Go proficiency, Kubernetes experience, and distributed storage experience with Ceph or WEKA. Autonomy, ownership, and infrastructure development skills are required.
FSO LABS-Kubernetes DevOps Engineer-Senior-Bay Area (San Jose, CA, US, 95110)
San Jose or San Francisco
$123k-$213k/yrHybridFull Time
EY: Global firm providing audit, tax, and professional consulting services.
3+ YOEBachelor’s degree in related field, 3+ years DevOps/cloud infrastructure experience, Kubernetes and Microsoft Azure (AKS) experience, IaC (Bicep/ARM), CI/CD (GitHub Actions/Azure DevOps), monitoring (Prometheus/Grafana), scripting (PowerShell/Python/Bash).
Kubernetes, Docker, Microsoft Azure Kubernetes Service (AKS), Microsoft Azure Functions, Microsoft Azure DevOps, Microsoft Azure DevOps Pipelines, Microsoft Azure Storage, Microsoft Azure Monitor, Bicep, ARM templates, GitHub Actions, GitOps, ArgoCD, FluxCD, Prometheus, Grafana, Microsoft PowerShell, Python, Bash
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.
Principal / Distinguished Engineer - Multi-Cloud Control Plane - Kubernetes
San Diego or Santa Clara or Kirkland
$255k-$445k/yrHybridFull Time
ServiceNowNYSE: NOW: Provides a cloud platform for automating enterprise digital workflows.
12+ YOE12+ years building and operating large-scale distributed systems with expertise in Kubernetes, hyperscalers, Go, platform architecture, and technical leadership.
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.
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.
RobloxNYSE: RBLX: Platform for creating and playing user-generated 3D digital experiences.
5+ YOE5+ years experience building large-scale systems, expert in Kubernetes networking, familiar with Cilium and eBPF, on-call experience for critical infrastructure, strong communication and mentoring skills.
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.
Senior Systems Software Engineer, Accelerated Kubernetes Performance and Scale - DGX Cloud
Santa Clara or Seattle
$184k-$357k/yrHybridFull Time
NVIDIANASDAQ: NVDA: Designs GPU-accelerated computing and artificial intelligence hardware.
8+ YOE8+ years experience in computer architecture, networking, storage, and accelerator platforms; expertise in Kubernetes, distributed systems, and performance at scale; proficiency in Golang and/or Python; experience with major public clouds and NVIDIA stack.
5+ YOEBachelor's or equivalent plus 5+ years software development (Go, C, Python), 5+ years networking (TCP/IP,BGP), experience with Kubernetes and large-scale distributed systems; EM/OS kernel familiarity preferred.
Go, C, Python, Kubernetes, Cloud Functions, eBPF, OpenvSwitch, Linux Kernel, GKE, GDC, iptables, DNS
Senior Lead Software Engineer, Distributed Systems (Golang + Python on Kubernetes)
San Francisco or McLean or New York City or San Jose or Cambridge
$230k-$286k/yrOnsiteFull Time
Capital OneNYSE: COF: Provides credit card, banking, and auto loan services.
6+ YOE1+ MgmtBachelor’s degree, 6+ years of software engineering experience, 1+ year of cloud computing, and experience with Python, Golang, Node.js, Kubernetes, cloud platforms, and ML platforms.
JavaScript, Java, HTML, CSS, TypeScript, SQL, Python, Go, Docker, Kubernetes, AWS, Microsoft Azure, Google Cloud, Amazon SageMaker, Databricks
Senior Lead Software Engineer, Distributed Systems (Golang + Python on Kubernetes)
San Francisco or Cambridge or McLean or New York or San Jose
$230k-$286k/yrHybridFull Time
Capital OneNYSE: COF: Financial services offering credit cards, banking, and loans.
6+ YOE1+ MgmtBachelor’s degree; 6+ years software engineering; 1+ year cloud experience; 9+ years in Python/Golang/Node.js; 4+ years cloud services; 4+ years open source frameworks; 2+ years Kubernetes; 1+ year people management; 2+ years ML platform experience
Consulting Systems Engineer (San Francisco, CA) - Kubernetes / Linux
San Francisco, California, United States
$150k-$210k/yrOnsiteFull Time
World Wide Technology: Global technology solutions provider and systems integrator.
8+ YOESenior pre-sales engineer with typically 8+ years in solutions architecture/systems engineering, broad enterprise IT expertise (networking, cloud, security), strong communication and presentation skills, bachelor’s degree or equivalent, ability to travel up to 25%, must live near San Francisco Bay.
HUD: Platform for reinforcement learning environments and AI agent evaluations.
Production infra and backend experience owning uptime, performance, deployment safety, and cost; strong AWS, Kubernetes/EKS, Terraform, CI/CD, observability, and backend engineering skills.