NVIDIA seeks a Senior AI Compute Engineer to join Infrastructure Specialists, working with customers and internal teams to plan, deploy, and validate Linux-based AI Compute/HPC systems. Requires 8+ years of deployment/support experience, strong Linux administration, scripting (Bash/Python/Ansible), cluster provisioning, schedulers (SLURM/LSF/UGE), benchmarking (HPL/NCCL/MLPerf), Kubernetes, and up to 20% US travel.

Red Hat is seeking a senior Virtualization Architect for remote UK work to lead migration and virtualization architecture engagements across EMEA. The role requires hands-on experience with OpenShift and OpenStack, storage and automation (preferably Ansible), consultative customer engagement, solution design and leading delivery teams, with regular travel across Europe, the Middle East and Africa.

Join MongoDB's Fabric team as a Site Reliability Engineer responsible for the multi-cloud, globally connected network that enables secure communication between services. The role emphasizes networking fundamentals (TCP/IP, IPv6, DNS, TLS/mTLS, BGP), service mesh and load-balancing, cloud network primitives (VPCs, routing, VPNs, peering, private link/PSC, CDNs), automation, and observability. The position is based in Toronto or Vancouver or fully remote anywhere in North America and includes participation in a 24/7 on-call rotation. Minimum stated experience: 10+ years working on software and distributed systems with deep networking expertise.

Join MongoDB’s Fabric team to develop and maintain a reliable, globally connected multi-cloud network that ensures secure communication between services and from the public internet. Responsibilities include network architecture, service mesh, edge load balancing, collaborating with service teams, and participating in a 24/7 on-call rotation. The role requires 10+ years working on software and distributed systems with deep networking expertise (TCP/IP, IPv6, DNS, TLS/mTLS, BGP, tunnels, overlays, SDN) and familiarity with cloud networking primitives (VPCs, routing, VPNs, peering, private link).

Ramp seeks a Security Engineer (Cloud) to review cloud deployments, design and build security-oriented infrastructure primitives, lead remediation across the stack, and collaborate with infrastructure, data, and DevOps teams. Requires minimum 5 years building software and at least 3 years building in AWS with Terraform. Nice-to-haves include Python (Flask), Terraform experience across Azure/GCP, and improving developer experience for multi-service deployments.

Seasoned Digital Workspace Architect role (6+ years) focused on enterprise-scale migrations from Microsoft 365/Exchange to Google Workspace, architecting AI agent solutions and automation with Vertex AI, Apps Script and AppSheet, contributing to pre-sales and governance. Remote (United States); travel up to ~25%. Employer cannot sponsor visas.

NVIDIA seeks a Senior Cloud Infrastructure and DevOps Solutions Architect to support Neo Clouds and customers in deploying and operating large-scale AI/HPC systems. Responsibilities include managing Kubernetes-based platforms, automation (IaC), monitoring/observability, storage and networking, performing end-to-end troubleshooting, and producing operational documentation. The role expects 5+ years' relevant experience.

Role requires designing, deploying, and operating large-scale AI/HPC networking and infrastructure (Neo Clouds) with emphasis on performance, monitoring, automation, and customer engagement. Requires 5+ years in networking, expertise in EVPN/BGP/OSPF/VXLAN, hands-on experience with Cumulus/SONiC/IOS/Junos/EOS, and automation using Ansible/Salt/Python. Must have strong English communication skills.

Join a small platform team to design, build, and operate self-service platform APIs and multi-tenant EKS foundations. Responsibilities include provisioning, deployment flows (Terraform, GitOps/Argo CD), multi-region and cross-account networking, improving SLOs and observability (Grafana, OpenTelemetry/Prometheus), and participating in on-call rotation. Required: 6+ years backend/infrastructure engineering, strong Go skills, and deep expertise in at least one of Kubernetes, networking, cloud platforms, reliability engineering, or developer platforms.

Build and maintain enterprise-focused platform infrastructure including single-tenant/dedicated deployments, private networking (VPC peering, static IPs), authorization services (custom policies, RBAC/ABAC, OAuth/OIDC), data protection (BYOK/CMEK, key management, data residency), and automation (Terraform). Requires 7+ years in infrastructure/platform engineering, strong programming (Go/TypeScript/Python), Kubernetes, cloud networking, and security fundamentals. Role is full-time based in Foster City, CA with in-office requirement Mon/Wed/Fri.

Fastly is hiring a Senior Customer Solutions Engineer (internally titled Senior Cloud Engineer) to act as the primary technical contact and trusted advisor for major customers. Responsibilities include post-sales implementation, troubleshooting, mentoring, handling escalations, and collaborating with Sales and Account Management. The role requires 8+ years' related experience with CDNs, cloud/internet infrastructure, streaming workflows (HLS/DASH), networking protocols, VCL/Varnish, Linux, and scripting. Locations listed: Denver, CO and San Francisco, CA; open to remote workers within Pacific, Mountain, and Central timezones; occasional travel may be required.

Work on the Fleet Management team within Platform Engineering to build and maintain a scalable, secure Kubernetes runtime and associated components (CoreDNS, cert-manager, Gatekeeper, service mesh). Provide internal support to engineering teams, participate in a 24/7 on-call rotation, lead blameless post-mortems and systemic fixes, and help migrate from Terraform-based IaC to an operator-driven lifecycle. Locations include multiple US offices and Dublin; U.S. base salary range provided.

The Home Depot seeks a Manager, AI Platform Engineering to lead a team building and operating an enterprise Generative AI platform, focusing on multi-model orchestration, AI agents, secure production deployments, and cross-functional collaboration. Requires software engineering experience (minimum 5 years), strong knowledge of Java/OOP, CI/CD, containerization (Docker/Kubernetes), cloud platforms (Azure/GCP), and familiarity with security, privacy, and responsible AI practices. Role includes people leadership, delivery execution, support, and occasional travel (5–20%).

Lead design and implementation of Reddit's platform for large-scale ML models, including end-to-end MLOps (data prep, experiment tracking, model management), distributed GPU training, and graph ML pipelines. Role expects 8+ years in ML infrastructure with experience in cloud tools (GCP BigQuery, Google Cloud Storage), infrastructure-as-code (Terraform), MLOps tools (MLflow/Wandb), Python and ML frameworks (PyTorch/TensorFlow), and distributed frameworks (Ray, Kubernetes). Experience with graph databases and GNN frameworks is a plus.

Senior ML Infrastructure Engineer responsible for designing end-to-end model lifecycle patterns (MLOps), building and supporting graph ML codebases and platforms, optimizing distributed GPU training and batch data processing, and architecting pipelines for massive graph datasets. Role emphasizes scalability, reliability, performance, and collaboration with ML teams.

Technical leader role on DigitalOcean's AI Inference Data Plane team building Kubernetes-native, distributed inference hosting for large language and multimodal models. Responsibilities include system design, performance optimization (KV-cache, tensor/data parallelism), building on frameworks like llm-d/vLLM/Ray Serve, operating high-scale services with observability and SLOs, and contributing upstream to open-source projects. Strong experience with Go or Python, gRPC, and inference engines (vLLM, TensorRT, SGLang, etc.) is required.

Hands-on technical leader responsible for designing, developing, optimizing, and operating distributed inference hosting and data-plane components to support large generative AI models. Work includes system architecture, performance tuning (tensor/data parallelism, KV cache, batching, quantization), GPU/interconnect optimization, cross-functional collaboration, mentoring, and maintaining observability and SLOs. Primary languages/tools: Go or Python, gRPC, and various inference frameworks (vLLM, llm-d, NVIDIA Dynamo, Ray Serve).

Technical lead on the AI Inference Engine team responsible for end-to-end design, development, and operation of a multi-tenant inference hosting platform. Role focuses on distributed systems design, performance optimization (tensor/data parallelism, KV cache, quantization), GPU/interconnect optimizations (NVLink, XGMI, RoCE), and mentoring engineers. Requires experience with inference frameworks (vLLM, llm-d, Ray Serve), microservices and cloud operations, and proficiency in Go or Python and gRPC.

Twilio seeks a Senior Network Engineer to build, operate, and support global IT network infrastructure (campus/data center), VPN, ZTNA and cloud connectivity (AWS). Requires 7+ years relevant experience, strong Cisco LAN/WAN/WiFi and Palo Alto firewall experience, network monitoring, troubleshooting and network security knowledge; ~15% travel.

Hiring a Staff Software Engineer on the Cloud Provider Team to design and build scalable backend APIs and services integrating with IBM Cloud. Responsibilities include shaping integrations (IAM, authn/authz, resiliency), guiding architecture, conducting design reviews, and mentoring engineers. Required experience includes distributed backend systems, cloud fundamentals, IAM patterns (OAuth/OIDC, JWT, RBAC), Kubernetes, and development in Java/Go with SQL/NoSQL familiarity.