Validate and operationalize NVIDIA AI factory environments from first rack power-on to customer handoff. Work on multi-GPU/multi-node Linux clusters running AI/LLM workloads using NCCL and collectives (AllReduce, AllToAll); own benchmark execution, observability, automation (Python, Shell), and cross-functional troubleshooting. Requires a BS or equivalent and 6+ years managing Linux-based systems in HPC/distributed/AI settings. Location: US (remote / multiple US locations). Salary range provided by employer: 148,000–235,750 USD/year.

Responsible for keeping user-facing services and production systems reliable, scalable, and efficient. Work includes building automation and infrastructure-as-code, operating Kubernetes-based production systems, contributing to observability and incident response, and participating in on-call rotations. Candidates should have experience with cloud providers (AWS or GCP), infrastructure-as-code, Kubernetes, coding (Go or Ruby), and strong written communication for an async, distributed environment.

Calendly is hiring a Staff Platform Engineer to design and build software, APIs, and automation that extend the internal developer platform atop Kubernetes. The role is hands-on engineering (building controllers/operators and platform capabilities), requires 10+ years in cloud infrastructure or software development, strong Go experience, deep Kubernetes and GCP knowledge, observability experience (Datadog), and participation in on-call rotation. Remote in the United States; Calendly does not provide immigration sponsorship.

Lead and grow a senior-heavy, distributed infrastructure engineering team focused on AWS/EKS, Terraform, ingress consolidation, Backstage automation, and AI-enabled tooling. Own roadmap, incident response, cross-team stakeholder alignment (Product, AI, Security, SRE), vendor management, and delivery against reliability, cost, and enterprise compliance objectives (e.g., SOC 2, disaster recovery). Requires 9+ years in infra/platform engineering and 5+ years in engineering management while remaining hands-on.

Join GitHub's Git Systems Engineering team to design, implement, and operate highly performant, scalable, and highly available services for hosting Git repositories. Responsibilities include architecture and design, building microservices and proxies, running experiments and prototypes, on-call rotations for live site operations, and providing technical leadership and mentoring. Required: substantial software engineering experience and proficiency in languages such as C/C++, C#, Java, JavaScript, Go, Ruby, Rust, or Python.

Provide technical support, debugging, and issue resolution for NVIDIA Ethernet switching technologies and end-to-end AI solutions (e.g., Spectrum-X). Act as primary contact for a customer, collaborate with engineering and marketing, develop support methodologies. Requires 6+ years of customer support/debugging experience, strong Linux and enterprise networking skills, and regular on-site presence in College Station, TX.

Work on GitHub Enterprise Cloud Platform to build and operate provisioning, networking, compute, storage, DNS, and service onboarding automation for multi-region Azure deployments. Lead platform investments to improve deployment velocity and safety, enhance operational tooling and incident response, and provide on-call support including post-incident retrospectives. Required qualifications include substantial software engineering experience (various degree/experience combinations), experience with IaC (e.g., Terraform, Bicep, Pulumi), Azure capacity management, AI-assisted development tools, and extensive on-call experience.

Provide primary customer-facing technical support and troubleshooting for Ethernet and AI infrastructure (including NVIDIA Spectrum‑X). Role requires 5+ years of hardware and software support experience, strong Linux system administration and networking skills (L2/L3, BGP/OSPF, VXLAN/EVPN, TCP/UDP), packet analysis (tcpdump/Wireshark), and collaboration with engineering and product teams. Salary ranges provided in the posting: USD 108,000–172,500 (Level 3) and USD 120,000–207,000 (Level 4).

Join Coinbase's Core Infra Systems team to build and maintain paved-road defaults, self-service tooling, and cloud networking across AWS and GCP. Role requires 5+ years software engineering experience (3+ years building/operating production cloud infrastructure), hands-on experience with cloud networking primitives and IaC (Terraform/Pulumi), and proficiency in a backend language such as Go or Python. Annual base salary range: $186,065–$218,900 USD.

Senior engineering role designing, implementing, and operating core services for Docker's Cloud Sandboxes platform. Responsibilities include microVM orchestration, workload scheduling, lifecycle management, building control-plane APIs, ensuring reliability and observability, collaborating with product and security teams, contributing to CI/CD and automation, and participating in on-call rotations. Location: Seattle or San Francisco Bay Area (remote-first).

Seeking a Staff Software Engineer (8+ years) to define and lead the technical architecture for Reddit’s global media infrastructure. Responsibilities include designing systems for ingesting, processing, encoding, storing, and delivering video and audio at scale; optimizing performance (latency, buffering, adaptive bitrate streaming); defining SLOs/SLAs; and mentoring multiple engineering teams. Role is remote in the United States; base salary range $217,000–$303,000 USD per year.

Remote Senior Solutions Architect role on NVIDIA's Infrastructure Specialists team responsible for end-to-end observability of HPC and AI factory systems. Responsibilities include running validation tools and microbenchmarks, defining health metrics and thresholds, extending telemetry across hardware and fabric, building automation (Python, Shell), working with observability stacks (Prometheus, Grafana, Loki), and collaborating with cross-functional teams to prepare systems for deployment. Requires 6+ years managing Linux-based systems in HPC or large AI/ML environments and hands-on multi-GPU/multi-node cluster experience.

Lead development of Reddit’s media and core platform services, building scalable APIs and services for hundreds of millions of users. Responsibilities include designing and operating large-scale distributed systems, optimizing media delivery and processing, mentoring engineers, and working with technologies such as Python/Go, GraphQL/gRPC/Protobuf, Kubernetes, and cloud platforms (AWS/GCP).

Senior Engineer on the Core Systems & Libraries team responsible for designing, building, and running foundational media and non-media services and APIs at massive scale. Role emphasizes distributed systems, API design, media processing and delivery, performance and availability, mentoring junior engineers, and working with Kubernetes and cloud platforms (AWS/GCP). Requires 5+ years experience and proficiency with Python, Go, or similar.

Astronomer seeks a Senior Software Engineer on the Platform Engineering team to design, build, test, and deploy production infrastructure for its Astro DataOps platform. The role emphasizes reliability, observability (SLI/SLO), CI/CD, automation, and operational excellence, and requires strong experience with Python, Go, Kubernetes, distributed/cloud systems, and participation in periodic on-call rotations. Estimated total compensation: $210,000–$250,000 per year.

The Deployments team designs and maintains continuous delivery infrastructure (primarily Argo Workflows and ArgoCD) and Kubernetes-based tooling to enable reliable deployments across multi-cloud environments. The role requires 6+ years of software development and distributed systems experience, proficiency in Python or Go, experience with large-scale CI/CD pipelines, cloud platforms (AWS/GCP/Azure), Linux and networking, and participation in a 24/7 on-call rotation. Candidates should be able to work East Coast hours.

Own design, build, and operation of Kubernetes cluster management and developer-facing tooling (built on CNCF technologies including Kubernetes and Istio). Deliver compute capabilities (one-off jobs, cron, deployment strategies, EFS support, right-sizing), improve observability and incident response, and partner with Security and Reliability teams. Requires 5+ years software engineering experience, including 3+ years building/operating Kubernetes or similar orchestration systems; proficiency with Go/Python/Java; hands-on AWS and/or GCP experience; experience with Helm, Prometheus, ArgoCD, Envoy; and experience applying AI tooling to infrastructure workflows.

Lead design, implementation, and production support of large-scale, high-performance distributed storage systems for GPU cloud services. Responsibilities include storage architecture, monitoring, automation, capacity planning, performance tuning, security/compliance, and being part of on-call rotations. Requires 8+ years' experience and expertise across storage technologies, networking protocols, Linux, programming (C/C++, Java, Python, Go, Node.js, Bash), configuration management (Ansible/Chef/Puppet/Terraform), and observability tools (Prometheus, Grafana, InfluxDB, Elastic Stack).

Lead architecture and delivery of major features for Chainguard Containers, including image build pipelines, registry performance, signing/attestation, and adoption tooling. Must be hands-on (majority coding), mentor engineers, work with AI coding agents, and have deep experience with Go, containers/OCI, Kubernetes, and cloud infrastructure (GCP/AWS). Requires 5+ years of experience. Chainguard cannot provide visa sponsorship or relocation for this role.

Lead the technical strategy and implementation of test infrastructure (orchestration, test selection, sharding, flaky-test detection, and result analysis) to improve test feedback speed and reliability. Operate and own systems end-to-end (architecture, observability, SLOs, on-call), partner with engineering teams to remove bottlenecks, and mentor engineers. Requires 10+ years experience, proficiency in Go or similar, and experience with Kubernetes, AWS, GitHub Actions, Terraform, containers, and observability tooling.