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Staff Engineer, Reliability Infrastructure Engineer
Milpitas, California, United States
$117k-$193k/yr HybridFull Time
6+ YOEBachelor's degree in engineering/CS, 6+ years engineering experience in test infrastructure or reliability, hands-on with environmental chambers, failure analysis, vendor management, and global lab alignment.
3w
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Site Reliability Engineer - Data Infrastructure
San Jose, California, United States
$156k-$317k/yr OnsiteFull Time
2+ YOE2+ years SRE/DevOps experience, bachelor’s degree or equivalent, scripting (Python/Go/Bash), Linux and networking knowledge, familiarity with containers and observability tools.
Kubernetes, Redis, MySQL, Message Queue, Python, Go, Bash, Docker, Prometheus, Grafana, ELK Stack, Linux
2w
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Contract Site Reliability Engineer — AI Accelerator Infrastructure
Santa Clara, California, United States
$155k-$235k/yr HybridContract
d-Matrix: Develops high-performance semiconductor chips for generative AI inference.
5+ YOE5+ years SRE/infrastructure experience; strong Linux, colocation and bare-metal skills; Terraform/Ansible; Kubernetes; Prometheus/Grafana or DataDog; Python/Bash; incident response and RCA experience.
AWS, Azure, GCP, Terraform, Ansible, Kubernetes, Prometheus, Grafana, DataDog, Python, Bash, Slurm, LSF, InfiniBand, RoCE, NVLink, Go
4d
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Principal, System Reliability Engineer
San Jose, California, United States
$185k-$290k/yr OnsiteFull Time
5+ YOE5+ years in systems/fleet reliability for large-scale infrastructure, BS in EE/CE, experience building test infrastructure, statistical reliability planning, customer-facing qualification, and on-call fleet operations.
FPGA
3w
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Senior Site Reliability Engineer - Data Infrastructure (San Jose)
San Jose, California, United States
OnsiteFull Time
5+ YOEBachelor's or equivalent and 5+ years SRE/production engineering experience; proficiency with Go/Python/Bash, Linux, networking, and large-scale distributed systems.
Kubernetes, Redis, MySQL, Message Queue, Kafka, Flink, Go, Python, Bash
1mo
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Senior Site Reliability Engineer
Pleasanton or Austin or San Francisco or United States
OnsiteFull Time
8+ YOESenior SRE with strong infrastructure, automation, and programming experience (Terraform, Chef, Ansible, Python, Java, Bash). Minimum multi-year experience in software engineering or equivalent; participates in on-call and incident response.
Terraform, Chef, Ansible, Python, Java, Bash, Kubernetes, Helm, Jenkins, Grafana, Prometheus, OCI - DevOps, Oracle Cloud Guard, Oracle Observability and Management
2mo
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Senior Site Reliability Engineer
Palo Alto, California, United States
$200k-$400k/yr HybridFull Time
5+ YOE5+ years operating production systems; cloud (AWS); infrastructure as code; programming; startup environment; reliability-focused with cost awareness.
AWS, Pulumi, Postgres, ClickHouse, Turbopuffer, Temporal
1mo
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Senior Site Reliability Engineer, Platform Infrastructure (Foundations)
San Francisco or Palo Alto
OnsiteFull Time
3+ YOE3+ years writing production code; experience with distributed systems, Kubernetes, cloud (AWS/Azure/GCP); proficiency in Go and Python; familiarity with observability (Prometheus, Grafana); on-call experience.
Ray, Kubernetes, Prometheus, Grafana, Go, Python, AWS, Azure, GCP, Linux kernel
1mo
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Sr. Site Reliability Engineer
Palo Alto or Palo Alto or Washington
$165k-$230k/yr OnsiteFull Time
5+ YOE5+ years experience with Kubernetes and Linux, proficiency in Bash/Python, experience with infrastructure automation and large-scale server management; Top Secret/SCI clearance required or obtainable.
Kubernetes, Linux, Bash, Python, Bazel, Makefiles, Terraform, Ansible, TCP/IP
1w
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Staff Network Reliability Engineer (Cloud Operations)
Mountain View, California, United States
HybridFull Time
8+ YOE8+ years cloud/infrastructure/SRE experience with Kubernetes, hybrid cloud operations, observability, database and storage reliability, GitOps, and on-call ownership in 24x7 environments.
Kubernetes, GKE, GCP, kubectl, Pub/Sub, Cloud SQL, Prometheus, VictoriaMetrics, Grafana, OpenTelemetry, PostgreSQL, Redis, ArgoCD, Helm, Terraform, Ansible, Ceph, Rook, Harvester, KubeVirt, KVM, Loki, ELK, Flux CD, Go, Python, BGP, VXLAN, EVPN
1w
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Senior Site Reliability Engineer
Redwood City, California, United States
HybridFull Time
5+ YOE5+ years SRE or infrastructure experience, deep Linux and low-level performance debugging, Terraform, Airflow, Ray, AWS or OCI, high-performance networking (InfiniBand/RDMA/RoCE), security/compliance familiarity.
Linux, Python, Go, Bash, Terraform, Airflow, Ray, AWS, OCI, InfiniBand, RDMA, RoCE, DCGM, ROCm, Kubernetes, NVIDIA, AMD
1mo
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Senior Site Reliability Engineer
San Jose or Seattle or San Francisco
$159k-$302k/yr OnsiteFull Time
5+ YOEBachelor's or equivalent, 5+ years SRE/infrastructure/backend experience; Kubernetes, Docker, Terraform, AWS, Postgres/Redis, observability, incident response, CI/CD, bash, Node.js/TypeScript experience; on-call participation.
Kubernetes, Docker, bash, CircleCI, Node.js, TypeScript, Postgres, Redis, AWS Aurora (Postgres-compatible), Terraform, AWS
3w
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Staff Site Reliability Engineer, AI Foundations, F1 Query
San Jose, California, United States
$207k-$301k/yr OnsiteFull Time
8+ YOEBachelor's in CS or equivalent,8+ years building infrastructure/distributed systems,5+ years programming in C++ or Go,5+ years reliability engineering,EMR not mentioned,experience with distributed systems and stakeholder collaboration.
C++, Go, Java, GoogleSQL, Google Cloud
1mo
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Senior Software Engineer, Site Reliability Engineering
San Francisco or San Jose or New York City or Seattle or Austin or Washington or California or Massachusetts or New Jersey or Washington or United States
$179k-$273k/yr RemoteFull Time
5+ YOE5+ years managing infrastructure and systems; extensive AWS and Linux fluency; proficiency in Python, Go, PHP, and JavaScript; experience with distributed systems, observability, and on-call rotations; strong communication and troubleshooting skills.
AWS, Linux, Python, Go, PHP, JavaScript, DNS, TLS, HTTP/S, TCP/IP
3d
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Senior Site Reliability Engineer - Core Cloud Platform
San Francisco or San Jose or Bellevue
$240k-$356k/yr HybridFull Time
7+ YOE7+ years SRE or production infrastructure experience, deep Kubernetes and Terraform knowledge, experience with observability and SLOs, proficiency in Go or Python, on-call and incident leadership experience.
Kubernetes, Terraform, Argo CD, Flux, Helm, Kustomize, OpenTelemetry, Prometheus, Grafana, Datadog, Go, Python, etcd, GitOps
1mo
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Senior Site Reliability Engineer, Apple Data Platform SRE / Apple Services Engineering
Cupertino, California, United States
OnsiteFull Time
Apply SRE principles to mentor teams, ensure reliability for large-scale analytics infrastructure across Hadoop, HBase, Spark, Data Lakes, and Airflow; participate in production on-call.
Hadoop, HBase, Spark, Data Lakes, Airflow
1mo
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Staff Site Reliability Engineer
Foster City, California, United States
$250k-$300k/yr HybridFull Time
5+ YOE5+ years operating GitHub Enterprise at scale, monorepo management, CI/CD integration, infrastructure-as-code (Terraform/Pulumi), cloud platform experience, technical leadership and migration planning.
Git, GitHub Enterprise, GitHub Cloud, Buildkite, GitHub Actions, Jenkins, GitLab CI, Terraform, Pulumi, Bazel, Buck, Reviewable, Gerrit
1mo
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Software Engineer - Backend Infrastructure, Standalone Apps Team
Menlo Park, California, United States
$219k-$301k/yr OnsiteFull Time
12+ YOEBachelor's degree or equivalent, 12+ years software engineering experience with infrastructure/platform/distributed systems, strong distributed systems/storage/reliability knowledge, track record operating infrastructure at scale.
1mo
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Senior Machine Learning Engineer, Reliability
San Mateo, California, United States
$197k-$243k/yr HybridFull Time
Expertise in machine learning and modeling, strong distributed systems fundamentals, ability to architect ML infrastructure for production, experience with logs/traces/metrics, and strong communication skills.
2w
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Machine Learning Infrastructure Engineer
Redwood City, California, United States
$140k-$240k/yr HybridFull Time
Experience running production ML systems, working with large datasets, PyTorch/Docker experience, managing GPU/cluster/job-scheduler environments, and building reliable data and training pipelines.
PyTorch, Docker
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