Devops Jobs 2026 (Now Hiring) – Smart Auto Apply
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Devops Engineer 4
Posted 30+ days ago

Devops Engineer- Contour Cloud
$150,000 - $200,000 / year
Posted 30+ days ago

Senior Forward Deployed Engineer (Devops/Sre)
$300,000 - $350,000 / year
Posted 6 days ago
Technology Lead | Consulting Processes | Devops Assessment And Roadmap Definition
Posted 2 weeks ago
Senior Devops Engineer
Posted 30+ days ago
AWS Devops / SRE Engineer
Posted 3 days ago
Mid Level Devops Engineer
Posted 30+ days ago
Technology Architect | Devops | Continuous Integration - Others
Posted 6 days ago
Devops Engineer With Gen AI
Posted 30+ days ago
Lead Consultant | Cloud Platform | Amazon Webservices Devops
Posted 1 week ago
Sr. Devops Engineer
$100 - $150,000 / year
Posted 3 weeks ago
Devops Engineer
Posted 30+ days ago
Entry-Level Java Developer (Spring Boot, Microservices, Devops)
$95,000 - $154,000 / year
Posted 1 week ago
Java Backend Devops Engineer
Posted 6 days ago
DevOps Engineer, Senior
$77,600 - $176,000 / year
Posted today
Senior DevOps Engineer
$105,050 - $161,800 / year
Posted today
Senior DevOps Engineer
$50 - $60 / hour
Posted today
Senior DevOps Engineer
Posted 4 days ago
Devops Engineer, Surveillance
$160,000 - $250,000 / year
Posted 30+ days ago
DevOps Engineer Jr
Posted 30+ days ago

Devops Engineer 4
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Overview
Job Description
- Experience in Platform, Infrastructure, DevOps Engineering.
- Deep hands-on experience with Kubernetes and container orchestration at scale.
- Proven ability to design and deliver platform features that serve internal customers or developer teams
- Experience building developer-facing platforms or internal developer portals (e.g. Custom workflow tooling).
- Build and extend platform capabilities to enable different classes of workloads (e.g., Large-scale AI training, inferencing etc).
- Design and operate scalable orchestration systems using Kubernetes across both on-prem and multi-cloud environments.
- Develop platform features such as pre-flight health checks, job status monitoring and post-mortem analysis.
- Partner with development teams to extend the GPU developer platform with features, APIs, templates, and self-service workflows that streamline job orchestration and environment management.
- Apply expertise in storage and networking to design and integrate CSI drivers, persistent volumes, and network policies that enable high-performance GPU workloads.
- Production support on large-scale GPU clusters.
- Hands-on experience in storage or network engineering within Kubernetes environments (e.g., CSI drivers, dynamic provisioning, CNI plugins, or network policy).
- Experience with Infrastructure as Code tools like Terraform.
- Background in HPC, Slurm, or GPU-based compute systems for ML/AI workloads.
- Practical experience with monitoring and observability tools (Prometheus, Grafana, Loki, etc.).
- Understanding of machine learning frameworks (PyTorch, vLLM, SGLang, etc.).
- High performance network and IB/RDMA tuning.
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