# Senior DevOps Engineer

**Company**: NVIDIA
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/Israel-Raanana/Senior-DevOps-Engineer--AIOps_JR2026697-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_8bacff08-94f

## Description

NVIDIA is seeking a Senior DevOps Engineer to join the Agentic AIOps team. The successful candidate will help turn agentic AI capabilities for diagnosing and troubleshooting network and GPU infrastructure into secure, scalable, production-ready services.

**Responsibilities:**

- Own the DevOps, infrastructure, security, release, and reliability lifecycle - from development environments and CI/CD through deployment, production readiness, and sustained operations.

- Build and operate Kubernetes environments and Helm-based deployments for a Python, FastAPI, Node.js, and React microservices platform across SaaS and on-premises footprints.

- Engineer GitLab CI/CD pipelines with automated testing, container builds, vulnerability scanning, and versioned image and Helm chart publication through JFrog Artifactory.

- Automate infrastructure provisioning, configuration, upgrades, and routine operational workflows to accelerate delivery and improve engineering productivity.

- Operate PostgreSQL, Temporal workflow services, and S3-compatible object storage with disciplined capacity planning, backups, recovery testing, and safe migrations.

- Strengthen release reliability through deployment validation, reduced-downtime strategies, persistent-state protection, and recovery plans for active workflows.

- Deliver actionable observability and security using OpenTelemetry, Datadog/Grafana, Langfuse, secrets management, identity integration, TLS, Kubernetes RBAC, network policies, and container hardening.

- Partner with software and AI engineers to troubleshoot distributed systems, investigate incidents, define reliability targets, and improve platform performance, resource efficiency, and customer outcomes.

**Requirements:**

- Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent experience.

- 5+ years of experience in DevOps, site reliability engineering, or platform engineering supporting distributed applications and microservices.

- Strong hands-on experience with Kubernetes, Docker, and Helm, including networking, storage, workload scheduling, scaling, and troubleshooting.

- Strong Linux administration skills and proficiency in Python and Bash for automation, plus experience with infrastructure as code and configuration tooling such as Terraform and Ansible.

- Experience building and maintaining CI/CD pipelines, including runners, container registries, artifact management, automated quality gates, and secure release practices.

- Practical experience operating PostgreSQL or comparable relational databases, including SQL, migrations, backup and restore, and performance troubleshooting.

- Strong networking and observability fundamentals across TCP/IP, DNS, HTTP, TLS, load balancing, ingress, metrics, logs, traces, dashboards, and actionable alerting.

- Sound understanding of secure infrastructure operations and incident response, with demonstrated ownership, cross-functional collaboration, and prioritization in an evolving environment.

**Nice to Have:**

- Experience operating AI applications, agent platforms, or LLM services, including monitoring latency, failures, token usage, and cost.

- Familiarity with Temporal, LangGraph, Model Context Protocol (MCP), Langfuse, ClickHouse, Redis/Valkey, or S3-compatible storage.

- Deep experience with OpenTelemetry instrumentation and collectors, Datadog APM, or Prometheus/Grafana.

- Experience with self-hosted Kubernetes, OpenShift, Kubernetes operators, CloudNativePG, or GPU clusters and AI data centers.

- Experience building reproducible AMD64 and ARM64 container images, optimizing BuildKit pipelines, and securing the software supply chain.

## Skills

### Required
- Kubernetes
- Docker
- Helm
- Python
- Bash
- Terraform
- Ansible
- PostgreSQL
- OpenTelemetry
- Datadog
- Grafana
- Langfuse
- Temporal
- S3-compatible storage

### Nice to have
- AI applications
- agent platforms
- LLM services
- LangGraph
- Model Context Protocol (MCP)
- ClickHouse
- Redis/Valkey
- OpenTelemetry instrumentation
- Datadog APM
- Prometheus/Grafana
- self-hosted Kubernetes
- OpenShift
- Kubernetes operators
- CloudNativePG
- GPU clusters
- AI data centers

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/Israel-Raanana/Senior-DevOps-Engineer--AIOps_JR2026697-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)