Devops jobs
Nvidia Senior DevOps Engineer Switch Firmware United States, California
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- US, CA, Santa Clara
- time type
- Full time
- posted on
- Posted 5 Days Ago
- job requisition id
What you’ll be doing:
Design, develop and support CI processes of various products.
Collaborate with various teams across the globe to promote and improve CI practices.
Build infrastructure for effective, high quality, reliable development and release processes.
Be a part of an experienced team with a great atmosphere.
What we need to see:
B.Sc. (or equivalent experience) in Computer Engineering, Computer Science or related technical discipline
4+ year experience in Software development.
Solid experience with Linux operating system
Experience with Jenkins pipelines embedded with Groovy based libraries
Control of GIT SCM
Proven experience in Docker.
Excellent development abilities in python scripting language
Strong design, coding and debugging skills
High ability to focus on task execution with agility and multitasking
Great teammate
Ways to stand out from the crowd:
Proven background with design and implementation of complex CI/CD pipelines
Proven experience with GitLab and Gerrit SCM administration
You will also be eligible for equity and .
These jobs might be a good fit
Cellebrite Senior DevOps Engineer United States, District of Columbia
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Responsibilities:
· Design, develop, modify automation processes to deploy large-scale, enterprise-grade applications.
· Partner with R&D, Product Management and Architecture teams to deliver key operational metrics and feedback that support high product availability.
· Investigate reported and suspected outages and other issues.
· Oversee documentation of issues and resolutions. Maintain knowledge base of known issues.
· Produce, oversee production of, and maintain documentation, such as architecture diagrams, System Designs, and Runbooks.
· Work alongside fellow SREs, DevOps Engineers, and developers to solve problems and investigate anomalies.
· Participate in an on-call rotation to help maintain our 99.95% uptime SLO.
Requirements:
· 7+ years of experience working with AWS is required, with a proven track record of building complex infrastructure.
· Strong experience with networking, containerization (Kubernetes) and Linux system administration.
· Deep understanding of Infrastructure as Code (Terraform, Ansible, Cloud Formation etc.)
· Strong experience with Kubernetes preferably with AWS EKS.
· Experience with scaling and maintaining high availability production systems.
· Experience with DevOps release, versioning, build management, automation scripts, CI tools such as GitHub actions.
· Excellent verbal and written communication skills in English.
· Serve as a guide to the team and provide the best practices as a DevOps Tech Lead.
· Must be a U.S. Citizen
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Palo Alto Principal DevOps Engineer Cortex- Prisma Cloud United States, California
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Being the cybersecurity partner of choice, protecting our digital way of life.
Your Impact
As a Principal SRE with the Prisma Cloud DevOps team, you will:
Gain Cloud Experience - Utilize your prior experience in maintaining cloud platforms to optimize our infrastructure
Manage Incidents - Participate in incident management, following established processes to ensure prompt resolution of system issues, minimizing impact on services
Implement CI/CD - Develop and maintain application deployment configuration, using tools such as Terraform and Helm
Continuously Improve - Stay up-to-date with cutting-edge technologies, evaluate their potential impact on our operations, and implement them when appropriate
Participate in On-Call - Participate in an on-call rotation with our DevOps teams to provide follow-the-sun operational coverage in the production of our SaaS product
Collaborate - Work with our Engineering teams to influence the operability of the product and ensure the reliability and availability of our services
Your Experience
DevOps/SRE Experience - 8+ years of experience as a DevOps/SRE engineer with a passion for technology and a strong motivation for high reliability at the service level
Data Platform Experience - Design, deployment and maintenance of SQL DBs (e.g. PostgreSQL, MySQL) and NoSQL databases (e.g. Redis, Cassandra, Hadoop). Experience with Kafka is preferred.
Linux experience - A strong understanding of Linux internals allowing for quick troubleshooting
Incident and Alerts Management - Clear understanding of incident and alerts management in Site Reliability Engineering
Troubleshooting - Ability to effectively troubleshoot and address emerging and complex problems
Cloud Proficiency - Proficiency in Google Cloud Platform, Amazon Web Services or similar public cloud platform
Kubernetes and Docker - Experience with Docker and Kubernetes for container orchestration
Scripting and Automation - Proficiency in Python programming and Linux Shell commands
Terraform - Experience with Terraform for infrastructure as code
Security - Familiarity with security concepts and best practices
Observability - Experience with observability and incident response tools
Communication Skills - Effective communication and interpersonal skills, with the ability to work with and coordinate between multiple teams
Compensation Disclosure
The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected to be between $173,000 - $230,000/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found .
All your information will be kept confidential according to EEO guidelines.
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EY Senior DevOps Engineer AI + Azure United States, New Mexico
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We’re looking for a Senior DevOps Engineer to build and run cloud and AI infrastructure at scale. You’ll own IaC with Terraform, CI/CD, Kubernetes, and Linux. You’ll also help runboth in Azure and locally (Ollama/vLLM/llama.cpp). Your work will enable fast, secure, repeatable delivery.
Key responsibilities
- Build and maintain Azure infrastructure with Terraform (modules, workspaces, pipelines, policies).
- Design and operate CI/CD with GitHub Actions and/or Azure DevOps (multi-stage, approvals, environments).
- Run containers and Kubernetes/AKS (Helm, ingress, autoscaling, node pools, storage).
- Manage AI/LLM runtime: local model runners (Ollama, vLLM, llama.cpp), GPU/CPU configs.
- Support RAG : embeddings pipelines, vector DBs (Azure AI Search/Cognitive Search, pgvector, Milvus), data sync, retention.
- Automate platform tasks with Python (tooling, CLI utilities, API glue, ops scripts).
- Implement observability (Azure Monitor, Prometheus/Grafana, logs/traces/metrics, alerts, runbooks, SLOs).
- Apply Zero Trust security; Enforce least privilege and role-based access control (RBAC), Identity-based segmentation (Azure AD, Conditional Access, MFA).
- Implement policy-as-code (OPA, Azure Policy) for compliance.
- Rotate secrets and certificates via Key Vault; integrate with pipelines.
- Add continuous security scanning (SAST/DAST, container image scanning).
- Handle reliability: rollout strategies, health probes, incident response, postmortems.
- Optimize costs: right-sizing, autoscaling, budgets, tags, reporting.
Key requirements:
- 4+ years in DevOps/SRE/Platform Engineering.
- Strong Linux (shell, systemd, networking, performance troubleshooting).
- Terraform at scale (modules, state backends, CI/CD integration).
- Deep Azure experience (AKS, VNets, Key Vault, Storage, Monitor, Identity, Networking).
- CI/CD expertise (GitHub Actions and/or Azure DevOps).
- Containers and Kubernetes in production.
- Python or scripting for automation (solid scripting and tooling; not full-time app dev).
- Hands-on with LLM setups (local runners or Azure OpenAI), embeddings, vector indexes, and RAG basics.
Nice to have
- Multi-cloud exposure ( AWS / GCP ).
- Azure AI services (Azure OpenAI, Cognitive Search).
- GitOps (Argo CD/Flux), Helm packaging, OCI registries.
- Eventing/queues (Event Grid, Service Bus, Kafka).
- Security/compliance in cloud (CIS, NIST, Microsoft CAF).
- Certifications: AZ‑104, AZ‑204, AZ‑400 , AI‑900 , HashiCorp Terraform Associate , CKA/CKAD .
- Experience with GPU nodes, drivers, CUDA/ROCm, or CPU-only optimizations for LLMs.
How we work
- Everything as code. PRs, reviews, and tests.
- Small batches. Trunk-based or short-lived branches.
- Clear runbooks and on-call rotation where needed.
- Measure, alert, fix, and improve.
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Palo Alto Sr Staff DevOps Engineer Cortex United States, California
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Being the cybersecurity partner of choice, protecting our digital way of life.
Your Career
The Cortex team builds and delivers the industry’s most advanced SecOps platform, consisting of XSIAM, XSOAR, and XPANSE. As a Senior DevOps Engineer, you will be responsible for designing, building, and maintaining the infrastructure and automation that powers our large-scale cloud platform. You will work closely with engineering teams to enable fast and reliable software delivery, optimize system performance, and ensure seamless scalability.
This role requires a strong DevOps engineer who is passionate about automation, cloud infrastructure, observability, and continuous integration/deployment. You will contribute to the evolution of our infrastructure by implementing best practices in configuration management, cloud provisioning, containerization, and CI/CD pipelines.
Your Impact
- Cloud Infrastructure – Architect, deploy, and manage cloud-native solutions in Google Cloud Platform (GCP) to ensure scalability, reliability, and performance
- Automation & Infrastructure as Code – Develop Infrastructure-as-Code using Terraform, automate configuration management with tools like Ansible, and drive adoption of GitOps practices
- CI/CD Pipelines – Build, maintain, and optimize CI/CD pipelines using Jenkins, GitLab CI, or similar tools to enable rapid, reliable software delivery
- Containerization & Orchestration – Deploy and manage containerized workloads using Kubernetes (GKE preferred) and Docker, ensuring resilience and security
- Monitoring & Performance Optimization – Implement monitoring, logging, and alerting solutions to proactively identify and resolve performance issues
- Security & Compliance – Ensure security best practices are followed across infrastructure, networking, and application deployment
- Collaboration – Work closely with development teams to integrate DevOps practices, troubleshoot production issues, and improve operational efficiency
- On-Call Rotation – Participate in on-call support to maintain platform reliability and resolve production incidents
Your Experience
- 4+ years of experience in DevOps, Site Reliability Engineering, or Cloud Infrastructure roles
- Strong cloud expertise in Google Cloud Platform (preferred) or AWS
- Infrastructure as Code – Deep knowledge of Terraform, Ansible, or equivalent tools
- Proficiency in scripting/programming with Python, Go, or Bash
- Containerization & Kubernetes – Experience managing large-scale Kubernetes environments and deploying workloads in GKE, EKS, or similar
- CI/CD & Automation – Hands-on experience with CI/CD tools such as Jenkins, GitLab CI, or ArgoCD
- Linux Administration – Strong knowledge of Linux systems and shell scripting
- Networking & Security – Understanding of cloud networking, IAM, firewalls, and security best practices
- Experience troubleshooting production issues in high-scale environments
- Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment
If you’re excited about building scalable infrastructure, improving deployment workflows, and driving DevOps culture, we want to hear from you.
Compensation Disclosure
The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected to be between $126000/YR - $203500/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found .
All your information will be kept confidential according to EEO guidelines.
These jobs might be a good fit
Nvidia Senior DevOps Engineer - Accelerated Computing United States, Texas
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- US, MA, Westford
- US, IL, Champaign
- US, MO, St. Louis
- US, CA, Santa Clara
- US, MA, Remote
- time type
- Full time
- posted on
- Posted 2 Days Ago
- job requisition id
What you will be doing:
Building a world-class CI/CD platform that empowers engineers to create groundbreaking, high-performance software for a diverse ecosystem—all running on revolutionary hardware—at a scale few can imagine.
Being part of a team that pushes the boundaries of what’s possible on the most powerful compute platforms in the world.
Running builds and tests on many architectures, operating systems, and devices.
Collecting a lot of data and working collaboratively to brainstorm and build infrastructure and tools to make sense of it all.
Building relationships that allow us to work together as a team, not a group.
Working in a highly dynamic environment where we have to think on our feet.
What we need to see:
6+ years of relevant industry experience.
Proficient with Linux.
Bachelors degree in a related area of study or equivalent experience.
Expert with scripting in one or more of Python, Perl, shell, Groovy, etc..
Strong background with deploying, configuring, and debugging distributed systems.
You should be familiar with the software build process (read compiling C++ code with GNU Make, CMake, Visual Studio, MSBuild, etc.).
Background with some form of source control management (SCM), preferably git.
Familiar with containers.
Ways to stand out from the crowd:
Experience with HPC hardware systems such as compute clusters and HPC software performance benchmarking on such systems.
System administrator level experience with multi-user Linux servers.
Background with GPU accelerated systems.
Experience working in an environment where Agile processes and methodologies are used.
You will also be eligible for equity and .
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Nvidia Senior DevOps Service Reliability Operations Engineer - DGX ... United States, Texas
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- US, CA, Santa Clara
- US, Remote
- time type
- Full time
- posted on
- Posted 2 Days Ago
- job requisition id
What you will be doing:
The team will provide their services 24/7 with a follow-the-sun environment which will span continents. You will report directly to a manager in the United States.
Some CIS shifts require either a Saturday or Sunday each week. The hours worked may include an early or late start (10hrs-per-day x 4 days-per-week schedule) to ensure that the combination the US and India teams provide 24/7 coverage.
Every CIS team member will use alerts and alarms to help prevent issues and incidents when possible. You may also work with the developer community to develop and implement predictive support or diagnostic routines.
Perform systems administration tasks, network administration tasks, security incident monitoring to drive our actions.
CIS team members will work with developers to learn how the service works, then translate that understanding into runbooks which the entire team will use. As new features and functionality are added, you will also update and evolve the runbooks as needed.
Help discover incidents and issues, including initiating the incident management procedure.
Bring in subject matter authorities or service owners as needed to resolve issues. Feedback will help us continually improve our service.
Your interpersonal skills will help keep the team engaged through resolution and ensure our clients believe we value their time and effort. May perform other tasks that will help us provide extraordinary service levels for our customers.
What we need to see:
Highly motivated with strong communication skills, you have the ability to work successfully with multi-functional teams, principles, and architects, coordinating effectively across organizational boundaries and geographies.
5+ years of experience administering large-scale production systems. 3+ years of experience in high-availability Internet, Cloud, or Data Center environments (Systems Administration, SRE, or NOC).
BS in Computer Science, Engineering, Physics, Mathematics, or equivalent experience.
Expert-level knowledge of Linux system administration and automation using Ansible and/or Python.
Strong experience with shell scripting, DNS, DHCP, storage systems, and core networking (IP Tables, routing, firewalls).
Experience with at least one workload manager (Slurm preferred) or job scheduling system in a production environment.
Strong experience troubleshooting and maintaining large-scale bare-metal infrastructure. Strong cross-team collaboration, documentation, and mentoring skills.
Experience improving processes for automation, reliability, and operational excellence.
Expertise using monitoring tools and problem ticketing systems. Strong problem-solving, analytical, and troubleshooting abilities.
Ways to Stand Out from the Crowd:
Advanced hands-on experience with Kubernetes, SLURM, and large-scale cluster management.
Familiarity with GPU hardware and high-performance computing environments.
Experience with observability and incident management tools (Grafana, OpenTelemetry, PagerDuty, JIRA). Cloud experience (AWS, Azure, GCP) is a plus; strong preference for on-prem expertise.
You will also be eligible for equity and .
These jobs might be a good fit
Share
- US, CA, Santa Clara
- time type
- Full time
- posted on
- Posted 5 Days Ago
- job requisition id
What you’ll be doing:
Design, develop and support CI processes of various products.
Collaborate with various teams across the globe to promote and improve CI practices.
Build infrastructure for effective, high quality, reliable development and release processes.
Be a part of an experienced team with a great atmosphere.
What we need to see:
B.Sc. (or equivalent experience) in Computer Engineering, Computer Science or related technical discipline
4+ year experience in Software development.
Solid experience with Linux operating system
Experience with Jenkins pipelines embedded with Groovy based libraries
Control of GIT SCM
Proven experience in Docker.
Excellent development abilities in python scripting language
Strong design, coding and debugging skills
High ability to focus on task execution with agility and multitasking
Great teammate
Ways to stand out from the crowd:
Proven background with design and implementation of complex CI/CD pipelines
Proven experience with GitLab and Gerrit SCM administration
You will also be eligible for equity and .
These jobs might be a good fit
