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Cloud Ops Engineer Jobs (NOW HIRING)

AutoZone

Systems Engineer - Cloud Ops

Memphis, TN · On-site

$54.25 - $72.50/hr

As a Systems Engineer on the Cloud Operations team, you will be responsible for deploying, managing, and optimizing our cloud-based infrastructure on Google Cloud Platform (GCP). You will work with ...

Redolent

Senior Data Ops Engineer

Chandler, AZ · Hybrid

$108K - $147K/yr

Senior Data Ops Engineer Location: Charlotte, NC; Irving, TX; Chandler, AZ; Columbus, OH; Des ... You will be an integral part of migrating on-premises systems to the Google Azure cloud and leading ...

Guru Schools

Dev Ops Engineer II (Contractor)

Philipsburg, PA · On-site

$42.25 - $58/hr

Position Title * Dev Ops Engineer II (Contractor) Position Responsibilities IN-PERSON INTERVIEW ... Jenkins, Puppet, Chef, or Ansible AWS & cloud/virtual infrastructure Docker & Kubernetes GitHub ...

West Advanced Technologies (WATI)

Dev Ops Engineer

Alhambra, CA · On-site

$55.75 - $76.25/hr

Dev Ops Engineer Alhambra, CA 12+ months Onsite Role Description: A DevOps Engineer serves as the ... Working knowledge of various tools, open-source technologies, and cloud services such as Microsoft ...

GDIT

WV · On-site

$50.25 - $67/hr

Automation, Cloud DevOps, Cloud Engineering, Networking, Troubleshooting Certifications: None Experience: 10 + years of related experience US Citizenship Required: No The Cloud DevOps Engineer ...

Traeger, Inc.

Junior Dev Ops Engineer

Salt Lake City, UT · On-site

$51 - $70/hr

They are seeking a motivated Junior Dev Ops Engineer to support and maintain cloud infrastructure while improving developer experience through automation and scalable systems. Responsibilities : • ...

Traeger, Inc.

Junior Dev Ops Engineer

Salt Lake City, UT · On-site

$51 - $70/hr

They are seeking a motivated Junior Dev Ops Engineer to support and enhance cloud infrastructure, build CI/CD pipelines, and improve the developer experience within their Technology team.

VeridianTech

Sr. DevOps Engineer

Cupertino, CA · Hybrid

$60 - $65/hr

Minimum Qualifications * 5+ years in Cloud Ops / SRE / DevOps roles. * Experience with GitOps + CI/CD (Jenkins, ArgoCD, etc.). * Strong in observability: Prometheus, Grafana, Splunk, etc.

Pae

Dev Ops Engineer - SME (Team 01)

Washington, DC · On-site

$59.75 - $81.75/hr

The Dev Ops Engineer SME is the leader of a team that will lead large-scale data analysis projects to design and deliver automated cloud-based infrastructure and deployments of applications. The Dev ...

Federal Express Corporation

Dev Ops Engineer III

Memphis, TN · Hybrid

$51.25 - $70.25/hr

... ops engineering. As an equivalent alternative, the employer will accept a Master's degree in ... Using Oracle Cloud, Azure, AWS, google. CI/CD engineering: CI/CD pipelines, GitHub Actions ...

CoAction

Cloud Engineer

Morristown, NJ · On-site

$57.25 - $76.75/hr

Work closely with 3rd party support providers on Cloud OPS details * Responsible for Backup and ... Familiarity with SDLC, DevOps * Familiarity with Agile project management framework * Bachelor ...

Raft

ML Ops Engineer

Tampa, FL · On-site

They are seeking an ML Ops Engineer to design, build, and maintain the infrastructure and pipelines ... A niche consulting organization focused on Cloud Native, DevSecOps, and Modern Application ...

CoAction

Cloud Engineer

Morristown, NJ · On-site

$57.25 - $76.75/hr

Work closely with 3rd party support providers on Cloud OPS details * Responsible for Backup and ... Familiarity with SDLC, DevOps * Familiarity with Agile project management framework * Bachelor ...

Remedy Robotics, Inc

Dev Ops Engineer

San Francisco, CA · On-site

$62.25 - $85/hr

We are looking to hire a Dev Ops Engineer for our Software Team. What You'll Do: * Own the ... Own cloud infrastructure for training, data processing, and remote services * Partner closely with ...

Mimecast

Senior ML Ops Engineer

Columbus, OH · On-site

$100K - $138K/yr

You will collaborate closely with ML Engineers, Software Engineers, SRE, and Cloud Platform teams ... Mentor ML Ops and ML Engineers on operational best practices. Participate in architectural reviews ...

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Cloud Ops Engineer information

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How much do cloud ops engineer jobs pay per hour?

As of Jun 17, 2026, the average hourly pay for cloud ops engineer in the United States is $62.89, according to ZipRecruiter salary data. Most workers in this role earn between $53.61 and $71.63 per hour, depending on experience, location, and employer.

Is DevOps engineer a high paying job?

DevOps engineers typically earn high salaries due to their expertise in automation, cloud platforms, and tools like Docker and Kubernetes. Compensation varies based on experience, location, and certifications, but it is generally considered a well-paying role in the tech industry.

What engineers make $500,000?

Senior cloud operations engineers, especially those with extensive experience, specialized skills in cloud architecture, and certifications like AWS Certified Solutions Architect or Google Cloud Professional Cloud Architect, can earn $500,000 or more annually. High compensation is often associated with leadership roles, working in large organizations, or managing complex cloud infrastructure at scale.

What are some common challenges faced by Cloud Ops Engineers when managing multi-cloud environments?

Cloud Ops Engineers working in multi-cloud environments often encounter challenges such as ensuring consistent security policies across platforms, managing cost optimization, and maintaining high availability. Coordinating deployments and monitoring tools between different providers can be complex, requiring strong documentation and automation skills. Effective collaboration with development, security, and network teams is essential to address these challenges and ensure seamless cloud operations.

What are the key skills and qualifications needed to thrive as a Cloud Ops Engineer, and why are they important?

To thrive as a Cloud Ops Engineer, you need expertise in cloud platforms (such as AWS, Azure, or Google Cloud), infrastructure automation, and a solid understanding of networking and security principles—often supported by a relevant degree or certifications like AWS Certified SysOps Administrator. Familiarity with tools like Terraform, Kubernetes, Docker, and CI/CD pipelines is typically required. Strong problem-solving, collaboration, and communication skills help Cloud Ops Engineers quickly address incidents and work effectively with cross-functional teams. These skills ensure reliable cloud environments, efficient deployments, and minimized downtime for critical business operations.

What does a cloud ops engineer do?

A cloud ops engineer manages and maintains cloud infrastructure, ensuring systems are reliable, scalable, and secure. They often work with cloud platforms like AWS, Azure, or Google Cloud, using tools such as automation scripts and monitoring software to optimize performance and troubleshoot issues.

What are Cloud Ops Engineers?

Cloud Ops Engineers, or Cloud Operations Engineers, are IT professionals responsible for managing, monitoring, and maintaining cloud-based infrastructure and services. They ensure cloud platforms run efficiently, securely, and reliably by automating processes, configuring resources, and troubleshooting issues. Cloud Ops Engineers often work with platforms like AWS, Azure, or Google Cloud, and collaborate with development and IT teams to optimize performance and cost. Their role is crucial in supporting business operations that rely on cloud technology.

What is the difference between Cloud Ops Engineer vs Cloud Engineer?

AspectCloud Ops EngineerCloud Engineer
CredentialsCertifications like AWS Certified SysOps Administrator, Azure Administrator, or Google Cloud Professional Cloud ArchitectSimilar certifications, often including cloud platform-specific certifications
Work EnvironmentFocus on deployment, monitoring, and maintaining cloud infrastructure, often in operational teamsDesigning, developing, and deploying cloud solutions, more project-focused
Employer & Industry UsageUsed in companies with large cloud operations, IT service providers, and cloud service teamsUsed across tech companies, startups, and enterprises building cloud-based applications

While both roles involve cloud technologies, Cloud Ops Engineers focus on managing and maintaining cloud infrastructure, ensuring operational stability. Cloud Engineers primarily design and develop cloud solutions, emphasizing architecture and deployment. Understanding these differences helps in choosing the right career path or job search focus.

What engineers make $300,000 a year?

Senior cloud operations engineers, cloud architects, and site reliability engineers with extensive experience, advanced certifications, and expertise in tools like AWS, Azure, or Google Cloud can earn $300,000 or more annually. High compensation often reflects leadership roles, specialized skills, and working in large or high-demand organizations.
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Cloud Ops Engineer jobs near you
Systems Engineer - Cloud Ops

Systems Engineer - Cloud Ops

AutoZone

Memphis, TN • On-site

$54.25 - $72.50/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago

AutoZone rating

5.3

Company rating: 5.3 out of 10

Based on 1,864 frontline employees who took The Breakroom Quiz

35th of 39 rated national retailers

Job description

Job Description
As a Systems Engineer on the Cloud Operations team, you will be responsible for deploying, managing, and optimizing our cloud-based infrastructure on Google Cloud Platform (GCP). You will work with technologies such as Terraform, Kubernetes (GKE), GitOps/ArgoCD, CI/CD pipelines, and observability tools to ensure reliable, secure, and scalable platform operations.
You will also contribute to our AI/ML platform initiatives, supporting infrastructure for LLM-based applications and AI-powered automation tools that enhance developer productivity and operational efficiency.
You will collaborate with development teams, SREs, and platform architects to ensure seamless deployment and delivery of applications while maintaining the highest standards of reliability, security, and performance.
Responsibilities
Cloud Infrastructure, Automation & Operations:
  • Design, build, and maintain cloud infrastructure using Terraform to automate provisioning, scaling, and lifecycle management of resources on GCP
  • Develop and maintain CI/CD pipelines using GitLab CI to automate build, test, and deployment workflows. Implement and maintain GitOps practices using ArgoCD for declarative, version-controlled application deployment
  • Monitor system performance using observability tools (Dynatrace, Cloud Monitoring, Prometheus/Grafana) and troubleshoot production issues
  • Participate in on-call rotation to provide 24/7 support for critical infrastructure incidents
  • Perform root cause analysis on incidents and implement preventive measures. Document runbooks, architecture decisions, and operational procedures

Kubernetes Platform Management:
  • Deploy, configure, and manage containerized applications on Google Kubernetes Engine (GKE), including GKE Autopilot and Standard clusters
    Manage cluster lifecycle including upgrades, node pool configurations, and capacity planning
  • Troubleshoot pod failures, CrashLoopBackOff, OOMKilled events, and container resource issues
  • Configure and optimize resource requests/limits, Horizontal Pod Autoscaler (HPA), and Vertical Pod Autoscaler (VPA)
  • Manage Kubernetes networking including Services, Ingress controllers, Network Policies, and DNS configurations. Implement and manage service mesh (Istio) for traffic management, observability, and security
  • Manage secrets and configurations using Kubernetes Secrets, ConfigMaps, and external secret management tools. Implement pod security standards, RBAC policies, and workload identity configurations

AI/ML Platform & Automation:
  • Support infrastructure for AI/ML workloads including LLM-based applications and model serving platforms
  • Deploy and manage AI-powered developer tools such as coding assistants (Claude Code, GitHub Copilot) and agentic AI systems. Explore and implement AI-assisted incident response and automated remediation workflows
  • Build and maintain infrastructure for Retrieval-Augmented Generation (RAG) pipelines and vector databases
  • Configure GPU-enabled node pools and optimize resource allocation for AI/ML workloads
  • Implement MCP (Model Context Protocol) servers and AI agent integrations for operational automation
  • Stay current with emerging AI technologies and evaluate their applicability for infrastructure automation

Qualifications
Kubernetes Expertise (Essential):
  • 3+ years hands-on experience with Kubernetes in production environments
  • Deep understanding of Kubernetes architecture: API server, etcd, scheduler, controller manager, kubelet
  • Experience with GKE (Standard and Autopilot modes), including cluster creation, upgrades, and maintenance
  • Proficiency in troubleshooting workloads: analyzing pod logs, events, describe outputs, and container states
  • Strong understanding of resource management: requests, limits, QoS classes, and resource quotas
  • Experience with Kubernetes networking: Services (ClusterIP, NodePort, LoadBalancer), Ingress, Network Policies
  • Knowledge of Kubernetes storage: PersistentVolumes, PersistentVolumeClaims, StorageClasses, dynamic provisioning
  • Experience with Helm charts for application packaging and deployment
  • Familiarity with Kubernetes security: RBAC, Pod Security Standards, Secrets management, Workload Identity
  • Understanding of Kubernetes observability: metrics-server, kubectl top, container resource monitoring
  • Experience debugging common issues: ImagePullBackOff, CrashLoopBackOff, OOMKilled, Evicted pods, pending pods

Cloud & Infrastructure:
  • 3+ years of experience with Google Cloud Platform (GCP) services including GKE, Cloud Run, Cloud SQL, Memorystore, Pub/Sub, and Cloud Logging
  • Strong experience with Terraform for infrastructure as code (IaC)
  • Understanding of cloud networking: VPCs, subnets, firewall rules, Cloud NAT, Private Service Connect

CI/CD & GitOps:
  • Proficiency with GitLab CI/CD pipelines
  • Experience with ArgoCD or similar GitOps tools
  • Understanding of Helm charts and Kustomize for Kubernetes manifest management

Observability & Troubleshooting:
  • Experience with monitoring and APM tools (Dynatrace, Datadog, Prometheus, Grafana)
  • Ability to analyze logs, metrics, and traces to diagnose production issues
  • Familiarity with JVM troubleshooting (heap dumps, thread analysis, GC tuning, connection pool issues)

AI/ML Knowledge:
  • Basic understanding of LLM concepts, prompt engineering, and AI model deployment
  • Familiarity with AI coding assistants and their integration into development workflows
  • Interest in agentic AI systems and autonomous automation tools
  • Exposure to vector databases (Pinecone, Weaviate, pgvector) and RAG architectures is a plus

Systems & Networking:
  • Strong Linux administration skills
  • Understanding of networking concepts (DNS, load balancing, firewalls, TCP/IP)
  • Experience with service mesh (Istio) is a plus

General:
  • Excellent problem-solving and analytical skills
  • Strong written and verbal communication
  • Ability to work effectively in a collaborative, cross-functional environment
  • Experience working in an Agile/DevOps culture
  • Bachelor's degree in Computer Science, Information Technology, or related field (or equivalent experience)

About Us
Since opening our first store in 1979, AutoZone has grown into a leading retailer and distributor of automotive parts and accessories across the Americas. Our customer-first mindset and commitment to Going the Extra Mile define who we are, for both our customers and AutoZoners. Working at AutoZone means being part of a team that values dedication, teamwork, and growth. Whether you're helping customers or building your career, we provide tools and support to help you succeed and drive your future.
Benefits at AutoZone
AutoZone offers thoughtful benefits programs with one-on-one benefits guidance designed to improve AutoZoners' physical, mental and financial well-being.
All AutoZoners (Full-Time and Part-Time):
  • Competitive pay
  • Unrivaled company culture
  • Medical, dental and vision plans
  • Exclusive discounts and perks, including an AutoZone in-store discount
  • 401(k) with company match and Stock Purchase Plan
  • AutoZoners Living Well Program for free mental health support
  • Opportunities for career growth

Additional Benefits for Full-Time AutoZoners:
  • Paid time off
  • Life, and short- and long-term disability insurance options
  • Health Savings and Flexible Spending Accounts with wellness rewards
  • Tuition reimbursement

Minimum age requirements may apply. Eligibility and waiting period requirements may apply; benefits for AutoZoners in Puerto Rico, Hawaii, or the U.S. Virgin Islands may differ. Learn more about all that AutoZone has to offer at Careers.AutoZone.com.
We proudly support Veterans, Active-duty Service Members, Reservists, National Guard and Military Families. Your experience is highly valued, and we encourage you to apply to join our team.
Online Application:
An online application is required. Click the Apply button to complete your application. For step-by-step instructions on how to apply visit careers.autozone.com/candidateresources.
AutoZone, and its subsidiary, ALLDATA are equal opportunity employers. All applicants will be considered for employment without attention to age, race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status, or any other legally protected categories.

What AutoZone employees say

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About AutoZone

Sourced by ZipRecruiter

AutoZone Inc (AutoZone) is a retailer and distributor of automotive replacement parts and accessories. The company provides new and remanufactured automotive hard parts, maintenance items, accessories, and non-automotive products. AutoZone sells automotive diagnostic and repair software through its subsidiary ALLDATA.

Industry

Motor vehicle and motor vehicle parts wholesalers

Company size

10,000+ Employees

Headquarters location

Memphis, TN, US

Year founded

1979

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