Systems Engineer Visa Sponsorship Jobs in Tennessee
Systems engineer roles in Tennessee are concentrated in Nashville, Huntsville's cross-border tech corridor, and Oak Ridge, where defense contractors like Leidos and Booz Allen Hamilton, alongside healthcare IT firms such as HCA Healthcare and Change Healthcare, regularly hire international talent. The state's strong defense and energy sectors make visa sponsorship a practical reality for qualified candidates.
Find Systems Engineer JobsOverview
Showing 5 of 103+ Systems Engineer Jobs in Tennessee with Visa Sponsorship
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
See all 103+ Systems Engineer Jobs in Tennessee with Visa Sponsorship
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Systems Engineer Jobs in Tennessee with Visa Sponsorship.
Get Access To All JobsINTRODUCTION
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.
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
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)
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.
INTRODUCTION
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.
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
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)
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.
Systems Engineer Job Roles in Tennessee
See all 103+ Systems Engineer Jobs in Tennessee
Sign up for free to filter by visa type, set job alerts, and find employers with verified sponsorship history.
Search Systems Engineer Jobs in TennesseeSystems Engineer Jobs in Tennessee: Frequently Asked Questions
Which companies sponsor visas for systems engineers in Tennessee?
Defense and government contractors are among the most active sponsors for systems engineers in Tennessee. Leidos, Booz Allen Hamilton, and SAIC have hiring activity in the Oak Ridge and Nashville areas. Healthcare technology companies including HCA Healthcare and Optum also sponsor systems engineers. Manufacturing firms in the automotive and advanced materials sectors, such as those clustered around Chattanooga and Memphis, round out the sponsorship picture.
Which visa types are most common for systems engineer roles in Tennessee?
The H-1B visa is the most common visa for systems engineers in Tennessee, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in systems engineering, computer science, or a related field. Some defense-sector employers also hire through the TN visa for Canadian and Mexican nationals. Candidates with exceptional records may qualify for the O-1A. Many roles at defense contractors require security clearances, which can affect sponsorship timelines.
Which cities in Tennessee have the most systems engineer sponsorship jobs?
Nashville leads in volume, driven by its healthcare IT sector and a growing concentration of technology employers. Oak Ridge is a strong second, anchored by the Oak Ridge National Laboratory and surrounding federal contractors that regularly hire systems engineers. Knoxville benefits from its proximity to Oak Ridge and the University of Tennessee's engineering pipeline. Chattanooga has emerging activity in advanced manufacturing and logistics technology that supports systems engineering hiring.
How to find systems engineer visa sponsorship jobs in Tennessee?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it straightforward to find systems engineer roles in Tennessee without sorting through positions that don't support international candidates. You can narrow results by city, so searching Nashville, Oak Ridge, or Knoxville surfaces the most relevant opportunities. Because Tennessee's sponsoring employers span defense contracting, healthcare IT, and manufacturing, using a focused tool like Migrate Mate saves significant time compared to broad searches.
Are there state-specific factors that affect visa sponsorship for systems engineers in Tennessee?
Tennessee's defense and federal research presence means a meaningful share of systems engineer roles require U.S. security clearances, which are generally not available to non-citizens and can limit sponsorship options at certain employers. However, non-classified roles at the same contractors, as well as positions in healthcare IT and manufacturing, remain open to sponsored candidates. Tennessee's lower cost of living compared to coastal tech hubs also means prevailing wage obligations are generally met at competitive salary levels, which can make sponsorship more attractive for employers.
What is the prevailing wage for sponsored systems engineer jobs in Tennessee?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.