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Puppet Jobs in Tennessee (NOW HIRING)

ITR

Senior Linux HPC Systems Engineer

Oak Ridge, TN

Three (3) or years of proven experience with configuration management and automation tools such as Git, Jenkins, Ansible, or Puppet. * Moderate proficiency in at least one scripting language such as ...

ITR

Senior Linux HPC Storage Engineer

Oak Ridge, TN

Three (3) or more years working with configuration management and automation tools such as Git, Jenkins, Ansible, or Puppet. * Proficiency with at least one scripting language (Bash, Python, Perl ...

Cliftonlarsonallen

Manager of DevOps

Nashville, TN · On-site

$51 - $69.75/hr

Familiarity with configuration management tools (e.g., Terraform, Ansible, Chef, Puppet) * Experience with Infrastructure as Code (IaC) using Terraform * Familiarity with Azure Boards or similar work ...

Cliftonlarsonallen

DevEx Architect

Nashville, TN

Familiarity with configuration management tools (e.g., Terraform, Ansible, Chef, Puppet) #LI-DJ1 Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities Click here to learn about ...

Cadre5

Senior Platform Engineer

Knoxville, TN

$93K - $127K/yr

Experience with Infrastructure-as-Code tooling such as Terraform, Helm, and Puppet * Experience implementing systems-level security technologies (e.g. SELinux, Seccomp, linux capabilities ...

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How much do puppet jobs pay per hour?

As of Jun 15, 2026, the average hourly pay for puppet in Tennessee is $40.77, according to ZipRecruiter salary data. Most workers in this role earn between $12.45 and $53.03 per hour, depending on experience, location, and employer.

What are some common challenges faced by professionals working with Puppet in a DevOps environment?

Professionals working with Puppet in a DevOps environment often encounter challenges such as managing complex infrastructure as code, ensuring consistency across diverse systems, and keeping up with frequent updates in both the tool and the underlying environments. Collaborating effectively with cross-functional teams can require clear communication and thorough documentation, as configuration changes made with Puppet affect multiple services and stakeholders. Additionally, troubleshooting issues in large-scale deployments may require a deep understanding of both Puppet modules and the systems being managed.

What is the difference between Puppet vs Ansible?

AspectPuppetAnsible
Primary UseConfiguration management and automationConfiguration management, application deployment, and task automation
LanguageDomain-specific language (Puppet DSL)YAML-based playbooks (Ansible Playbooks)
Setup ComplexityRequires Puppet Master server setupAgentless, uses SSH, easier initial setup
Work EnvironmentTypically in data centers and enterprise environmentsFlexible, cloud, and hybrid environments

Both Puppet and Ansible are popular automation tools used for configuration management. Puppet is known for its model-driven approach and requires a master-agent setup, making it suitable for large-scale, enterprise environments. Ansible, on the other hand, is agentless and uses simple YAML playbooks, offering easier setup and flexibility for various environments. The choice depends on your infrastructure needs and preferred management style.

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

To thrive as a Puppet Engineer, you need strong skills in system administration, configuration management, and scripting languages like Ruby, along with experience in automation and infrastructure as code. Familiarity with the Puppet automation tool, CI/CD pipelines, cloud platforms, and related certifications such as Puppet Certified Practitioner are typically required. Effective problem-solving, collaboration, and communication skills help you work efficiently with cross-functional teams and resolve complex deployment issues. These skills ensure reliable, scalable, and consistent IT environments, which are critical for modern infrastructure management.

What are Puppet professionals and what do they do?

Puppet professionals are IT specialists who use Puppet, an open-source automation tool, to manage and automate the configuration of servers and infrastructure. Their main responsibilities include writing and maintaining Puppet code, deploying updates, ensuring systems are configured consistently, and troubleshooting automation issues. They often work in DevOps teams to streamline software deployment and improve system reliability. Puppet professionals help organizations save time, reduce errors, and scale their IT operations efficiently.
What are popular job titles related to Puppet jobs in Tennessee? For Puppet jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Puppet jobs in Tennessee look for? The top searched job categories for Puppet jobs in Tennessee are:
What cities in Tennessee are hiring for Puppet jobs? Cities in Tennessee with the most Puppet job openings:
Puppet jobs near you
Infographic showing various Puppet job openings in Tennessee as of June 2026, with employment types broken down into 91% Full Time, 3% Part Time, and 6% Contract. Highlights an 86% Physical, 6% Hybrid, and 8% Remote job distribution, with an average salary of $84,798 per year, or $40.8 per hour.
AI Engineering Manager - SFL Scientific

AI Engineering Manager - SFL Scientific

Deloitte

Nashville, TN • On-site

Full-time

Posted 24 days ago

Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

58th of 138 rated financial services

Job description

Job Summary:
Deloitte's Strategy & Transactions team is seeking an AI Engineering Manager to lead the design, development, and deployment of innovative AI applications across various sectors. This role involves collaborating with clients to create robust AI platforms and cloud solutions, while mentoring junior team members and ensuring the successful implementation of AI strategies.
Responsibilities:
• Work with clients to design, develop, and deploy new architectures to support machine learning & automation applications
• Leverage advanced technical skills in modern data architecture, data science engineering, data transformation, and management of structured and unstructured data sources using cloud computing or on-prem technologies
• Design and lead development on scalable, high-performance data architecture solutions that supports both the client business as well as AI/GenAI use cases
• Support and enhance data architecture, and data pipelines, and define database schemas (Graph, SQL, NoSQL) to develop algorithm scalability and deployment based on agile business priorities and initiatives
• Participate in architectural and deployment discussions to ensure solutions are designed for successful scale, security, and high availability in the cloud or on prem
• Adopt best engineering practices in automation, HPC and AI/GenAI infrastructure and design patterns
• Define and lead technology proof of concepts to ensure feasibility of new data and cloud technology solutions
• Display strong thought leadership and execution in pursuit of modern data architecture principles and technology modernization
• Mentor, motivate, and coach junior members on technical best practices and inspire professional development
Qualifications:
Required:
• Bachelor's degree in a STEM field (Computer Science, Engineering, Physics, etc.)
• 6+ years of experience working in data engineering, data science, software engineering, MLOps specializing in AI and Machine Learning deployment
• 6+ years of experience in designing cloud solutions and supporting production projects, including hands-on experience with AWS services (or Azure, GCP equivalents)
• 6+ years of programming experience with Linux Shell/CLI, Python, SQL, PowerShell, etc.
• 4+ years of experience managing teams in technical delivery and delivering complex and critical projects
• 4+ years of experience in DevOps and leveraging CI/CD services: Puppet, Ansible, Chef, Airflow, Terraform, Jenkins etc.
• 4+ years of experience with database development and ETL/ELT pipelines (relational, NoSQL, Neo4j)
• 3+ years of experience with deployment and optimization: Kubernetes, Docker, NVIDIA TensorRT/Triton, RAPIDs, Kubeflow, MLflow, Kafka, etc.
• Live within commuting distance to one of Deloitte's consulting offices
• Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
• Limited immigration sponsorship may be available
Preferred:
• Master's degree in Computer Science, Engineering, Physics, etc. or related STEM field
• AWS/Azure Certifications (AWS/Azure Certified: SysOps Administrator, DevOps Engineer, Solutions Architect)
• 2+ years of experience with GPU computing (CUDA, OpenCL) and HPC system software stack
Company:
Deloitte drives progress. Our firms around the world help clients become leaders wherever they choose to compete. Founded in 1900, the company is headquartered in Marunouchi, JPN, with a team of 10001+ employees. The company is currently Late Stage.

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