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Devsecops Jobs in Tennessee (NOW HIRING)

DevSecOps transformations; Cloud platforms (AWS, Azure, Google Cloud Platform) and their key technologies, including: Observability, AIOps, APM; Industry leading discovery technologies (SCCM, Tanium ...

Remote DevOps Engineer

Nashville, TN · On-site

$120K - $155K/yr

Familiarity with Agile and DevSecOps methodologies. * AWS Certified DevOps Engineer, Kubernetes (CKA), Azure DevOps Engineer, or similar certifications are a plus. Why Join Our Team? * 100% remote ...

OpenShift DevOps Engineer

Tullahoma, TN · On-site

$45.75 - $62.50/hr

Familiarity with DevSecOps practices and security automation. Arcarithm is an Equal Opportunity employer and all qualified candidates will receive consideration for employment without regard to race ...

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Shop Floor Clerk

Lewisburg, TN · On-site

$21.55/hr

... DevSecOps, Managed Services, Workforce Solutions, and Healthcare Staffing. We are a trusted partner to Federal, State, Local, Education (SLED), Healthcare, and Commercial organizations, delivering ...

SELinux, Seccomp, linux capabilities), experience with DevSecOps, and general security best practices. * Experience with AIOps and MLOps tooling - e.g. KServe, Kubeflow, vLLM, NVidia Enterprise AI ...

Application Security Engineer

Nashville, TN · On-site

$56.75 - $75.75/hr

Experience integrating security into CI/CD pipelines and DevSecOps workflows. * Experience working within AWS, Azure, or Google Cloud Platform environments. * Knowledge of modern authentication and ...

Bachelor's degree in Computer Science, Information Security, Engineering, or a related technical field required * 3+ years in hands-on application security, DevSecOps, or security engineering roles.

Senior Security Engineer, IAM

Nashville, TN · On-site

$110K - $151K/yr

AI DevSecOps & Collaboration * Design identity controls embedded in AI-augmented CI/CD pipelines (secret scanning, IaC identity policy, workload identity) with AI-generated fix recommendations ...

Cyber Data Protection/PKI Manager

Memphis, TN · On-site

$107K - $145K/yr

Experience with DevSecOps integration, CI/CD pipeline enablement, and API-driven automation * Working knowledge of Python, PowerShell, Bash, REST APIs, or infrastructure automation patterns

Showing results 21-40

Devsecops information

See Tennessee salary details

$29.5K

$74.8K

$112.1K

How much do devsecops jobs pay per year?

As of Sep 10, 2026, the average yearly pay for devsecops in Tennessee is $74,802.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,200.00 and $88,500.00 per year, depending on experience, location, and employer.

What is a DevSecOps?

A DevSecOps job focuses on integrating security into the software development and operations process. Professionals in this role work to automate security measures, ensure compliance, and identify vulnerabilities throughout the development lifecycle. They collaborate with development, operations, and security teams to embed security best practices into CI/CD pipelines. The goal is to create secure software efficiently without slowing down development and deployment.

What are the key skills and qualifications needed to thrive in the DevSecOps position?

To thrive as a DevSecOps professional, you need expertise in secure software development, CI/CD pipelines, cloud infrastructure, automation, and strong knowledge of cybersecurity principles, often supported by a degree in computer science or a related field. Familiarity with tools such as Jenkins, Docker, Kubernetes, Terraform, and security certifications like CISSP or AWS Certified Security are typically required. Strong problem-solving abilities, effective communication, and a collaborative mindset are valuable soft skills. These are essential to ensuring security is integrated throughout the development lifecycle while enabling efficient deployment and cross-team collaboration.

What are some common challenges DevSecOps professionals face on the job?

DevSecOps professionals often navigate the challenge of balancing rapid development cycles with the need for robust security, which requires both technical adaptability and continuous vigilance. They may encounter resistance to adopting new security practices within development teams, making communication and advocacy skills crucial. Additionally, staying updated with evolving security threats and ensuring compliance with industry standards can be demanding. These challenges offer opportunities to make a significant impact on organizational security and to develop expertise in both security and automation, leading to diverse career advancement possibilities.

Is DevSecOps a good career?

DevSecOps is a growing field that combines development, security, and operations to improve software security and deployment efficiency. It requires skills in automation, cloud platforms, and security tools, making it a valuable and in-demand career path with strong job prospects.

What are the most commonly searched types of Devsecops jobs in Tennessee?

The most popular types of Devsecops jobs in Tennessee are:

What are popular job titles related to Devsecops jobs in Tennessee?

For Devsecops jobs in Tennessee, the most frequently searched job titles are:

What job categories do people searching Devsecops jobs in Tennessee look for?

The top searched job categories for Devsecops jobs in Tennessee are:

Infographic showing various Devsecops job openings in Tennessee as of September 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, 11% Hybrid, and 39% Remote job distribution, with an average salary of $74,802 per year, or $36 per hour.

AI Security Systems Architect

Oak Ridge, TN • On-site

Oak Ridge National Laboratory
Scientific Research and Development Services • 5 - 10K employees

$56.50 - $73/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 26 days ago


Oak Ridge National Laboratory rating

8.8

Company rating: 8.8 out of 10

Based on 16 frontline employees who took The Breakroom Quiz


Job description

Requisition Id 16750
Overview:
We are seeking an AI Security Systems Architect to design and develop state-of-the-art systems for security testing and evaluation of artificial intelligence technologies. This role involves creating scalable infrastructure to support cutting-edge adversarial testing methodologies, such as red team vs. blue team exercises and AI-on-AI evaluation frameworks.
The ideal candidate will bring a strong foundation in systems architecture, a working knowledge of cluster computing and scaling, and a passion for advancing the security of AI systems under real-world and simulated conditions. This position is critical for ensuring that AI systems remain resilient, robust, and secure against evolving threats. This person will play a key role within ORNL's Center for AI Security Research (CAISER) where he or she will work to advance the state-of-the-art in Automated, Agentic workflows for AI Security research, testing and evaluation.
Key Responsibilities:
  • Design and Development for Security Testing
    • Architect and/or implement scalable systems tailored specifically for security testing and evaluation of AI systems.
    • Develop frameworks to support red/blue team exercises in simulated environments, enabling manual and automated adversarial testing at scale.
    • Build and integrate AI-on-AI testing infrastructures, where AI models can actively challenge each other in adversarial contexts to detect vulnerabilities or weaknesses.
  • Scalability and Cluster Computing
    • Design distributed systems that support high-throughput simulations and stress-testing of AI systems under adversarial conditions.
    • Implement cluster computing solutions to efficiently scale testing environments supporting large datasets and high-performance AI workloads.
    • Optimize resource allocation for simultaneous testing tasks and real-time tracking of security metrics.
  • Adversarial and Threat Modeling Infrastructure
    • Develop systems to automate the generation and execution of diverse adversarial testing scenarios, including techniques for perturbation, poisoning, and evasion attacks.
    • Design platforms for threat modeling in AI systems, enabling comprehensive vulnerability assessments tailored to diverse use cases, from cloud-hosted models to edge deployments.
    • Enable rapid prototyping and iteration for adversarial defenses integrated into the architectural design.
  • Collaboration and Security Validation
    • Work closely with security specialists, AI researchers, and DevSecOps teams to evaluate and validate the security of AI systems aligned with organizational security standards.
    • Partner with stakeholders to design customized testing environments that simulate real-world attack and defense scenarios in production-like conditions.

Required Qualifications:
  • MS Degree in Computer Science, Computer Engineering, Cybersecurity, or related fields with 2-7 years of experience or PhD in Computer Science, Computer Engineering, Cybersecurity, or related fields with 2 years of experience.
  • Experience architecting and implementing complex distributed systems and willingness to learn
  • Experience in cluster computing and scaling for high-performance environments, with hands-on experience in frameworks such as Hadoop, Spark, or Kubernetes and willingness to learn

Preferred Qualifications:
  • Familiarity with techniques for AI-on-AI adversarial evaluation, including reinforcement learning-based adversarial testing setups.
  • Expertise in designing systems that support red/blue team operations alongside DevSecOps integrations.
  • Knowledge of privacy-preserving AI methods, secure federated learning, and cryptographic protections.
  • Research or publication experience in adversarial testing, distributed systems, and AI system security.
  • Experience in supporting continuous integration pipelines for AI security validation in production environments.

Special Requirements:
  • This position requires the ability to obtain and maintain a Secret Compartmented Information (SCI) clearance from the Department of Energy. As such, this position is a Workplace Substance Abuse (WSAP) testing designated position. WSAP positions require passing a pre-placement drug test and participation in an ongoing random drug testing program. In addition, due the SCI, you may also be subject to random polygraph testing.

About ORNL:
As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year legacy of addressing the nation's most pressing challenges. Our team is made up of over 7,000 dedicated and innovative individuals! Our goal is to create an environment where a variety of perspectives and backgrounds are valued, ensuring ORNL is known as a top choice for employment. These principles are essential for supporting our broader mission to drive scientific breakthroughs and translate them into solutions for energy, environmental, and security challenges facing the nation.
ORNL offers competitive pay and benefits programs to attract and retain individuals who demonstrate exceptional work behaviors. The laboratory provides a range of employee benefits, including medical and retirement plans and flexible work hours, to support the well-being of you and your family. Employee amenities such as on-site fitness, banking, and cafeteria facilities are also available for added convenience.
Other benefits include the following: Prescription Drug Plan, Dental Plan, Vision Plan, 401(k) Retirement Plan, Contributory Pension Plan, Life Insurance, Disability Benefits, Generous Vacation and Holidays, Parental Leave, Legal Insurance with Identity Theft Protection, Employee Assistance Plan, Flexible Spending Accounts, Health Savings Accounts, Wellness Programs, Educational Assistance, Relocation Assistance, and Employee Discounts.
If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email: ORNLRecruiting@ornl.gov.
This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.
We accept Word (.doc, .docx), Adobe (unsecured .pdf), Rich Text Format (.rtf), and HTML (.htm, .html) up to 5MB in size. Resumes from third party vendors will not be accepted; these resumes will be deleted and the candidates submitted will not be considered for employment.
ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

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