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Ai Devops Engineer Jobs (NOW HIRING)

Tenex.AI Inc

Senior DevOps Engineer

San Jose, CA · On-site +1

$152K - $195K/yr

TENEX is an AI-native, automation-first, built-for-scale Managed Detection and Response (MDR ... As a Senior DevOps Engineer at TENEX, you will play a pivotal role in designing, implementing, and ...

Monogram Health

DevOps Engineer

Brentwood, TN · On-site

$50 - $68.25/hr

They are seeking a DevOps Engineer to develop and maintain CI/CD pipelines, automate job runs, and ... AI platforms and automating notebook execution. • Proficiency in scripting languages for ...

Booz Allen Hamilton

DevOps Engineer

Eglin, FL

$77K - $176K/yr

DevOps Engineer The Opportunity: DevOps engineering requires a specific mix of development ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

Booz Allen Hamilton

DevOps Engineer

Arlington, VA · On-site

$62K - $141K/yr

As a DevOps engineer, you know that these skills create efficiency and effectiveness so you can ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

Booz Allen Hamilton, Inc.

DevOps Engineer

Arlington, VA · On-site

$62K - $141K/yr

DevOps Engineer The Opportunity: DevOps engineering requires a specific mix of development ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

Booz Allen Hamilton

DevOps Engineer

Eglin, FL

$77K - $176K/yr

DevOps Engineer The Opportunity: DevOps engineering requires a specific mix of development ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

Booz Allen Hamilton

DevOps Engineer

Arlington, VA

$62K - $141K/yr

DevOps Engineer The Opportunity: DevOps engineering requires a specific mix of development ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

Booz Allen Hamilton

DevOps Engineer

Arlington, VA

$62K - $141K/yr

DevOps Engineer The Opportunity: DevOps engineering requires a specific mix of development ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

Ariadne

DevOps Engineer

Bethesda, MD · On-site

$56.25 - $77/hr

Ariadne is seeking a DevOps Engineer to help develop and continuously improve a modern DevOps ... analytics with its patented cutting edge AI technology. Founded in 2019, the company is ...

Campminder

Senior DevOps Engineer

Boulder, CO · On-site +1

$134K - $173K/yr

This person will partner with AI engineering experts to incorporate AI into our engineering ... As a Senior DevOps Engineer on our Platform team, you will: * Transform our DevOps platform and ...

Renesas Electronics

DevOps Engineer

Los Angeles, CA · On-site

$150K - $160K/yr

AI-Driven Infrastructure Engineering: Leverage AI-augmented workflows to generate infrastructure modules, refine deployment scripts, and accelerate operational improvements while maintaining rigorous ...

Renesas Electronics

DevOps Engineer

Los Angeles, CA · Hybrid

$56.75 - $77.75/hr

AI-Driven Infrastructure Engineering: Leverage AI-augmented workflows to generate infrastructure modules, refine deployment scripts, and accelerate operational improvements while maintaining rigorous ...

Asurion

$57 - $78/hr

Specific emphasis in this role should be put on using AI to automate the most common DevOps tasks. Responsibilities: * Automate the deployment, configuration and management of cloud infrastructure ...

Asurion

Staff DevOps Engineer

Sterling, CO · On-site

$48 - $65.75/hr

Specific emphasis in this role should be put on using AI to automate the most common DevOps tasks. Responsibilities: * Automate the deployment, configuration and management of cloud infrastructure ...

Wolfe, LLC

DevOps Engineer

Pittsburgh, PA · On-site

$111K - $129K/yr

The DevOps Engineer will collaborate with cross-functional teams-including Product, Development, QA, Security, AI, and IT-to ensure reliable, automated, secure, and scalable infrastructure. This is a ...

GAC Solutions Inc.

DevOps Engineer

Seattle, WA · On-site

$60 - $82.25/hr

Job Title: Devops Engineer Location: Seattle, WA (Onsite) Duration: Contract 6+months NOTES: LOCALS ... Design, develop, and support platform services used for hosting applications, microservices, and AI ...

Allegis Group

DevOps Engineer (AIOps)

Hanover, MD · On-site

$52 - $71.25/hr

Implement AI-enabled operational capabilities focused on incident visibility, monitoring, alert correlation, workflow automation, operational analytics, and engineering efficiency. * Improve ...

CohnReznick

Applied AI Platform & DevOps Engineer

Austin, TX · On-site

$52.25 - $71.50/hr

They are seeking an Applied AI Platform & DevOps Engineer Senior Manager to lead the development and execution of AI-enhanced business solutions, overseeing the full lifecycle from problem definition ...

Allegis Group

DevOps Engineer (AIOps)

Jacksonville, FL · On-site

$49 - $67/hr

Implement AI-enabled operational capabilities focused on incident visibility, monitoring, alert correlation, workflow automation, operational analytics, and engineering efficiency. * Improve ...

Extreme Engineering Solutions

DevOps Engineer

Verona, WI · On-site

$54 - $74/hr

As a DevOps Engineer you will play a pivotal role in enhancing our software development lifecycle ... Develop and maintain CI/CD pipelines, web and cli applications, deployment infrastructures, and AI ...

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All JobsAi Devops Engineer Jobs

Ai Devops Engineer information

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How much do ai devops engineer jobs pay per hour?

As of Jun 26, 2026, the average hourly pay for ai devops engineer in the United States is $60.53, according to ZipRecruiter salary data. Most workers in this role earn between $50.72 and $69.47 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an AI DevOps Engineer, and why are they important?

To thrive as an AI DevOps Engineer, you need expertise in software engineering, machine learning pipelines, and cloud infrastructure, often backed by a degree in computer science or a related field. Familiarity with tools like Docker, Kubernetes, CI/CD systems, version control (e.g., Git), and cloud platforms (AWS, Azure, GCP), as well as certifications such as AWS Certified DevOps Engineer, are highly valuable. Strong problem-solving, collaboration, and communication skills help you work effectively with cross-functional teams and adapt to evolving project requirements. These competencies are essential to ensure robust, scalable, and efficient deployment of AI solutions in production environments.

What are AI DevOps Engineers?

AI DevOps Engineers are professionals who blend expertise in artificial intelligence (AI) and DevOps practices to streamline the development, deployment, and maintenance of AI-powered applications. They automate and manage the continuous integration and continuous deployment (CI/CD) pipelines for machine learning models, ensuring scalability, reliability, and efficiency in production environments. Their role also includes monitoring AI systems, managing model versions, and collaborating with data scientists, software engineers, and IT teams to bridge the gap between development and operations. This position is crucial for organizations looking to operationalize AI solutions at scale.

How does an AI DevOps Engineer typically collaborate with data scientists and software engineers on AI projects?

An AI DevOps Engineer plays a crucial role in bridging the gap between data scientists and software engineers by streamlining the deployment and monitoring of AI models. They often work closely with data scientists to automate model training, testing, and deployment pipelines, ensuring that models move smoothly from development to production. Additionally, they collaborate with software engineers to integrate models into scalable applications, manage infrastructure, and set up monitoring systems to track performance and reliability. This role requires strong communication skills and a proactive approach to troubleshooting issues that arise in cross-functional teams.

What is the difference between Ai Devops Engineer vs Data Engineer?

AspectAi Devops EngineerData Engineer
Required CredentialsCertifications in cloud platforms, DevOps tools, AI/ML frameworksCertifications in data management, SQL, cloud platforms
Work EnvironmentCollaborates with AI/ML teams, DevOps, cloud infrastructureWorks with data pipelines, databases, big data tools
Employer & Industry UsageTech companies, AI startups, cloud service providersFinance, healthcare, e-commerce, data-driven industries

Ai Devops Engineers focus on deploying and maintaining AI/ML models in production using DevOps practices, while Data Engineers build and manage data pipelines and infrastructure. Both roles require cloud and scripting skills but serve different stages of data and AI workflows.

More about Ai Devops Engineer jobs
What cities are hiring for Ai Devops Engineer jobs? Cities with the most Ai Devops Engineer job openings:
What states have the most Ai Devops Engineer jobs? States with the most job openings for Ai Devops Engineer jobs include:
What job categories do people searching Ai Devops Engineer jobs look for? The top searched job categories for Ai Devops Engineer jobs are:
Ai Devops Engineer jobs near you
Infographic showing various Ai Devops Engineer job openings in the United States as of June 2026, with employment types broken down into 98% Full Time, 1% Part Time, and 1% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $125,908 per year, or $60.5 per hour.

Senior DevOps Engineer

Tenex.AI Inc

San Jose, CA • On-site, Remote

$152K - $195K/yr

Full-time

Posted 21 days ago

Job description

Company Overview:
TENEX is an AI-native, automation-first, built-for-scale Managed Detection and Response (MDR) provider. We are a force multiplier for defenders, helping organizations enhance their cybersecurity posture through advanced threat detection, rapid response, and continuous protection. Our team is composed of industry experts with deep experience in cybersecurity, automation and AI-driven solutions. Backed by leading investors, we are rapidly growing and seeking top talent to join our mission of revolutionizing the AI-Native MDR landscape.
We're a fast growing startup backed by industry experts and top tier investors led by Crosspoint Capital Partners and also backed by Shield Capital, DTCP (formerly Deutsche Telekom Capital Partners), Deepwork Capital, and the Florida Opportunity Fund. Seed round led by Andreessen Horowitz (a16z). As an early employee, you'll play a meaningful role in defining and building our culture. Get in on the ground floor. We're a small but well-funded team that just raised a substantial round - joining now comes with limited risk and unlimited upside.
As a Senior DevOps Engineer at TENEX, you will play a pivotal role in designing, implementing, and optimizing our cloud infrastructure and deployment pipelines. You will work closely with engineering and security teams to ensure our systems are scalable, resilient, and secure.
Location: This role will require a hybrid work schedule in any of our locations.
Job Responsibilities:
Design, build, and maintain CI/CD pipelines for seamless deployment and automation.
Develop infrastructure as code (IaC) using Terraform, Open Tofu, Ansible, or similar tools.
Manage cloud environments (GCP, AWS, or Azure) to ensure high availability and scalability.
Implement monitoring, logging, and alerting solutions to enhance system visibility.
Collaborate with development and security teams to enforce DevSecOps best practices.
Optimize system performance and cost efficiency through automation and tuning.
Troubleshoot and resolve infrastructure and deployment issues in a timely manner.
Ensure compliance with security and governance policies.
Required Skills & Qualifications:
Technical & Industry Expertise
  • 6+ years of experience in DevOps, SRE, or related fields.
  • Strong proficiency in cloud platforms (GCP, AWS, or Azure).
  • Hands-on experience with CI/CD tools like GitLab CI, Jenkins, or GitHub Actions.
  • Expertise in containerization and orchestration (Docker, Kubernetes).
  • Solid understanding of networking, security best practices, and Linux systems.
  • Experience with configuration management tools like Ansible, Chef, or Puppet.
  • Strong scripting skills in Python, Bash, or similar languages.

Soft Skills
  • Strong problem-solving and analytical skills.
  • Excellent communication and collaboration abilities.
  • Ability to work in a fast-paced, high-performance environment.
  • Passion for automation and continuous improvement.

Education & Certifications
  • Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience).
  • Relevant certifications such as AWS Certified DevOps Engineer, Google Professional DevOps Engineer, or CKA are a plus.
Why Join Us?
  • Opportunity to work with cutting-edge AI-driven cybersecurity technologies and Google SecOps solutions.
  • Collaborate with a talented and innovative team focused on continuously improving security operations.
  • Competitive salary and benefits package.
  • A culture of growth and development, with opportunities to expand your knowledge in AI, cybersecurity, and emerging technologies.

If you're passionate about combining cybersecurity expertise with artificial intelligence and have experience with Google SecOps and Chronicle, we encourage you to apply!

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