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Devops Ai Jobs (NOW HIRING)

Senior DevOps AI Platform Engineer

NC ยท On-site +1

$130K - $167K/yr

Senior DevOps AI Platform Engineer Are you ready to take your career to the next level with a rapidly growing global company? As a Senior DevOps Platform Engineer, you will establish and scale the ...

Senior DevOps AI Platform Engineer

NC ยท Remote

$133K - $170K/yr

Senior DevOps AI Platform Engineer Are you ready to take your career to the next level with a rapidly growing global company? As a Senior DevOps Platform Engineer, you will establish and scale the ...

DevOps Engineer IV 4P/763

Atlanta, GA ยท On-site

$50.75 - $69.50/hr

Position: DevOps Engineer IV Location: Atlanta, GA Duration: 6 Months Client: Southern Company ... This role will help build scalable, secure, and cost-efficient AI and cloud solutions while driving ...

The Opportunity The Creativity & Productivity (C&P) Operations team is seeking an Operations AI Developer to advance operational excellence using applied AI. This role combines operations, automation ...

The Opportunity The Creativity & Productivity (C&P) Operations team is seeking an Operations AI Developer to advance operational excellence using applied AI. This role combines operations, automation ...

Leverage Generative AI, Machine Learning, AIOps, and MLOps capabilities to automate infrastructure ... Relevant cloud, DevOps, AI, Kubernetes, or platform engineering certifications How you'll work:

Vice President, DevOps

Berkeley Heights, NJ ยท On-site

$210K - $330K/yr

Leverage Generative AI, Machine Learning, AIOps, and MLOps capabilities to automate infrastructure ... Relevant cloud, DevOps, AI, Kubernetes, or platform engineering certifications How you'll work:

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Devops Ai information

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How much do devops ai jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for devops ai 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 is the difference between Devops Ai vs Data Engineer?

AspectDevops AiData Engineer
Required CredentialsCertifications in DevOps tools, AI/ML fundamentals, cloud platformsData management certifications, SQL, Python, cloud certifications
Work EnvironmentCollaborates with development, operations, and AI teams in cloud or on-premise setupsWorks with data pipelines, databases, and analytics teams in data-centric environments
Employer & Industry UsageTech companies, AI startups, cloud service providersFinance, healthcare, e-commerce, and data-driven industries

Devops Ai professionals focus on integrating AI solutions into deployment pipelines, combining DevOps practices with AI/ML tools. Data Engineers primarily build and maintain data infrastructure for analytics and machine learning. While both roles require cloud and scripting skills, Devops Ai emphasizes automation and AI deployment, whereas Data Engineers concentrate on data architecture and pipeline development.

More about Devops Ai jobs
What cities are hiring for Devops Ai jobs? Cities with the most Devops Ai job openings:
What states have the most Devops Ai jobs? States with the most job openings for Devops Ai jobs include:
Infographic showing various Devops Ai job openings in the United States as of August 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% In-person job distribution, with an average salary of $125,908 per year, or $60.5 per hour.

Software Engineer (DevOps) - AI

Career Renew

San Francisco, CA โ€ข Hybrid

$150K - $220K/yr

Full-time

Re-posted 24 days ago


Job description

Career Renew is recruiting for one of its clients a Software Engineer (DevOps) - AI - this is a hybrid role in San Francisco. Salary range: 150-220K USD base plus benefits plus equity.
We unite advanced research and exhaustive data analysis to evaluate the potential of Generative AI within your company. Our software then generates a dynamic and interactive roadmap, tailored to suit your organization's unique needs.

We are looking for a Software Engineer (DevOps) with a flexible range of experience, from a strong 2 years to mid/senior level, to join our team. We are seeking a hands-on engineer who loves infrastructure, automation, and high-leverage backend work. This individual will be our sole dedicated DevOps engineer, responsible for owning and evolving our deployment pipelines and helping to define what DevOps looks like at our company.


What will you be doing?

  • Own and evolve our CI/CD pipelines to ensure smooth, fast, and reliable deployments across multiple AWS accounts.

  • Manage and optimize our AWS environment, including ECS Fargate, and potentially integrate with the AWS Marketplace.

  • Increase monitoring, logging, and visibility across our multi-tenant and single-tenant infrastructures.

  • Contribute to backend services and data engineering tasks, leveraging your Python coding experience.

  • Collaborate with a small engineering team to automate processes, balance deployment speed with reliability, and support a fast-paced startup environment.

Tech stack
Python
Requirements:
3 - 7 years of experience in a DevOps role with a software engineering background (Mandatory)
Experience building DevOps infrastructure from the ground up (i.e., 0 to 1) (Mandatory)
Experience building and owning CI/CD pipelines (Mandatory)
Some experience in a fullstack software engineering background (NOT system admin) (Mandatory)
Experience in early-stage startups or smaller team environment (less than 20 people) (Nice-to-have)
A technical STEM degree (Nice-to-have)
Deep experience with AWS and cloud architecture (Mandatory)
Strong background in Python for building tools (Mandatory)
Experience with Infrastructure as Code (IaC) tools like Terraform (Mandatory)
Strong communications to work with client and cross-functional stakeholders (Mandatory)
Why you should join us

We are a venture-backed startup that is focused on helping organizations deploy GenAI strategically. Founded by academics from Penn, MIT and Stanford and backed by Andrew Ng, Reid Hoffman, Mira Murati and Jeff Dean, amongst others. Work directly with PhD researchers and renowned AI experts while building something that actually matters in the AI space.

Own DevOps infrastructure as the sole dedicated engineer in this area. You'll shape how the entire engineering team deploys and scales across AWS environments with real ownership and impact