Hire AI DevOps Engineers

Hire the Top 3% of AI DevOps Engineers

Hire vetted AI DevOps engineers on demand. Leading companies choose AI DevOps freelancers from Toptal for their most important development projects.

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No-Risk Trial, Pay Only If Satisfied.

Trusted by leading brands and startups

Hire AI DevOps Engineers

Cyle Riggs

AI DevOps Engineer
Cambodia
Toptal Member Since June 24, 2026

Cyle is a former AWS engineer with 20 years of experience building and breaking complex systems at the deepest levels—from the compute substrate powering EC2 to AI-driven offensive security tooling for connected vehicles. He has worked at the intersection of offensive security, AI, distributed systems, and cloud in environments where the stakes are high and failure has real consequences.

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Mohammad Smadi

AI DevOps Engineer
Saudi Arabia
Toptal Member Since December 3, 2020

Mohammad is a DevOps and Cloud Architect with 20+ years of experience in application modernization, cloud migration, and Kubernetes management. He helps organizations transform legacy systems into cloud-native, scalable, and secure architectures, leveraging his expertise in Azure, DevOps automation, and hybrid IT environments. Mohammad has a proven track record of delivering successful projects for government entities, enterprises, and universities.

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Noman Ahmed

AI DevOps Engineer
United Arab Emirates
Toptal Member Since September 7, 2026

Noman is a senior DevOps and site reliability engineer with over 12 years of experience building mission-critical infrastructure for clients such as Accumed Practice Management, Infrastructurebox, and Crossover for Work. His primary expertise is in AWS, Kubernetes, and Terraform for SaaS and cloud-native platforms, where he thrives in multi-tenant and high-availability environments. Noman cut the mean time to resolution by 40% while at Accumed Practice Management.

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Raj Prajapati

AI DevOps Engineer
India
Toptal Member Since August 20, 2026

Across financial services and pharmaceuticals, Raj has spent 18 years building OpenShift platforms at enterprise scale. His toolkit centers on VMware vSphere, AWS, and Azure. While at American Express, Raj maintained 15 clusters supporting 200+ microservices with a 99.9% SLA.

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Harshit Luthra

AI DevOps Engineer
India
Toptal Member Since August 31, 2021

Harshit is a senior site reliability engineer with 7+ years of experience running cloud native platforms across AWS, GCP, Azure, and on-prem. At TrueFoundry, he built multi-tenant SaaS reliability for enterprise ML workloads, reducing client onboarding by 70% and moving logging to VictoriaLogs, resulting in a 94% drop in query latency. Earlier, he ran infrastructure for a 4 million-user social platform on 95% spot, holding 99.99% uptime while cutting cloud spend by $200,000 a year.

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Raj Babu Das

AI DevOps Engineer
India
Toptal Member Since September 28, 2026

Raj is a staff software and site reliability engineer with over 7 years of experience building and operating cloud-native platforms, distributed systems, and Kubernetes infrastructure for clients including Harness, ChaosNative, and MayaData. His expertise spans Go, Kubernetes, AWS, GCP, Terraform, Helm, and observability. At Harness, Raj reduced infrastructure costs by $100,000 annually.

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Toptal in the press

... allows corporations to quickly assemble teams that have the right skills for specific projects.

Despite accelerating demand for coders, Toptal prides itself on almost Ivy League-level vetting.

Our clients
Creating an app for the game
Conor Kenney
Creating an app for the game
Leading a digital transformation
Elmar Platzer
Leading a digital transformation
Building a cross-platform app to be used worldwide
Building a cross-platform app to be used worldwide
Drilling into real-time data creates an industry game changer
Drilling into real-time data creates an industry game changer
Testimonials

How to Hire AI DevOps Engineers Through Toptal

1

Talk to One of Our Client Advisors

A Toptal client advisor will work with you to understand your goals, technical needs, and team dynamics.
2

Work With Hand-selected Talent

Within days, we’ll introduce you to the right AI DevOps engineer for your project. Average time to match is under 24 hours.
3

The Right Fit, Guaranteed

Work with your new AI DevOps engineer for a trial period (pay only if satisfied), ensuring they’re the right fit before starting the engagement.

EXCEPTIONAL TALENT

How We Source the Top 3% of AI DevOps Engineers

Our name “Toptal” comes from Top Talent—meaning we constantly strive to find and work with the best from around the world. Our rigorous screening process identifies experts in their domains who have passion and drive.

Of the thousands of applications Toptal sees each month, typically fewer than 3% are accepted.

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FAQs

  • Typically, you can hire AI DevOps engineers with Toptal in about 48 hours. For larger teams of talent or full end-to-end project delivery, timelines may vary. Our talent matchers are highly skilled in the same fields they’re matching in—they’re not recruiters or HR reps. They’ll work with you to understand your goals, technical needs, and team dynamics, and match you with ideal candidates from our vetted global talent network.

    Once you select your AI DevOps engineer, you’ll have a no-risk trial period to ensure they’re the perfect fit. Our matching process has a 98% trial-to-hire rate, so you can rest assured that you’re getting the best fit every time.

  • To hire the right AI DevOps engineer, it’s important to evaluate a candidate’s experience, technical skills, and communication skills. You’ll also want to consider the fit with your particular industry, company, and project. Toptal’s rigorous screening process ensures that every member of our network has excellent experience and skills, and our team will match you with the perfect AI DevOps engineers for your project.

  • At Toptal, we thoroughly screen our AI DevOps engineers to ensure we only match you with the highest caliber of talent. Of the more than 200,000 people who apply to join the Toptal network each year, fewer than 3% make the cut.

    In addition to screening for industry-leading expertise, we also assess candidates’ language and interpersonal skills to ensure that you have a smooth working relationship.

    When you hire AI DevOps engineers with Toptal, you’ll always work with world-class, custom-matched AI DevOps engineers ready to help you achieve your goals.

  • You can hire AI DevOps engineers on an hourly, part-time, or full-time basis. Toptal can also manage the project end-to-end based on your specific requirements as part of our Consulting and Services offerings. Whether you hire a AI DevOps engineer for a full- or part-time position, you’ll have the control and flexibility to scale your team up or down as your needs evolve. Our AI DevOps engineers can fully integrate into your existing team for a seamless working experience.

  • We make sure that each engagement between you and your AI DevOps engineer begins with a trial period of up to two weeks. This means that you have time to confirm the engagement will be successful. If you’re completely satisfied with the results, we’ll bill you for the time and continue the engagement for as long as you’d like. If you’re not completely satisfied, you won’t be billed. From there, we can either part ways, or we can provide you with another AI DevOps engineer who may be a better fit and with whom we will begin a second, no-risk trial.

Toptal Lets You Hire Fast,
With Unparalleled Success

  • Trusted Talent Only

    Trusted Talent Only

    Our talent network is composed of thoroughly vetted professionals who ramp up quickly, function as essential team members, and deliver results.

  • Precise Matching

    Precise Matching

    Our experienced talent matchers specialize in identifying talent that fits your needs. They work to understand your exact requirements and hand-select the best professionals for your project.

  • Seamless Hiring

    Seamless Hiring

    We handle all aspects of billing, payments, and NDAs, streamlining the hiring process so you can focus on innovation, not overhead.

  • No-risk Trial Period

    No-risk Trial Period

    We want to be sure your engagement is a total success, so we offer a no-risk trial period. Work with your new hire for up to two weeks and pay only if you’re satisfied.

  • Effortless Scaling

    Effortless Scaling

    We help you scale your team up or down as needed, with quick and efficient hiring in under 48 hours.

  • Flexible Engagements

    Flexible Engagements

    Our flexible engagement models allow you to choose the engagement type that suits your needs and adjust it anytime: hourly, part time, or full time.

Top AI DevOps Engineers Are in High Demand.

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