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Devops In Jobs in Atlanta, GA (NOW HIRING)

Dark Wolf is looking for a DevOps Engineer who is interested in working in a fast-paced environment building and maintaining a DevSecOps Platform as a Service (PaaS) for a DoD customer. The ...

Lead DevOps Engineer

Atlanta, GA · On-site

$140K - $155K/yr

The company is based in Atlanta, GA and is growing a team of talented and dedicated professionals ... Infrastructure DevOps Engineers build, operate and optimize systems enabling all teams to ...

GCP DevOps Engineer

Alpharetta, GA · On-site

$51.50 - $70.50/hr

... DevOps Engineer in a 24x7 uptime GCP environment, including automation experience with configuration management tools. • Monitoring Tools: Experience with system monitoring tools on GCP. • ...

DevOps Engineer

Atlanta, GA · Hybrid

$50.75 - $69.50/hr

So, if you're an expert in your field, and looking for an opportunity to work, collaborate, and ... We are looking for a DevOps Engineer to join our amazing Cloud Engineering team. We are developing ...

DevOps Engineer

Atlanta, GA · Remote

$54 - $74/hr

So, if you're an expert in your field, and looking for an opportunity to work, collaborate, and ... We are looking for a DevOps Engineer to join our amazing Cloud Engineering team. We are developing ...

Lead DevOps Engineer

Atlanta, GA · On-site +1

$50.75 - $69.50/hr

The company is based in Atlanta, GA and is growing a team of talented and dedicated professionals ... They are the champions of DevOps principles and actively coach across teams in order to improve ...

DevOps/MLOps Engineer

Cumming, GA · On-site

$47 - $64.50/hr

Position: DevOps/MLOps Engineer Location: Cumming, GA Duration: Long-term contract Note: Final ... This is a high-visibility role in a fast-moving environment where candidates are expected to make ...

DevOps Engineer

College Park, GA · On-site

$90K - $189K/yr

Job Title: DevOps Engineer Job Category: Information Technology Time Type: Full time Minimum ... In lieu of a Bachelors' degree an additional four (4) years of experience is required for a total ...

Senior DevOps Engineer

Atlanta, GA · On-site +1

$125K - $160K/yr

We are looking for a Senior DevOps Engineer to join our growing technology team ... In this role, you will be responsible for designing, implementing, and maintaining robust CI/CD ...

DevOps Platform Engineer

Duluth, GA · On-site

$48.50 - $66.50/hr

Job Overview The DevOps / Platform Engineer builds and maintains the technical infrastructure that enables AGS's entire AI program to run reliably in production. This is a hands-on individual ...

AI DevOps Engineer

Atlanta, GA · On-site

$50.75 - $69.50/hr

Key Skills * 10+ years in DevOps/Cloud Engineering. * Strong experience with Google Cloud Platform (preferred), Azure, or Databricks. * Expertise in Terraform/Bicep and Infrastructure as Code.

Showing results 21-40

Devops In information

See Atlanta, GA salary details

$15

$58

$82

How much do devops in jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for devops in in Atlanta, GA is $58.21, according to ZipRecruiter salary data. Most workers in this role earn between $48.80 and $66.83 per hour, depending on experience, location, and employer.

What do DevOps jobs do?

DevOps jobs involve combining software development and IT operations to improve the efficiency, reliability, and automation of software deployment and infrastructure management. Professionals in this role typically work with tools like Jenkins, Docker, and Kubernetes, and focus on continuous integration, continuous delivery, and system monitoring to ensure smooth software releases.

Is DevOps a high paying job?

DevOps engineers typically earn high salaries due to their expertise in automation, cloud platforms, and tools like Docker and Kubernetes. Compensation varies by experience, location, and industry, but it is generally considered a well-paying role in the tech field.

What is the difference between Devops In vs Software Engineer?

AspectDevops InSoftware Engineer
CredentialsCertifications like AWS, Docker, Kubernetes; relevant experience in automation and cloudComputer science degree; programming skills; software development certifications
Work EnvironmentCollaborates with development, operations, and QA teams; focuses on deployment pipelines and infrastructurePrimarily develops, tests, and maintains software applications; works in coding environments
Industry UsageUsed across tech, finance, healthcare for deployment and infrastructure managementUsed across all software development sectors for building applications

Devops In and Software Engineer roles overlap in technical skills but differ in focus. Devops In emphasizes deployment, automation, and infrastructure, while Software Engineers focus on coding and application development. Both roles are vital in tech organizations, often collaborating to deliver robust software solutions.

Are DevOps still in demand?

Yes, DevOps roles remain in high demand as organizations seek to improve software deployment, automation, and infrastructure management. Skills in cloud platforms, CI/CD tools, and scripting are highly valued in this field.
Infographic showing various Devops In job openings in Atlanta, GA as of August 2026, with employment types broken down into 82% Full Time, 4% Part Time, and 14% Contract. Highlights an 81% Physical, 6% Hybrid, and 13% Remote job distribution, with an average salary of $121,081 per year, or $58.2 per hour.

Senior AI DevOps Engineer (AI Ops / Platform Engineering) (Hybrid)

NTT DATA Services

Atlanta, GA • On-site

$125K - $160K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 25 days ago


NTT Data rating

7.4

Company rating: 7.4 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

118th of 224 rated it services


Job description

Req ID: 382452
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
We are currently seeking a Senior AI DevOps Engineer (AI Ops / Platform Engineering) (Hybrid) to join our team in Atlanta, Georgia (US-GA), United States (US).
Senior AI DevOps Engineer (AI Ops / Platform Engineering)
Position Summary
We're looking for an experienced Senior AI DevOps Engineer to help build the next generation of AI-powered software delivery and cloud operations. In this role, you'll combine modern DevOps practices with Generative AI, LLM agents, Model Context Protocol (MCP), and intelligent automation to transform how engineering teams build, deploy, and operate software.
You'll partner with Platform Engineering, DevOps, Security, SRE, and AI teams to design secure, scalable, cloud-native solutions that accelerate software delivery while improving reliability, observability, and operational efficiency.
This is an opportunity to work on cutting-edge AI technologies that are redefining modern software engineering.
What You'll Do
  • Design, build, and optimize AI-enabled CI/CD pipelines that improve developer productivity, deployment speed, and software quality.
  • Develop and deploy Model Context Protocol (MCP) clients and servers that securely connect enterprise LLMs with engineering tools, cloud infrastructure, and operational platforms.
  • Build custom MCP services using Python, TypeScript, JavaScript, or Node.js to expose infrastructure, deployment, monitoring, and operational data to authorized AI agents.
  • Integrate LLM-powered workflows for automated code reviews, testing, security analysis, release validation, and infrastructure recommendations.
  • Build and maintain enterprise CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, CircleCI, ArgoCD, or similar platforms.
  • Implement AI-driven ChatOps capabilities that enable engineers to interact with deployment pipelines, cloud environments, and operational tools through secure conversational interfaces.
  • Design intelligent remediation workflows for incident detection, root cause analysis, log analysis, and operational troubleshooting.
  • Develop secure Infrastructure-as-Code automation using Terraform, OpenTofu, Pulumi, Terragrunt, CloudFormation, or similar technologies.
  • Deploy and manage containerized applications using Kubernetes and Docker across AWS, Azure, or Google Cloud.
  • Build AI-powered observability solutions leveraging Datadog, Prometheus, Grafana, CloudWatch, Splunk, Dynatrace, ELK, or similar platforms.
  • Implement security guardrails including RBAC, least-privilege access, approval workflows, audit logging, rollback mechanisms, and secure AI tool access.
  • Partner with Engineering, Platform, Security, SRE, and AI teams to identify and implement intelligent automation opportunities.
  • Create reusable automation frameworks, documentation, dashboards, and engineering best practices that scale across the organization.

Required Qualifications
  • 7+ years of experience in DevOps, Platform Engineering, Site Reliability Engineering (SRE), Cloud Engineering, or Infrastructure Automation.
  • 4+ years designing and supporting enterprise CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, CircleCI, ArgoCD, or similar tools.
  • 3+ years of cloud engineering experience in AWS, Azure, or Google Cloud (AWS preferred).
  • Strong experience deploying and managing Kubernetes and Docker in production environments (EKS, AKS, or GKE).
  • Hands-on experience with Infrastructure as Code using Terraform, OpenTofu, Pulumi, Terragrunt, CloudFormation, or similar tools.
  • Strong programming skills in Python, TypeScript, JavaScript, Bash, Go, or similar languages.
  • Experience integrating enterprise LLM platforms such as OpenAI, Anthropic, or equivalent AI services into engineering workflows.
  • Experience with AI orchestration frameworks such as LangChain, CrewAI, LlamaIndex, or similar technologies.
  • Experience designing or implementing Model Context Protocol (MCP) clients and servers.
  • Experience implementing DevSecOps practices including SAST, DAST, dependency scanning, container security, secrets management, and vulnerability management.
  • Experience with secrets management solutions such as HashiCorp Vault, AWS Secrets Manager, or Azure Key Vault.
  • Strong experience with monitoring, logging, and observability platforms such as Datadog, Grafana, Prometheus, CloudWatch, Splunk, Dynatrace, or ELK.
  • Excellent troubleshooting skills across cloud infrastructure, CI/CD pipelines, Kubernetes, and production systems.
  • Strong communication skills and the ability to collaborate across engineering, security, and AI teams.

Preferred Qualifications
  • Experience building AI-assisted infrastructure provisioning and deployment workflows.
  • Experience implementing autonomous or AI-assisted incident response and operational remediation.
  • Experience with MLOps platforms including MLflow, Amazon SageMaker, Vertex AI, Azure ML, or similar technologies.
  • Experience implementing human-in-the-loop approval workflows for AI-generated operational actions.
  • Knowledge of Policy-as-Code frameworks such as Open Policy Agent (OPA), Sentinel, or Checkov.
  • Experience with GitOps platforms such as ArgoCD or Flux.
  • Experience working within regulated industries such as financial services, healthcare, insurance, or government.
  • AWS, Kubernetes, DevOps, Security, or AI/ML certifications.

What Makes You Successful
  • Passion for automation and continuously improving engineering productivity.
  • Security-first mindset with practical experience implementing safe, responsible AI automation.
  • Ability to bridge DevOps, Platform Engineering, AI, Security, and Software Engineering disciplines.
  • Strong problem-solving skills with an ownership mentality from design through production support.
  • Comfortable leading technical initiatives and mentoring engineering teams on modern AI-enabled development practices.

Education
Bachelor's degree in Computer Science, Engineering, Information Technology, or a related discipline (or equivalent professional experience).
Work Location
Hybrid schedule with three days per week onsite as required by the client or project.
Pay Transparency
Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting pay range for this remote role is $87,952-$162,875. This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on a number of factors, including the candidate's actual work location, relevant experience, technical skills, and other qualifications.
This position is eligible for company benefits including medical, dental, and vision insurance with an employer contribution, flexible spending or health savings account, life and AD&D insurance, short- and long-term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally-required benefits.
About NTT DATA
NTT DATA is a $30+ billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. Our consulting and industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is part of NTT Group, which invests over $3 billion each year in R&D.
Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client's needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.
NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here
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About NTT DATA

Sourced by ZipRecruiter

NTT DATA Services is a global business and IT services provider specializing in digital, cloud and automation across a comprehensive portfolio of consulting, applications, infrastructure and business process services. We are part of the NTT family of companies, a partner to 85 % of the Fortune 100.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Plano, TX, US

Year founded

1967