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Splunk Engineer Jobs in Georgia (NOW HIRING)

NTT DATA Americas, Inc

AI Ops / DevOps Engineer

Sandy Springs, GA · On-site

$52.25 - $71.75/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Engineer to join their team in Atlanta, Georgia (US-GA), United States (US). The Senior AI Ops ... Splunk, Dynatrace, or ELK. * Implement AI safety controls including role-based access control ...

T-Mobile

Software Reliability Engineer

Atlanta, GA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Experience with observability or monitoring tools such as Splunk, AppDynamics, Dynatrace, Grafana, Prometheus, or similar platforms. (Preferred) Knowledge, Skills and Abilities: * DevOps (Required)

Apex Informatics

Network Engineer

Alpharetta, GA · On-site

Network Engineer Location: Alpharetta Georgia 30005 Duration: 12 Months (Contract Role) We are ... Infoblox, HPNA, Splunk, Sevone, Ansible is a plus • Good to have some cloud and wireless ...

360 IT Professionals

Sr Security Engineer

Atlanta, GA

$110K - $151K/yr

SIEM experience including SPLUNK * Strong technical, troubleshooting, and analytical skills ... Experience with reverse engineering of Malware * Computer forensic experience with tools such as ...

Cox Automotive

Senior Systems Engineer

Union City, GA · On-site

$92K - $153K/yr

  • PTO

Senior Systems Engineer - Observability & Resilience About the Team We're refining our ... We currently work with Cloudwatch, New Relic, Solarwinds, Splunk and rely heavily on Pager Duty and ...

Cox Automotive

Senior Systems Engineer

Tucker, GA · On-site

$92K - $153K/yr

  • PTO

Senior Systems Engineer - Observability & Resilience About the Team We're refining our ... We currently work with Cloudwatch, New Relic, Solarwinds, Splunk and rely heavily on Pager Duty and ...

Cox Automotive

Senior Systems Engineer

Brookhaven, GA · On-site

$92K - $153K/yr

  • PTO

Senior Systems Engineer - Observability & Resilience About the Team We're refining our ... We currently work with Cloudwatch, New Relic, Solarwinds, Splunk and rely heavily on Pager Duty and ...

Cox Automotive

Senior Systems Engineer

Austell, GA · On-site

$92K - $153K/yr

  • PTO

Senior Systems Engineer - Observability & Resilience About the Team We're refining our ... We currently work with Cloudwatch, New Relic, Solarwinds, Splunk and rely heavily on Pager Duty and ...

Cox Automotive

Senior Systems Engineer

North Decatur, GA · On-site

$92K - $153K/yr

  • PTO

Senior Systems Engineer - Observability & Resilience About the Team We're refining our ... We currently work with Cloudwatch, New Relic, Solarwinds, Splunk and rely heavily on Pager Duty and ...

Cox Automotive

Senior Systems Engineer

Lake City, GA · On-site

$92K - $153K/yr

  • PTO

Senior Systems Engineer - Observability & Resilience About the Team We're refining our ... We currently work with Cloudwatch, New Relic, Solarwinds, Splunk and rely heavily on Pager Duty and ...

UnitedHealth Group

Senior DevSecOps Engineer

Atlanta, GA · Remote

$91K - $163K/yr

  • Retirement

Growing together. As a Senior DevSecOps Engineer (Sr DevOps Engineer) within our technology ... Familiarity with the Splunk platform, including dashboarding and alerting * Exposure to regulated ...

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All JobsSplunk Engineer JobsSplunk Engineer Jobs in Georgia

Splunk Engineer information

See Georgia salary details

$54.5K

$97.2K

$135.8K

How much do splunk engineer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for splunk engineer in Georgia is $97,196.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,417.00 and $111,262.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Splunk Engineer?

To thrive as a Splunk Engineer, you need expertise in data analysis, log management, and scripting languages like Python or Bash, often backed by a degree in computer science or related field. Familiarity with Splunk Enterprise, Splunk Cloud, and certifications such as Splunk Certified Power User or Splunk Certified Admin are typically required. Strong problem-solving abilities, attention to detail, and effective communication help you stand out in this position. These skills are crucial for efficiently managing complex data environments, delivering actionable insights, and supporting organizational security and operations.

What is a Splunk engineer's salary?

A Splunk engineer's salary typically ranges from $80,000 to $130,000 annually, depending on experience, location, and certifications. Senior roles or those with specialized skills in data analysis and security can earn higher compensation, often exceeding $150,000.

Is a Splunk Engineer in high demand?

Splunk Engineers are in high demand due to the increasing need for data analysis, security monitoring, and IT operations management. Skills in Splunk, along with certifications and experience in cybersecurity or system administration, can improve job prospects in various industries.

What are some common challenges Splunk Engineers face when managing large-scale log data environments?

Splunk Engineers working with large-scale log data environments often encounter challenges related to data ingestion bottlenecks, maintaining indexer performance, and ensuring efficient search query execution. Balancing storage management with retention policies and optimizing dashboards for real-time analysis can also be complex. Successful engineers proactively collaborate with IT, security, and development teams to fine-tune data sources, streamline parsing, and implement best practices for scalability, ensuring that Splunk delivers timely and actionable insights.

What is the difference between Splunk Engineer vs Data Analyst?

AspectSplunk EngineerData Analyst
Required CredentialsSplunk certifications, technical degreesStatistics, data analysis certifications, degrees
Work EnvironmentIT/security teams, tech-focused companiesBusiness, marketing, finance departments
Employer & Industry UsageTech, cybersecurity, enterprise ITFinance, healthcare, retail, marketing

Splunk Engineers focus on deploying, configuring, and maintaining Splunk platforms for data monitoring and security. Data Analysts interpret data to generate insights for business decisions. While both roles work with data, Splunk Engineers specialize in technical implementation of Splunk tools, whereas Data Analysts focus on analyzing data to inform strategies.

What is a Splunk Engineer?

A Splunk Engineer is an IT professional who specializes in deploying, configuring, and managing Splunk software for data analysis and monitoring. They are responsible for setting up data ingestion pipelines, creating dashboards, and developing alerts to help organizations monitor their systems and security. Splunk Engineers often work with large datasets to extract meaningful insights, support troubleshooting, and ensure system health. Their expertise is essential for leveraging Splunk’s capabilities in IT operations, security, and compliance.

What are the most commonly searched types of Splunk Engineer jobs in Georgia?

The most popular types of Splunk Engineer jobs in Georgia are:

What are popular job titles related to Splunk Engineer jobs in Georgia?

For Splunk Engineer jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Splunk Engineer jobs in Georgia look for?

The top searched job categories for Splunk Engineer jobs in Georgia are:

What cities in Georgia are hiring for Splunk Engineer jobs?

Cities in Georgia with the most Splunk Engineer job openings:

Splunk Engineer jobs near you
Infographic showing various Splunk Engineer job openings in Georgia as of August 2026, with employment types broken down into 87% Full Time, 6% Part Time, 1% Temporary, and 6% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $97,196 per year, or $46.7 per hour.

AI Ops / DevOps Engineer

NTT DATA Americas, Inc

Sandy Springs, GA • On-site

$52.25 - $71.75/hr

Other

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.
NTT DATA''s Client is seeking a Senior AI Ops / DevOps Engineer to join their team in Atlanta, Georgia (US-GA), United States (US).
The Senior AI Ops / DevOps Engineer will architect, build, and manage next-generation AI-driven CI/CD and cloud operations ecosystems. This role will go beyond traditional DevOps automation by integrating LLM agents, Model Context Protocol servers, intelligent observability, and secure AI-assisted workflows into the software delivery lifecycle.
  • Architect, build, and manage AI-enabled CI/CD pipelines that improve developer productivity, code quality, release reliability, and deployment speed.
  • Design and deploy production-grade Model Context Protocol clients and servers to securely connect enterprise LLMs with engineering tools, repositories, cloud infrastructure, and observability platforms.
  • Develop custom MCP servers using Python, TypeScript, Node.js, or JavaScript to expose logs, infrastructure metrics, deployment data, and internal tools to authorized AI agents.
  • Integrate LLM agents into developer workflows to support automated code review, vulnerability detection, test generation, release validation, and infrastructure recommendations.
  • Build and maintain robust CI/CD pipelines using GitHub Actions, GitLab CI, CircleCI, ArgoCD, Jenkins, or similar tools.
  • Implement ChatOps 2.0 capabilities that allow engineers to interact with deployment pipelines, cloud environments, logs, and operational workflows using secure conversational interfaces.
  • Create safe autonomous remediation workflows for log analysis, incident triage, root-cause analysis, and infrastructure issue resolution.
  • Build guardrails that allow AI agents to generate, inspect, and safely execute Infrastructure as Code using Terraform, OpenTofu, Terragrunt, Pulumi, Crossplane, or similar tools.
  • Manage containerized workloads using Docker and Kubernetes platforms such as AWS EKS, Azure AKS, or Google GKE.
  • Integrate AI-driven observability workflows with platforms such as Datadog, Prometheus, Grafana, CloudWatch, Splunk, Dynatrace, or ELK.
  • Implement AI safety controls including role-based access control, least-privilege execution, human-in-the-loop approvals, audit logging, rollback mechanisms, and secure tool access.
  • Partner with software engineering, DevOps, SRE, security, platform, and data/AI teams to identify opportunities for intelligent automation.
  • Create reusable automation frameworks, runbooks, dashboards, documentation, and enablement materials for engineering teams.
  • Drive an "automate everything” culture by reducing manual toil and improving operational efficiency across cloud and software delivery processes.

Basic Qualifications
  • Minimum 7+ years of experience in DevOps, Cloud Engineering, SRE, Platform Engineering, or Infrastructure Automation.
  • Minimum 4+ years of hands-on experience designing and managing CI/CD pipelines using GitHub Actions, GitLab CI, CircleCI, Jenkins, ArgoCD, or similar platforms.
  • Minimum 3+ years of experience managing scalable cloud environments in AWS, Azure, or Google Cloud Platform, with strong preference for AWS.
  • Minimum 3+ years of Strong hands-on experience with Kubernetes, Docker, and production container orchestration platforms such as EKS, AKS, or GKE.
  • Advanced proficiency with Infrastructure as Code tools such as Terraform, OpenTofu, Terragrunt, Pulumi, CloudFormation, or Crossplane.
  • Minimum 3+ years of Strong programming and scripting experience using Python, TypeScript, JavaScript, Bash, or Go.
  • Minimum 3+ years of Practical experience working with LLM APIs such as OpenAI, Anthropic, or similar enterprise AI platforms.
  • Minimum 3+ years of Experience with AI orchestration or agentic frameworks such as LangChain, CrewAI, LlamaIndex, or similar tools.
  • Minimum 3+ years of Strong understanding of the Model Context Protocol ecosystem and experience designing or integrating MCP clients and servers.
  • Minimum 3+ years of Experience integrating DevSecOps controls into CI/CD pipelines, including SAST, DAST, dependency scanning, container scanning, secrets scanning, and vulnerability management.
  • Minimum 3+ years of Strong knowledge of secret management and security tooling such as HashiCorp Vault, AWS Secrets Manager, Azure Key Vault, or similar platforms.
  • Minimum 3+ years of Experience with observability, monitoring, logging, and alerting platforms such as Datadog, Prometheus, Grafana, CloudWatch, Splunk, Dynatrace, or ELK.
  • Familiarity with security and compliance frameworks such as SOC2, ISO27001, or enterprise audit control environments.
  • Ability to troubleshoot complex pipeline, infrastructure, deployment, and production issues across cloud-native environments.
Preferred / Nice to Have
  • Experience building AI-assisted infrastructure provisioning workflows.
  • Experience implementing autonomous or semi-autonomous incident response and remediation capabilities.
  • Experience with MLOps, model deployment pipelines, model monitoring, MLflow, SageMaker, or equivalent platforms.
  • Experience implementing human-in-the-loop approval models for AI-generated operational actions.
  • Experience with policy-as-code tools such as Open Policy Agent, Sentinel, Checkov, or similar solutions.
  • Experience working in regulated industries such as banking, financial services, healthcare, or insurance.
  • Experience with GitOps operating models using ArgoCD, Flux, or similar tools.
  • AWS, Kubernetes, DevOps, Security, or AI/ML certifications are a plus.
  • Soft Skills & Mindset
  • Strong "automate everything” mindset with a passion for reducing repetitive manual tasks and operational toil.
  • Security-first approach with practical skepticism of autonomous AI actions and a focus on validation, boundaries, approvals, and rollback.
  • Ability to bridge traditional software engineering, DevOps, SRE, security, and data/AI teams.
  • Strong communication skills with the ability to explain complex AI-enabled DevOps concepts to both technical and leadership audiences.
  • Collaborative educator who can help upskill engineering teams on AI-assisted delivery, secure automation, and modern DevOps practices.
  • Ownership mindset with the ability to design solutions, implement them hands-on, and support them in production.
Travel
  • This position requires 3 days in office per the client/project requirement.
Degree
  • Bachelor''s degree in Computer Science, Engineering, Information Technology, or equivalent work experience.

Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting hourly range for this remote role is ($60-$70/hour).  This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on several factors, including the candidate''s actual work location, relevant experience, technical skills, and other qualifications. This position may also be eligible for incentive compensation based on individual and/or company performance.
 
This position is eligible for company benefits that will depend on the nature of the role offered. Company benefits may include medical, dental, and vision insurance, 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 trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com
NTT DATA endeavors to make 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 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

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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

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