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Remote Splunk Jobs in Georgia (NOW HIRING)

Humana

Senior Cloud Architect - Kubernetes

Atlanta, GA · Remote

$62.50 - $79.50/hr

Experience with cloud FinOps, observability (Dynatrace, Splunk), and network security (Calico ... While this is a remote position, occasional travel to Humana's offices for training or meetings may ...

Humana

Senior Cloud Architect - Kubernetes

Atlanta, GA · Remote

$62.50 - $79.50/hr

Experience with cloud FinOps, observability (Dynatrace, Splunk), and network security (Calico ... While this is a remote position, occasional travel to Humana's offices for training or meetings may ...

Happy Returns LLC

DevOps Engineer (Remote)

Atlanta, GA · Remote

$50.75 - $69.50/hr

DevOps Engineer Remote Role Your way to impact We're not solving a small problem, and we're not addressing a small market. We're tackling returns--the part of the online shopping experience shoppers ...

Autodesk

Site Reliability Engineer

Atlanta, GA · Remote

$117K - $209K/yr

Skilledinloganalysis andmonitoring tools(CloudWatch, Splunk, Dynatrace, New Relic, Grafana) * Experience with relational databases (MySQL, PostgreSQL, MSSQL), andSQL * Excellent problem-solving ...

Proticom

Senior Security Engineer (Remote)

Atlanta, GA · Remote

$110K - $151K/yr

Proticom is looking for a talented Senior Security Engineer to join our client's Product Security team. The right person will build new security technologies to protect client and their other ...

AutoRABIT Holding Inc.

Site Reliability Engineer

Atlanta, GA · Remote

$54.75 - $72.75/hr

Remote Employment: Full Time Location: US Seniority: Mid Level Technologies: AWS, GCP, Azure, Kubernetes, Docker, Ansible, Jenkins, Terraform, ELK, CloudWatch Requirements: Mid-level SRE with cloud ...

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How much do remote splunk jobs pay per hour?

As of Jun 20, 2026, the average hourly pay for remote splunk in Georgia is $50.81, according to ZipRecruiter salary data. Most workers in this role earn between $44.86 and $56.01 per hour, depending on experience, location, and employer.

What is a Remote Splunk job?

A Remote Splunk job involves working with Splunk, a data analysis and monitoring platform, from a remote location. Responsibilities typically include configuring, managing, and troubleshooting Splunk environments, creating dashboards, and analyzing log data to identify security or operational issues. These roles are common in cybersecurity, IT operations, and data analytics. Remote Splunk professionals need expertise in Splunk software, data ingestion, scripting, and sometimes cloud platforms.

What does a typical workday look like for someone in a Remote Splunk role?

In a Remote Splunk role, your day typically involves monitoring and analyzing log data to detect security incidents, creating and optimizing Splunk queries, building dashboards, and collaborating with IT or security teams to troubleshoot issues. Most tasks are performed independently from your home office, but you’ll often participate in virtual meetings to review findings, implement solutions, and support ongoing projects. You may also spend time documenting processes, providing input on best practices, and staying updated on new Splunk features or security trends. This remote structure allows for flexibility while remaining highly connected to team goals and incident response efforts.

What are the key skills and qualifications needed to thrive in the Remote Splunk position, and why are they important?

To excel as a Remote Splunk professional, you need strong analytical skills, experience with Splunk or SIEM tools, and a background in IT, cybersecurity, or systems administration. Familiarity with Splunk Enterprise, Splunk Cloud, SPL (Search Processing Language), and relevant certifications like Splunk Certified Power User or Administrator is highly beneficial. Excellent problem-solving abilities, attention to detail, and effective communication are key soft skills for this role. These competencies help ensure the efficient detection, analysis, and mitigation of security incidents while facilitating effective teamwork in a remote environment.

What are the most commonly searched types of Splunk jobs in Georgia? The most popular types of Splunk jobs in Georgia are:
What are popular job titles related to Remote Splunk jobs in Georgia? For Remote Splunk jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Remote Splunk jobs in Georgia look for? The top searched job categories for Remote Splunk jobs in Georgia are:
What cities in Georgia are hiring for Remote Splunk jobs? Cities in Georgia with the most Remote Splunk job openings:
Remote Splunk jobs near you
Infographic showing various Remote Splunk job openings in Georgia as of June 2026, with employment types broken down into 37% Full Time, and 63% Contract. Highlights an 100% Remote job distribution, with an average salary of $105,683 per year, or $50.8 per hour.

Lead AI Security Architect 2026 - US

Aimpoint Digital

Atlanta, GA • On-site, Remote

$62.50 - $80.75/hr

Full-time

Posted 12 days ago

Job description

Are you an experienced security engineer / architect looking to apply your strategic mindset to help customers securely adopt enterprise AI tools, modernize security architectures and govern the risks introduced by generative AI platforms, AI assistants, coding copilots and LLM-enabled applications?
Aimpoint Digital is a fully remote, rapidly growing AI and Data Engineering consultancy; specializing in enabling tangible business outcomes and ROI for organizations around the globe. AI is fundamentally changes how the world works, and our philosophy toward AI security is a combination of mitigating risk without slowing innovation. What sets us apart is our track record of providing strategic advisory services alongside unmatched delivery expertise.
What you will do
In this position, you will be a crucial member in shaping the future of AI; specifically, by enabling designing scalable security architectures that enable organizations to innovate both quickly, and securely. You will design and implement security solutions enable customers to securely deploy, and govern, Claude Enterprise.
You will:
  • Assess existing security, identity, data, cloud and SaaS architectures and advise on best-in-class solutions for securing enterprise AI tooling across customers in a wide range of industries
  • Conduct comprehensive evaluations of AI tools (e.g. Claude, Claude Enterprise), platform configurations, data access patterns, connector usage, security controls, processes and personnel to deliver informed recommendations leveraging your expertise in security engineering and AI governance
  • Design and implement security controls for enterprise AI platforms, including SSO, SCIM, RBAC, MFA, conditional access, admin roles, user lifecycle management, retention policies, audit logging, workspace controls, DLP, and acceptable-use enforcement
  • Assess and govern AI platform features such as file uploads, custom assistants, projects, GPTs, connectors, browsing, code execution, data analysis, plugins, agents, API access, and external sharing
  • Review and secure AI integrations with enterprise repositories and collaboration platforms, including Google Drive, SharePoint, OneDrive, Slack, Teams, GitHub, GitLab, Jira, Confluence, Salesforce, Snowflake, Databricks, and BI platforms
  • Manage and lead end-to-end AI Security Implementation efforts as part of a project team; including activities such as identity integration, access control design, data protection controls, AI platform configurations, connector governance, monitoring / logging and incident response workflows

Who you are
We are building a diverse team of talented and motivated people who deeply understand business problems and enjoy solving them. You are a self-starter who is passionate about responsibly deploying AI solutions. You understand that AI Security isn't a nice to have, it's a pre-requisite for enabling AI solutions at scale. Specifically, scale that enables business value without exposing organizations to unnecessary risk.
As an AI Security Architect, you will be expected to own and manage client engagements, take part in the development or our AI Security practice, aid in business development and contribute innovative ideas and initiatives to Aimpoint Digital.
Baseline skills requirements include, though are not limited to:
  • Degree in Computer Science, Cyber Security, Information Systems, Engineering, or equivalent experience
  • Strong written and verbal skills; specifically with respect to C-Suite / Executive communication
  • Experience designing and delivering enterprise security architectures (projects or otherwise), particularly across Cloud, SaaS, data, application or security operations
  • Experience securing SaaS platforms using SSO, SCIM, RBAC, MFA, conditional access, logging DLP, lifecycle management and administrative controls
  • Experience working with identity providers and collaboration platforms like Okta, Microsoft Entra, Google Workspace, Microsoft 365, Slack, Atlassian, GitHub and/or GitLab
  • Experience working with Cloud Platforms such as AWS, Azure and/or GCP
  • Experience with secure SDLC, application security testing, API security, secrets management, vulnerability management and software supply chain (this is a must-have)
  • Experience performing threat modelling and translating risk into practical technical and operational controls
  • Experience integrating security telemetry into SIEM/SOAR platforms such as Splunk, Sentinel, Datadog or similar technologies
  • 5+ years experience in security engineering, cloud security, application security, data security, IAM, security architecture or security operations
  • 5+ years experience working with cloud / enterprise SaaS platforms or modern data platforms (specifically Databricks / Snowflake / Fabric / Big Query)
  • Experience with generative AI platforms; Claude Enterprise specifically
  • Familiarity with LLM security risks such as prompt injection, sensitive information disclosure, insecure output handling, excessive agency, retrieval abuse and software supply chain risk
  • Familiarity with AI security and governance frameworks such as OWASP Top 10 for LLM Applications, MITRE ATLAS, NIST AI RMF, ISO 42001, SOC 2, HIPAA, PCI DSS, GDPR, or similar frameworks is desirable
  • Experience with Python, APIs, Terraform, CI/CD pipelines, GitHub Actions, GitLab CI, container technologies, or infrastructure-as-code security is desirable
  • Experience conducting AI red teaming, adversarial testing, abuse-case analysis, or model-integrated application security reviews is desirable
  • Advanced certification in one or more cloud platforms, such as AWS, Azure, or GCP, is desirable
  • Security certifications such as CISSP, CCSP, CISM, GIAC, AWS Security Specialty, Azure Security Engineer, Google Professional Cloud Security Engineer, or similar credentials are desirable

This position is fully-remote; however, Atlanta-based applicants will have the opportunity to work in our new headquarters in Sandy Springs, GA.

Apply