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Google Security Engineer Jobs in Georgia (NOW HIRING)

AWS Security Specialty, AZ-500 (Azure), or Google Professional Cloud Security Engineer * ISSAP - Information Systems Security Architecture Professional (for candidates with a strong architecture ...

Partner with engineering teams to identify security risks early, from design and code review ... Familiarity with modern cloud infrastructure (AWS, Google Cloud Platform, or Azure) and software ...

Cloud Security Engineer

Atlanta, GA · On-site

$53.50 - $71.75/hr

Discovery's public cloud environments, with a primary focus on Google Cloud Platform (GCP). As a key member of the Cloud Security team, this role partners closely with engineering, DevOps, and ...

Cloud Security Engineer

Atlanta, GA

$53.50 - $71.75/hr

Discovery's public cloud environments, with a primary focus on Google Cloud Platform (GCP). As a key member of the Cloud Security team, this role partners closely with engineering, DevOps, and ...

Position: Sr Security Engineer Location: Atlanta, Hybrid (3 days in the office 2 days remote ... Netskope, Google Secops, AWS, Azure. * Up-to-date understanding of a wide range of incident ...

Network security Engineer

Atlanta, GA · On-site

$100K - $137K/yr

Support the security of cloud environments including AWS, Azure, and Google Cloud Platform (GCP ... engineering roles. Preferred Certifications * CISSP (Certified Information Systems Security ...

Familiarity with modern cloud infrastructure (AWS, Google Cloud Platform, or Azure), CI/CD ... Strong experience building and scaling reusable security patterns and assets across an engineering ...

Cloud Security Engineer

Atlanta, GA · On-site

$53.50 - $71.75/hr

As a Cloud Security Engineer, you will help assess and enhance security across Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure environments. This role supports cloud ...

Cloud Security Engineer

Atlanta, GA · Hybrid

$53.50 - $71.75/hr

As a Cloud Security Engineer, you will help assess and enhance security across Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure environments. This role supports cloud ...

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Google Security Engineer information

See Georgia salary details

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How much do google security engineer jobs pay per year?

As of Jul 19, 2026, the average yearly pay for google security engineer in Georgia is $128,999.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,700.00 and $133,800.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Security Engineers at Google, and how can new team members prepare for them?

One of the main challenges Google Security Engineers face is managing the scale and complexity of security for global, high-traffic systems while staying ahead of evolving cyber threats. New team members can prepare by developing strong technical fundamentals, staying up-to-date with the latest security research, and building hands-on experience with security tools and incident response practices. Collaboration is key, so being open to learning from team experts and cross-functional partners is essential. Proactively seeking mentorship and engaging in ongoing learning opportunities will help smooth the transition and set you up for long-term success at Google.

What is a Google Security Engineer job?

A Google Security Engineer is responsible for protecting Google's infrastructure, applications, and data from security threats. They design, implement, and maintain security measures, conduct risk assessments, and respond to incidents. Their role includes working with software engineers to build secure systems, analyzing vulnerabilities, and ensuring compliance with security policies. Security Engineers may specialize in areas such as cloud security, network security, or application security. The position requires strong problem-solving skills, knowledge of security best practices, and experience in areas like cryptography and penetration testing.

What are the key skills and qualifications needed to thrive in the Google Security Engineer position, and why are they important?

To thrive as a Google Security Engineer, you need a strong background in information security, computer science, and network protocols, often supported by a bachelor’s or master’s degree in a related field. Experience with industry-standard security tools (such as Wireshark, Burp Suite, and SIEM platforms), knowledge of operating systems, coding/scripting skills (like Python or Go), and certifications like CISSP or CEH are highly valued. Strong analytical thinking, effective communication, and the ability to work collaboratively across teams make you stand out in this position. These skills are essential for proactively identifying, mitigating, and resolving security threats in Google’s dynamic and large-scale technology environment.

What are the most commonly searched types of Google Security Engineer jobs in Georgia? The most popular types of Google Security Engineer jobs in Georgia are:
What job categories do people searching Google Security Engineer jobs in Georgia look for? The top searched job categories for Google Security Engineer jobs in Georgia are:

Principal AI Security Engineer

Candescent

Atlanta, GA • On-site

Full-time

Re-posted 21 days ago


Job description

Candescent is a forward-thinking technology company transforming how financial institutions deliver Intelligent Banking experiences. We unite digital banking, account opening, and branch solutions that power and connect digital banking, account opening, and branch solutions-creating seamless engagement across digital, remote, and in-person channels.
Our Experience-Led, Intelligence-Driven approach combines human-centered design with data, automation, and cloud-based innovation. Built on an API-first architecture, our extensible ecosystem enables institutions to adapt quickly, integrate easily, and unlock new opportunities for growth-turning every customer interaction into a moment of clarity, confidence, and connection.
Role Summary
We are seeking an AI Security Engineer to own the security of how we adopt and integrate third-party artificial intelligence and large language model (LLM) services across the enterprise. This is a practitioner role for someone with a strong security engineering foundation who has developed meaningful expertise in AI/ML security risks - or who is actively building that expertise and ready to own it as their primary charter.
As an enterprise consumer of AI services, our risk surface centers on how we connect to and use external AI providers - securing API integrations, controlling data exposure, governing adoption of AI tools across the organization, and ensuring AI usage aligns with our regulatory obligations. This role is not focused on building or training AI models.
Key Responsibilities and Deliverables
Secure AI Integration
  • Define and maintain secure integration patterns for third-party AI and LLM services, including API security, authentication, secrets management, and data-in-transit protections.
  • Establish and enforce input/output controls, prompt handling standards, and data classification guardrails for AI-enabled applications.
  • Evaluate the security posture of AI service providers as part of third-party and vendor risk processes.
  • Develop guidance for the secure adoption of agentic AI tools and multi-agent integrations, including scope containment and human oversight controls.

AI Security Governance
  • Build and maintain an AI security risk framework aligned to the organization's regulatory obligations: GLBA, PCI DSS 4.0.1, DORA ICT third-party risk, and NYDFS 23 NYCRR 500.
  • Establish governance controls for enterprise AI adoption, including standards for approved AI services, data handling requirements, and shadow AI detection.
  • Align internal AI security controls to emerging frameworks - NIST AI RMF and ISO/IEC 42001 - and advise on the organization's readiness as regulatory expectations evolve.

Threat Identification & Engineering Controls
  • Identify and mitigate AI-specific risks including prompt injection, model manipulation, data leakage, adversarial inputs, and AI-enabled social engineering.
  • Partner with security operations to build detection and response capabilities for AI-integrated systems.
  • Monitor the evolving AI threat landscape and translate emerging risks into practical engineering and governance responses.

Cross-Functional Partnership
  • Work with engineering, product, and cloud platform teams to embed security-by-design into AI-enabled applications and integrations.
  • Communicate AI security risks and recommendations clearly to both technical peers and non-technical leadership.
  • Contribute to security awareness and internal education on AI risk for engineering and business teams.

Requirements
  • Bachelor's degree in Computer Science, Information Security, Engineering, or a related technical discipline or equivalent practical experience.
  • 7+ years of experience in security engineering, application security, cloud security, or a closely related discipline.
  • Hands-on experience securing cloud-native environments and API-based integrations (AWS, Azure, or GCP).
  • Solid understanding of authentication, authorization, secrets management, and data protection in distributed systems.
  • Ability to assess technical risk and translate findings into actionable engineering controls and governance language.
  • Working knowledge of AI/ML security risks relevant to an enterprise consumer context: prompt injection, data leakage, insecure API integration, shadow AI, model output manipulation, and AI supply chain risk.
  • Familiarity with OWASP LLM Top 10 and MITRE ATLAS as applied threat frameworks.
  • Experience with or meaningful exposure to securing integrations with LLM service providers (e.g., Azure OpenAI, AWS Bedrock, Google Vertex AI, Anthropic, OpenAI).
  • Demonstrated engagement with AI security as an area of active professional focus - through applied work, research, certifications, or equivalent.

Security Foundations (any of the following)
  • CISSP - Certified Information Systems Security Professional
  • CCSP - Certified Cloud Security Professional
  • Cloud platform security certification: AWS Security Specialty, AZ-500 (Azure), or Google Professional Cloud Security Engineer
  • ISSAP - Information Systems Security Architecture Professional (for candidates with a strong architecture focus)

Preferred
  • Familiarity with at least one of the following as it applies to AI or third-party technology risk: GLBA, PCI DSS 4.0.1, NYDFS 23 NYCRR 500, DORA.
  • Experience working in regulated financial services or an equivalently controlled environment is a plus, not a requirement.
  • CAISP - Certified AI Security Professional (Practical DevSecOps) - hands-on, lab-based; currently the most technically rigorous AI security credential available
  • CAISS - Certified AI Security Specialist (Ampcus Cyber / ISACA chapters) - workshop-based; widely available through ISACA and ISC² chapter networks
  • AIGP - Artificial Intelligence Governance Professional (IAPP) - governance and compliance focus; particularly relevant to regulatory alignment work
  • ISO/IEC 42001 Lead Implementer or Lead Auditor - appropriate for candidates with a governance and risk management emphasis
  • Must be legally authorized to work in the U.S. without sponsorship.
  • Hybrid in Atlanta Office

Statement to Third Party Agencies
To ALL recruitment agencies: Candescent only accepts resumes from agencies on the preferred supplier list. Please do not forward resumes to our applicant tracking system, Candescent employees, or any Candescent facility. Candescent is not responsible for any fees or charges associated with unsolicited resumes.