2

Remote Google Coding Jobs in Georgia (NOW HIRING)

Full Stack Mobile Engineer

Atlanta, GA ยท On-site +1

$110K - $150K/yr

Remote | Full-time About Sched Sched powers thousands of events worldwide professional development ... You will review code across both platforms, improve test coverage, and help set quality standards ...

Senior Backend Engineer (AI Agent)

Atlanta, GA ยท On-site +1

$116K - $195K/yr

The agents are built in Go on Google ADK with Gemini, with evaluation infrastructure in Braintrust ... Agent quality in this domain is won on evals, not just code, and you will own that practice for the ...

New

IS Technical Specialist (Backend Java Dev)

Atlanta, GA ยท On-site +1

$48.75 - $63/hr

... Google NoSQL databases (Bigtable or MongoDB) Experience with with Cloud SQL (MySQL/PostgreSQL) on ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Landing Page Builder

Atlanta, GA ยท Remote

$12K - $18K/yr

Strong understanding of HTML/CSS/JavaScript with the ability to edit and enhance website code ... Experience working with tracking tools (Meta Pixel, Google Tag Manager, GA4, CRM webhooks, etc.

Verifiable proficiency with scripting and code-driven automation using languages like Python, Bash ... Remote-first environment - giving you flexibility and autonomy in how you structure your day.

Sr. Innovation Software Engineer

Atlanta, GA ยท On-site +1

$117K - $155K/yr

Experience with Google Cloud / Vertex AI / Gemini or comparable AI platforms. * Strong hands-on ... Experience with secure coding practices, application security basics, and building in regulated ...

next page

Showing results 1-20

Remote Google Coding information

Does Google have fully remote jobs?

Google offers a variety of remote job opportunities, including roles in software engineering, product management, and support, with many positions allowing full-time remote work. The availability of remote jobs depends on the specific role and team, and candidates often need relevant skills, experience, and sometimes specific certifications. Google has expanded its remote work options, especially following industry trends toward flexible work arrangements.

Does Google offer remote jobs?

Google offers remote job opportunities across various roles, including engineering, product management, and support positions. Many of these roles require skills in collaboration tools, coding, and remote work best practices, and they often have flexible schedules depending on the position and team needs.

Can I work for Google remotely?

Google offers remote work opportunities for certain roles, including technical positions like software engineering and coding jobs. Eligibility depends on the specific role, location, and team needs, and remote positions often require strong communication skills and proficiency with collaboration tools. Not all Google jobs are remote, so candidates should review individual job postings for remote options.

Does Google still do remote jobs?

Google offers remote job opportunities across various roles, including engineering and technical positions, with many roles now fully remote or hybrid. The company has expanded its remote work policies, allowing employees to work from home depending on the role and team needs.
What are the most commonly searched types of Google Coding jobs in Georgia? The most popular types of Google Coding jobs in Georgia are:
What job categories do people searching Remote Google Coding jobs in Georgia look for? The top searched job categories for Remote Google Coding jobs in Georgia are:
What cities in Georgia are hiring for Remote Google Coding jobs? Cities in Georgia with the most Remote Google Coding job openings:
Lead AI Security Architect 2026 - US

Lead AI Security Architect 2026 - US

Aimpoint Digital

Atlanta, GA โ€ข On-site, Remote

$62.50 - $80.75/hr

Full-time

Re-posted 4 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 headquarters in Sandy Springs, GA.