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2 results for Rpa Engineer in Atlanta, GA
- Atlanta, Georgia
- remote
- Permanent / Full Time
- 90000 - 110000 USD / Yearly
- <p><strong><u>Senior Infrastructure DevOps Engineer</u></strong></p><p><strong>Remote - Atlanta, GA</strong></p><p><strong>Location Requirement:</strong> This is a fully remote position; however, candidates <strong>must currently reside in the Atlanta, GA area</strong>. Applicants outside of Atlanta will <strong>not</strong> be considered.</p><p><strong>Work Authorization:</strong> <strong>No C2C. No third-party agencies. No sponsorship or visa transfers now or in the future.</strong></p><p><br></p><p><strong>About the Role</strong></p><p>We are seeking a Senior Infrastructure DevOps Engineer to join a growing IT team. This is an exciting opportunity for someone who enjoys wearing multiple hats across infrastructure, cloud engineering, automation, DevOps, enterprise applications, and technical leadership.</p><p>This role is ideal for someone who enjoys taking ownership of projects, mentoring junior engineers, partnering with business stakeholders, and driving technical initiatives that improve business operations.</p><p><br></p><p><strong>Responsibilities</strong></p><ul><li>Lead enterprise infrastructure initiatives (approximately 60–70% of the role).</li><li>Support DevOps projects, automation, and development (approximately 30–40% of the role).</li><li>Build and develop APIs using Python and PowerShell.</li><li>Manage Azure cloud resources, including networks, storage, services, and cloud infrastructure.</li><li>Administer and configure financial ERP systems and enterprise business applications.</li><li>Oversee Microsoft 365 administration, including Exchange Online, SharePoint, Teams, and OneDrive.</li><li>Administer Entra ID (Azure Active Directory), including roles, conditional access, governance, and identity management.</li><li>Manage Microsoft Intune for device deployment and compliance.</li><li>Develop PowerShell scripts, Python automation, and Power Automate workflows to reduce manual effort and improve business and Finance processes.</li><li>Support and enhance integrations between Business Central (ERP), Kantata, Navan, ADP, and other enterprise applications.</li><li>Monitor and optimize Azure cloud resources, performance, and costs.</li><li>Apply security best practices, including MFA, device compliance, least-privilege access, and governance.</li><li>Support audits, compliance initiatives, and security investigations.</li><li>Provide Level 3 support for complex infrastructure and application issues.</li><li>Mentor junior engineers and provide technical leadership.</li><li>Take ownership of projects and work across multiple IT disciplines.</li><li>Partner with business stakeholders to recommend technical solutions and improve operational efficiency.</li><li>Help drive future operational growth and leadership initiatives.</li></ul>
- 2026-09-09T00:00:00Z
- Lawrenceville, Georgia
- onsite
- Permanent / Full Time
- 120000 - 150000 USD / Yearly
- We are looking for an Artificial Intelligence (AI) Engineer to help build and expand practical AI capabilities for the business. This role works closely with functional leaders to uncover meaningful use cases, convert operational challenges into scalable technical solutions, and deliver tools that improve decision-making and efficiency. It is a strong opportunity for a hands-on specialist who enjoys working in a developing environment and wants to influence how AI is applied across the organization.<br><br>Responsibilities:<br>• Partner with business leaders to understand operational pain points and identify where AI can create measurable value.<br>• Translate business needs into solution concepts, technical approaches, and implementable AI initiatives.<br>• Design, develop, test, and deploy AI and machine learning applications that address real-world business problems.<br>• Evaluate repetitive workflows and manual tasks across departments to recommend automation or intelligent assistance opportunities.<br>• Collaborate with teams such as finance, recruiting, and operations to create tools that improve productivity and information flow.<br>• Help establish an internal pipeline of AI initiatives by assessing impact, feasibility, and implementation priorities.<br>• Serve as a bridge between non-technical stakeholders and technical execution by clearly communicating options, risks, and outcomes.<br>• Contribute to the growth of the organization’s AI capability through hands-on development, experimentation, and continuous improvement.
- 2026-09-09T00:00:00Z