We are looking for a Cyber Security Engineer to strengthen and operate a broad range of security technologies across cloud, infrastructure, endpoints, networks, and applications in Columbus, Ohio. This position is best suited for someone who enjoys hands-on engineering work, from deploying controls and refining detections to resolving incidents and improving overall resilience. The role focuses on day-to-day security operations and technical implementation rather than high-level policy ownership.<br><br>Responsibilities:<br>• Configure and optimize protective controls for web-facing environments, including application-layer defenses, traffic filtering, automated threat mitigation, and denial-of-service protection.<br>• Deploy and maintain security measures across cloud platforms, identity services, network architecture, storage environments, and centralized logging solutions.<br>• Operate security monitoring and response tooling by managing alerts, improving detection logic, building dashboards, and streamlining workflows through automation.<br>• Coordinate incident response activities, including investigation, containment, forensic review, root cause analysis, and remediation planning.<br>• Drive vulnerability reduction efforts by supporting scanning, penetration testing, attack path evaluation, and security improvements within application environments.<br>• Support secure access initiatives through administration of Zero Trust technologies, firewalls, VPN platforms, segmentation controls, and hybrid infrastructure security.<br>• Strengthen identity and access management practices for collaboration platforms by enforcing appropriate permissions, access governance, and least-privilege standards.<br>• Contribute to compliance, risk, and audit readiness efforts while helping promote security awareness and operational adherence to required controls.
<p>We are looking for an experienced Senior Infrastructure Architect/Engineer to support enterprise cloud architecture initiatives for a great organization in Marysville, Ohio. This Long-term, Multi-Year Contract position is primarily onsite four days per week and focuses on designing, implementing, and optimizing scalable infrastructure across cloud and hybrid environments. The ideal candidate will bring deep expertise in Windows and Linux administration, cloud platforms, container technologies, and infrastructure automation while partnering with technical teams to deliver reliable, resilient solutions.</p><p><br></p><p>Responsibilities:</p><p>• Design, deploy, and maintain Windows and Linux server environments across major cloud infrastructure platforms.</p><p>• Drive cloud infrastructure initiatives from planning through execution while ensuring solutions align with enterprise architecture and technical standards.</p><p>• Assess platform and container service options to improve system performance, availability, scalability, and operational flexibility.</p><p>• Research emerging infrastructure technologies and lead adoption efforts where they add measurable value to the environment.</p><p>• Oversee the movement of on-premises infrastructure into cloud-based environments while preserving compatibility with existing enterprise systems.</p><p>• Implement and support Kubernetes-based container platforms, including enterprise distributions such as Red Hat OpenShift, in accordance with architectural guidelines.</p><p>• Diagnose and resolve complex issues affecting cloud compute, storage, and containerized workloads.</p><p>• Build and enhance automation for provisioning, configuration management, and ongoing administration across cloud and on-prem environments.</p>
We are looking for a Network & Hosting Infrastructure Specialist to support enterprise infrastructure visibility and access across network and server environments in Westerville, Ohio. This Long-term Contract position focuses on resolving credential and connectivity issues, improving discovery coverage, and helping ensure reliable data collection from a wide range of infrastructure sources. The ideal candidate brings strong hands-on experience across network devices, server platforms, and authentication methods, along with the ability to work independently in complex enterprise environments.<br><br>Responsibilities:<br>• Investigate and resolve authentication, credential, and access issues affecting network equipment and server infrastructure across enterprise environments.<br>• Maintain and verify access methods for hosting and network platforms to support thorough and reliable infrastructure discovery activities.<br>• Analyze connectivity problems involving routers, switches, firewalls, load balancers, and server systems, and drive issues through resolution or escalation.<br>• Partner with infrastructure teams to keep credential repositories, authentication settings, and access controls accurate and aligned with operational needs.<br>• Configure and support service graph connectors to promote consistent and dependable flow of infrastructure data into connected platforms.<br>• Plan, adjust, and improve discovery timing to fit maintenance windows, reduce conflicts, and maximize scan effectiveness.<br>• Create clear technical documentation covering credential practices, recurring infrastructure issues, troubleshooting steps, and resolution approaches.<br>• Provide technical guidance on network layouts, device configurations, and server environments to support broader infrastructure management efforts.<br>• Contribute to ServiceNow modernization-related activities as needed, including discovery and integration support tied to infrastructure data quality.
<p>We are looking for an Artificial Intelligence (AI) Platform Engineer to support the design, operation, and enhancement of enterprise AI platform capabilities in central OH. This Long-term Contract position will focus on creating dependable services, infrastructure, and automation that help teams build, deploy, and manage AI solutions at scale.</p><p><br></p><p>The AI Platform Engineer is responsible for building, operating, and continuously improving the core platform capabilities that enable development, deployment, and scaling of AI solutions across our client's enterprise environment.</p><p> </p><p>This role focuses on implementing platform services, APIs, and infrastructure that support the AI software development lifecycle, including model integration, orchestration, deployment, and monitoring. Working under architectural guidance, the engineer ensures platform components are reliable, secure, and reusable, enabling application teams to efficiently develop and deploy AI-enabled solutions.</p><p> </p><p>The position emphasizes hands-on engineering, cloud platform operations, and automation, ensuring AI workloads execute consistently and efficiently across environments. Through collaboration with platform, data, and application teams, the AI Platform Engineer contributes to improving developer experience, accelerating adoption of AI capabilities, and maintaining stable, scalable platform operations.</p><p><br></p><p><br></p><p><br></p><p>Responsibilities:</p><p>• Build and maintain core AI platform services that support model development, integration, deployment, and ongoing operations across enterprise environments.</p><p>• Develop APIs, reusable components, and infrastructure patterns that enable application teams to deliver AI-enabled solutions more efficiently.</p><p>• Manage cloud-based platform operations to ensure AI workloads run reliably, securely, and consistently at scale.</p><p>• Implement automation for provisioning, deployment, monitoring, and support processes to improve platform stability and reduce manual effort.</p><p>• Collaborate with platform, data, and software engineering teams to align technical solutions with architectural standards and business needs.</p><p>• Monitor platform health, troubleshoot operational issues, and drive continuous improvements in performance, resilience, and usability.</p><p>• Support orchestration and lifecycle management of AI services, including deployment workflows, runtime management, and observability.</p><p>• Contribute to a scalable engineering environment that accelerates enterprise adoption of AI capabilities while maintaining strong operational controls.</p>