We are looking for an Azure Cloud Engineer – AI & Automation to join a contract opportunity based in Pennsylvania. In this role, you will help shape and support secure Azure environments while enabling AI-driven capabilities across cloud infrastructure, automation, and platform operations. This position is ideal for someone who enjoys balancing hands-on engineering with governance, reliability, and scalable delivery practices in a highly regulated environment.<br><br>Responsibilities:<br>• Create and support Azure-based solutions spanning infrastructure, connectivity, identity, storage, and managed platform services in line with enterprise architecture and security expectations.<br>• Develop and optimize deployment automation using infrastructure-as-code and modern release pipelines through tools such as Azure DevOps, GitHub Actions, Bicep, and Terraform.<br>• Operate and administer AI services across Azure AI Foundry, Azure OpenAI, Claude, and related platforms, including model setup, permission management, policy enforcement, evaluation, and live environment support.<br>• Establish and govern secure integrations for Model Context Protocol and connected enterprise systems by applying strong authentication, access controls, and data protection standards.<br>• Manage APIs, event-driven components, and security gateway configurations that enable AI services and automated workflows to connect with business applications reliably.<br>• Build retrieval-augmented AI solutions using Azure AI Search, embeddings, and vector-based data patterns to improve access to enterprise knowledge.<br>• Maintain and enhance automation solutions built with Power Automate, Logic Apps, and Copilot Studio, supporting integrations with Microsoft 365, Teams, SharePoint, and ServiceNow.<br>• Strengthen cloud governance through Azure Policy, tagging strategy, cost oversight, monitoring, logging, and operational observability tools such as Azure Monitor and Application Insights.<br>• Support Microsoft Fabric administration by overseeing tenant settings, workspace permissions, capacity controls, data access, and usage visibility across supported workloads.<br>• Contribute technical documentation, reusable standards, KPI/KRI reporting, change review activities, and incident or release support for cloud and AI environments.
<p>We are looking for an experienced Sr. Cloud Engineer to lead the design and operation of secure, scalable cloud environments. This role focuses on building resilient multi-cloud infrastructure across AWS and Microsoft Azure while advancing automation, governance, and operational reliability. The ideal candidate brings strong expertise in Terraform, cloud architecture, and enterprise-wide security practices, along with a practical approach to performance monitoring and cost control.</p><p><br></p><p>Responsibilities:</p><p>• Build and manage multi-cloud infrastructure across AWS and Azure with a focus on security, scalability, and reliability.</p><p>• Create and enhance infrastructure automation using Terraform to standardize provisioning, configuration, and ongoing platform management.</p><p>• Establish enterprise cloud governance by designing landing zones, multi-account structures, and policy controls across AWS and Azure environments.</p><p>• Monitor platform health, security posture, compliance status, and service availability using native and third-party observability tools.</p><p>• Partner with application and infrastructure teams to develop backup, disaster recovery, high-availability, and failover solutions that support business continuity.</p><p>• Review cloud environments regularly to improve resource utilization, strengthen security controls, and reduce unnecessary spend.</p><p>• Advise stakeholders on cloud architecture, operational best practices, troubleshooting, and approaches for moving on-premises systems into cloud platforms.</p><p>• Design and maintain identity and access management models, including role-based access and federated identity solutions across cloud accounts and subscriptions.</p><p>• Produce and maintain clear technical documentation covering architecture standards, configurations, procedures, and support processes.</p><p>• Contribute to capacity planning, performance tuning, and long-term platform optimization initiatives across enterprise cloud services.</p>
We are looking for a Desktop Support Analyst to provide hands-on technical support for end users in a healthcare environment in Philadelphia, Pennsylvania. This is a Contract position focused on maintaining reliable workstation performance, resolving desktop-related issues, and delivering responsive support across Windows-based systems. The ideal candidate brings practical experience with hardware troubleshooting, account administration, and desktop imaging while ensuring a smooth day-to-day technology experience for staff.<br><br>Responsibilities:<br>• Provide technical assistance for desktop computers, workstations, and peripheral devices, diagnosing issues and restoring functionality in a timely manner.<br>• Install, configure, and support Windows 10 systems to ensure consistent performance, security, and usability for end users.<br>• Manage user accounts and access requests within Active Directory, including password resets, permissions updates, and basic account maintenance.<br>• Perform desktop imaging, system setup, and equipment deployment for new and existing employees across the organization.<br>• Troubleshoot hardware-related problems involving PCs, monitors, docking stations, printers, and other end-user equipment.<br>• Document support activities, recurring issues, and resolution steps to improve service efficiency and knowledge sharing.<br>• Coordinate device replacements, software installations, and workstation upgrades in alignment with operational needs.<br>• Escalate complex incidents when necessary and collaborate with broader IT teams to achieve timely resolution.
We are looking for a Data Engineer to join a growing team in Conshohocken, Pennsylvania within the financial services industry. In this role, you will build and enhance modern data pipelines and warehouse structures that support reporting, analytics, and business decision-making. You will partner with technical and business teams to deliver reliable, well-governed data solutions using Python, Azure Synapse Analytics, and related cloud technologies.<br><br>Responsibilities:<br>• Build and support scalable data pipelines using Python, including PySpark, within Azure Synapse Analytics notebooks and pipeline workflows.<br>• Design, load, and maintain warehouse structures in a massively parallel processing environment, applying dimensional modeling concepts such as facts and dimensions.<br>• Ingest and transform data from a range of sources, including APIs, databases, and flat files, to create dependable datasets for downstream use.<br>• Improve the efficiency and reliability of Azure Synapse processes by tuning queries, refining workloads, and addressing performance constraints.<br>• Partner with data architects, analysts, and other stakeholders to translate business needs into practical data models and engineering solutions.<br>• Establish validation routines and data quality controls to promote completeness, consistency, and accuracy across datasets.<br>• Monitor scheduled jobs and pipeline activity, troubleshoot failures, and implement corrective actions to maintain service levels.<br>• Document data flows, transformation logic, technical configurations, and operating procedures to support maintainability and knowledge sharing.<br>• Apply security, privacy, and governance standards to data solutions while supporting broader data platform initiatives such as lakes, lakehouses, and cataloging practices.