<p>We are looking for an experienced Solutions Architect to support enterprise-level telecom strategy and solution design in Philadelphia, Pennsylvania. This is a long-term contract position focused on shaping scalable, secure, and integrated architecture across complex network, platform, and software environments. The role partners with technical teams to evaluate current-state capabilities, define architecture direction, and guide implementation decisions that align with business priorities.</p><p><br></p><p>Responsibilities:</p><p>• Lead enterprise architecture planning and recommend technical priorities that support long-term business and infrastructure goals.</p><p>• Define and promote architecture standards, design principles, and technical guidelines for integrated technology solutions across networks, platforms, and applications.</p><p>• Assess existing applications to identify modernization opportunities, operational risks, cost considerations, and performance improvements.</p><p>• Provide documented recommendations on infrastructure options that can be used as applications are modernized, re-architected with specific focus on determining how applications can migrate to Kubernetes and other cloud based infrsstructure. </p><p>• Create architecture frameworks, reference models, and documentation to support the rollout of revised technical standards and cross-system integration efforts.</p><p>• Contribute to the development and oversight of architecture governance practices to ensure solution consistency, compliance, and design quality.</p><p>• Provide senior-level technical direction to project teams during planning, design, implementation, and optimization activities.</p><p>• Evaluate solution options by balancing security, scalability, interoperability, and business impact across enterprise environments.</p><p>• Monitor emerging telecom and infrastructure technologies to recommend innovations that strengthen the organization’s architecture strategy.</p>
We are looking for a Senior MLOps Engineer to strengthen our machine learning infrastructure in King of Prussia, Pennsylvania. This hybrid position will focus on building dependable systems that support the full model lifecycle, from data preparation and training to deployment and ongoing performance oversight. The role works closely with machine learning and engineering partners to improve reliability, scalability, and cost efficiency across production ML operations.<br><br>Responsibilities:<br>• Lead the design, maintenance, and enhancement of the machine learning platform that supports experimentation, training workflows, model versioning, deployment, and production observability.<br>• Develop and operate resilient data pipelines for model training and live inference, including processes for replaying historical data, recovering from source interruptions, and handling delayed or inconsistent inputs.<br>• Establish data handling practices that preserve time-accurate training sets so models are built on information available at the correct point in time.<br>• Create repeatable pathways for promoting validated models into production while maintaining consistency, traceability, and operational stability.<br>• Implement standards that make training runs reproducible, allowing teams to reliably compare results and investigate performance changes.<br>• Track model behavior in production over time, including delayed outcome validation, and surface issues that affect model quality or business impact.<br>• Optimize infrastructure and workflows to manage compute and data costs as usage expands across larger datasets and multiple deployed models.<br>• Collaborate with ML engineers on model assessment, production readiness, and technical decision-making related to deployment strategies and platform improvements.<br>• Contribute to architecture planning and recommend enhancements to the broader ML and operational ecosystem using sound engineering practices.<br>• Support cloud-native operations using AWS, Kubernetes, Terraform, and Ansible to maintain scalable and well-managed environments.
<p><strong>SQL - Application Development Analyst IV (Contract)</strong></p><p><strong>Contract - </strong>Potential for Extension or Conversion</p><p><strong>Location: </strong>Philadelphia, PA (Remote EST)</p><p><strong>Pay: </strong>Available on W2</p><p><strong>Overview</strong></p><p>We are seeking a <strong>SQL Application Analyst</strong> to support and enhance a large-scale real-time reporting platform used by thousands of business users. This role blends data engineering, application support, and stakeholder engagement, making it ideal for someone who enjoys solving complex data challenges while serving as a technical owner for a critical business application.</p><p>The successful candidate will have strong SQL expertise, experience troubleshooting production systems, and the ability to work across technical and business teams to ensure data integrity, platform reliability, and continuous improvement.</p><p><strong>Key Responsibilities</strong></p><ul><li>Serve as the primary technical owner for a business-critical real-time reporting application.</li><li>Investigate and resolve production issues, support requests, and data-related incidents.</li><li>Perform data validation, analysis, and troubleshooting across multiple systems and environments.</li><li>Trace data flows from source systems through reporting platforms and downstream applications.</li><li>Collaborate with business stakeholders to understand reporting requirements and implement requested enhancements.</li><li>Review and manage application access requests and access audits.</li><li>Support onboarding and integration of new data sources into the reporting environment.</li><li>Coordinate and communicate application changes, issue resolution, and project updates to internal stakeholders.</li><li>Partner with technical teams and external support vendors to maintain platform stability and performance.</li><li>Identify opportunities for process improvements and enhancements to data quality and reporting capabilities.</li></ul><p><br></p>
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.
We are looking for an RF Design Engineer to develop and refine wireless hardware solutions that support anti-theft and tagging technologies used in retail and industrial settings in Thorofare, New Jersey. This position covers the full product lifecycle, from RF architecture and simulation through PCB implementation, prototyping, laboratory verification, and regulatory approval. The role partners closely with engineering, manufacturing, and test teams to deliver reliable, production-ready radio designs with strong real-world performance.<br><br>Responsibilities:<br>• Develop RF front-end designs for Sub-GHz and 2.4 GHz wireless systems, including architecture definition, performance targets, and detailed design specifications.<br>• Build and analyze link budgets, matching approaches, power profiles, and functional block diagrams to support robust radio performance.<br>• Select and integrate critical RF components such as amplifiers, filters, switches, mixers, couplers, and shielding solutions based on product needs.<br>• Lead antenna assessment and integration for embedded and external options, while optimizing tuning and overall system efficiency.<br>• Own RF-focused multilayer PCB design work, including impedance control, grounding strategy, isolation methods, and layout constraints for high-performance wireless products.<br>• Use RF and electromagnetic simulation tools to evaluate signal behavior, stability, parasitic effects, antenna performance, and coexistence between multiple radios.<br>• Perform laboratory bring-up and validation using standard RF test equipment, capturing measurements for return loss, transmission, output power, sensitivity, and interference behavior.<br>• Coordinate compliance testing activities for applicable regulatory standards, document results, and work with external labs to address issues identified during certification.<br>• Collaborate with firmware, mechanical, manufacturing, and test teams to support calibration processes, production test development, yield improvement efforts, and failure analysis.