<p><strong>Software Automation Engineer IV</strong></p><p><strong>Location: </strong>Remote, East Coast hours</p><p><br></p><p>We are seeking a senior-level <strong>Automation Engineer IV</strong> to help accelerate the development, deployment, and adoption of AI-enabled solutions across the enterprise. This role will sit at the intersection of <strong>Python engineering, automation, machine learning, software quality, and AI enablement</strong>, helping move AI and ML use cases from development and experimentation into reliable, scalable production environments.</p><p><br></p><p><strong><u>Responsibilities:</u></strong></p><ul><li>Help operationalize <strong>AI and machine learning solutions</strong>, moving models and AI-enabled applications from development into scalable production environments.</li><li>Develop reusable frameworks, utilities, and automation that make it easier for application teams to <strong>integrate and deploy AI capabilities</strong>.</li><li>Build Python-based services, scripts, APIs, and automation workflows supporting AI and ML use cases.</li><li>Partner with technical teams to identify opportunities where <strong>AI can improve existing applications, processes, testing, and operational workflows</strong>.</li><li>Establish repeatable development, testing, deployment, and monitoring practices for AI-enabled applications.</li><li>Code, test, document, implement, and support new or modified machine learning systems supporting a broad range of clinical and enterprise use cases.</li><li>Evaluate emerging technologies and recommend opportunities to reuse existing capabilities versus building new solutions.</li><li>Partner with various SOC Leaders, technical owners, and stakeholders to understand operational challenges and automation opportunities.</li></ul><p>Design, build, and deploy AI-powered solutions such as:</p><ul><li>AI triage bots</li><li>Watchlist automation</li><li>Incident response automation</li><li>Security operations workflows</li><li>AI agents and intelligent automation tools</li><li>Build solutions end-to-end, from requirements gathering through deployment and support.</li><li>Participate in architectural design and technical decision-making.</li><li>Integrate AI and automation tools into existing enterprise systems and workflows.</li><li>Improve SOC efficiency by reducing false positives, manual effort, and administrative tasks.</li><li>Develop software solutions utilizing AWS services and APIs.</li><li>Collaborate across security, engineering, and operations teams.</li></ul>
We are looking for a Senior Software Engineer to join a team delivering scalable, high-quality software solutions in Fort Washington, Pennsylvania. This Long-term Contract opportunity is ideal for a full stack developer who enjoys building and improving enterprise applications across both backend and frontend technologies. The role requires close collaboration with technical and business partners to translate requirements into reliable, well-documented solutions while supporting strong development, testing, and release practices.<br><br>Responsibilities:<br>• Design, build, test, and release software applications and system components in alignment with established engineering and quality standards.<br>• Partner with business stakeholders, project teams, vendors, and technical colleagues to gather needs, evaluate options, and deliver effective technical solutions.<br>• Analyze functional and technical requirements to create dependable application designs and support sound architectural decisions.<br>• Conduct code reviews and validate implementation quality to ensure maintainability, accuracy, and adherence to development standards.<br>• Follow source control, build, configuration, and deployment practices to support stable and efficient software delivery.<br>• Troubleshoot complex application and system issues, identify root causes, and implement durable fixes with minimal supervision.<br>• Produce clear technical documentation and maintain accurate records throughout development, testing, and deployment activities.<br>• Work closely with cross-functional participants to keep deliverables on schedule, within scope, and aligned with project expectations.<br>• Contribute to additional technical initiatives and special assignments as business needs evolve.
We are looking for a Senior Software Engineer to join a team delivering scalable, high-quality software solutions in Fort Washington, Pennsylvania. This is a Long-term Contract position with the potential to transition into a permanent role, offering the opportunity to contribute to complex development initiatives and help shape technical direction. The ideal candidate brings strong experience across modern Microsoft technologies, collaborates effectively with cross-functional partners, and is comfortable solving challenging engineering problems with limited supervision.<br><br>Responsibilities:<br>• Design, build, test, and release software components and applications that align with technical specifications, quality expectations, and project timelines.<br>• Partner with business stakeholders, technical teams, vendors, and project contributors to gather needs, evaluate options, and implement effective technology solutions.<br>• Produce clean, reliable code while maintaining technical documentation and following established practices for source control, testing, and quality management.<br>• Troubleshoot complex application and system issues, perform root-cause analysis, and drive timely resolution of defects and performance concerns.<br>• Support project delivery by providing effort estimates, technical input, and coordination that improves team efficiency and on-time execution.<br>• Mentor entry-level team members by sharing development knowledge, offering technical guidance, and promoting sound engineering practices.<br>• Take ownership of specialized assignments or high-impact initiatives, including serving as a technical lead or subject matter expert when needed.<br>• Contribute to Agile team activities and help advance development processes, testing practices, and deployment standards across the software lifecycle.
We are looking for an experienced Senior Software Engineer to join a team delivering scalable enterprise applications in Fort Washington, Pennsylvania. This Long-term Contract opportunity is ideal for a hands-on technical leader who can guide development efforts, collaborate across business and technology groups, and drive high-quality software delivery. The role calls for strong expertise in modern Microsoft technologies, front-end frameworks, and cloud-based solutions, along with the ability to work independently on complex engineering initiatives.<br><br>Responsibilities:<br>• Lead the design, development, and enhancement of enterprise software applications while coordinating priorities and release plans with business and technical partners.<br>• Translate business needs into practical technical approaches by working closely with stakeholders, vendors, analysts, and project teams.<br>• Contribute to effort sizing and delivery planning to support realistic timelines and successful execution.<br>• Build, maintain, and improve application code while producing clear technical documentation and following established version control and quality practices.<br>• Perform unit testing, troubleshoot defects, optimize application performance, and support deployment readiness for production releases.<br>• Provide assistance for critical production incidents within the assigned application area when elevated support is required.<br>• Independently analyze complex system challenges and create effective architectural and programming solutions.<br>• Facilitate Agile team ceremonies and help keep development activities aligned, organized, and progressing on schedule.
We are looking for a Senior Software Engineer to join a team delivering scalable full stack solutions in Fort Washington, Pennsylvania. This Long-term Contract opportunity is ideal for an experienced developer who enjoys building, enhancing, and supporting business-critical applications across both backend and frontend technologies. The role calls for strong technical judgment, close collaboration with cross-functional partners, and a disciplined approach to software quality, documentation, and delivery.<br><br>Responsibilities:<br>• Build, refine, and release full stack applications by translating business and technical needs into reliable software solutions.<br>• Partner with stakeholders, technical teams, and external contributors to evaluate requirements, recommend approaches, and deliver effective application enhancements.<br>• Analyze system behavior and technical specifications to shape sound design decisions aligned with established architecture principles.<br>• Conduct thorough code reviews and uphold development standards to improve maintainability, performance, and compliance with quality expectations.<br>• Follow approved source control, build, testing, and deployment practices to support stable and efficient software delivery.<br>• Troubleshoot complex application and system issues, identify root causes, and implement durable resolutions with minimal oversight.<br>• Prepare clear technical documentation and ensure code accuracy through consistent use of configuration management and quality assurance processes.<br>• Coordinate with project team members to keep work on schedule, support productivity, and help ensure successful completion of deliverables.<br>• Handle sensitive information appropriately while contributing to additional technical initiatives and assigned special projects as needed.
We are looking for a Senior Software Engineer to join a team building software for connected Linux-based devices in Thorofare, New Jersey. In this role, you will shape backend and platform capabilities, create reliable services for edge environments, and help deliver software that interacts closely with hardware, device interfaces, and cloud-connected systems. This position is ideal for an engineer who brings strong architectural judgment, hands-on development expertise, and a commitment to building maintainable, production-ready solutions.<br><br>Responsibilities:<br>• Create and enhance software services and platform components for embedded Linux systems using Python, Bash, and other suitable programming languages.<br>• Define technical approaches for new features by balancing system performance, reliability, security, ease of maintenance, and long-term support needs.<br>• Build and support APIs that enable communication across device services, user interface elements, diagnostic utilities, and cloud-integrated applications.<br>• Collaborate across software, firmware, and hardware boundaries to connect applications with networking layers, device drivers, sensors, and management interfaces.<br>• Develop processes and tooling for software updates, device setup, provisioning, commissioning, configuration, and remote lifecycle management.<br>• Strengthen observability by implementing logging, telemetry, and diagnostic capabilities that assist quality, manufacturing, and field support teams.<br>• Contribute to containerized deployments and release workflows for Linux edge platforms, including packaging, automation, testing, and distribution activities.<br>• Investigate production and field issues, troubleshoot interactions among device software, connectivity layers, cloud services, and hardware behavior, and drive reliable resolutions.<br>• Participate in code reviews, produce clear technical documentation, and guide less experienced engineers through mentoring and technical collaboration.
We are looking for a Sr. Software Engineer to help shape and advance AI-driven software modernization efforts in Exton, Pennsylvania. This role will guide engineering teams on applied AI practices, improve code conversion quality across varied product environments, and contribute to standards that support scalable adoption throughout the organization. The position is well suited for someone who enjoys complex technical analysis, modern automation, and working across a broad mix of legacy and contemporary technologies with a global team.<br><br>Responsibilities:<br>• Assess complex code conversion outcomes, identify areas where automated results need refinement, and make targeted adjustments when necessary to preserve functionality and accuracy.<br>• Improve AI-based modernization workflows by defining effective coding patterns, highlighting risky translation scenarios, and strengthening output quality over time.<br>• Investigate difficult translation issues by comparing behavior across languages, compilers, runtime environments, and platforms to resolve defects or precision gaps.<br>• Build internal utilities, scripts, and automation that increase efficiency, consistency, and visibility across code modernization initiatives.<br>• Design comprehensive validation strategies and resilient test coverage to confirm that transformed code performs correctly and meets expected standards.<br>• Evaluate emerging AI tools and methods on an ongoing basis, recommending enhancements that keep modernization practices effective and current.<br>• Determine practical boundaries of different technologies and approaches so teams can make informed implementation decisions.<br>• Support broader engineering adoption by mentoring developers, sharing technical guidance, and creating learning materials around AI-assisted development practices.
We are looking for a forward-deployed software engineer to strengthen customer-facing engineering efforts in King of Prussia, Pennsylvania. This role combines software development, operational support, and analytical problem-solving to improve how internal teams and customers interact with core systems. The ideal candidate brings strong backend engineering experience, a practical approach to automation, and the ability to turn technical challenges into reliable, scalable solutions.<br><br>Responsibilities:<br>• Create and enhance internal applications, scripts, and workflows that improve efficiency for customer-facing and engineering teams.<br>• Oversee the health of live systems, investigate irregular behavior, and address risks before they affect users or business operations.<br>• Examine operational and product data to uncover trends, support decision-making, and recommend meaningful improvements.<br>• Investigate customer-reported technical problems, determine root causes, and deliver timely, effective resolutions.<br>• Develop and release product enhancements driven by customer needs while maintaining quality and system stability.<br>• Partner closely with Customer Success, Sales Engineering, and Engineering to remove obstacles and support high-impact initiatives.<br>• Improve platform reliability and performance through thoughtful debugging, optimization, and ongoing maintenance.<br>• Stay informed on evolving technologies and engineering practices, applying new ideas where they add measurable value.
We are looking for a Senior Front End Software Engineer to build modern, scalable web applications. This role combines hands-on Angular development with technical leadership, requiring someone who can shape frontend architecture, elevate engineering standards, and deliver high-quality user experiences. The ideal candidate brings deep expertise in TypeScript and JavaScript, collaborates effectively across product and engineering teams, and helps guide frontend work from concept through release.<br><br>Responsibilities:<br>• Build and enhance enterprise-scale frontend applications with Angular, creating reliable and maintainable solutions that support long-term growth.<br>• Lead technical direction for frontend development by establishing sound architecture, reusable component patterns, and consistent coding practices.<br>• Turn product goals, design concepts, and business needs into intuitive, responsive, and accessible user interfaces.<br>• Improve application speed and stability through performance tuning, bundle optimization, and thoughtful rendering strategies.<br>• Work closely with Product, UX/UI, backend engineers, QA, and DevOps to plan, estimate, and deliver frontend initiatives in an Agile environment.<br>• Oversee code quality through peer reviews, testing guidance, and development standards that strengthen maintainability and release confidence.<br>• Diagnose complex production issues, monitor application health with tools such as New Relic, and drive improvements in reliability and observability.<br>• Support and develop entry-level and mid-level engineers through mentoring, technical coaching, collaborative problem-solving, and knowledge sharing.<br>• Evaluate emerging frontend tools and frameworks, recommending practical improvements that enhance developer experience and product delivery.<br>• Communicate implementation options, technical tradeoffs, and delivery risks clearly to both technical and non-technical stakeholders.
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.
We are looking for an AI Engineer to help build and enhance intelligent software solutions in Fort Washington, Pennsylvania. This Long-term Contract opportunity is ideal for a senior-level engineer who combines deep .NET and C# expertise with practical experience creating AI-driven applications on the Microsoft ecosystem. In this role, you will partner with technical and business teams to deliver scalable products, improve how intelligent agents operate, and introduce modern AI capabilities into enterprise environments.<br><br>Responsibilities:<br>• Create and support enterprise applications and backend services using .NET and C# with a focus on scalability, reliability, and maintainability.<br>• Develop AI-enabled features and agent-based solutions using Microsoft technologies such as Azure AI services, Azure OpenAI, Cognitive Services, and related platform tools.<br>• Connect intelligent agents with business platforms, APIs, and operational workflows so they can perform useful actions across enterprise systems.<br>• Refine model performance by shaping prompts, structuring contextual inputs, and improving how agents interpret and respond to requests.<br>• Build retrieval-based solution patterns, including vector search and indexing approaches, to strengthen response quality and access to relevant knowledge.<br>• Implement orchestration logic, state handling, memory strategies, and feedback mechanisms that support more effective agent behavior and task execution.<br>• Assess AI outputs and agent performance through testing, validation methods, and continuous optimization to improve accuracy and dependability.<br>• Work closely with product, data, engineering, and DevOps teams while also reviewing code, guiding less-experienced developers, and promoting strong development standards.
<p>We are looking for a skilled Sr. IT Security Engineer to join our team in Bensalem, Pennsylvania. In this role, you will lead efforts to design, implement, and manage security solutions that safeguard the organization’s infrastructure and data. Your expertise will be instrumental in developing advanced threat detection systems, conducting vulnerability assessments, and driving compliance with industry standards.</p><p><br></p><p>Responsibilities:</p><p>• Design and deploy centralized security monitoring systems and advanced threat detection solutions to enhance incident response capabilities.</p><p>• Oversee intrusion detection and prevention systems, analyzing and responding to suspicious activities to mitigate risks.</p><p>• Implement and maintain network-based security solutions while establishing data privacy policies.</p><p>• Perform regular vulnerability assessments using tools like Nessus, identifying and remediating security gaps.</p><p>• Develop strategies for zero-day threat protection and manage endpoint protection technologies to prevent malware.</p><p>• Configure and manage identity and access management systems, such as Okta, to ensure secure user authentication.</p><p>• Architect secure network solutions, including firewalls, web content filtering, and data loss prevention systems.</p><p>• Maintain detailed security architecture documentation and provide periodic reports on security posture.</p><p>• Collaborate with IT and compliance teams to promote security best practices and ensure regulatory compliance.</p><p>• Monitor and manage security devices to protect systems from internal and external threats.</p>
<p>We are looking for an experienced Lead Software Engineer to guide the design, enhancement, and support of warehouse management solutions. This role partners closely with operations, technology teams, and external partners to turn business goals into reliable system capabilities that improve warehouse performance. The ideal candidate brings deep Manhattan WMS expertise, strong technical leadership, and a practical understanding of supply chain processes in a production environment.</p><p><br></p><p>Responsibilities:</p><p>• Lead the architecture, configuration, and ongoing support of Manhattan WMS solutions across core warehouse functions.</p><p>• Translate operational needs into business, functional, and technical documentation that supports development and delivery efforts.</p><p>• Work closely with warehouse stakeholders to define system changes that align application capabilities with day-to-day business processes.</p><p>• Build, maintain, and troubleshoot integrations between WMS, transportation platforms, enterprise applications, and related downstream systems.</p><p>• Create and enhance reports, queries, and data outputs to address reporting needs and support business decision-making.</p><p>• Investigate production issues, coordinate resolution activities across teams, and participate in rotating on-call support for continuous operations.</p><p>• Support application upgrades, implementations, and testing activities, including validation planning and execution.</p><p>• Collaborate with project managers, developers, vendors, and cross-functional teams to prioritize work, define schedules, and deliver solutions.</p><p>• Mentor entry-level team members, share system knowledge, and provide training on new features, enhancements, and software updates.</p><p>• Review development practices and recommend improvements that strengthen software quality, efficiency, and long-term supportability.</p>
<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>
<p><strong>Cloud Engineer II</strong></p><p><strong>This Statement of Work covers a six-week Phase 0 proof-of-concept engagement. Phase 0 is intended to validate feasibility, not to deliver an enterprise-scale production service.</strong></p><p><strong>This position will deploy an open-weight model endpoint in the client's infrastructure in AWS, connect it to OpenCode, and provide enough evidence for the client to decide whether to proceed to Phase 1.</strong></p><p><strong>The Phase 0 business case is based on validating whether open-weight inference can work for non-Opus coding workloads, with success criteria including model quality, latency, throughput, end-to-end developer flow, developer satisfaction, and a go/no-go decision for the next phase.</strong></p><p><br></p><p><br></p><p>Responsibilities</p><p>• Deploy and configure an AWS-hosted, open-weight coding model endpoint using client-provided infrastructure.</p><p>• Configure model-serving runtime, GPU allocation, endpoint exposure, health checks, service routing, basic error logging, credential handling, and repeatable deployment artifacts.</p><p>• Expose the model endpoint through an OpenAI-compatible API path capable of supporting representative coding prompts.</p><p>• Configure and validate OpenCode integration with the model endpoint, including any required adapter, proxy, gateway, or compatibility layer.</p><p>• Demonstrate end-to-end OpenCode-to-model request flow for representative coding-agent workflows.</p><p>• Demonstrate representative coding-assistance use cases, including code completion, code explanation, unit test generation, refactoring assistance, error diagnosis, small feature implementation, tool usage, repository/file-context prompts where supported prompts and agent skills, and OpenCode/Open Spec workflows.</p><p>• Collect and save basic performance data in Grafana, including time to first token, end-to-end latency, tokens per second, concurrency behavior, error rate, GPU utilization, and memory utilization.</p><p>• Implement baseline observability for the POC, including logs, health checks, basic metrics, and simple dashboard or metric views where feasible.</p><p>• Provide reusable deployment and configuration artifacts, such as Helm values, Kubernetes manifests, scripts, runtime configuration, gateway/proxy configuration, runbook, troubleshooting notes, and environment assumptions.</p><p>• Support limited developer validation with a small client-designated pilot group if access, timing, and dependencies allow.</p><p>• Support a lightweight quality comparison between the open-weight model and client's current coding-assistant experience if time and access allow.</p><p>• Provide preliminary Phase 1 sizing inputs, including throughput observations, bottlenecks, latency drivers, scaling considerations, recommended AWS instance families, and remaining unknowns.</p><p>• Deliver a written final report covering architecture, deployment, OpenCode integration results, functional test results, performance measurements, technical gaps, security and operational considerations, cost and scale observations, reusable artifacts, and Phase 1 readiness.</p><p>• Deliver a clear Phase 1 go/no-go recommendation, including required changes, unresolved risks, and recommended next steps for AWS-based enterprise-scale implementation.</p><p>• Conduct a knowledge-transfer session with stakeholders at the end of the engagement.</p>
We are looking for a Data Scientist to join a healthcare-focused technology team in Bala Cynwyd, Pennsylvania on a Long-term Contract basis. This position will support predictive analytics initiatives tied to state programs, quality oversight, compliance monitoring, and risk evaluation. The role is well suited for someone who can work comfortably across technical analysis, stakeholder communication, and team guidance while using modern Microsoft-based data tools.<br><br>Responsibilities:<br>• Build and refine predictive models that support healthcare analytics, quality measurement, compliance assessment, and risk-related reporting.<br>• Analyze complex datasets to uncover trends, generate actionable insights, and improve decision-making for program and operational stakeholders.<br>• Create interactive dashboards and reporting solutions in Power BI to present findings in a clear and business-friendly format.<br>• Use R, Python, SQL, and related tools to prepare data, perform statistical analysis, and develop repeatable analytical workflows.<br>• Work within Azure and Microsoft-based data environments, including SQL Server and MySQL, to manage and access structured data sources.<br>• Partner with analysts and business teams to translate technical results into practical recommendations for non-technical audiences.<br>• Provide day-to-day guidance and informal leadership within a small analytics team, helping coordinate priorities and support best practices.<br>• Contribute to data engineering and integration activities, including ETL processes and the use of tools such as Spark, Hadoop, and Kafka where needed.<br>• Leverage approved AI tools such as Copilot to improve efficiency in analysis, documentation, and reporting tasks.
We are looking for a Snowflake Data Engineer to build modern data solutions that support analytics, AI, and enterprise decision-making. This role will focus on creating reliable pipelines, scalable data models, and secure data products within a Snowflake environment. The position is based in Radnor, Pennsylvania, and offers the opportunity to work closely with engineering, security, product, and business teams on high-impact initiatives.<br><br>Responsibilities:<br>• Architect and maintain scalable data pipelines, transformation workflows, and structured data models within Snowflake to support reporting, analytics, and AI use cases.<br>• Develop and deploy AI and machine learning capabilities using Snowflake-native tools, including intelligent agents, search-driven experiences, and customer-facing applications where applicable.<br>• Define and manage semantic views and business logic layers that provide governed, consistent definitions for analytics and AI consumption.<br>• Implement and support data ingestion frameworks using technologies such as Kafka, Snowpipe, APIs, Openflow, and third-party connectors, including integrations with enterprise platforms like NetSuite.<br>• Create reusable engineering utilities and automation with SQL, SnowSQL or related Snowflake tooling, Python, and JavaScript when appropriate.<br>• Establish strong production standards through automated testing, data quality validation, observability, exception handling, and controlled deployment processes.<br>• Tune queries, pipelines, AI workloads, and data structures to improve performance, scalability, maintainability, and downstream usability.<br>• Design secure data-sharing solutions and data-product delivery patterns for internal stakeholders, external partners, and customers.<br>• Collaborate with platform administrators and security teams to align access controls, governance requirements, identity integration, and production readiness for Snowflake solutions.<br>• Investigate and resolve issues affecting pipelines, semantic models, applications, and data quality while partnering across technical and business teams to deliver durable solutions.
<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>Technical Project Manager II </strong></p><p><strong>Location:</strong> Hybrid 4x Onsite Weekly, Mount Laurel, NJ</p><p><strong>Job Type:</strong> Contract</p><p><strong>Pay: </strong>Available on W2</p><p><strong>Overview</strong></p><p>We are seeking an experienced <strong>Technical Project Manager II</strong> to lead and deliver complex IT initiatives in a fast-paced enterprise environment. This role is responsible for managing large-scale programs consisting of multiple concurrent projects, driving Agile best practices, and ensuring successful delivery of technology solutions that align with business objectives.</p><p>The ideal candidate will bring a strong background in <strong>Agile project management, Scrum leadership, stakeholder communication, and enterprise program delivery</strong>, along with a proven ability to coordinate cross-functional teams and deliver results on time and within budget.</p><p><strong>Key Responsibilities</strong></p><ul><li>Manage complex, enterprise-scale IT programs and projects from initiation through delivery.</li><li>Lead Agile teams and promote Scrum principles, values, and best practices.</li><li>Serve as a Scrum Master and Agile leader, coaching teams on Agile methodologies and tools.</li><li>Develop and maintain project plans, schedules, budgets, milestones, and resource allocations.</li><li>Track and report project KPIs, risks, dependencies, and overall program health.</li><li>Ensure projects remain aligned with business goals, priorities, and strategic objectives.</li><li>Coordinate activities across multiple engineering, development, and business teams.</li><li>Communicate project strategy, status updates, risks, and changes to technical and business stakeholders.</li><li>Identify delivery risks and drive mitigation strategies to support successful outcomes.</li><li>Partner with leadership teams to prioritize technology initiatives and maximize business value.</li><li>Facilitate collaboration between engineering, deployment, and operational teams to improve solution delivery and sustainability.</li><li>Monitor project portfolios and recommend adjustments to scope, timing, resources, or budgets as needed.</li></ul><p><br></p>
<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.