We are looking for an experienced DevOps Engineer to support a high-impact legal technology initiative within the real estate and property industry in Fort Washington, Pennsylvania. This Long-term Contract position is ideal for someone who can strengthen and refine deployment practices in a complex, code-driven environment while balancing speed, stability, and security. The role requires a hands-on, detail-oriented individual who can improve release processes, support scalable delivery, and apply strong judgment when working with sensitive legal data.<br><br>Responsibilities:<br>• Lead the review, redesign, and optimization of existing DevOps workflows to improve reliability, efficiency, and release quality.<br>• Manage deployment activities for a growing greenfield environment, including planning and executing rollback strategies as user adoption expands.<br>• Oversee release coordination and delivery practices to ensure controlled, consistent movement of code across environments.<br>• Administer and enhance DevOps operations within a Copado governance framework focused on legal business systems.<br>• Partner with development teams to support code-intensive builds and align DevOps practices with application delivery needs.<br>• Contribute expertise in MuleSoft-related development environments to support integration-aware deployment and release planning.<br>• Apply strong security principles to protect sensitive legal information throughout build, deployment, and release processes.<br>• Use tools such as Azure DevOps, Salesforce DevOps, and Copado to strengthen automation, governance, and deployment execution.
We are looking for a Portal Engineering Lead to guide the architecture, development, and delivery of enterprise portal solutions in Jenkintown, Pennsylvania. This position combines hands-on engineering with technical leadership, partnering closely with product, architecture, quality, security, and operations teams to build reliable, secure, and accessible digital experiences. The ideal candidate brings deep expertise across modern backend and frontend technologies, champions engineering best practices, and drives continuous improvement from planning through production support.<br><br>Responsibilities:<br>• Guide the technical design and hands-on development of portal applications using C#, modern .NET platforms, APIs, integrations, and contemporary Angular or React user interfaces.<br>• Convert business and product goals into clear technical plans, actionable work items, delivery estimates, and risk mitigation strategies for the engineering team.<br>• Apply AI-enabled development tools to accelerate prototyping, coding, refactoring, and test creation while ensuring solutions remain secure, accurate, and maintainable.<br>• Establish engineering standards for source control, peer review, documentation, and completion criteria to improve code quality and long-term supportability.<br>• Work closely with quality engineering partners to define test coverage, expand automated unit, integration, and end-to-end testing, and confirm accessibility expectations are met.<br>• Oversee deployment of portal enhancements in Azure through GitHub-based workflows and CI/CD pipelines, ensuring stable releases and strong delivery discipline.<br>• Partner with cloud and operations teams to strengthen monitoring, telemetry, alerting, and service objectives, and lead root-cause analysis and resolution for production incidents.<br>• Ensure authentication, authorization, and data protection practices align with security and compliance expectations, while maintaining operational runbooks and deployment documentation.<br>• Lead and mentor distributed developers, support agile planning activities, and collaborate with product, architecture, and external partners on solution direction and delivery quality.
We are looking for an experienced DevOps Engineering Manager to lead platform and automation efforts in Fort Washington, Pennsylvania. This role will guide a team responsible for improving software delivery, strengthening infrastructure reliability, and advancing cloud operations across modern engineering environments. The ideal candidate brings a blend of people leadership and technical depth, with the ability to shape DevOps practices that support scalable, secure, and efficient product delivery.<br><br>Responsibilities:<br>• Guide and develop a DevOps team by promoting ownership, continuous learning, and strong engineering practices across day-to-day operations.<br>• Create and implement a plan to elevate operational capabilities, helping team members grow into modern DevOps-focused roles.<br>• Work closely with engineering, product, and business leaders to align platform investments with delivery objectives and organizational priorities.<br>• Establish and advance DevOps standards across continuous integration, deployment automation, observability, reliability, and security practices.<br>• Design, enhance, and scale CI/CD pipelines to support dependable, repeatable, and efficient software releases across multiple teams.<br>• Lead the adoption of infrastructure as code using tools such as Terraform, Ansible, CloudFormation, Terragrunt, or Bicep to improve consistency and governance.<br>• Oversee cloud infrastructure strategy across Azure and AWS, ensuring environments are secure, resilient, and capable of supporting high-traffic digital experiences.<br>• Define and monitor operational and delivery metrics to improve deployment performance, system uptime, incident response, and overall engineering efficiency.<br>• Drive cloud cost awareness and optimization efforts by partnering with finance and technical stakeholders to improve visibility and resource utilization.<br>• Strengthen production readiness through effective monitoring, alerting, incident management, and the integration of DevSecOps principles into pipelines and infrastructure.
<p>We are looking for a Lead ServiceNow Engineer to support enterprise CRM initiatives for a healthcare-focused organization in New York, New York. This Long-term Contract position is ideal for a detail-oriented individual who can combine technical development with business analysis to deliver scalable, well-documented CRM solutions. The role will focus on configuring and enhancing platform capabilities, building integrations, and translating stakeholder needs into effective system outcomes.</p><p><br></p><p>Responsibilities:</p><p>• Design, configure, and enhance CRM solutions to support operational and business objectives across the organization.</p><p>• Develop client-side scripting and custom components to improve user experience, automation, and system functionality.</p><p>• Gather stakeholder input and convert business needs into clear business requirement documents and technical specifications.</p><p>• Build and maintain APIs and related integrations to enable reliable data exchange between CRM and connected systems.</p><p>• Manage configuration changes across environments while maintaining system stability, version control, and deployment accuracy.</p><p>• Partner with cross-functional teams to troubleshoot issues, evaluate enhancement requests, and recommend practical solutions.</p><p>• Support Salesforce development activities, including customization, workflow improvements, and feature optimization.</p><p>• Document system design decisions, development updates, and configuration standards to promote maintainability and compliance.</p>
We are looking for a Software QA Test Engineer to join a semiconductor equipment team in Fort Washington, Pennsylvania on a contract basis with the potential for a permanent role. In this role, you will help verify the performance, stability, and reliability of complex software that supports precision equipment, working closely with engineering and cross-functional partners in an Agile environment. The position offers hands-on involvement with both simulated platforms and production hardware while contributing to high-quality releases for advanced automation systems.<br><br>Responsibilities:<br>• Create and maintain comprehensive test strategies, detailed test cases, and execution scripts for software used in real-time equipment control.<br>• Partner with developers, systems engineers, and distributed team members to clarify requirements and confirm test readiness for new functionality.<br>• Conduct functional, integration, end-to-end, and regression testing to evaluate software behavior across multiple operating scenarios.<br>• Record, prioritize, and follow software defects through resolution using established issue-tracking practices and tools.<br>• Build and enhance automated validation routines in Python to improve repeatability and broaden system-level test coverage.<br>• Assess software performance in simulation environments as well as on physical semiconductor manufacturing equipment.<br>• Assist with equipment demonstrations, qualification activities, and customer acceptance events by validating system operation and issue resolution.<br>• Analyze unexpected system behavior, isolate root causes, and collaborate with development teams to drive effective fixes.<br>• Recommend and implement improvements to QA workflows, testing tools, and overall coverage to strengthen product quality.
<p><strong>Machine Learning Engineer I (Contractor)</strong></p><p><strong>Employment Type:</strong> Contract</p><p><strong>Location: </strong>Hybrid/Onsite, Philadelphia, Reston, or Irvine, CA </p><p><strong>Job Category:</strong> Data Engineering / Machine Learning</p><p><strong>Long Term Contract </strong></p><p><strong>Overview</strong></p><p>We are seeking a <strong>Machine Learning Engineer I</strong> to support the development of data-driven products and solutions. This role is ideal for an early-career engineer with experience working with large datasets, building data pipelines, and supporting machine learning initiatives. You will partner closely with Data Scientists and Research teams to prepare, process, and deliver high-quality data that powers machine learning models and advanced analytics solutions.</p><p>This position focuses heavily on <strong>data engineering and pipeline development</strong> in support of machine learning workflows. Candidates with strong Python and Apache Spark experience and a passion for working with data are encouraged to apply.</p><p><strong>Key Responsibilities</strong></p><ul><li>Build, maintain, and optimize data pipelines for machine learning and analytics applications.</li><li>Ingest, validate, cleanse, transform, and monitor large datasets used for model training and production systems.</li><li>Support the implementation, refinement, validation, and deployment of machine learning algorithms and models.</li><li>Collaborate with Data Scientists and researchers to prepare data for machine learning model training and evaluation.</li><li>Assist with proof-of-concept initiatives and contribute to future product and application development efforts.</li><li>Test, evaluate, and document solutions, including results, recommendations, and technical findings.</li><li>Create and maintain technical documentation, requirements, evaluation plans, and project-related reports.</li><li>Help monitor model performance and support production machine learning environments.</li></ul><p><br></p>