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>We are looking for a Network Automation Engineer to support software reliability, deployment automation, and production stability for a long-term contract opportunity. In this role, you will help improve engineering workflows by building monitoring capabilities, resolving application issues, and contributing to release quality practices. This position is ideal for a hands-on individual who can collaborate with development and QA teams while working within established processes and technical guidance.</p><p><br></p><p>Responsibilities:</p><p>• Design, build, and evaluate technical solutions that support application performance, stability, and operational efficiency.</p><p>• Investigate production incidents, identify root causes, and implement timely fixes to restore service and prevent recurrence.</p><p>• Create and maintain automated deployment pipelines using configuration management and CI tools to streamline software delivery.</p><p>• Develop monitoring and alerting capabilities that improve visibility into system health and application behavior.</p><p>• Contribute to software maintenance activities, including updates, configuration improvements, and operational support tasks.</p><p>• Establish and refine standards used to assess product quality and determine release readiness.</p><p>• Recommend practical enhancements to engineering methods, testing approaches, and deployment processes to strengthen outcomes.</p><p>• Partner closely with software engineers and QA teams to sustain reliable continuous delivery across critical systems.</p><p>• Support application provisioning and management across virtualized and cloud-based environments, including containerized platforms where applicable.</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><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>
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.
<p><strong>DevOps Engineer III (Contract)</strong></p><p><strong>Location:</strong> Philadelphia, PA (Onsite 5 Days/Week)</p><p><strong>Employment Type:</strong> W2, Long Term Contract</p><p><strong>Job Category:</strong> Wireless Test Engineer</p><p><strong>Overview</strong></p><p>We are seeking an experienced <strong>Wireless Test Engineer</strong> to support wireless network performance initiatives and critical technology operations in a fast-paced enterprise environment. This role combines DevOps engineering, automation, cloud infrastructure, testing, analytics, and wireless device performance evaluation to help deliver high-quality customer experiences across mobile and wireless networks.</p><p>The ideal candidate will bring strong experience with infrastructure automation, CI/CD, cloud technologies, containerization, systems operations, and wireless device testing within 4G/5G environments.</p><p><strong>Key Responsibilities</strong></p><p>Comments:</p><p>Roles Responsibilities:</p><ul><li>Support the XM performance team for measuring the wireless network performance including 4G 5G and Wi Fi network Mobile.</li><li>Develop and maintain testing strategy test plans and test cases for measuring the overall customer experience.</li><li>Collect logs and perform triaging of defects from iOs and android device testing.</li><li>Perform data analytics and visualization</li><li>Perform a walk test in the field to simulate some customer experience use cases.</li><li>Prepare the test report and presentation to show the test finding.</li><li>Coordinate debugging sessions between OEMs and engineering teams to investigate issues for resolution.</li><li>Ability to work adhere to all NDAs and work on confidential projects at Comcast. Able to drive technical conversations with OEM partners with regards to device defects and debugging as needed.</li><li>Collaborate with internal cross-functional teams deliver activities and tasks necessary for successful launch and achievement of business objectives.</li></ul>
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.