We are looking for a highly motivated and experienced IT manager to lead our embedded systems and hardware initiatives in Hammonton, New Jersey. This role requires a deep understanding of hardware security, embedded systems, and the ability to mentor and guide a diverse team of professionals. If you have a passion for innovation and delivering exceptional client satisfaction, this opportunity is perfect for you.<br><br>Responsibilities:<br>• Lead and manage embedded systems and hardware projects, ensuring integration with firmware and software ecosystems.<br>• Provide mentorship and technical guidance to team members, fostering skill development and knowledge sharing.<br>• Monitor and analyze industry trends to drive innovative solutions and enhance team competencies.<br>• Collaborate with clients to identify their needs and articulate the value of embedded systems and hardware solutions.<br>• Conduct application security assessments, including threat modeling, design reviews, and vulnerability testing.<br>• Perform reverse engineering on hardware and software components to identify and address security weaknesses.<br>• Facilitate training sessions and develop resources to improve team expertise in embedded systems and security topics.<br>• Investigate and report vulnerabilities, recommending remediation strategies and demonstrating risk impact through post-exploitation activities.<br>• Track compliance with product security requirements throughout the software and hardware development lifecycle.<br>• Develop and implement methodologies and tools to improve security practices and solutions.
<p><strong>Senior Cloud Engineer</strong></p><p><strong>Location:</strong> Remote</p><p><strong>Start Date:</strong> January 12, 2026 (or upon clearance)</p><p><strong>Duration:</strong> 12 Month Contract</p><p><strong>Travel:</strong> Limited, possible</p><p><strong>Important Requirements</strong></p><ul><li>The selected candidate must obtain <strong>Public Trust security clearance</strong>.</li><li>Additional background screenings will be conducted upon acceptance.</li></ul><p><strong>Position Overview</strong></p><p>We are seeking a highly skilled and motivated <strong>Senior Cloud Engineer</strong> to design, implement, and maintain secure, scalable, and resilient cloud infrastructure for mission-critical systems. This role involves collaboration across multiple teams to ensure operational excellence and compliance with security standards.</p><p> <strong>Key Responsibilities</strong></p><ul><li>Design, deploy, and manage <strong>Azure cloud infrastructure</strong> using <strong>Terraform</strong> for Infrastructure as Code (IaC).</li><li>Develop and maintain reusable Terraform modules and templates.</li><li>Implement and manage Azure services (VMs, Virtual Networks, Storage Accounts, App Services, AKS, Azure SQL).</li><li>Collaborate with DevOps, Security, and Application teams to ensure robust CI/CD pipelines and secure configurations.</li><li>Automate provisioning, configuration, and scaling of cloud resources.</li><li>Monitor system performance, optimize costs, and ensure high availability and disaster recovery readiness.</li><li>Enforce cloud governance, security best practices, and compliance standards.</li><li>Troubleshoot infrastructure issues and provide operational support.</li><li>Document architecture, standards, and automation processes.</li></ul>
We are looking for an experienced Data/ETL Engineer to join our team in Malvern, Pennsylvania. This role involves designing and implementing robust data pipelines to support business needs, while also contributing to AI-driven strategies through data preparation and insights. The ideal candidate will have strong expertise in data engineering, ETL processes, and machine learning models.<br><br>Responsibilities:<br>• Develop scalable ETL processes to extract, transform, and load data from diverse sources into a centralized data warehouse.<br>• Troubleshoot and resolve system and data-related errors to maintain data quality and integrity.<br>• Collaborate with stakeholders to translate business requirements into efficient data solutions.<br>• Clean, transform, and prepare large datasets for machine learning applications, addressing issues such as missing values and inconsistencies.<br>• Apply feature engineering techniques, including data scaling, normalization, and encoding, to optimize dataset usability.<br>• Design and deploy machine learning models, integrating AI solutions into existing systems.<br>• Perform model evaluation, hyperparameter tuning, and cross-validation to ensure optimal performance.<br>• Utilize Python and relevant libraries such as Pandas, NumPy, and TensorFlow to implement data processing workflows.<br>• Work within Agile teams to review user stories, estimate tasks, and contribute to sprint deliverables.<br>• Leverage cloud-based resources, including serverless tools like AWS Lambda and S3, to enhance data engineering processes.
