We are looking for a DevOps Engineer to support the delivery, reliability, and security of mission-critical platforms in Princeton, New Jersey. This role focuses on building and sustaining containerized environments, improving deployment processes, and strengthening operational visibility across distributed systems. The ideal candidate brings strong infrastructure automation experience and can work effectively with engineering and support teams to maintain stable, scalable services.<br><br>Responsibilities:<br>• Design, implement, and maintain resilient container-based platforms using Kubernetes and OpenShift across cloud, data center, and edge environments.<br>• Manage application deployment, configuration, patching, and ongoing lifecycle support for distributed systems operating in both connected and restricted networks.<br>• Develop and optimize monitoring solutions with Prometheus and Grafana, including dashboards, alerts, and service health indicators that improve incident response.<br>• Install and validate software releases in development and test environments, support regression testing, and coordinate production rollouts with minimal service disruption.<br>• Build and scale containerized services with Docker and Kubernetes to support enterprise and edge-ready architectures.<br>• Configure and support identity and access integrations with enterprise authentication platforms such as Microsoft Entra ID and related infrastructure services.<br>• Investigate user-reported issues through ticketing workflows, document resolutions, and maintain operational runbooks and knowledge resources.<br>• Partner with analysts, engineers, and technical stakeholders to convert operational needs into deployable solutions and feed production issues back into product improvements.<br>• Apply DevSecOps practices including vulnerability remediation, image hardening, secrets handling, and support for secure compliance-oriented environments.<br>• Participate in after-hours support and on-call rotations to address outages, performance issues, and other high-priority production events.
<p>The Senior Software Engineer is a hands-on technical leadership position responsible for designing, building, and maintaining high-quality software solutions. This role emphasizes both individual development work and ownership of design decisions for features and subsystems. Modern tools, including AI-assisted development and architectural support, are leveraged to drive delivery while maintaining accountability for technical outcomes.</p><p><br></p><p><strong>Responsibilities:</strong></p><p><br></p><ul><li>Design, implement, test, and maintain scalable, secure, and reliable applications and services.</li><li>Act as a senior technical contributor, with responsibility for the design and implementation of features and subsystems.</li><li>Contribute actively to development tasks, applying advanced coding expertise in several programming languages and frameworks.</li><li>Participate in architectural discussions and support incremental evolution of systems with team leads.</li><li>Conduct code reviews and mentor engineering team members, fostering best practices and ongoing improvement.</li><li>Translate requirements from product owners, business analysts, and stakeholders into technical solutions.</li><li>Identify and mitigate technical risks in assigned systems and projects.</li><li>Support and enhance cloud-based applications (Azure, AWS) with emphasis on performance, reliability, and scalability.</li><li>Collaborate effectively with onshore and offshore teams to ensure successful project execution.</li><li>Keep abreast of industry trends and new technologies to encourage innovation.</li><li>Utilize AI-assisted tools to expedite design, documentation, and implementation, while ensuring technical quality.</li><li>Lead and support AI-related initiatives, drawing on prior experience with AI/ML technologies; recommend and implement suitable AI tools and frameworks.</li><li>Test and demonstrate emerging AI tools and platforms via proofs of concept (POCs) to highlight business value.</li><li>Guide customers in leveraging AI to optimize business processes; support teams working on business-facing AI efforts.</li><li>Collaborate with stakeholders to contribute to defining an AI roadmap aligned with organizational strategy and technology objectives.</li></ul>
We are looking for an experienced LMS Instructional Developer to collaborate with faculty, curriculum teams, and technology specialists in crafting innovative learning solutions for competency-based medical education. This role emphasizes enhancing the design, accessibility, and effectiveness of digital learning resources and platforms while adhering to accreditation standards. This is a long-term contract position based in Piscataway, New Jersey.<br><br>Responsibilities:<br>• Partner with faculty and curriculum leaders to design and implement technology-driven learning solutions.<br>• Develop and enhance digital course content and materials to ensure accessibility and consistency.<br>• Align learning objectives and assessments with competency-based frameworks and accreditation requirements.<br>• Train faculty on the effective use of educational technologies and digital tools to improve teaching practices.<br>• Create interactive and engaging technology-enabled learning experiences to boost learner engagement.<br>• Optimize instructional platforms and tools to enhance course delivery and assessment outcomes.<br>• Conduct regular reviews of digital learning materials to ensure compliance with institutional standards.<br>• Collaborate with IT teams to troubleshoot and maintain learning systems and platforms.<br>• Provide ongoing support for faculty and students in navigating digital learning environments.