Virtelligence is a leading global IT and healthcare technology consulting firm with over 25 years of experience, supporting more than 200 health systems and enterprise clients worldwide. We specialize in digital transformation, cloud adoption, and innovative workforce solutions. Website: https://www.virtelligence.com LinkedIn: https://www.linkedin.com/company/virtelligence/ ________________________________________ Work Details Position Overview: Full Stack Software Engineer (MERN + PHP) Job Summary: We are looking for a highly capable Full Stack Software Engineer with strong experience in the MERN stack (MongoDB, Express.js, React.js, Node.js) along with PHP-based backend development. The ideal candidate will possess solid software engineering fundamentals, experience building scalable applications, and the ability to work across multiple technologies and architectures. You will be responsible for designing, developing, and maintaining secure, high-performance web applications while collaborating with cross-functional teams to deliver robust solutions. ________________________________________ Key Responsibilities: Frontend Development Backend Development (Node.js & PHP) Full Stack & System Responsibilities ________________________________________ Required Technical Skills Core Technologies o MongoDB o Express.js o React.js o Node.js o Custom PHP development o MVC frameworks (Laravel, Zend, Symfony – preferred) Frontend & UI ________________________________________ Software Engineer Core Skills ________________________________________ Preferred / Nice-to-Have Skills ________________________________________ Soft Skills ________________________________________ Education & Experience Job Type: Full-time Work Location: In person
DevOps Engineer
We are seeking a skilled AWS DevOps Engineer to design, implement, and maintain scalable, reliable, and secure cloud infrastructure on Amazon Web Services (AWS). The ideal candidate will have hands-on experience with CI/CD pipelines, automation, infrastructure as code (IaC), and modern DevOps practices to enhance system performance and ensure smooth development and deployment processes. Key Responsibilities: Required Skills and Qualifications:
Computer Vision Engineer
Motive empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable. For the first time ever, safety, operations and finance teams can manage their drivers, vehicles, equipment, and fleet related spend in a single system. Combined with industry leading AI, the Motive platform gives you complete visibility and control, and significantly reduces manual workloads by automating and simplifying tasks. Motive serves nearly 100,000 customers – from Fortune 500 enterprises to small businesses – across a wide range of industries, including transportation and logistics, construction, energy, field service, manufacturing, agriculture, food and beverage, retail, and the public sector. Visit gomotive.com to learn more. About the role: As a Computer Vision Engineer, you will be a part of a passionate team whose mission is to bring intelligence to the world’s trucks. The team is focused on building technology to understand driving behavior, identify risk factors, and intelligently suggest coachable events that not only improves the fleet safety and potentially save millions of dollars but also contribute to making the roads safer. You will have a unique opportunity to work with a high caliber and fast-paced team which consists of experienced researchers and engineers in Computer Vision, Machine Learning, Deep Learning, and Robotics with a track record of previous products and top-tier publications. You will play a critical role in building and improving a technology that will be used by millions of trucks. In this role, you will design and implement complex computer vision systems. You will have the opportunity to build and/or improve algorithms for edge processing, implement cloud services, and integrate them to deliver end-to-end product features. You will also get exposure to large-scale ML infra and scaling that facilitates large amounts of data to train, test, and validate computer vision systems. What You’ll Do: What We’re Looking For: