**Core Tasks:** + Support Quality Management and Automated Quality Management Cloud initiative product development, ensuring global customer success. + Begin with resolving small product issues, progressing to new feature development. + Distill requirements from feature level into implementation level tasks + Evaluate whether implementation tasks meet feature requirements and work with Team Lead and Technical Architect to ensure it does. + Guide the team in writing clean, maintainable, and efficient code using Python and Java. + Architect and implement AI-driven solutions for automation, analytics, and decision-making. + Ensure adherence to best practices in AI model training, deployment, and monitoring. + Implement and maintain automated testing frameworks (PyTest, Cucumber, Selenium, etc.). + Conduct rigorous code reviews to uphold software quality. + Drive process improvements for test automation and CI/CD pipelines. + Oversee CI/CD pipelines for efficient deployment of AI and full-stack applications. + Optimize cloud-based solutions (AWS, Azure) for performance and cost-efficiency. + Guide the team in setting up infrastructure for AI workloads in the cloud. + Develop and implement technical strategies to drive innovation in AI and full-stack development. + Stay updated with emerging technologies in AI/ML, full-stack development, and cloud computing. + Evaluate new tools and frameworks to enhance product capabilities. + Work closely with cross-functional teams, including product managers, designers, and other developers. + Lead Agile Scrum ceremonies such as sprint planning, daily stand-ups, and retrospectives. + Align development activities with business objectives and product roadmaps. + Support departmental and team initiatives **Management and Leadership:** + Communicate relevant risks and issues to Team Lead and other relevant team members inside and/or outside the team + Take responsibility for technical implementation and decision making including the delivery of features + Identify, monitor and resolve feature related issues; escalate if individual resolution is not possible **Knowledge and Expertise:** + Be seen as a person who when faced with technical challenges can work as part of a team to resolution + Support and provide input to development tools, environment and 3 rd party software selection + Develop an understanding of the target market and technology used + Help provide information to resolve disputes and make tradeoffs **Mandatory Skills :** + Degree in Computer Science, Engineering, or equivalent with 6+ years of experience in full-stack development, including AI/ML integration. + 3+ years of experience in full-stack development. + Working experience with MERN Stack (MongoDB, Express.js, React.js, Node.js), Python, Java/J2EE technologies, EXTJS, C#. + 2+ years of experience in Vue.js, JavaScript, HTML5, CSS, TypeScript, UI Development, Node.js, RESTful Web Services, and NoSQL databases (MongoDB, DynamoDB). + 1+ years of experience working with Python, Machine Learning technologies, NLP, and Python libraries like Pandas, Keras, TensorFlow, and Scikit-Learn. + Experience with Computer Vision, Speech Analytics, and Deep Learning techniques. + Hands-on experience in at least 2-3 computer vision/deep learning use cases such as detection, tracking, classification, recognition, and intent understanding using TensorFlow/Keras/PyTorch frameworks. + Working experience with cloud technologies AWS, Azure (OKD/OpenShift experience is a plus). + Experience with containerization and orchestration tools such as Kubernetes, Docker. + Hands-on experience with CI/CD tools like Harness and Jenkins. + Experience with Infrastructure as Code (IaC) using Terraform. + Working knowledge of Linux/Unix services. + Experience with monitoring tools such as Datadog and/or OpsGenie. + Strong background in test automation using Cucumber, PyTest, Selenium. + Experience in voice & video recording platforms is advantageous. + Strong programming background, capable of designing and delivering solutions quickly. + Experience with Agile methodologies (JIRA, Scrum/Kanban). + Strong leadership, mentoring and problem-solving skills. + Ability to collaborate effectively across teams. + Excellent communication skills, both written and verbal. + Able to work independently under general direction towards predetermined longer-term goals + Able to troubleshoot and identify root cause of issues while liaising with engineering teams, support and end customers + Ability to work as part of a matrixed team, building supportive and collaborative relationships with colleagues to meet Verint’s objectives + Experience of software development within a team + Understanding of software development life cycle methodologies – especially Agile Scrum + Passionate about customer success.