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 tdrive 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 tenhance 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.
Management and Leadership:
Mentor and develop team members through coaching and career growth opportunities.
Foster a collaborative team environment that encourages open communication and knowledge sharing.
Make informed decisions that impact software projects and team dynamics.
Address and resolve conflicts within the team tmaintain a positive work environment.
Knowledge and Expertise:
Be recognized as a solid technical resource within the team.
Be seen as a person who, when faced with complex technical challenges, can work as part of a team tresolution.
Support and provide input tdevelopment tools, environment and 3rd party software selection.
Share technical knowledge with the team tfoster skill development.
Mandatory Skills :
Degree in Computer Science, Engineering, or equivalent with 12+ years of experience in full-stack development, including AI/ML integration.
5+ years of experience in full-stack development, with at least 2 years in a leadership role.
Working experience with MERN Stack (MongoDB, Express.js, React.js, Node.js), Python, Java/J2EE technologies, EXTJS, C#.
3+ years of experience in Vue.js, JavaScript, HTML5, CSS, TypeScript, UI Development, Node.js, RESTful Web Services, and NoSQL databases (MongoDB, DynamoDB).
2+ 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 & viderecording 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 tcollaborate effectively across teams.
Excellent communication skills, both written and verbal.
Mandatory Skills :
Degree in Computer Science, Engineering, or equivalent with 12+ years of experience in full-stack development, including AI/ML integration.
5+ years of experience in full-stack development, with at least 2 years in a leadership role.
Working experience with MERN Stack (MongoDB, Express.js, React.js, Node.js), Python, Java/J2EE technologies, EXTJS, C#.
3+ years of experience in Vue.js, JavaScript, HTML5, CSS, TypeScript, UI Development, Node.js, RESTful Web Services, and NoSQL databases (MongoDB, DynamoDB).
2+ 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 & viderecording 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 tcollaborate effectively across teams.
Excellent communication skills, both written and verbal.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Full Stack DeveloperEmployement Type: Full time