Associate Tech Lead - FullStack

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 3rd 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 8+ years of experience in full-stack development, including AI/ML integration.
• 5+ years of experience in full-stack development with Java/C#, Python, Vue.js, JavaScript, HTML5, CSS, TypeScript, UI Development, Node.js, RESTful Web Services, and SQL databases.
• 3+ year of working experience with MERN Stack (MongoDB, Express.js, React.js, Node.js)
• 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 & 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.

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 3rd 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 8+ years of experience in full-stack development, including AI/ML integration.
• 5+ years of experience in full-stack development with Java/C#, Python, Vue.js, JavaScript, HTML5, CSS, TypeScript, UI Development, Node.js, RESTful Web Services, and SQL databases.
• 3+ year of working experience with MERN Stack (MongoDB, Express.js, React.js, Node.js)
• 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 & 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.

Mandatory Skills :

• Degree in Computer Science, Engineering, or equivalent with 8+ years of experience in full-stack development, including AI/ML integration.
• 5+ years of experience in full-stack development with Java/C#, Python, Vue.js, JavaScript, HTML5, CSS, TypeScript, UI Development, Node.js, RESTful Web Services, and SQL databases.
• 3+ year of working experience with MERN Stack (MongoDB, Express.js, React.js, Node.js)
• 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 & 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.