AI Fullstack Engineer

Desired candidate Profile Snapshot:

• Design, develop, test, deploy, and support full-stack web solutions using modern frontend, backend, cloud, and database technologies.
• Develop responsive user interfaces using Angular, HTML, CSS, JavaScript, and related frontend frameworks.
• Build and maintain backend services, APIs, integrations, and microservices using Java, Python, and cloud-native technologies.
• Design and implement scalable AWS cloud and serverless solutions using services such as Lambda, API Gateway, S3, and related platform services.
• Develop and support Drupal-based websites, content management solutions, and platform integrations.
• Drive application modernization initiatives, including migration from legacy platforms to modern architectures and frameworks.
• Implement secure coding practices and support application security, compliance, vulnerability remediation, and risk mitigation activities.
• Apply DevSecOps best practices, including CI/CD automation, source control, automated testing, code quality reviews, and release management.
• Design and develop REST APIs and enterprise integrations with internal and external systems.
• Identify and implement opportunities to leverage AI, Generative AI, Agentic AI, and automation technologies to improve business processes and user experience.
• Support development and integration of workflow automation solutions using platforms such as UiPath and related automation technologies.
• Collaborate with Product Managers, Architects, Technical Leads, UX designers, QA engineers, and business stakeholders to translate requirements into scalable technical solutions.
• Troubleshoot complex production issues, perform root cause analysis, and implement sustainable solutions.
• Create technical designs, architecture diagrams, documentation, and implementation plans.
• Provide technical leadership, mentor junior engineers, and promote engineering best practices across the team.
• Participate in Agile ceremonies, estimation, sprint planning, code reviews, and continuous improvement initiatives.
• Research and evaluate emerging technologies, frameworks, and tools to drive innovation and improve engineering efficiency.
• Ensure solutions meet performance, scalability, reliability, maintainability, and customer experience objectives.