Job Description
Job DescriptionBenefits/Perks
- Competitive Compensation
- Flexible Scheduling
- Career Growth Opportunities
Design, develop, and maintain both front-end and back-end components of scalable web applications, incorporating AI-powered tools for rapid prototyping, code generation, and performance analysis.
Implement user interfaces using modern JavaScript frameworks such as React and Angular, leveraging AI-driven design assistants to ensure accessibility, responsive design, and cross-browser compatibility.
Develop server-side logic and services aligned with microservices architecture principles, using AI to optimize service orchestration, anomaly detection, and automated performance tuning.
Build and integrate application components and external services, using AI models to streamline API integration, error handling, and semantic data mapping.
Design and optimize data models using Cosmos DB, Azure Data Factory (ADF), and Kusto (KQL), incorporating AI/ML capabilities for advanced analytics, forecasting, and data anomaly detection.
Implement and maintain CI/CD pipelines using Azure DevOps or GitHub Actions, applying AI to enable intelligent test selection, automated bug triaging, and release validation.
Deploy applications and services on the Azure cloud platform, using AI-based monitoring tools to proactively identify issues, optimize resource utilization, and enhance security posture.
Collaborate with designers, product managers, and other engineers to translate business requirements into technical solutions, supported by AI-driven requirement analysis, user behavior insights, and feature impact prediction.
Conduct code reviews and write unit/integration tests, utilizing AI-assisted code review tools and test generation frameworks to improve coverage, quality, and compliance with Microsoft coding and security standards.
Document system designs, APIs, and processes using AI-powered documentation tools to ensure clarity, consistency, and ease of onboarding