• Develop and manage Microsoft Dataverse data models, tables, relationships, business rules, security roles, and integrations to support business applications.
• Develop intelligent workflows and process automation solutions to improve operational efficiency and business productivity.
• Integrate business applications with Microsoft 365, SharePoint Online, Microsoft Dataverse, databases, REST APIs, and third-party systems.
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Integrate applications with relational or NoSQL databases, third-party systems, APIs and cloud services to support end-to-end business processes.
Translate business and functional requirements into practical technical designs, reusable application components and maintainable software solutions.
Develop and deploy applications on cloud platforms such as Microsoft Azure, AWS or Google Cloud Platform in accordance with approved architecture and security standards.
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Conduct rigorous testing and provide ongoing maintenance for applications to uphold performance and reliability standards.
Cultivate deep insights into clients' businesses and industries, leveraging this understanding to identify and capitalize on new opportunities for innovation and improvement.
Foster strong client relationships through clear and effective communication, collaborating closely with both clients and superiors to achieve project success.
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Cloud & Deployment: Manage application deployment lifecycles on cloud-based Linux Virtual Machines, leveraging Kubernetes for container orchestration, scaling, and high availability.
Production Monitoring & Incident Response: Proactively monitor the health, performance, and uptime of production servers and applications. Rapidly troubleshoot, diagnose, and resolve any live issues, bottlenecks, or system outages to ensure continuous availability.
Code Quality & Security: Establish and enforce rigorous software testing methodologies (unit, integration, and E2E). Lead comprehensive code reviews to ensure code quality, maintainability, and adherence to strict security best practices.
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Drive software quality through code reviews, automated testing, and test coverage improvements using tools such as JUnit, Cucumber, Cypress, and similar frameworks.
Develop and maintain CI/CD pipelines and support DevOps practices that enable reliable and efficient software delivery.
Investigate, troubleshoot, and resolve production issues, performing root cause analysis to prevent recurrence.
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In addition, you are leading the software engineering direction by establishing engineering standards, promoting DevSecOps best practices, providing technical coaching and contributing to the AWS cloud software engineering community.
Bachelor’s degree in Computer Science, Information Systems Management or in similar fields – Master/PhD is a bonus (CGPA > 3.0 or similar grading is a must)
8+ years of experience in software engineering with a track record of ownership in cross-functional teams, excellent communication skills, and a strong focus on continuous learning, technical curiosity, mentoring and driving high-impact engineering outcomes.
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