Senior Software Engineer

We are seeking a highly experienced Senior Full Stack Developer with 10+ years of software development experience and strong expertise in .NET, C#, Azure Cloud Services, SQL Server, PostgreSQL, and AI/ML technologies. The ideal candidate will be responsible for designing, developing, and maintaining scalable enterprise applications, cloud-native solutions, and data-driven platforms.

This role requires hands-on experience in full-stack application development, cloud architecture, database design, API development, and the application of AI/ML solutions to solve business challenges.

Required Qualifications

Education

• Bachelor's or Master's Degree in Computer Science, Information Technology, Engineering, or a related field.

Experience

• 10+ years of experience in software development.
• Extensive experience in enterprise application development using .NET and C#.
• Hands-on experience with Microsoft Azure Cloud Services.
• Strong experience in database design, development, and optimization using SQL Server and PostgreSQL.
• Experience working on AI/ML-enabled applications or data-driven solutions.

Required Technical Skills

Backend Development

• C#
• .NET Framework
• .NET Core / ASP.NET Core
• RESTful API Development
• Microservices Architecture
• Web Services Integration
• python

Frontend Development

• JavaScript
• TypeScript
• React.js, Angular, or equivalent frameworks
• HTML5
• CSS3
• Responsive Web Design

Cloud Platforms & Services

• Microsoft Azure
• Azure App Services
• Azure Functions
• Azure Storage
• Azure SQL Database
• Azure Kubernetes Service (AKS)
• Azure DevOps
• Azure Active Directory
• Application Insights
• Cloud Security and Governance

Databases

• Microsoft SQL Server
• PostgreSQL
• Database Design
• Data Modeling
• Stored Procedures
• Query Optimization
• Performance Tuning
• Data Integration

AI/ML

• Machine Learning Fundamentals
• Predictive Analytics
• Data Mining
• Statistical Analysis
• AI/ML Model Integration
• Data-Driven Application Development

DevOps & Tools

• Git
• Azure DevOps
• CI/CD Pipelines
• Docker
• Kubernetes
• Agile/Scrum Methodologies

Preferred Qualifications

• Experience with Databricks, Azure Machine Learning, or AI services.
• Knowledge of Generative AI and Large Language Models (LLMs).
• Experience with event-driven architectures and messaging platforms.
• Azure Certifications (AZ-204, AZ-305, AZ-400, AI-102) are highly desirable.
• Experience working in large-scale enterprise or cloud transformation projects.

Soft Skills

• Excellent problem-solving and analytical abilities.
• Strong communication and stakeholder management skills.
• Ability to lead technical discussions and mentor team members.
• Strong collaboration and teamwork mindset.

Ability to work in a fast-paced, Agile environment.

Key Responsibilities

Application Development

• Design, develop, and maintain scalable full-stack applications using .NET Core, ASP.NET Core, and C#, Python and .Net
• Build and optimize RESTful APIs and backend services for enterprise-grade applications.
• Develop responsive, user-friendly web applications and ensure seamless integration with backend systems.
• Implement software design patterns, coding standards, and best practices to ensure high-quality deliverables.
• Conduct code reviews and contribute to architectural and technical design discussions.

Cloud Development

• Design, deploy, and manage applications on Microsoft Azure.
• Develop cloud-native solutions leveraging Azure services.
• Implement secure, scalable, and highly available cloud architectures.
• Work with Azure App Services, Azure Functions, Azure Storage, Azure SQL, Azure Kubernetes Service (AKS), and Azure DevOps.
• Monitor and optimize cloud resources for performance, security, and cost efficiency.

Database Development

• Work with SQL Server and PostgreSQL to design efficient database schemas and data models.
• Write, optimize, and maintain complex SQL queries, stored procedures, and database objects.
• Perform database performance tuning, indexing, and query optimization.
• Manage data workflows, data integration processes, and ensure data integrity across systems.
• Support business intelligence, reporting, and analytics initiatives.

AI/ML & Advanced Analytics

• Apply Artificial Intelligence (AI) and Machine Learning (ML) techniques to solve business problems and improve operational efficiency.
• Collaborate with data scientists and stakeholders to develop and deploy predictive and analytical models.
• Integrate AI/ML capabilities into enterprise applications.
• Support data analytics, statistical modeling, and business insight generation.
• Evaluate emerging AI technologies and recommend innovative solutions.

Architecture & Integration

• Design scalable and maintainable application architectures.
• Implement microservices and distributed system architectures.
• Integrate enterprise applications, databases, cloud services, and third-party systems.
• Ensure application security, reliability, scalability, and maintainability.

Collaboration & Leadership

• Work closely with cross-functional teams including Product Management, Data Engineering, Business Analysts, and DevOps teams.
• Mentor junior developers and provide technical leadership.
• Participate in Agile ceremonies including sprint planning, retrospectives, and technical reviews.
• Drive technical innovation and continuous improvement initiatives.