Understand and determine user requirements in collaboration with stakeholders.
Lead architecture discussions, create proposals, and partially own solutions with minimal technical oversight.
Independently plan and assure quality of solutions, defining success outcomes for tests.
Drive identification of dependencies and development of design documents.
Lead by example in coding, optimizing, debugging, and reusing code to improve performance and maintainability.
Leverage expertise to drive project plans, release plans, and work items.
Maintain operations of live service and act as a Designated Responsible Individual (DRI) on a rotational, on-call basis.
Drive efforts to integrate instrumentation for telemetry data on system behavior.
Build and enhance software developer tools, contribute to open source, and remain current with skills.
Embody the culture and values of the organization.
Requirements :
Bachelor's Degree in Computer Science or related technical discipline and 9+ years of software engineering experience with coding in languages such as C, C++, C#, Java, JavaScript, or Python.
Proven experience in full-stack development, including but not limited to backend (ASP.NET, .NET Core, Java, Web API), frontend (ASP.NET MVC, JavaScript frameworks- Angular/React etc.) and database (SQL etc.) development.
Hands-on experience with Azure services, including but not limited to Azure App Service, Azure Functions, Azure SQL Database, Azure Storage, and Azure Cosmos DB.
Familiarity with SOLID principles and experience in writing clean, maintainable, and efficient code.
Strong analytical and problem-solving skills, with the ability to debug complex issues and implement effective solutions.
Troubleshoot and debug issues in both backend and frontend components, ensuring timely resolution and minimal impact on users.
Understanding of coding standards, best practices, and security guidelines.
Strong attention to detail and a commitment to writing clean, maintainable, and efficient code.
Experience with observability tools and practices, such as application performance monitoring (APM), logging, tracing, and telemetry.
Nice-to-have: Understanding of AI/ML concepts and GEN AI technologies.
Excellent communication and collaboration skills, with the ability to work effectively in a team environment.
Ability to adapt to changing priorities and thrive in a fast-paced, dynamic environment.