Senior Level - 1 (Dotnet)

Required Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent practical experience.
• 9+ years of professional application development experience in enterprise, product, or client-facing software environments.
• Strong hands-on experience with GitHub, including repository management, pull request workflows, code review practices, GitHub Actions, and release/version control processes.
• Experience supporting software releases, production deployments, release validation, and defect resolution.
• Practical experience with AI-assisted engineering or AI release workflows, such as using AI tools for code assistance, test generation, release notes, quality checks, or engineering productivity.
• Working knowledge of APIs, application services, databases, and front-end or back-end application patterns.
• Hands-on experience building and maintaining OLTP databases, including relational data modeling, schema design, normalization, SQL query development, indexing, transaction handling, performance troubleshooting, and data integrity controls.
• Ability to support database changes for application releases, including migration scripts, version-controlled database updates, validation, rollback planning, and collaboration with engineering, QA, and release teams.
• Ability to write clear documentation and communicate technical updates to technical and non-technical stakeholders.
• Strong analytical, troubleshooting, and problem-solving skills.
• Ability to work independently and collaboratively in a fast-paced environment with changing priorities.

Preferred Qualifications

• Experience with Microsoft technology stacks such as .NET, C#, ASP.NET Core, Azure, SQL Server, or Azure DevOps.
• Experience with cloud-based application delivery, microservices, containers, or deployment automation.
• Familiarity with secure coding, privacy-aware development, accessibility, and release governance practices.
• Experience working with distributed teams or US-based clients.
• GitHub certifications, Microsoft Azure certifications, or relevant AI engineering learning credentials are a plus.