Translate business requirements into scalable, maintainable technical solutions within Agile development teams.
Design, build, and support AI-enabled applications, agents, and intelligent workflows.
Evaluate, implement, and optimize AI-augmented software development lifecycle (SDLC) practices.
Develop and maintain automated testing solutions for UI, API, and database validation using Playwright and related technologies.
Participate in sprint planning, code reviews, testing, CI/CD processes, and collaborative software delivery activities.
Troubleshoot application, performance, and testing issues, including test reliability and automation framework improvements.
Collaborate with cross-functional teams to deliver high-quality software and drive continuous improvement initiatives.
What technical skills, experience and qualifications do you need?
Core Development & SDLC
Strong grounding in OOP principles and developing high-quality, maintainable, scalable code Strong understanding of data modeling, migrations, LINQ, and performance optimization with Entity Framework Core
Proficiency in SQL Server, including scripting, execution-plan analysis, indexing, and query tuning
Experience building scalable, modular applications with C# and .NET Core
Proficiency in at least one modern front-end framework for building responsive, interactive web applications (e.g., Blazor, React, Angular, or Vue)
Proficiency with JavaScript and/or TypeScript for modern web application development
Practical use of AI-assisted development tools such as GitHub Copilot, Cursor, or Claude Code for code generation, refactoring, testing, and review
Hands-on experience with Azure Functions or comparable serverless technologies
Proficiency in responsive UI development using Bootstrap or similar CSS frameworks
Familiarity with Git, CI/CD pipelines, and collaborative development workflows
Experience working in Agile/Scrum environments and delivering moderate- to high-complexity work within sprint cycles
Preferred: familiarity with MediatR, Clean Architecture, Fluxor (or similar state-management libraries), and resilience patterns such as Polly
Preferred: experience with containers and orchestration technologies such as Docker and Kubernetes
AI & Intelligent Systems
Experience with LLM architecture, prompt engineering, RAG, semantic search, vector databases, and agentic AI patterns
Hands-on experience building AI agents or AI-enabled workflows for development, QA, performance testing, or security automation
Strong knowledge of Azure AI Foundry, Azure OpenAI Service, and modern AI/ML frameworks
Ability to design and optimize AI-augmented SDLC workflows with measurable efficiency gains
Ability to build and incorporate AI-enabled, streamlined platform workflows
Familiarity with AI-assisted documentation practices and the ability to evaluate AI-generated output, including awareness of model limitations and risks
Test Automation & Quality Engineering
Experience with test parallelization, test-data management, and flaky-test triage
Preferred: proficiency with Playwright for UI, API, and database testing, including mocking
Preferred: experience with performance-testing tools such as Artillery, JMeter, K6, or Locust
Preferred: experience in a risk-based, automation-first engineering environment
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