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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and developing cloud-native applications and RESTful APIs using C#, .NET 8+, and Microsoft Azure, while effectively guiding teams in AI-assisted development practices and ensuring secure coding standards. Proficient in troubleshooting production issues and enhancing application performance through observability and collaboration across cross-functional teams.
Highest-signal resume keywords
C# DevelopmentCloud-Native ApplicationsMicrosoft AzureRESTful APIsAI-Assisted Development Tools
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
C#ASP.NET CoreMicrosoft AzureDistributed SystemsMicroservicesAzure FunctionsDevOps PracticesAutomated TestingSecure Coding PracticesSpecification-Driven Development
Soft Skills
Problem-SolvingCollaborationVerbal CommunicationWritten Communication
Tools & Technologies
Azure API ManagementGitHub CopilotOpenSpecAzure SQLApplication InsightsService BusAzure StorageAzure AI Services
Certifications & Qualifications
Bachelor's Degree in Computer ScienceSoftware EngineeringInformation Systems
Industry Keywords
Cloud ComputingMicroservices ArchitectureEvent-Driven IntegrationsAI Development Best PracticesHigh-Volume Transactional Systems
Tech Stack
Tools & technologiesASP.NETAzureCloudDistributed SystemsMicroservicesSQLVault.NET
About the role
Key responsibilities & impact- Design, develop, test, and maintain cloud-native applications and RESTful APIs using C#, .NET 8+, ASP.NET Core, and Microsoft Azure
- Build and enhance distributed systems, microservices, serverless solutions, and event-driven integrations
- Support adoption of OpenSpec and specification-driven development workflows across engineering teams
- Build, configure, and improve AI coding agents supporting software development activities
- Guide engineers in using AI-assisted development tools throughout the software development lifecycle
- Review and validate AI-generated code through automated testing, secure coding practices, and code reviews
- Design and maintain enterprise APIs and integrations using Azure API Management
- Provide technical guidance on MCP servers built over existing REST APIs and contribute to implementation when required
- Troubleshoot production issues and improve application observability, performance, and reliability
- Maintain technical documentation and contribute to knowledge-sharing discussions on AI development best practices
- Collaborate with cross-functional teams to align technical decisions with business requirements and architectural standards
- Participate in Agile ceremonies, technical discussions, and continuous improvement initiatives
Requirements
What you’ll need- Bachelor's Degree in Computer Science, Software Engineering, Information Systems, or a related field is desired, or equivalent professional experience
- 7+ years of professional experience in Software Engineering
- 5+ years of hands-on development experience with C# and .NET
- 4+ years of experience developing and supporting applications on Microsoft Azure
- Strong experience building cloud-native applications and RESTful APIs using .NET 8+ and ASP.NET Core
- Strong understanding of distributed systems, microservices, and enterprise integrations
- Hands-on experience with Azure Functions, App Services, Azure Storage, Service Bus, Azure SQL, Application Insights, Key Vault, and Azure API Management
- Practical experience using AI-assisted development tools such as GitHub Copilot, OpenSpec, or similar solutions
- Understanding of specification-driven development and AI coding tools within software engineering workflows
- Experience with Git-based version control, branching strategies, pull requests, automated testing, and DevOps practices
- Knowledge of authentication, authorization, application security, and secure development practices
- Strong problem-solving and collaboration skills
- Strong verbal and written English communication skills
- Hands-on experience with OpenSpec or similar platforms is nice to have
- Experience building coding agents and supporting AI-assisted engineering adoption is nice to have
- Knowledge of Model Context Protocol (MCP), agent orchestration frameworks, or multi-agent systems is nice to have
- Experience with Azure OpenAI, Azure AI Foundry, Azure AI Search, or other Azure AI Services is nice to have
- Experience with AI evaluation, testing, observability, and governance is nice to have
- Experience supporting high-volume transactional systems is nice to have
- Experience collaborating with distributed onshore, nearshore, and offshore teams is nice to have
Benefits
Comp & perks- Initial 6-month engagement
- Full-time role
