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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading the design and development of enterprise software products, with a strong focus on AI agents, RESTful API design, and cloud-native development on platforms like Azure and AWS. Proficient in mentoring teams, implementing coding standards, and ensuring engineering quality in a collaborative Agile environment.
Highest-signal resume keywords
C# (.NET) DevelopmentAI Agent Design and EvaluationRESTful API DesignCloud-Native Development on Azure or AWSAgile/Scrum Methodology
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data StructuresAlgorithmsSystem DesignDistributed ComputingNUnit/xUnit TestingRelational Database OptimizationMicroservices DevelopmentUnit and Integration TestingPerformance EngineeringObservability Practices
Soft Skills
MentoringCollaborationTechnical Decision-MakingEffective CommunicationProblem-Solving
Tools & Technologies
GitHub CopilotClaude CodeAzure DevOpsPostgreSQLMySQLSQL ServerDockerKubernetesOpenAPIAWS Services
Certifications & Qualifications
Bachelor’s in Computer Science or Related Field
Industry Keywords
Enterprise SoftwareHigher EducationAgile DevelopmentAI Observability ToolingCloud-Native Development
Tech Stack
Tools & technologiesAWSAzureCloudDockerJavaScriptKubernetesMicroservicesMySQLNext.jsPostgresReactSQLTypeScript.NET
About the role
Key responsibilities & impact- Lead the design, development, and delivery of enterprise software products built on the Huron platform
- Lead design reviews and drive technical decisions on scalability, reliability, and maintainability
- Translate product requirements into clean, well-tested implementations
- Author architecture decision records and developer documentation
- Define and govern engineering quality standards, coding conventions, and peer review norms
- Leverage GitHub Copilot, Claude Code, and comparable agentic coding assistants across code authoring, review, test generation, and documentation
- Design, build, and maintain AI agents and multi-agent workflows
- Define agent instructions, skills, memory, and tool integrations; evaluate agent behavior in production
- Apply Model Context Protocol or equivalent patterns to connect AI models to internal tools, APIs, and data sources
- Stay current with the agentic AI landscape and bring forward-looking proposals to the engineering team
- Build client-side and server-side code using modern frameworks
- Design RESTful APIs using the OpenAPI standard
- Develop microservices on Azure or AWS
- Write and execute unit and integration tests
- Troubleshoot deployment and environment issues across multiple projects
- Mentor engineers, lead code reviews, and contribute to sprint ceremonies in a globally distributed Agile team
- Partner closely with Product, Implementation, and Support teams within Huron's Higher Education practice
Requirements
What you’ll need- Bachelor’s in computer science or related field (or equivalent experience)
- 6+ years of progressive software development experience on a commercial product
- Strong CS fundamentals: data structures, algorithms, system design, and distributed computing
- Production-quality C# (.NET)
- React or comparable front-end framework
- NUnit/xUnit testing
- Git/Azure DevOps source control
- Relational database experience (PostgreSQL, MySQL, SQL Server) with query optimization
- RESTful API design
- Agile/Scrum methodology
- Demonstrated experience with performance engineering, scalability design, and observability practices (logging, metrics, distributed tracing) in production systems
- Hands-on experience with AWS services including Lambda, ECS, RDS, API Gateway, CloudWatch, and related cloud-native tooling
- Hands-on use of GitHub Copilot, Claude Code, or Cursor to write, refactor, and review production code
- Ability to craft effective prompts and system instructions
- Solid understanding of AI agents, skills, and tool-calling
- Ability to configure and evaluate agentic workflows for multi-step development tasks
- Working knowledge of an LLM API or agent orchestration framework is a strong plus
- Preferred: HTML5, CSS, JavaScript/TypeScript with React or Next.js; cloud-native development on Azure or AWS; Docker and Kubernetes
- Preferred: TDD/BDD methodologies; AI observability tooling; familiarity with the Microsoft development ecosystem