Lead Engineer

Role overview
As a Lead Software Engineer at Huron, you will be involved in the full lifecycle of application development —
creating, coding, debugging, optimizing, and maintaining both front-end and back-end components, as well as
providing solutions to data integration challenges. You will draw on extensive experience building enterprise
web applications across JavaScript, React, PostgreSQL, DynamoDB, SQL Server, and AWS, while setting the
technical direction for your team, mentoring developers through code reviews, and enforcing development
standards that uphold quality across onshore and offshore members.
Primary responsibilities
Technical leadership and architecture
 Lead the design and development of full-stack enterprise software products, owning
technical decisions across front-end, back-end, and data integration layers.
 Drive architecture for microservices and web services, ensuring scalability, performance,
observability, and maintainability across production systems.
 Establish and enforce development standards, coding conventions, and peer review
norms; conduct code reviews to elevate quality across the team.
 Interact with key stakeholders from Product Management, Implementation, and Support
teams to translate business requirements into sound technical solutions.

AI-assisted and agentic development
 AI-assisted development: Leverage GitHub Copilot, Claude Code, and comparable
agentic coding assistants across design, code authoring, review, test generation, and
documentation to increase quality and velocity.
 AI agent development: Design, build, and maintain AI agents and multi-agent workflows;
define agent instructions, skills, memory, and tool integrations for production-grade
agentic systems.
 Apply Model Context Protocol (MCP) or equivalent patterns to connect AI models to
internal tools, APIs, and data sources; stay current with the agentic AI landscape.

Delivery, quality, and collaboration
 Apply software engineering best practices across the full development lifecycle, including
unit testing, integration testing, and automated test coverage.
 Troubleshoot deployment and resolve environmental issues in a timely manner across
multiple concurrent projects.
 Mentor engineers through pair programming, code reviews, and knowledge sharing; foster
a culture of continuous improvement in a globally distributed Agile team.
 Develop in-depth knowledge of Huron's business processes and product capabilities to
provide well-grounded technical recommendations.

Required qualifications
Core
 Bachelor’s degree in computer science or related discipline, or equivalent professional
experience.
 8+ years of professional software development experience building multi-tier, scalable,
enterprise-level products.
 3+ years in a lead engineering role managing both onshore and offshore team members.
Lead Software Engineer
Job Description | Technology | Higher Education

 5+ years developing applications using .NET Core, React/JS, PostgreSQL, and AWS and
related technologies.
 Proficiency in JavaScript and JavaScript frameworks; familiarity with Git-based version
control and branching strategies.
 Experience with Agile methodologies (Scrum or Kanban) and a strong focus on
automation and continuous delivery.
 Demonstrated experience with performance engineering, scalability design, and
observability practices (logging, metrics, distributed tracing) in production systems.

Cloud and data
 Hands-on experience with AWS services including Lambda, ECS, Aurora, RDS, API
Gateway, DynamoDB, and CloudWatch.
 Experience designing and developing microservices and web services; familiarity with
SQL Server, PostgreSQL, and DynamoDB.
 Ability to adapt quickly to new and changing technical environments; strong analytical
and problem-solving skills.
AI and agentic development tools
 Practical experience using AI coding assistants (GitHub Copilot, Claude Code, or Cursor)
to write, refactor, and review production code.
 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 (Anthropic API,
OpenAI API, LangChain, Semantic Kernel, or similar) is a strong plus.

Preferred qualifications
 HTML5, CSS, TypeScript with Next.js; containerization and orchestration with Docker and
Kubernetes.
 TDD/BDD methodologies; CI/CD pipeline ownership; AI observability tooling for
production agentic systems.
 Experience with higher education technology platforms (ERP, CRM, student information
systems).