Senior Software Engineer

Advanced Drainage Systems•Hilliard, OH

18d•Onsite

About The Position

Advanced Drainage Systems is seeking a Senior Software Engineer to design, build, modernize, and operate reliable, scalable full-stack applications using C#/.NET on the backend and TypeScript/React on the frontend. The role combines strong software engineering fundamentals with AI-native development practices, using AI agents to accelerate implementation while maintaining ownership of architecture, design decisions, and production quality. The engineer will own complex projects end-to-end, contribute to enterprise integrations and Azure deployments, raise engineering standards, and mentor colleagues in software fundamentals and effective AI-assisted development. The position also involves developing the team's AI-native tooling, applying context engineering and multi-agent workflows, and ensuring applications are secure, performant, and scalable. Advanced Drainage Systems is a manufacturer of stormwater and onsite septic wastewater solutions with a focus on sustainability and innovation. The company reports a global network of approximately 70 manufacturing plants and 40 distribution centers and recycles over half a billion pounds of plastic annually.

Requirements

Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
At least 5 years of professional software development experience, including senior-level ownership of projects end-to-end.
Strong proficiency in C# and .NET, including ASP.NET Core, Clean Architecture, Entity Framework Core, and dependency injection.
Strong proficiency in TypeScript and React, including Redux Toolkit and modern build tooling such as Vite.
Hands-on experience with AI-native software development, including custom instructions, prompt files, custom agents, Agent Skills, multi-agent workflows, and context engineering.
Experience with cloud services, particularly Microsoft Azure services such as App Service, Entra ID, Key Vault, and Application Insights.
Knowledge of database management systems, particularly SQL Server.
Understanding of RESTful API design and enterprise integration patterns.
Familiarity with DevOps practices and tools, including GitHub Actions and CI/CD pipelines.
Proficiency with version control systems, particularly Git and GitHub.
Experience with automated testing frameworks such as xUnit, Jest, or Playwright.
Strong problem-solving, communication, and collaboration skills.

Nice To Haves

Experience extending AI tooling by building custom agents, Agent Skills, or Model Context Protocol (MCP) integrations used by other engineers.
Experience with spec-driven development, authoring clear, testable specifications that guide AI agents through implementation, verification, and iteration.
Experience modernizing applications, including re-platforming and incrementally moving legacy applications to current .NET, cloud, and Clean Architecture standards.
DevSecOps experience embedding automation, quality, and security throughout delivery, including CI/CD pipelines, infrastructure-as-code, automated testing, and blue-green or canary release strategies.
Experience in manufacturing and/or supply chain domains.

Responsibilities

Design, develop, and maintain applications using C#/.NET on the backend and TypeScript/React on the frontend.
Integrate applications with enterprise and external systems, including Oracle and MuleSoft, using RESTful APIs.
Direct AI coding agents to implement, test, and refactor features while owning design decisions and the quality of delivered software.
Build and maintain AI-native team tooling, including custom instructions, prompt files, custom agents, and Agent Skills.
Apply context engineering and multi-agent workflows to provide context and guardrails for reliable, production-ready code.
Review AI-generated and human-written code for correctness, security, performance, and architectural integrity.
Implement and manage CI/CD pipelines using GitHub Actions and deploy applications to Microsoft Azure.
Ensure web applications are secure, performant, and scalable across the stack.
Participate in and lead code reviews, providing constructive feedback.
Mentor engineers in software fundamentals and AI-native practices, and keep current with new tools and practices.
Collaborate with product managers, designers, and business partners to align technical solutions with user needs.
Explain complex technical concepts to technical and non-technical audiences and contribute to continuous improvement.