Lead Software Engineer - .NET, React Fullstack

Job responsibilities

• Designs, develop, test, and deploy scalable full-stack applications using .NET and React
• Builds and maintain RESTful APIs and backend services using C# and ASP.NET Core
• Develops responsive, user-friendly front-end interfaces using React, TypeScript, HTML, and CSS
• Implements cloud-native solutions on AWS (compute, storage, networking, monitoring, security)
• Automates infrastructure provisioning and environment management using Terraform. Troubleshoots and resolve production issues across application and cloud infrastructure layers
• Writes secure, clean, maintainable, and well-documented production code. Contributes to architecture, design reviews, and technical decision-making
• Collaborates with cross-functional teams (product, QA, DevOps, security) in agile sprints
• Supports CI/CD pipelines and improve release reliability, performance, and resiliency
• Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Hands-on experience in full-stack application development and system design
• Strong proficiency in C#, .NET, and ASP.NET Core
• Strong front-end experience with React (with TypeScript). Practical experience with AWS services and cloud deployment patterns
• Hands-on Terraform experience for Infrastructure as Code. Experience with relational and/or NoSQL databases and query optimization
• Strong debugging, testing, and performance tuning skills
• Understanding of SDLC, secure coding, and agile development practices
• Familiarity with CI/CD, application resiliency, and observability best practices
• Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices

Preferred qualifications, capabilities, and skills

• Experience with containerization and orchestration (Docker, Kubernetes, ECS/EKS)
• Knowledge of microservices and event-driven architecture
• Familiarity with automated testing frameworks and test strategy
• Experience with monitoring/logging tools (CloudWatch, ELK, Datadog, etc.). Exposure to enterprise-scale distributed systems