Original listing text, shown exactly as published by the company.
The Role
We're looking for a Senior Full Stack Developer to join our engineering team. You'll own the full product development lifecycle—from API design to UI implementation—working on features that serve our enterprise clients.
Purpose
- Design and develop complex, enterprise software solutions across our full technology stack (.NET backend, React frontend)
- Build APIs and integrations that connect multiple systems and deliver seamless experiences
- Own code quality through rigorous testing, code reviews, and thoughtful architectural decisions
- Solve complex problems by evaluating requirements, making technology recommendations, and delivering robust solutions
- Mentor and collaborate with junior developers and cross-functional teams to drive innovation
- Lead from the front on incident response and operational excellence, ensuring our platform runs reliably 24/7
- Embrace AI-assisted development using modern tools like Claude and GitHub Copilot to accelerate delivery and explore new possibilities
Core Responsibilities Across the SDLC
Requirements & Analysis: Collaborate with stakeholders to translate business requirements into technical specifications; evaluate feasibility and propose optimal technical approaches
Design & Architecture: Design scalable solutions with well-defined APIs; create technical documentation; make informed technology choices; review designs with peers for consistency
Development & Implementation: Write clean, production-ready code in C# and React; implement proper error handling and observability; leverage AI coding assistants for productivity
Testing & Quality Assurance: Write comprehensive unit and integration tests (85%+ coverage); conduct peer code reviews; identify edge cases and support QA on bug resolution
Deployment & Release: Participate in release planning; ensure smooth deployments to staging and production; contribute to runbooks; follow security best practices
Operations & Support: Monitor application health; respond to production incidents and perform root cause analysis; identify and address performance bottlenecks; maintain disaster recovery procedures
Continuous Improvement: Identify and resolve technical debt; propose system improvements; mentor junior developers; stay current with emerging technologies
What We're Looking For
Required Experience
- 4-6 years of professional software development experience
- Backend: Strong proficiency with C#, .NET 6+, .NET Core, ASP.NET MVC/Web API, and Entity Framework
- Frontend: Solid experience building production React applications with JavaScript, Redux, Hooks, and React Context API
- Experience with REST and SOAP APIs, Web Services design, and database architecture (both SQL and NoSQL)
- Hands-on experience with automated testing frameworks (xUnit, nUnit, Jest, Moq, nSubstitute)
- Proficiency with Git/GitHub and modern version control workflows
- Comfortable in Agile/Scrum environments
- Bachelor's degree in Computer Science, Engineering, Mathematics, or equivalent professional experience
- Strong fundamentals in object-oriented design patterns and clean code principles (SOLID, design patterns)
- End-to-end understanding of the full SDLC—from requirements through operations
- Problem-solving mindset—you identify root causes and prevent recurrence, not just fix symptoms
- Quality-first approach—you believe in rigorous testing, code reviews, and thoughtful design
- Attention to detail—you catch edge cases, security issues, and performance concerns before production
AI & Modern Development Skills
- Experience leveraging AI coding assistants (GitHub Copilot, Claude Code, ChatGPT) to improve productivity and code quality
- Ability to effectively prompt and validate AI-generated code
- Understanding of AI capabilities and limitations in software development
- Comfortable experimenting with AI-powered tools for code generation, documentation, testing, and debugging
- Knowledge of secure coding practices when using AI tools (no secrets in prompts, code review remains mandatory)
- Ability to use AI for code analysis and identifying potential bugs or improvements
Nice to Have
- Experience with microservices and serverless architectures
- Knowledge of system monitoring tools (New Relic, CloudWatch, DataDog, Application Insights)
- Familiarity with API management platforms (Swagger, API Gateway, APIGee)
- AWS experience (Lambda, EC2, RDS, S3, SNS/SQS)
- Understanding of Domain-Driven Design (DDD) or CQRS (Command Query Responsibility Segregation) principles
- Background in the automotive industry
- Experience with containerization (Docker, Kubernetes)
- Knowledge of CI/CD pipelines and infrastructure automation (GitHub Actions, Azure DevOps)
- Experience with AI-powered code analysis tools (SonarQube, GitHub Code Scanning, Copilot for analyzing code quality)
- Understanding of ML/AI integration in applications and AI API consumption
- Experience with performance optimization and profiling tools
- Familiarity with security scanning tools and threat modeling (OWASP)
- Knowledge of database optimization and query performance tuning
- Experience with distributed systems debugging and troubleshooting
- Strong communication skills—you explain technical decisions clearly to engineers and non-technical stakeholders
- Ownership mindset—you take pride in what you ship and support it in production
- Collaborative spirit—you work well with teams and help others improve…
