Keyloop bridges the gap between dealers, manufacturers, technology suppliers and car buyers.
We empower car dealers and manufacturers to fully embrace digital transformation. How? By creating innovative technology that makes selling cars better for our customers, and buying and owning cars better for theirs.
We use cutting-edge technology to link our clients’ systems, departments and sites. We provide an open technology platform that’s shaping the industry for the future. We use data to help clients become more efficient, increase profitability and give more customers an amazing experience. Want to be part of it?
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
Growth mindset—you stay current with new technologies, tools, and industry trends
Curiosity about AI—you're interested in exploring how AI can improve development workflows
