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
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
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
Why join us?
We’re on a journey to become market leaders in our space – and with that comes some incredible opportunities. Collaborate and learn from industry experts from all over the globe. Work with game-changing products and services. Get the training and support you need to try new things, adapt to quick changes and explore different paths. Join Keyloop and progress your career, your way.
An inclusive environment to thrive
We’re committed to fostering an inclusive work environment. One that respects all dimensions of diversity. We promote an inclusive culture within our business, and we celebrate different employees and lifestyles – not just on key days, but every day.
Be rewarded for your efforts
We believe people should be paid based on their performance so our pay and benefits reflect this and are designed to attract the very best talent. We encourage everyone in our organisation to explore opportunities which enable them to grow their career through investment in their development but equally by working in a culture which fosters support and unbridled collaboration.
Keyloop doesn’t require academic qualifications for this position. We select based on experience and potential, not credentials.
We are also an equal opportunity employer committed to building a diverse and inclusive workforce. We value diversity and encourage candidates of all backgrounds to apply.
"At Keyloop, AI is a daily ally: We encourage and train every employee to use our AI tools to boost their creativity and productivity."