Design, develop, and deliver scalable SaaS applications using .NET, Angular, SQL Server/PostgreSQL, and AWS.
Own end-to-end delivery, from domain modeling and backend services to frontend implementation, testing, deployment, and production support.
Leverage AI-assisted development tools to generate production-ready code and accelerate engineering workflows.
Collaborate with Architects to define application architecture and validate technical approaches through proof-of-concepts (PoCs).
Design solutions using modern architectural patterns including Domain-Driven Design (DDD), CQRS, Event-Driven Architecture, Backend-for-Frontend (BFF), and API Gateway.
Develop modern Angular applications using standalone components, Signals, RxJS, and Reactive Forms.
Design efficient data models and optimize database performance for scalable applications.
Troubleshoot complex production issues, perform root cause analysis, and improve system reliability.
Mentor engineers through technical leadership, architecture discussions, code reviews, and knowledge sharing.
Promote engineering excellence through automation, AI-enabled workflows, and continuous improvement.
Mandatory Skills:
10+ years of professional software engineering experience.
Experience as a Principal Engineer, Lead Engineer, or equivalent technical leadership role.
Expert proficiency in C#, .NET, Entity Framework, Angular, and SQL Server/PostgreSQL.
Strong experience with DDD, CQRS, REST APIs, Event-Driven Architecture, and distributed systems.
Experience designing secure, scalable, multi-tenant SaaS applications.
Strong knowledge of SQL optimization, data modeling, Redis, and OpenSearch/Elasticsearch.
Experience with automated testing, CI/CD, Git, Agile methodologies, and modern DevOps practices.
Experience with observability and monitoring tools, as well as static analysis tools such as SonarQube and Mend.
Hands-on experience using GitHub Copilot, Cursor, Claude Code, or similar AI coding assistants.
Strong communication, mentoring, collaboration, and problem-solving skills.
Bachelor's degree in Computer Science, Engineering, or equivalent professional experience.
Advanced English communication skills.