Full Stack Developer

The Role:

We are seeking a highly skilled Full Stack Developer with deep expertise in .NET, Python, and JavaScript. You will create proof‑of‑concept projects, some of which may evolve into production products. The ideal candidate will have strong experience developing and integrating microservices, working with relational and NoSQL databases, and building APIs. Familiarity with machine learning concepts and proof-of-concept (POC) microservices is a plus.

Responsibilities:

• Design, develop, and maintain scalable web applications and microservices using .NET and Node.js.
• Implement event‑driven flows using NATS, Redis, Websocket, SignalR, etc. for real‑time scenarios.
• Collaborate with data teams on machine learning services and POC integrations.
• Work with relational and NoSQL databases (MySQL, MongoDB) for data modeling, storage, and optimization.
• Implement ORM frameworks for efficient database operations.
• Ensure high performance, scalability, and security of all developed components.
• Participate in code reviews, testing, and deployment processes.
• Collaborate cross-functionally with designers, product managers, and QA teams to deliver high-quality solutions.
• Potentially and depending on the project writing automated unit/integration tests.

Requirements:

• High-level proficiency in .NET and Python development.
• Strong knowledge of JavaScript and modern frameworks for front-end. Blazor is a plus.
• Hands-on experience building and deploying microservices architectures.
• Experience designing and consuming RESTful APIs.
• Proficiency with databases: MySQL, MongoDB, and ORM frameworks.
• Familiarity with message brokering systems such as NATS or Khafka.
• Ability to write clean, scalable, and maintainable code following best practices.
• Strong problem-solving skills and ability to work in fast-paced, agile environment
• Excellent writing and communication skills in English.

Great-to-Have:

• Experience in Integrating third party APIs.
• Knowledge of Node.js microservices for machine learning POCs.
• Familiarity with containerization (Docker, Kubernetes).
• Experience with CI/CD pipelines and cloud deployment (AWS, Azure, or GCP).
• Understanding of software security best practices.
• Understanding of SOLID principles.
• Understanding of Clean architecture principles.
• Understanding of Microservices Event-Driven principles.