Full Stack Engineer

Key Responsibilities
• Design and develop full-stack applications using modern web technologies.
• Architect and implement event-driven systems using tools like Kafka, RabbitMQ etc..
• Work with knowledge graphs (Neo4j) to build intelligent, interconnected data models.
• Build scalable microservices and design real-time data pipelines.
• Develop and integrate RESTful APIs, GraphQL, and WebSockets for efficient data exchange.
• Utilize AI-powered automation, predictive analytics, and machine learning APIs where applicable.

• Ensure applications are highly secure, scalable, and optimized for cloud environments.
• Implement CI/CD pipelines, DevSecOps practices, and Infrastructure as Code (IaC) for seamless deployment.
• Collaborate closely with product managers, software architects, and cross-functional teams to align technical solutions with business goals.
• Stay up to date with emerging technologies and continuously innovate to improve our tech stack.
Required Skills & Experience
• Frontend: Expertise in React, or Vue.js with TypeScript.
• Backend: Proficiency in Node.js, Python (FastAPI/Django), Go, or .NET Core.
• Event-Based Systems: Experience with Kafka, RabbitMQ, or similar event streaming platforms.
• Knowledge Graphs & Data Modeling: Familiarity with Neo4j or RDF/SPARQL.
• Database: Experience with SQL (PostgreSQL, Microsoft SQL Server) and NoSQL (MongoDB).
• Cloud & DevOps: Hands-on experience with AWS, Azure, or Google Cloud and containerization using Docker & Kubernetes.
• Security & Performance: Knowledge of OAuth, JWT, OWASP security principles, and performance optimization techniques.
• Collaboration & Agile Development: Experience working with product managers, software architects, and cross-functional teams in an Agile environment.
• Version Control & CI/CD: Proficiency in Git, GitHub, GitLab CI/CD, and Agile development methodologies.
• Strong problem-solving skills and ability to design scalable, efficient, and maintainable systems.

Preferred Qualifications
• Experience working with ERP, Aviation, Logistics, or HR tech solutions.
• Knowledge of serverless architectures and distributed systems.
• Exposure to edge computing, IoT integrations, and AI-powered automation.
• Passion for open-source contributions and tech community involvement