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