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
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