Meduzzen

About the Project

We are building a system that integrates multiple databases and external APIs, aggregates data from various sources, and constructs a real-time knowledge graph to track complex relationships between entities.

Key Requirement

‼️ Hands-on experience with graph databases (minimum 6 months) is mandatory.
We are specifically looking for candidates who have practical experience with graph data modeling and writing queries.

Tech Stack

Graph Databases, Neo4j, Python, FastAPI, SQL, NoSQL, Docker, Docker Compose.

Responsibilities

— Design, build, and maintain scalable data pipelines
— Develop and optimize graph-based data models (nodes, edges, properties)
— Build and maintain a real-time knowledge graph
— Integrate multiple data sources (APIs, SQL, NoSQL databases)
— Optimize graph queries and data processing performance
— Work with cloud infrastructure (AWS)
— Collaborate with backend and product teams to design data solutions
— Build proof-of-concept solutions involving graph technologies

Requirements

— 3+ years of experience as a Data Engineer / Backend Engineer (data-heavy projects)
— Hands-on experience with graph databases (Neo4j, ArangoDB, Amazon Neptune, etc.)
— Strong knowledge of SQL and NoSQL databases
— Experience building data pipelines and working with large datasets
— Good understanding of data modeling (especially graph structures)
— Experience with AWS or other cloud platforms
— Python proficiency
— English (from Upper-Inermediate)

Nice to Have

— Experience with knowledge graphs
— Experience with streaming or real-time data processing
— Background in Computer Science, Mathematics, or related field
— Experience with recommendation systems / analytics / fraud detection

Who will succeed in this role

Someone who enjoys working with complex data relationships, understands how to model real-world systems as graphs, and can bridge backend engineering with data engineering practices.

About the Project
We are building a system that integrates multiple databases and external APIs, aggregates information from various sources, and builds a real-time knowledge graph to track complex relationships between entities.

Key Requirement
‼️ Hands-on experience with graph databases (minimum 6 months) is mandatory.
We will only consider candidates with practical experience in data modeling and writing queries for graph databases.

Tech stack: Python, FastAPI, SQL, NoSQL, graph, Docker, Docker Compose.

Required Skills
— 3+ years of commercial experience as a Backend Python Developer
— Hands-on experience with graph-structured data (minimum 6 months)
— Strong knowledge of SQL and NoSQL databases
— Good understanding of AWS and cloud-based architectures
— Fluent English
— Degree in Computer Science, Mathematics, or related field

Responsibilities
— Design, develop, and maintain backend services in Python
— Build, optimize, and scale cloud-based graph databases
— Model complex relationships using graph data structures (nodes, edges, properties)
— Integrate graph databases with other data storage solutions (SQL / NoSQL)
— Design, plan, and implement proof-of-concept solutions involving graph technology
— Optimize and troubleshoot graph queries
— Provide best practice recommendations for graph database design and integration
— Collaborate with cross-functional teams and present technical solutions to stakeholders

We are looking for a Backend Python Engineer with DevOps experience (3+ years) to build and scale cloud-based applications and infrastructure in long-term projects. You will develop backend services while also contributing to infrastructure automation, deployment processes, and system reliability.

Responsibilities:

• Design, develop, and maintain backend services using Python;
• Build and support REST APIs and microservices;
• Work with cloud infrastructure (AWS / Azure) and containerized environments;
• Deploy and manage applications using Docker and Kubernetes;
• Build and maintain CI/CD pipelines for application delivery;
• Automate infrastructure and deployments using Terraform, Ansible, Bash/Python;
• Ensure system security, monitoring, scalability, and high availability;
• Collaborate with engineering teams to improve system performance and reliability.

Requirements:

• 3+ years of backend development experience with Python;
• Experience building APIs and backend services;
• Hands-on experience with Docker and Kubernetes;
• Experience with AWS and/or Azure;
• Solid Linux and networking fundamentals;
• Experience with CI/CD pipelines;
• Knowledge of Infrastructure as Code (Terraform preferred);
• Upper-Intermediate English or higher.

We offer:

• Competitive compensation;
• Fully remote work;
• Support for certifications and professional growth;
• Collaborative and growth-oriented team.