Neo4j Engineer - Microservices Architecture

Forward Eye Technologies

Dadri

On-site

INR 4,000,000 - 7,000,000

Full time

7 days ago
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Job summary

Forward Eye Technologies is seeking an experienced Neo4j Engineer to design, develop, and deploy graph-based applications. You will build graph models, containerized microservices, and cloud-native solutions, leveraging Java, Python, Docker, Kubernetes, and AWS to ensure scalable performance.

The role emphasizes performance optimization, secure architectures, and collaboration with data scientists and engineers to align data models with application needs.

Qualifications

  • 10+ years in software engineering with a focus on Neo4j and graph databases.
  • Proficient in Java and Python for cloud-native apps.
  • Strong experience with Docker, Kubernetes, and AWS deployment.

Responsibilities

  • Design, develop, and deploy applications using Neo4j as the primary backend.
  • Build and optimize graph models for efficient querying.
  • Develop containerized microservices using Java, Docker, and Kubernetes.
  • Deploy and manage cloud-native apps on AWS (EC2, ECS, RDS, etc.).
  • Optimize Neo4j queries and configurations for large-scale environments.
  • Collaborate with data scientists and engineers to align data models.
  • Monitor and improve performance and data integrity across environments.

Skills

Neo4j & graph databases
Java programming
Python programming
Docker
Kubernetes
AWS
Performance optimization
Data modeling

Tools

Docker
Kubernetes
AWS

Job description

We are seeking an experienced Neo4j Engineer with deep expertise in graph databases to join our team. The ideal candidate will design, develop, and deploy applications using Neo4j as the primary backend, while also working on the architecture of large-scale data environments. This role involves working with containerized microservices, leveraging AWS, and optimizing performance to deliver robust and scalable solutions.

Key Responsibilities :
  • Neo4j Application Development
  • Design and develop applications that utilize Neo4j as the primary backend database.
  • Build and optimize graph database models for efficient querying and data representation.
  • Microservices Architecture
  • Develop and deploy containerized microservices using Java, Docker, and Kubernetes to enhance scalability and maintainability.
  • Contribute to the development of cloud-native applications with a focus on Python and Java.
  • AWS Deployment and Management
  • Utilize AWS services (e.g., EC2, ECS) to manage and deploy applications in the cloud, ensuring high availability and performance.
  • Implement best practices for secure, scalable, and resilient cloud environments.
  • Performance Optimization and Troubleshooting
  • Optimize Neo4j queries and configurations for handling large-scale data environments, ensuring efficiency and speed.
  • Monitor and troubleshoot Neo4j databases, performing migrations and ensuring data integrity across environments.
  • Data Architecture and Modeling
  • Contribute to the architecture and design of graph data models to support application needs.
  • Stay updated on best practices, tools, and advancements in graph database technology.
  • Cross-functional Collaboration
  • Collaborate with data scientists, engineers, and stakeholders to align Neo4j data models with application requirements.
Required Skills and Experience :
  • 10+ years of experience in software engineering, with a strong focus on Neo4j and graph databases.
  • Expertise in Neo4j database design, data modeling, and graph querying.
  • Proficient in Java and Python programming for developing cloud-native applications.
  • Strong experience with containerization tools like Docker and orchestration platforms like Kubernetes.
  • Experience deploying and managing applications on AWS (EC2, ECS, RDS, etc.).
  • Demonstrated ability to optimize and troubleshoot Neo4j databases in large-scale environments.
Preferred Qualifications :
  • Neo4j Certification is highly desirable.
  • Familiarity with CI/CD processes, automation tools, and DevOps best practices.
  • Knowledge of additional cloud platforms like GCP or Azure.

Location-Delhi NCR,Bangalore,Chennai,Pune,Kolkata,Ahmedabad,Mumbai,Hyderabad

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