Neo4j Engineer - Microservices Architecture

Forward Eye Technologies

Pune District

On-site

INR 3,500,000 - 5,500,000

Full time

7 days ago
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Job summary

Forward Eye Technologies seeks an experienced Neo4j Engineer to design, develop, and deploy applications using Neo4j as the primary backend. You will work on graph database models, containerized microservices, and cloud-native architectures with AWS.

The role requires 10+ years in software engineering with Neo4j expertise, strong Java and Python skills, and experience with Docker/Kubernetes and AWS. You will optimize queries for large-scale data and collaborate with data scientists and engineers.

Qualifications

  • 10+ years of software engineering experience with Neo4j and graph databases.
  • Proficient in Java and Python for cloud-native applications.
  • Strong experience with containerization (Docker) and orchestration (Kubernetes).
  • Experience deploying and managing applications on AWS (EC2, ECS, RDS).
  • Able to optimize Neo4j queries in large-scale environments.

Responsibilities

  • Neo4j application development and graph data modeling.
  • Design, develop, and deploy graph-based backends.
  • Build containerized microservices with Java, Docker, and Kubernetes.
  • Leverage AWS for cloud deployment and scalability.
  • Monitor, optimize, and troubleshoot Neo4j databases.

Skills

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

Tools

Docker
Kubernetes
AWS

Job description

Job Summary : 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.
  • - 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.
  • - 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.
  • - 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.
  • - 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.
  • - 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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