## Job highlights
- 5-11 years experience with Neo4j graph databases, Microsoft Azure, Python/Go/Java, Docker, Kubernetes, Terraform or Bicep
- Build and maintain middleware/API layers, manage cloud and self-hosted graph DB clusters, implement multi-tenant security, automate scripts and backups, optimize queries, monitor system health, and document best practices Role: Senior Patform Engineer/Tech Lead

Location:
Pune (Must be willing to work From Pune)

Experience:
5-11 Years Must Have

Skills:
Graph Database Neo4j, Microsoft Azure, Python or Go or Java for programming and scripting, Docker, Kubernetes, Terraform or Bicep Detailed JD: Essential Responsibilities and Duties:
- Builds and deploys a robust middleware/API abstraction layer that hides database-specific topologies (cloud-managed vs. self-managed) from downstream internal consumer teams.
- Provisions, configures, and operates both cloud-managed graph services (via Azure Marketplace) and self-managed graph database clusters on Azure infrastructure.
- Implements multi-tenant access controls, database isolation, and security boundaries to securely partition data domains for separate internal adopting teams.
- Writes automation scripts, data loading utilities, and backup/restore routines across graph database environments.
• Collaborates with internal teams to understand consumption patterns, troubleshoot performance bottlenecks, and optimize traversal and Cypher queries.
- Maintains and improves services once live by measuring availability, latency, connection pooling efficiency, and overall system health.
- Develops, implements,



and documents best-practice policies, connection SDKs, and developer guides for new projects or onboarding initiatives.
- Engages in incident resolution, performance tuning of JVM memory settings (heap/page cache), and proactive system monitoring.
- Maintains a broad knowledge of state-of-the-art graph technologies, evaluating and benchmarking best-possible database options alongside Neo4j. Technology:
- Graph Databases: Neo4j (Enterprise, Cypher, Causal Clustering) and exploration of alternative graph options.
- Cloud Infrastructure: Microsoft Azure (Azure Marketplace, AKS, Azure VMs, Managed Disks, Key Vault, VNet peering).
- Programming & Scripting: Python, Go, or Java for middleware and API development.
- Infrastructure as Code (IaC): Terraform or Bicep.
• Containerization: Docker, Kubernetes. Previous Experience and Competencies:
- Bachelors or Masters degree in IT, Computer Science, or related discipline.
- Strong computer literacy with deep, hands-on implementation experience in distributed data platforms and graph databases.
- 5 – 10 years of seniority (hands-on execution focused rather than purely architectural). Preferred

Qualifications:

- Robust background in backend software engineering and API/middleware design.
- Extensive practical experience managing both cloud-managed DBaaS and self-hosted database deployments on Azure.
- Systematic problem-solving approach, coupled with strong communication skills and a sense of ownership and drive.
- Ability to debug, profile, and optimize slow-running queries and handle high-concurrency connection management.

📌 Platform Engineer (Pune)
🏢 Wipro
📍 Pune