Platform Engineer

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:

• Strong 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.