Database Engineer (Graph SRE)

Responsibilities

    Support developers in designing and handling graph schemas (vertices, edges, loading jobs);
    Install and configure TigerGraph clusters;     Optimize data loading pipelines (batch & streaming);     Monitor data skew and partition balance across cluster nodes;     Create and handle users, roles, and privileges using TigerGraph’s RBAC model;     Audit query activity and ensure compliance with data governance policies;     Monitor query performance, memory usage, disk I/O, analyze GSQL query plans and optimize long-running traversals;     Validate HA setup and ensure zero data loss within recovery objectives;     Apply TigerGraph version upgrades and security patches safely;     Handle node recovery, rebalancing, and partition reallocation;     Collaborate with data engineers and platform teams for architecture and scaling;     Handle day-to-day operations and issues provide the detailed RCA for outages;     Ability to thrive in a fast-paced, tight deadline delivery timeline;     Participate in new technology/extension/feature evaluation, design, and development of highly scalable distributed databases;     Position require 12x7 on-call support rotation with other team members.

Minimum Qualifications

    8+ years working experience;
    Proficiency in at least one programming language (Python, Java, or JavaScript) for data integration and application development;     Experience with graph database platforms such as TigerGraph, Neo4j, Amazon Neptune, JanusGraph, or ArangoDB;     Solid grasp of data modeling concepts, graph theory basics, and relationship driven architectures;     Familiarity with ETL processes, API integrations, or data ingestion frameworks;     Knowledge of cloud services (AWS, Azure, GCP) and handled graph database offerings;     Understanding of RDF, SPARQL, or semantic web technologies;     Exposure to big data ecosystems (Spark, Kafka) for graph data processing;     Experience with version control systems (Git) and CI/CD workflows;     Ability to handle the databases deployed in Cloud Infrastructure including AWS/GCP and Kubernetes.

Preferred Qualifications

    BE/B.Tech or ME/M.Tech in Computer Science, Information Systems, or related field practical experience;
    8+ years of hands-on database engineering experience, with at least 5 years working directly with graph databases;     Strong proficiency in at least one graph query language: such as Cypher, Gremlin, GSQL;     Certified Kubernetes Administrator (CKA);     AWS Certified Solutions Architect - Associate;     Python and Shell/bash knowledge.