Lead System Engineer - Mongo DBA

Office in India: Hyderabad,

DBA & Cloud Migration

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We are seeking an experienced and talented Lead System Engineer specializing in MongoDB Database Administration to join our dynamic team. The ideal candidate will play a pivotal role in ensuring the performance, scalability, reliability, and efficiency of our database environments while leading complex projects and mentoring team members.

Responsibilities

Act as a database expert to ensure resilient, scalable, and high-performance MongoDB environments
Lead complex database operations, migrations, performance tuning, and architectural improvements
Provide technical leadership, mentoring, and contribute to process and automation enhancements
Collaborate with architects and engineering teams on database design and optimization strategies
Architect, implement, and manage large-scale MongoDB deployments, including replica sets and sharded clusters
Drive performance tuning, query optimization, indexing strategies, and workload analysis
Lead backup/restore strategy design, DR planning, PITR, and high availability configurations
Support major upgrade activities, schema design improvements, version migrations, and cloud migrations
Troubleshoot complex issues related to locking, replication lag, sharding balancer, and storage performance
Implement monitoring, alerting, and automation to improve operational efficiency
Provide mentoring and support to L1/L2 DBAs and contribute to best practices and documentation
Collaborate with development and DevOps teams on data modeling, release management, and integration

Requirements

9+ years of IT experience
5+ years of hands-on experience as a MongoDB DBA managing large and critical production environments
1+ years of leadership experience in relevant roles
Deep understanding of MongoDB internals, including replication internals, sharding architecture, chunk migration, balancer tuning, and the WiredTiger storage engine
Expertise in performance tuning, analyzing execution plans, and optimizing queries and indexes
Hands-on experience with replica set and sharded cluster problem diagnosis and resolution
Solid knowledge of Linux, scripting (Shell/Python), and automation frameworks
Proficiency in monitoring and observability tools for MongoDB
Basic familiarity with at least one additional RDBMS such as Oracle, MS SQL, PostgreSQL, or MySQL
English language proficiency at an Upper-Intermediate level (B2) or higher

Nice to have

Strong experience with GCP, AWS, or Azure cloud database services
Hands-on experience with MongoDB Atlas, multi-cloud clusters, encryption-at-rest, and security controls
Exposure to Kafka, microservices, and high-volume data streaming workloads
Capability to develop internal tooling or automation for database deployment and monitoring
Knowledge of Infrastructure-as-Code tools like Terraform or Ansible

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