Lead System Engineer

2 days ago

Bengaluru, Karnataka, India EPAM Systems Full time

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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