Senior Database Engineer

2 - 5 years

5 - 8 Lacs

Posted:9 hours ago| Platform: Foundit logo

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Skills Required

Work Mode

On-site

Job Type

Full Time

Job Description

Senior Database Engineer

Requirements

  • Hands-on experience on NoSQL/SQL databases, with significant time as a

    DBA on MongoDB

    .
  • Experienced in

    hosting, maintaining, and owning large MongoDB clusters on the cloud

    .
  • Experience in

    scripting language and tools like Ansible and Terraform

    .
  • Great in

    debugging skills

    ; should be able to look at related metrics, narrow down possible causes of the problem, dive deep/reproduce those issues, and communicate with the application team to bring them to closure.
  • Bonus

    if experienced in managing

    ScyllaDB clusters

    or

    AWS ElastiCache

    .
  • Bonus

    if experience in one or more of the

    Time Series Databases

    like InfluxDB, Prometheus, Victoria Metrics.

Roles and Responsibilities

Engineering Excellence

  • Constantly thrive to explore

    optimizations in database configurations, infrastructure, cost, new features, and performance improvements

    .
  • Identify parts of the system that do not scale/are non-reliable, provide immediate measures, and drive

    long-term resolution

    of such cases.
  • Owning the reliability and availability of MongoDB and ScyllaDB infra in the cloud

    Servers (EC2 Instances), storage etc.
  • Influence developers to adopt the right standards and practices which lead to

    ease of operations, higher reliability, and cost efficiency

    .
  • Build

    Self-healing capabilities

    for the databases.

Operational Excellence

  • Enhancing the scalability and performance of existing database architecture

    adding and removing shards regularly.
  • Performing

    database maintenance, migration, and upgrading hardware and software

    .
  • Monitor the

    overall health parameters of the clusters

    like CPU Utilisation, Memory utilization, Operation Execution times, Replication lag, and load balancing of data and queries, and identify the stress areas.
  • Conducting

    diagnostic tests, evaluating performance metrics, and ensuring high availability or uptime of database services

    .
  • Documenting processes

    and complying with best practices in database management.

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