Senior Software Engineer – MongoDB (Realm / App services)

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Remote (WFH)
Full-Time
Senior Software Engineer – MongoDB (Realm / App services)

View below the job description in addition to the application form.

Experience :

6-8 years

Apply Today

Job Description:

rSTAR is looking for a potential candidate to join our team as Senior Software Engineer – MongoDB.

  • 6-8 years of with different databases & with at least 2-3 years working with MongoDB, preferably Atlas.
  • Implement appropriate indexes for performance improvement.
  • Fine-tune configurations MongoDB and servers for performance improvement.
  • Identify slow queries.
  • Deeper knowledge on indexing, Clustering, Node management
  • Must have exp. on Realm/App services with Mongo, configure schema, rules, device sync, security etc.
  • Implement optimal backup and recovery.
  • Understand and optimize query performance.
  • Create and publish database health checks to monitoring systems for the Replication lags, Node failures, Index usage patterns, CPU usage, Memory usage, Locks, Number of connections, Any other relevant params.
  • Maintenance during release/outage etc.
  • Implementing best practices for backups, replication, and health checks.
  • Database hardening implement best practices.
  • Design and implement DR plans & HA solutions and recommendations.
  • Work closely with the application team to understand what changes are coming in a build/patch/hotfix, do an impact analysis, fine-tune the queries if any.
  • Automate the process of deploying DB changes so that we can support this for a new build/patch/hotfix.
  • Act as an application DB during the design process.
  • Installation and setup stand alone, multi node cluster and sharded cluster, resync replica set member, reconfigure existing replica set.
  • Version upgradation and patching.
  • User role and access management.
  • Query profiling, performance diagnostic, slow query identification and optimization, implementation data archiving and purging policy,
  • Experience with MongoDB Sharding and Data Modelling
  • Strong analytical and problem-solving skills
  • Passion for troubleshooting the toughest problems and propose creative solutions
Remote (WFH)
Full-Time
Senior Software Engineer – MongoDB (Realm / App services)

View below the job description in addition to the application form.

Experience :

6-8 years

Apply Today

Job Description:

rSTAR is looking for a potential candidate to join our team as Senior Software Engineer – MongoDB.

  • 6-8 years of with different databases & with at least 2-3 years working with MongoDB, preferably Atlas.
  • Implement appropriate indexes for performance improvement.
  • Fine-tune configurations MongoDB and servers for performance improvement.
  • Identify slow queries.
  • Deeper knowledge on indexing, Clustering, Node management
  • Must have exp. on Realm/App services with Mongo, configure schema, rules, device sync, security etc.
  • Implement optimal backup and recovery.
  • Understand and optimize query performance.
  • Create and publish database health checks to monitoring systems for the Replication lags, Node failures, Index usage patterns, CPU usage, Memory usage, Locks, Number of connections, Any other relevant params.
  • Maintenance during release/outage etc.
  • Implementing best practices for backups, replication, and health checks.
  • Database hardening implement best practices.
  • Design and implement DR plans & HA solutions and recommendations.
  • Work closely with the application team to understand what changes are coming in a build/patch/hotfix, do an impact analysis, fine-tune the queries if any.
  • Automate the process of deploying DB changes so that we can support this for a new build/patch/hotfix.
  • Act as an application DB during the design process.
  • Installation and setup stand alone, multi node cluster and sharded cluster, resync replica set member, reconfigure existing replica set.
  • Version upgradation and patching.
  • User role and access management.
  • Query profiling, performance diagnostic, slow query identification and optimization, implementation data archiving and purging policy,
  • Experience with MongoDB Sharding and Data Modelling
  • Strong analytical and problem-solving skills
  • Passion for troubleshooting the toughest problems and propose creative solutions