Job Summary

MongoDB Database Engineering

L3 Engineer  |  JD MDB-L3  |  Positions 3

Experience 10-17 years  |  HCL  Deutsche Bank account

HCL band 3.1 or 3.2 subject to discussion and final role mapping.

Role purpose

Own MongoDB platform engineering designs, complex remediation and reusable automation. Remain hands-on with replica-set/sharding reliability, upgrade implementation, query performance and recovery assurance.

Key Responsibilities

Key responsibilities

• Design replica-set and sharding patterns, shard-key choices and consistency settings against workload, availability and recovery requirements.

• Resolve difficult replication, election, oplog, query/index and WiredTiger resource problems through implemented, measured fixes.

• Engineer supported upgrade/migration paths (Zero downtime) with driver compatibility, feature compatibility version, data validation and recovery decision points.

` Cross Data-Center Disaster recovery  Activity .

` Security feature implementation using X509 authentication.

` Ops Manager

` Encryption at rest implementation.

• Build reusable Python/Shell automation with health gates, idempotency, controlled concurrency, error handling and Git-based testing.

• Design and execute failover and coordinated restore exercises, assess data integrity/recovery timing and close technical gaps.

• Review code/designs, mentor engineers and lead technical implementation with application, infrastructure and vendor teams.

Skill Requirements

Essential skills and experience

• 10-17 years of relevant experience with deep production MongoDB engineering and personally delivered platform designs.

• Strong replica-set elections, read/write concern, sharding/shard-key tradeoffs, indexing and query-plan expertise.

• Demonstrated upgrade/migration, capacity/performance and topology-appropriate recovery design and implementation.

• Advanced Python or Shell, supported MongoDB interfaces, Git and automated testing, with cross-layer troubleshooting evidence.

Tools and technology expertise

• Core platform: MongoDB, mongod, mongos, mongosh, replica sets, elections, oplog/replication lag, read concern and write concern.

• Performance and resilience: explain plans, indexes, MongoDB profiler, WiredTiger metrics, sharding/shard keys and coordinated backup/restore appropriate to the topology.

• Automation and utilities: Python or Bash/Shell, Git, supported MongoDB drivers, mongostat and mongotop. mongodump/mongorestore apply to suitable backup/test cases, not as a universal sharded-cluster backup strategy.

Preferred expertise

• MongoDB Ops Manager or Atlas where deployed; Ansible; Prometheus/Grafana; Jenkins or GitHub Actions.

Expected engineering outputs

• A validated MongoDB lifecycle/resilience design, implemented automation and a resolved complex platform problem.

Own testing, approved implementation and validation. Follow access/change controls and protect credentials and production data.

Other Requirements

NA