Track Lead (Support & Operations)

Job description

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 Apply now Information at a Glance Why HCLTech? At HCLTech, you'll supercharge your potential. You'll find your career. And you'll find your spark. All at a place that knows that helping its customers stay on top starts by putting its people first. HCLTech is a global technology company, home to more than 230,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending September 2026 totaled $14.8 billion. • Disclaimer • Privacy Statement • Terms of use • Sitemap • Raise a Grievance • We use cookies on our site. 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