Description

Role Overview:

This is a hands-on database engineering role for a Sr MongoDB Performance Engineer, focused on owning the throughput, latency, scalability, and operational reliability of the MongoDB landscape. The engineer is accountable for making MongoDB fast, predictable, and cost-efficient at scale, rather than an application-developer role.

Key Responsibilities:

• Profile and optimize slow queries and aggregation pipelines using explain plans, the database profiler, and log analysis.
• Design, review, and rationalize indexes (compound, partial, wildcard, Time To Live (TTL), text, geospatial) applying the Equality, Sort, Range (ESR) rule; eliminate unused and redundant indexes.
• Tune the WiredTiger storage engine, including internal cache sizing, eviction and checkpoint behavior, compression, and journaling.
• Operate and scale sharded clusters, managing balancer, chunk/range distribution, jumbo-chunk remediation, and resharding.
• Own backup/restore and Point-In-Time Recovery (PITR) strategy, plus rolling upgrades and patching with zero or minimal downtime.
• Right-size EC2 instances and EBS volumes (Input/Output Operations Per Second (IOPS) and throughput provisioning); on Kubernetes, own StatefulSet storage class, resource requests/limits, anti-affinity, and cache sizing.
• Partner with application teams on data modeling; review schema changes; publish standards, runbooks, and capacity guidance.

Required Skills:

• Expert in MongoDB.
• Strong experience in Performance tuning.
• Fluent in the aggregation framework, indexing strategy, and read/write/read-concern semantics.
• Strong explain-plan and profiler-driven query optimization.
• Deep understanding of WiredTiger internals: cache, eviction, checkpoints, journal, compression, document-level concurrency.
• Experience with replication and sharding operations at scale, including shard-key design trade-offs.
• Scripting for automation, specifically Python.
• Strong experience with tuning of specific clusters, queries, indexes, and schemas.
• Good experience designing sharding strategy and shard keys; plans resharding and zone strategy.
• Strong experience operating and monitoring existing sharded clusters; runs balancer, fixes hot chunks.

Qualifications:

• 8-10 years of experience.

Preferred Skills:

• MongoDB certification.
• Kubernetes operator experience for stateful MongoDB.
• Infrastructure-as-Code (Terraform/Ansible)

Key Skills

Education

Any Graduate