Sr MongoDB Performance Engineer

TCS • Austin, TX

7d

About The Position

MongoDB Performance Engineer to own the throughput, latency, scalability and operational reliability of MongoDB landscape. This is a hands-on database engineering role — not an application-developer role. The engineer is accountable for making MongoDB fast, predictable and cost-efficient at scale.

Requirements

• 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
• WiredTiger internals: cache, eviction, checkpoints, journal, compression, document-level concurrency.
• Replication and sharding operations at scale, including shard-key design trade-offs.
• Scripting for automation – 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

Nice To Haves

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

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 that inflate write cost and cache pressure.
• Tune the WiredTiger storage engine: internal cache sizing, eviction and checkpoint behavior, compression, and journaling, balanced against filesystem cache.
• Operate and scale sharded clusters: balancer management, chunk/range distribution, jumbo-chunk remediation, and (on modern versions) 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 against container memory limits.
• Partner with application teams on data modeling; review schema changes; publish standards, runbooks and capacity guidance.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed