> Markdown version of [/jobs/ext/2590675-mongodb-performance-engineer-mongodb-database-engineer](https://www.wearedevelopers.com/jobs/ext/2590675-mongodb-performance-engineer-mongodb-database-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # MongoDB Performance Engineer / MongoDB Database Engineer - **Company:** Galaxy i Technologies, Inc - **Location:** Austin, TX, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Amazon Elastic Compute Cloud, Databases, Shard (Database Architecture), Python (Programming Language), Log Analysis, MongoDB, Performance Tuning, Query Optimization, Ansible, Runbook, Database Engines, Scripting, Indexer, Kubernetes, Low Latency, Terraform - **Published:** August 15, 2026 - **Apply:** https://www.dice.com/job-detail/72c5fd10-0415-4ec9-a8ba-e066a95b5a8f ## About the Role Must Have Skills: 1. Expert in MongoDB 2. Strong experience in Performance tuning 3. Fluent in the aggregation framework, indexing strategy, and read/write/read-concern semantics. 4. Strong explain-plan and profiler-driven query optimization 5. WiredTiger internals: cache, eviction, checkpoints, journal, compression, document-level concurrency. 6. Replication and sharding operations at scale, including shard-key design trade-offs. 7. Scripting for automation - Python 8. Strong experience with tuning of specific clusters, queries, indexes and schemas 9. Good experience designing sharding strategy and shard keys; plans resharding and zone strategy 10. Strong experience operating and monitoring existing sharded clusters; runs balancer, fixes hot chunks Nice To Have Skills: 1. MongoDB certification 2. Kubernetes operator experience for stateful MongoDB; Infrastructure-as-Code (Terraform/Ansible)., Skills: Digital : Mongo DB~Performance Engineering ## Description 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. Performance engineering (Primary) * 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. Operations & reliability * 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. Infrastructure, OS & platform * 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. ## Related Videos - [40 Minutes to Build a Serverless COVID-19 REST and GraphQL APIs](https://www.wearedevelopers.com/videos/208-40-minutes-to-build-a-serverless-covid-19-rest-and-graphql-apis) - [Database Magic behind 40 Million operations/s](https://www.wearedevelopers.com/videos/748-database-magic-behind-40-million-operations-s) - [Dev & Test in the Cloud? 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