Staff Backend Engineer – Conversations

HighLevel

full-time

Posted on: 1/15/2026

Location Type: Remote

Location: India

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About the role

Database architecture: Redesign and optimize data models, queries, and indexing strategies across MongoDB, Firestore, and ElasticSearch
Search at scale: Own ElasticSearch reliability — ingestion, indexing, shard strategy, and query performance for billions of documents
Reliability & performance: Eliminate bottlenecks, improve replication health, and enforce predictable query and index latency
System design: Define data flow and integration boundaries between storage, cache, and APIs with clear contracts and fault isolation
Observability: Build visibility into every data path — metrics, traces, slow query logs, replication lag, and cluster health dashboards
Testing & quality: Make testing non-negotiable — enforce unit, integration, and load testing standards across all backend modules
Engineering culture: Drive RFCs, ADRs, and design reviews that push clarity and precision. Codify patterns that make good engineering repeatable
Hands-on leadership: Write code, design systems, and debug production issues. Lead by technical example, not by delegation
Mentorship & influence: Level up engineers around you — reviews that teach, feedback that sticks, and systems that outlive individuals

8+ years of backend engineering experience with deep database expertise
Proven success with ElasticSearch, MongoDB, or Firestore at massive scale
Strong understanding of indexing, query optimization, caching, and consistency models
Expert in Node.js (TypeScript) and comfortable designing scalable microservices
Cloud experience with GCP (GKE, Pub/Sub, Cloud Tasks) or similar distributed infra
Practical knowledge of observability: Grafana, Kibana, OpenTelemetry
Passion for code quality and process: testing discipline, documentation, and design rigor
A track record of shaping team culture — setting standards through RFCs, ADRs, and clear technical writing
No tolerance for regressions, unclear ownership, or untested systems.

Benefits

EEO Statement: The company is an Equal Opportunity Employer. As an employer subject to affirmative action regulations, we invite you to voluntarily provide the following demographic information. This information is used solely for compliance with government recordkeeping, reporting, and other legal requirements. Providing this information is voluntary and refusal to do so will not affect your application status. This data will be kept separate from your application and will not be used in the hiring decision.

Tip: use these terms in your resume and cover letter to boost ATS matches.

database architecturequery optimizationindexing strategiesElasticSearchMongoDBFirestoreNode.jsTypeScriptmicroservicestesting discipline

leadershipmentorshiptechnical writingengineering cultureclarityprecisionfeedbackteam cultureinfluencecommunication