# Staff Backend Engineer - Trust & Control Safety Systems

**Company:** [GoHighLevel](https://hotfix.jobs/companies/gohighlevel)
**Location:** Remote
**Role:** Backend Engineering
**Experience:** 8+ years
**Skills:** MongoDB, Firestore, Elasticsearch, Redis, ClickHouse, Flink, Go, Node.js, Kafka Streams, Apache Beam, BigQuery, Distributed Systems, Event-Driven Architecture, SLOs
**Posted:** 2026-08-10

> Leads the architecture and implementation of a real-time trust, controls, and safety platform protecting high-volume workflows, transactions, and communications. Requires 8+ years building mission-critical backend systems, deep distributed-systems expertise, and experience with financially consequential data.

## Job Description

## Responsibilities
- Redesign and optimize data models, queries, and indexing strategies across MongoDB, Firestore, and Elasticsearch.
- Own Elasticsearch reliability, including ingestion, indexing, shard strategy, and query performance for billions of documents.
- Eliminate bottlenecks, improve replication health, and enforce predictable query and index latency.
- Define data flows and integration boundaries between storage, cache, and APIs with clear contracts and fault isolation.
- Build observability across data paths, including metrics, traces, slow-query logs, replication lag, and cluster-health dashboards.
- Enforce unit, integration, and load-testing standards across backend modules.
- Drive RFCs, ADRs, and design reviews; codify repeatable engineering patterns.
- Write code, design systems, and debug production issues as a hands-on technical leader.
- Mentor engineers and influence architecture across teams.

## Requirements
- 8+ years of experience building high-scale, mission-critical backend systems.
- Deep expertise in concurrency, event-driven architectures, and consistency primitives such as compare-and-swap, atomic dry-runs, and idempotency.
- Experience with systems where correctness has financial consequences, including metering, ledgers, billing, payments, or reservations.
- Technical leadership through influence, including driving multi-team architecture from design through production.
- Strong experience with relational and NoSQL data models and working knowledge of streaming and analytical stores for time-windowed aggregation.
- Experience designing configurable policy- or rules-driven systems with versioning, safe rollout, and rollback.
- Ability to balance enforcement thresholds against legitimate customer activity and measure outcomes.
- Familiarity with monitoring, SLOs, and production root-cause analysis.
- Familiarity with hallucination mitigation strategies such as code constraints, test scaffolding, embeddings, and context injection.
- Excellent communication and cross-functional collaboration skills.
- Pragmatic, hands-on engineering approach balancing long-term vision with iterative execution.

## Nice to Have
- Elasticsearch cluster management, multi-tenant indexing, or lifecycle policies.
- ClickHouse or other OLAP systems.
- Event-driven systems, data pipelines, or message brokers.
- Open-source contributions or public technical writing on database performance or systems design.
- Experience building rules engines, velocity checks, or adversarial defense systems at scale.
- Experience with Go, Redis Lua, ClickHouse, and Flink for real-time aggregation.
- Experience scaling early architectures into load-bearing platforms.
- Stream processing with Flink, Kafka Streams, or Beam.
- Columnar analytical stores such as ClickHouse or BigQuery.
- Production experience with Node.js and Go, particularly for latency-sensitive or high-throughput services.
- Experience with AI tools, billing, and metered systems.
- Contributions to open-source tools, internal platforms, or engineering blogs.

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