3 months ago
Remote, IndiaStaff+
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.
- Improve replication health, eliminate bottlenecks, 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 using metrics, traces, slow-query logs, replication-lag monitoring, and cluster-health dashboards.
- Establish unit, integration, and load-testing standards across backend modules.
- Drive RFCs, ADRs, design reviews, and reusable engineering patterns.
- Write code, design systems, debug production issues, and provide hands-on technical leadership.
- Mentor engineers and influence architecture across multiple squads and cross-functional teams.
Requirements
- 8+ years of experience building high-scale, mission-critical backend systems where p99 regressions are unacceptable.
- Deep expertise in concurrency, event-driven architectures, and consistency primitives such as CAS, atomic dry-runs, and idempotency.
- Experience with systems where correctness has direct financial consequences, including metering, ledgers, billing, reservations, or payment gateways.
- Strong experience with relational and NoSQL data models and working knowledge of streaming and analytical stores for time-windowed aggregation.
- Experience designing policy- or rules-driven systems with configurable behavior, versioning, safe rollout, and rollback.
- Experience setting enforcement thresholds and actions that distinguish harmful activity from legitimate customer behavior.
- Familiarity with monitoring, SLOs, and root-cause analysis in production environments.
- Familiarity with hallucination mitigation strategies such as code constraints, test scaffolding, embeddings, and context injection.
- Demonstrated technical leadership without formal authority, including cross-team architecture, design writing, and engineering mentorship.
- Excellent communication and cross-functional collaboration skills with Finance, Risk, and Support stakeholders.
- Pragmatic, hands-on engineering approach balancing long-term vision with iterative execution.
- Preferred experience with Elasticsearch cluster management, multi-tenant indexing, or lifecycle policies.
- Familiarity with ClickHouse or other OLAP systems, event-driven systems, data pipelines, or message brokers.
- Experience building rules engines, velocity checks, or adversarial defense systems at massive scale.
- Hands-on experience with Go, Redis using Lua, ClickHouse, Flink, Node.js, and production services on latency-sensitive or high-throughput paths.
- Exposure to Flink, Kafka Streams, or Beam and columnar analytical stores such as ClickHouse or BigQuery.
- Experience with AI tools, billing systems, metered systems, hyper-growth scaling, or open-source and technical writing contributions.
Benefits
- Remote-first work environment with team members across more than 10 countries.
- The role is associated with a remote work arrangement (#LI-Remote).
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About HighLevel
HighLevel builds a white-label, all-in-one marketing and CRM platform for agencies, entrepreneurs, and SMBs, combining lead capture, automation, email/SMS, websites and funnels, payments, and appointment management. Founded in 2018 and headquartered in Dallas, it is privately held and raised $60M in private equity funding in 2024. The subscription SaaS serves customers in 150+ countries and is used by over one million businesses.