HighLevel - Lead Engineer - Platform (SQL/NoSQL, Search & Distributed Databases)

• 5+ Years of overall experience • Experience in designing, operating, and troubleshooting production database deployments. • Extensive experience configuring, tuning, and operating large-scale managed databases handling TB–PB data volumes and billions of records. • Hands-on experience with at least three of SQL(Postgres), MongoDB, ElasticSearch, and ClickHouse, including data modeling, indexing, and performance tuning. • Proven mastery of any programming language with clean, testable codeDeep understanding of distributed-systems principles (CAP, consistency, consensus) and observability best practices. • Experience with CI/CD, containers (Docker/Kubernetes), and IaC (Terraform/Ansible) for database automation. • Solid grasp of SQL fundamentals; prior work with relational engines is a plus. • Design, configure, and optimize large-scale clusters of SQL(Postgres), MongoDB, ElasticSearch, and ClickHouse (TB–PB scale, billions of records). • Develop automation and service tooling for provisioning, monitoring, and self-healing of managed database services. • Collaborate with product and platform teams to embed best-practice data-access patterns, enforce SLAs, and review overall system design. • Instrument, benchmark, and tune query paths, indexing, memory/CPU usage, and storage layouts to ensure sub-second latencies. • Establish governance for backup/restore, disaster recovery, security, and compliance across AWS, GCP, and Azure environments. • Leadership of multi-region or hybrid-cloud data platforms. • Expertise in ClickHouse-based real-time analytics or ElasticSearch-powered search at scale. • Hands-on with streaming or ETL frameworks (PubSub, Kafka, Pulsar, Spark, Flink).