Lead Engineer – Databases
HighLevel.com
Hybrid
Delhi
Full Time
About HighLevel:HighLevel is an AI powered, all-in-one white-label sales & marketing platform that empowers agencies, entrepreneurs, and businesses to elevate their digital presence and drive growth. We are proud to support a global and growing community of over 2 million businesses, comprised of agencies, consultants, and businesses of all sizes and industries. HighLevel empowers users with all the tools needed to capture, nurture, and close new leads into repeat customers. As of mid 2025, HighLevel processes over 15 billion API hits and handles more than 2.5 billion message events every day. Our platform manages over 470 terabytes of data distributed across five databases, operates with a network of over 250 microservices, and supports over 1 million domain names.
Our PeopleWith over 1,500 team members across 15+ countries, we operate in a global, remote-first environment. We are building more than software; we are building a global community rooted in creativity, collaboration, and impact. We take pride in cultivating a culture where innovation thrives, ideas are celebrated, and people come first, no matter where they call home.
Our ImpactAs of mid 2025, our platform powers over 1.5 billion messages, helps generate over 200 million leads, and facilitates over 20 million conversations for the more than 2 million businesses we serve each month. Behind those numbers are real people growing their companies, connecting with customers, and making their mark - and we get to help make that happen.
About the Role:We are seeking an experienced Lead Engineer – Databases with deep expertise in Elasticsearch, Clickhouse, and other modern data systems. You will lead the design, development, and optimization of scalable, high-throughput database solutions that power key products and internal systems. This role emphasizes performance tuning, efficient data modeling, and the deployment of cloud-native database architectures that can handle both real-time and batch processing at scale.
#LI-Remote #LI-NJ1
Our PeopleWith over 1,500 team members across 15+ countries, we operate in a global, remote-first environment. We are building more than software; we are building a global community rooted in creativity, collaboration, and impact. We take pride in cultivating a culture where innovation thrives, ideas are celebrated, and people come first, no matter where they call home.
Our ImpactAs of mid 2025, our platform powers over 1.5 billion messages, helps generate over 200 million leads, and facilitates over 20 million conversations for the more than 2 million businesses we serve each month. Behind those numbers are real people growing their companies, connecting with customers, and making their mark - and we get to help make that happen.
About the Role:We are seeking an experienced Lead Engineer – Databases with deep expertise in Elasticsearch, Clickhouse, and other modern data systems. You will lead the design, development, and optimization of scalable, high-throughput database solutions that power key products and internal systems. This role emphasizes performance tuning, efficient data modeling, and the deployment of cloud-native database architectures that can handle both real-time and batch processing at scale.
Responsibilities:
- Design and optimize usage of Elasticsearch (e.g., Amazon OpenSearch) and Clickhouse for operational and analytical workloads
- Develop efficient, scalable data models for document, search, and columnar storage patterns
- Continuously monitor and improve query performance, indexing strategies, and cost-effectiveness of managed services
- Collaborate closely with engineering, data, and DevOps teams to integrate database best practices into applications and pipelines
- Ensure high availability and performance of structured, semi-structured, and unstructured data workloads
- Define and enforce best practices for schema governance, access control, and data lifecycle management
- Evaluate and benchmark new managed database services to support evolving product needs
- Automate performance monitoring and alerting using tools such as Datadog, CloudWatch, or equivalents
Requirements:
- 5+ years of experience working with cloud-managed database platforms
- Deep expertise in Elasticsearch/OpenSearch (indexing, search relevance, aggregation) and Clickhouse (columnar storage, high-throughput queries)
- Strong experience with SQL and NoSQL systems in production environments at scale
- Proven ability to optimize query performance and storage in high-scale environments
- Experience integrating databases with application stacks and streaming pipelines (e.g., Kafka)
- Proficiency in at least two programming languages (e.g., NodeJS, Go, Rust) for automation and tooling
- Understanding of cloud-native security, RBAC, and compliance requirements
- Experience with database observability, monitoring, and alerting systems
Preferred Skills:
- Experience with managed databases such as Firestore, MongoDB, or Redis
- Exposure to other managed data platforms like BigQuery, DynamoDB, Snowflake, etc.
- Familiarity with distributed systems, multi-region data patterns, and high-availability strategies
- Background in building or supporting analytics, observability, or search platforms
#LI-Remote #LI-NJ1
Lead Engineer – Databases
Hybrid
Delhi
Full Time
August 25, 2025