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About Us:
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 4 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 hostnames.
Our People
With 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 Impact
As 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
EEO Statement:
At HighLevel, we value diversity. In fact, we understand it makes our organisation stronger. We are committed to inclusive hiring/promotion practices that evaluate skill sets, abilities, and qualifications without regard to any characteristic unrelated to performing the job at the highest level. Our objective is to foster an environment where really talented employees from all walks of life can be their true and whole selves, cherished and welcomed for their differences while providing excellent service to our clients and learning from one another along the way! Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.
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What you need to know about the Delhi Tech Scene
Delhi, India's capital city, is a place where tradition and progress co-exist. While Old Delhi is known for its rich history and bustling markets, New Delhi is defined by its modern architecture. It's clear the region places a strong emphasis on preserving its cultural heritage while embracing technological advancements, particularly in artificial intelligence, which plays a central role in shaping the city's tech landscape, fueled by investments in research and development.
