Staff Engineer - Platform (Database & Data Infrastructure)

HighLevel

IndiaremotePosted 1 month ago

Skill Required

Platform-EngineeringDatabase-AdministrationStaff-EngineerData-InfrastructureDistributed-Systems-EngineeringStaff-Platform-EngineerStaff-Database-EngineerStaff-Data-EngineerData-Platform-EngineerInfrastructure-Platform-EngineerStaff-Infrastructure-EngineerData-Platform-Engineer-JobsData-Platforms-EngineeringData EngineerPlatform EngineerInfrastructure EngineerSystem DesignBackup and RecoveryMicroservicesElasticsearchObservabilityGCPSQL ServerEngineeringR ProgrammingDatabricksPostgreSQLanalyticalautomationSnowflakeCassandradesigningFirebaseNode.jsBigQueryRedshiftDynamoDBbuildingQuery OptimizationMongoDBwrittenFulltime

Key highlights

Remote-first, global organization with 2,000+ team members across 10+ countries
Staff/Principal-level senior individual contributor role
Platform supports 1M+ businesses generating over $7 billion in ecosystem value
Architecture handles 4B+ API hits and 2.5B+ message events daily across 250TB of distributed data
Must-have: experience with multi-terabyte production datasets and 30K–50K+ ops/sec throughput
Must-have: proven track record leading cross-team architectural changes and migrations

Role overview

HighLevel is an AI-powered business operating system that helps agencies, entrepreneurs, and SMBs build, automate, and scale. The platform supports over 1 million businesses across 150+ countries, processes more than 4 billion API hits and 2.5 billion message events daily, and has generated over $7 billion in ecosystem value. HighLevel operates as a global, remote-first organization with over 2,000 team members across 10+ countries, built around speed, ownership, initiative, clarity, and execution. We are looking for a Staff Engineer - Database & Data Infrastructure to define and drive the technical direction of database infrastructure across the company. This is a senior individual contributor role focused on architecture, platform strategy, and company-level technical impact — not a traditional DBA role.

Responsibilities

Define and evolve the long-term database and data infrastructure strategy across the company.
Design architectures capable of supporting the next order of magnitude of growth in data volume and traffic.
Establish architectural standards and paved roads for database selection, data modeling, partitioning, sharding, replication, consistency, availability, and data lifecycle.
Lead complex, cross-team initiatives such as database migrations, re-platforming, sharding, multiregion architectures, and major scalability improvements.
Identify systemic reliability, scalability, and capacity risks before they become critical production problems.
Drive database platform capabilities that make infrastructure more self-service, observable, reliable, and easier to operate for engineering teams.
Develop strategies for capacity planning, data growth, archival, disaster recovery, and infrastructure efficiency.
Identify opportunities to materially improve database infrastructure cost and performance at company scale.
Evaluate new database technologies and architectures and make pragmatic build-vs-buy and technology-selection decisions.
Partner with senior engineers and engineering leadership on architecture and long-term technical direction.
Mentor engineers and raise the technical bar for database and distributed-systems engineering across the organization.

Requirements

Significant experience as a Staff Engineer, Principal Engineer, or equivalent senior individual contributor, solving infrastructure or database problems across multiple teams.
Deep understanding of database internals and distributed systems, including storage, indexing, partitioning, sharding, replication, consistency, transactions, availability, and failure modes.
Experience designing and operating production database systems with multi-terabyte or larger datasets.
Experience with high-throughput systems handling 30K–50K+ operations per second, preferably at substantially higher scale.
Strong production experience across multiple database technologies and database architectures, including both relational and NoSQL/distributed systems.
Experience leading major architectural changes, migrations, or scaling initiatives involving multiple engineering teams.
Strong understanding of database reliability, capacity planning, observability, and infrastructure economics.
Ability to take ambiguous technical problems, establish a direction, build alignment, and drive them through execution.
Strong written and verbal communication skills with the ability to influence engineers and engineering leadership without relying on organizational authority.

Nice to have

Experience in any programming language like Node.JS, Java, or Python.
Experience with Relational & Distributed SQL databases such as MySQL, PostgreSQL, Oracle, SQL Server, Amazon Aurora, Google Cloud Spanner, CockroachDB, TiDB, YugabyteDB, or Vitess.
Experience with NoSQL & Distributed Databases such as MongoDB, DynamoDB, Cassandra, ScyllaDB, HBase, Cosmos DB, Couchbase, or Firestore.
Experience with Search & High-Throughput Systems such as Elasticsearch, OpenSearch, or Redis/Valkey.
Experience with Large-Scale Analytical Systems such as ClickHouse, BigQuery, Snowflake, Redshift, Databricks, Pinot, or Druid.

Additional details

HighLevel supports SMBs across 150+ countries, fueling community-driven growth rooted in real customer outcomes.
To date, businesses operating on HighLevel have generated over $7 billion in ecosystem value.
HighLevel powers more than 4 billion API hits and 2.5 billion message events daily.
The platform manages 250 terabytes of distributed data, 250+ microservices, and over 1 million domain names.
HighLevel has over 2,000 team members across 10+ countries and operates as a global, remote-first organization.
Every month, HighLevel enables more than 1.5 billion messages, 200 million leads, and 20 million conversations for the more than 1 million businesses it supports.
This is a senior individual contributor role for an engineer who has designed and operated database systems at significant scale and can apply that experience to company-wide challenges.
You will work across engineering teams to shape database architecture, establish scalable patterns and platforms, anticipate future constraints, and lead initiatives that improve scalability, reliability, developer experience, and infrastructure efficiency.
This is not a traditional DBA role. While deep database expertise is essential, the role is focused on architecture, platform strategy, and company-level technical impact.
We value breadth of database architecture experience and depth of fundamentals over expertise in our specific technology stack.
Success in this role is measured by the lasting technical and organizational impact you create — not simply by the systems you personally build or operate.
In this role, you will create leverage beyond any individual database or engineering team.
Help build database architecture that can support 5–10× future growth.
Reduce systemic reliability and scalability risks.
Simplify how engineering teams consume and operate database infrastructure.
Make better company-wide technology and architecture decisions.
Improve the economics of operating databases at scale.
Establish technical standards that continue to create value as the organization grows.
We are looking for an engineer who can combine deep database expertise, distributed systems thinking, architectural judgment, strong execution, and company-wide technical influence.
The company is an Equal Opportunity Employer.
Demographic information collection is voluntary and used solely for compliance with government recordkeeping, reporting, and other legal requirements; refusal will not affect application status.
Originally posted on Himalayas.