---
title: 'Staff Engineer - Platform (Database & Data Infrastructure) at HighLevel'
canonical: 'https://feeny.ai/job/staff-engineer-platform-database-data-infrastructure-highlevel-india-gw6053cvk0ca'
type: 'job'
last_seen: '2026-09-12'
---

# Staff Engineer - Platform (Database & Data Infrastructure) at HighLevel

- **Company:** HighLevel
- **Location:** India
- **Work type:** remote
- **Posted:** 2026-09-10
- **Last confirmed live:** 2026-09-12
- **Apply:** https://jobs.lever.co/gohighlevel/64bf6f1d-25b5-4202-9da9-e619fbe6dcb5

## Job description

About HighLevel: HighLevel is an AI-powered business operating system that gives agencies, entrepreneurs and SMBs the infrastructure to build, automate and scale. Today, 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, demonstrating the impact of shared infrastructure at scale. By centralizing conversations, automation and intelligence into one system, we help businesses move faster, reduce complexity and execute efficiently. Behind the platform, HighLevel powers more than 4 billion API hits and 2.5 billion message events daily. With 250 terabytes of distributed data, 250+ microservices and over 1 million domain names supported, our architecture is built for performance, resilience and long-term scalability.

Our People With over 2,000 team members across 10+ countries, HighLevel operates as a global, remote-first organization built for speed and ownership. We value initiative, clarity and execution, creating space for ambitious people to build systems that support millions of businesses worldwide. Here, innovation thrives, ideas are celebrated and people come first, no matter where they call home.

Our Impact Every month, HighLevel enables more than 1.5 billion messages, 200 million leads and 20 million conversations for the more than 1 million businesses we support. Behind those numbers are real people building independence, expanding opportunity and creating measurable impact. We’re proud to be a part of that. Learn more about us on our [YouTube Channel](https://www.youtube.com/channel/UCXFiV4qDX5ipE-DQcsm1j4g) or [Blog Posts](https://blog.gohighlevel.com/general-atlantic-joins-highlevel/)

About the Role: We are looking for a Staff Engineer - Database & Data Infrastructure to help define and drive the technical direction of database infrastructure across the company.

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.

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.

Relevant Technology Experience

- We value breadth of database architecture experience and depth of fundamentals over expertise in our specific technology stack.
- Experience in any programming language like Node.JS, Java, Python
- Experience with several technologies such as the following would be relevant:
- Relational & Distributed SQL: MySQL, PostgreSQL, Oracle, SQL Server, Amazon Aurora, Google Cloud Spanner, CockroachDB, TiDB, YugabyteDB, Vitess
- NoSQL & Distributed Databases: MongoDB, DynamoDB, Cassandra, ScyllaDB, HBase, Cosmos DB, Couchbase, Firestore
- Search & High-Throughput Systems: Elasticsearch, OpenSearch, Redis/Valkey
- Large-Scale Analytical Systems: ClickHouse, BigQuery, Snowflake, Redshift, Databricks, Pinot, Druid
- You do not need experience with all of these technologies. We are looking for engineers who understand database and distributed-system fundamentals deeply enough to reason about trade-offs and make strong architectural decisions across different technologies

What Success Looks Like: In this role, you will create leverage beyond any individual database or engineering team.

You will help us:

- 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

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.

We are looking for an engineer who can combine:

Deep database expertise · Distributed systems thinking · Architectural judgment · Strong execution · Company-wide technical influence

EEO Statement: The company is an Equal Opportunity Employer. As an employer subject to affirmative action regulations, we invite you to voluntarily provide the following demographic information. This information is used solely for compliance with government recordkeeping, reporting, and other legal requirements. Providing this information is voluntary and refusal to do so will not affect your application status. This data will be kept separate from your application and will not be used in the hiring decision.

We encourage you to review our Privacy Policy before submitting your application

## About HighLevel

## Company Overview
- **One-liner**: HighLevel provides an all-in-one, AI-powered sales and marketing platform that agencies can white-label and resell to their clients.
- **Entity Type**: Private (Series Unknown; $60M total funding)
- **Headquarters**: Dallas, Texas, United States
- **Founded**: 2018
- **Founders**: Shaun Clark, Varun Vairavan, Robin Alex

## Core Business
- **Primary industry**: Marketing technology / Sales automation / Software Development
- **Target customers**: B2B – marketing agencies, entrepreneurs, and small-to-medium businesses (SMBs)
- **Mission / Purpose**: Help marketing agencies grow and scale by unifying the tools they need to capture leads, automate outreach, and manage customer relationships in a single, white-label platform.

## Products & Services
- **HighLevel Platform (SaaS)**: A unified operating system that includes CRM, landing pages, surveys, forms, calendars, inbound phone system, automated messaging (voicemail, SMS, email, Facebook Messenger), payment collection, appointment scheduling, and analytics. AI is embedded across the entire system to power lead generation, conversion, and retention.

## Market Standing
- **Valuation / Market Cap**: Not publicly disclosed.
- **Key Metric**: Annual revenue of $45M (as of most recent data); total funding of $60M.
- **Notable Investors / Partners**: General Atlantic (lead investor in 2024 private equity round), Peakequity (lead investor in 2021 round).
- **Growth Signals**: 
  - Powers 2.2 million businesses, facilitating 6.9 billion leads and $4.2 billion in sales (2025).
  - Employee headcount grew 53.7% year-over-year to ~1,497, with plans to surpass 2,000 by end of 2025.
  - 30% of workforce dedicated to R&D.
  - Expanded AI capabilities in 2024; manages 2.3 billion leads and 505 million opportunities.

## Competitive Advantages
- **White-labeling**: Agencies can fully rebrand the platform as their own, creating a stickier client relationship and recurring revenue.
- **AI-first approach**: AI embedded across the entire stack (lead scoring, automation, analytics) gives users a competitive edge without needing multiple tools.
- **Unified ecosystem**: Replaces the need for a patchwork of separate tools (CRM, email marketing, SMS, scheduling, payments), reducing complexity and cost for agencies.
- **Community-driven innovation**: Product roadmap heavily influenced by a large, active user community of 60,000+ customers.

## Strategic Focus
- **AI expansion**: Deepening AI capabilities to automate more of the marketing and sales workflow.
- **Scaling the platform**: Continuing to grow the user base (targeting 2,000+ employees) and expanding into new verticals.
- **Global reach**: Leveraging a remote-first, globally distributed team to serve customers in multiple countries and time zones.

## Why Work Here
- **Remote-first culture**: Work from anywhere; team spans 21 countries with async and real-time communication.
- **Culture of collaboration**: Emphasis on ownership, speed, continuous improvement; active Slack community and in-person retreats.
- **Benefits**: Comprehensive health & wellness, mental health support, flexible PTO, professional development stipends, mentorship, and leadership programs.
- **Engineering culture**: 30% of workforce in R&D; focus on building technology that serves millions; AI tools used in hiring process.
- **Growth opportunity**: Rapidly scaling company (53.7% YoY headcount growth) with clear plans to surpass 2,000 employees.

## Sources
1. [gohighlevel.com – Life at HighLevel](https://www.gohighlevel.com/careers-life-at-highlevel)
2. [gohighlevel.com – About Us](https://www.gohighlevel.com/about-us)
3. [LinkedIn – HighLevel Company Page](https://www.linkedin.com/company/highlevel)
4. [LeadIQ – HighLevel Overview](https://leadiq.com/c/highlevel/5b214cbe360000fc0066929d)

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