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Open nowPosted 4 days ago

Staff Engineer – Distributed Data Systems & Infrastructure

HighLevel100 open roles

Where
India
Work mode
Remote
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Your applicationOpen nowStaff Engineer – Distributed Data Systems & InfrastructureHighLevel · India

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  2. CV RocketCV written for this posting.

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The clock on this job

Early applications get read.

11.8% of postings close within 7 days. Measured by our own scanner across the market. HighLevel postings stay open a median of 38 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: posted 4 days ago

HighLevel median: 38 days open

The posting

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 or Blog Posts.

About the Role:

What You'll Do:

  • Architect for scale: Design and evolve distributed data architectures capable of supporting significant growth in traffic, data volume, and engineering complexity.
  • Build infrastructure platforms: Develop reusable infrastructure components, frameworks, and platform capabilities that enable engineering teams to build scalable systems.
  • Drive architectural evolution: Identify fundamental limitations in existing systems and lead large-scale initiatives involving data distribution, sharding, replication, migrations, and architectural modernization.
  • Shape technical strategy: Influence database technology choices, architectural patterns, and long-term infrastructure direction across the company.
  • Improve infrastructure economics: Lead engineering initiatives that materially improve scalability, resource efficiency, and infrastructure costs.
  • Engineer for reliability: Design systems that remain available and resilient under high throughput, infrastructure failures, and changing workload patterns.
  • Create organizational leverage: Establish engineering standards and reusable solutions that eliminate recurring problems across teams.
  • Lead through technical influence: Work with senior engineers and engineering leadership to turn ambiguous, company-level challenges into executable technical programs.

What We're Looking For:

  • 9+ years of strong software engineering experience, including significant hands-on experience designing and building distributed systems, backend infrastructure, or large-scale data platforms, with demonstrated Staff-level technical impact.
  • Strong software engineering background with experience designing and building production infrastructure, not only operating or administering it.
  • Experience architecting systems handling multi-terabyte datasets and 30K–50K+ operations per second, or comparable large-scale distributed workloads.
  • Deep understanding of distributed systems concepts, including partitioning, sharding, replication, consistency, concurrency, fault tolerance, and data distribution.
  • Strong hands-on experience with both relational and NoSQL database architectures, including their design principles, scalability characteristics, and trade-offs.
  • Experience leading complex architectural initiatives involving multiple systems and engineering teams. Ability to identify systemic technical problems and design solutions that improve infrastructure across the organization.
  • Strong technical judgment, ownership, and the ability to influence architectural decisions without formal authority.

Tech Experience:

What Makes Someone Successful in This Role:

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

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