Staff Engineer – Distributed Data Systems, Infrastructure

🔥 1 minute ago

🇮🇳 India – Remote

⏰ Full Time

🔴 Lead

🧑‍💻 Full-stack Engineer

👻 Ghost score 15%

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HighLevel

201 - 500 employees

Founded 2018

💼 Consulting

📦 Logistics

☁️ SaaS

💰 Series A on 2021-11

Consulting • Logistics • SaaS

HighLevel is an all-in-one marketing and sales platform designed to help businesses grow and succeed. The platform consolidates various marketing tools into a single solution, providing features such as lead capture through landing pages, surveys, forms, and calendars, as well as tools for nurturing leads via automated messaging across multiple channels including phone, SMS, email, and social media. HighLevel offers customizable solutions like online appointment scheduling, multi-channel follow-up campaigns, and pipeline management. Additionally, businesses can build websites, funnels, and landing pages using the intuitive page builder. HighLevel supports integrating with existing systems via API, and offers a membership platform for community building and course management. The platform is targeted towards marketers and offers white-labeling options for businesses to brand the software as their own. With a community-driven development approach and award-winning support, HighLevel is focused on empowering businesses to streamline their operations and enhance their marketing efficiencies.

📋 Description

• Design and evolve distributed data architectures capable of supporting significant growth in traffic, data volume, and engineering complexity • Develop reusable infrastructure components, frameworks, and platform capabilities for scalable systems • Identify limitations in existing systems and lead initiatives involving data distribution, sharding, replication, migrations, and architectural modernization • Influence database technology choices, architectural patterns, and long-term infrastructure direction • Lead initiatives improving scalability, resource efficiency, and infrastructure costs • Design systems resilient under high throughput, infrastructure failures, and changing workloads • Establish engineering standards and reusable solutions that eliminate recurring problems across teams • Work with senior engineers and engineering leadership to turn company-level challenges into executable technical programs • Take ownership of challenging infrastructure problems and enable systems to operate at substantially greater scale

🎯 Requirements

• 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 ability to influence architectural decisions without formal authority • Strong experience with relational databases such as MySQL or PostgreSQL • Experience with one or more distributed database technologies such as MongoDB, Cassandra, DynamoDB, or similar systems • Experience with distributed SQL, search infrastructure, analytical databases, or other large-scale storage systems is an advantage

🏖️ Benefits

• Global, remote-first organization • Employee India commitment

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