Staff Engineer – Platform, Database & Data Infrastructure

🔥 0 minutes ago

🇮🇳 India – Remote

⏰ Full Time

🔴 Lead

🏗️ Platform Engineer

👻 Ghost score 13%

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HighLevel

WebsiteLinkedInAll Job Openings

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

• 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 improve database infrastructure cost and performance at company scale • Evaluate new database technologies and architectures and make 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 • Build database architecture supporting 5–10× future growth, reduce systemic risks, simplify infrastructure operations, improve technology decisions and database economics, and establish lasting technical standards

🎯 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 • Experience in any programming language like Node.JS, Java, Python • Experience with several relational, distributed SQL, NoSQL, search, high-throughput, and large-scale analytical database technologies; experience with all listed technologies is not required

🏖️ Benefits

• Global, remote-first organization • Employee India commitment