Staff Engineer – Platform, SQL/NoSQL, Search & Distributed Databases

🕒 March 2

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HighLevel

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2018

☁️ SaaS

🤝 B2B

💰 Series A on 2021-11

SaaS • Marketing • B2B

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, configure, and optimize large-scale clusters of SQL(Postgres), MongoDB, ElasticSearch, and ClickHouse (TB–PB scale, billions of records). • Develop automation and service tooling for provisioning, monitoring, and self-healing of managed database services. • Collaborate with product and platform teams to embed best-practice data-access patterns, enforce SLAs, and review overall system design. • Instrument, benchmark, and tune query paths, indexing, memory/CPU usage, and storage layouts to ensure sub-second latencies. • Establish governance for backup/restore, disaster recovery, security, and compliance across AWS, GCP, and Azure environments.

🎯 Requirements

• 8+ Years of overall experience • Experience in designing, operating, and troubleshooting production database deployments. • Extensive experience configuring, tuning, and operating large-scale managed databases handling TB–PB data volumes and billions of records. • Hands-on experience with at least three of SQL(Postgres), MongoDB, ElasticSearch, and ClickHouse, including data modeling, indexing, and performance tuning. • Proven mastery of any programming language with clean, testable code. • Deep understanding of distributed-systems principles (CAP, consistency, consensus) and observability best practices. • Experience with CI/CD, containers (Docker/Kubernetes), and IaC (Terraform/Ansible) for database automation. • Solid grasp of SQL fundamentals; prior work with relational engines is a plus.