Software Development Engineer – Platform Data

🕒 May 14

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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

• Implement and optimize data access patterns for efficient interaction with large-scale data using ElasticSearch, Google Firestore, MongoDB Atlas, ClickHouse, and Redis. • Monitor, troubleshoot, and tune existing database instances (SQL, MongoDB, ElasticSearch, ClickHouse) to ensure sub-second latencies and operational stability. • Contribute to the design and implementation of high-performance components that handle terabytes of data. • Focus on instrumentation, benchmarking, and optimizing query paths, indexing, memory/CPU usage, and storage layouts. • Develop and maintain reusable frameworks, SDKs, and platform services in programming languages, with a focus on Node.js and GoLang. • Actively participate in design reviews and adhere to engineering best practices to maintain a high technical standard. • Collaborate with product and platform teams to implement best-practice data-access patterns and uphold SLAs. • Partner with multiple teams to deliver reliable, secure, and maintainable data platform capabilities. • Support the operational health of database environments, including contributing to processes for backup/restore, disaster recovery, security, and compliance across AWS, GCP, and Azure environments.

🎯 Requirements

• 4+ years of software engineering experience, with success in backend services and data-intensive systems. • Mandatory proficiency in Node.js or GoLang for scripting and debugging within our codebase environment. • Hands-on experience optimizing and scaling systems using cloud-managed databases (e.g., MongoDB Atlas) such as ElasticSearch, Firestore, MongoDB, ClickHouse, and Redis. • SDE 2: Proven experience with at least one large-scale database technology. • SDE 3: Proficiency across multiple database technologies (e.g., MongoDB, ClickHouse, ElasticSearch). • Proven mastery of a programming language with clean, testable code. • Solid grasp of SQL fundamentals; prior work with relational engines is a plus. • Understanding of distributed-systems principles (CAP, consistency, consensus) and observability best practices. • Familiarity with CI/CD, containers (Docker/Kubernetes), and IaC (Terraform/Ansible) for database automation.

🏖️ Benefits

• EEO Statement: The company is an Equal Opportunity Employer. • Privacy Policy for review before application submission.