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HighLevel

The all-in-one sales & marketing platform that agencies can white-label. CRM, Email, 2-way SMS, Funnel Builder, & more!

Software Development Engineer – Platform Data

Full-stack EngineerSoftware EngineerFull TimeRemoteSeniorTeam 201-500Since 2018H1B No SponsorCompany SiteLinkedIn

Location

India

Posted

13 days ago

Salary

0

Seniority

Senior

Job Description

Software Development Engineer – Platform Data

HighLevel

• 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.

Job 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.

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