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Software Development Engineer – Platform Data
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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