Related skills
node.js golang sql redis elasticsearch📋 Description
- Implement and optimize data access for large-scale data stores (ElasticSearch, Firestore).
- Monitor, troubleshoot, and tune databases to sub-second latencies.
- Contribute to high-performance data components handling terabytes of data.
- Develop reusable frameworks, SDKs, and services in Node.js and GoLang.
- Collaborate with product and platform teams to uphold SLAs.
- Support backup/restore, disaster recovery, security, and compliance across cloud environments.
🎯 Requirements
- 4+ years of backend/data-intensive software engineering.
- Proficiency in Node.js or GoLang for scripting and debugging.
- Experience with cloud managed databases such as MongoDB Atlas, ElasticSearch, Firestore, ClickHouse, Redis.
- SDE 2: experience with large-scale DB tech across multiple databases.
- SDE 3: proficiency across MongoDB, ClickHouse, ElasticSearch.
- Familiarity with CI/CD, Docker/Kubernetes, and IaC tools.
🎁 Benefits
- Remote-first, global team across 10+ countries.
- Work on a data-intensive platform at scale.
- Opportunity to impact HighLevel's data stack.
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