🛠 Tech Stack

💼 About This Role

You'll implement and optimize shared frameworks and services that handle data at scale, working with SQL, MongoDB, ElasticSearch, and ClickHouse. Your code will support over 4 billion daily API hits and 2.5 billion message events, ensuring sub-second latencies and operational excellence.

🎯 What You'll Do

• Implement and optimize data access patterns with ElasticSearch, MongoDB, ClickHouse, and Redis
• Monitor, troubleshoot, and tune database instances for sub-second latencies
• Develop reusable frameworks and platform services in Node.js and GoLang
• Collaborate with product and platform teams to maintain data platform SLAs

📋 Requirements

• 4+ years software engineering with backend services and data-intensive systems
• Proficiency in Node.js or GoLang
• Hands-on experience optimizing and scaling cloud-managed databases
• Solid grasp of SQL fundamentals

✨ Nice to Have

• Experience with ClickHouse-based real-time analytics or ElasticSearch search at scale
• Hands-on with streaming or ETL frameworks (PubSub, Kafka, Spark, Flink)
• Exposure to AI concepts for database problem-solving

🎁 Benefits & Perks

• 🏖️ Remote-first work environment
• 🌍 Global team across 10+ countries
• 🚀 Impact on millions of businesses worldwide
• 💡 Innovation culture with idea celebration
• 👥 People-first approach

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Call· 30 min
2. 2Technical Interview· 60 min
3. 3Onsite Interview· 120 min