🛠 Tech Stack

💼 About This Role

You'll join a globally distributed team improving storage efficiency for metrics and logs in Elasticsearch. You'll design and implement advanced algorithms for querying and aggregating stored data. This role offers the opportunity to become an expert in the storage engine area and work with a community of experienced engineers.

🎯 What You'll Do

• Work on enhancing logging solutions to ensure data acceptance and persistence
• Advance metrics processing capabilities for massive customer adoption
• Improve storage efficiency across the board
• Extend query and aggregation logic considering storage layout

📋 Requirements

• Strong core Java skills and familiarity with standard library
• Excellent understanding of concurrent and parallel programming
• Background in applied data processing (data structures, algorithms)
• Familiarity with storage systems and low-level OS abstractions

✨ Nice to Have

• Experience building with Elasticsearch
• Worked on data storage technology
• Experience with open source projects

🎁 Benefits & Perks

• 🏖️ Remote-first work environment
• 📈 Stock program participation
• 💰 Company-matched 401k up to 6% of eligible earnings
• 🏥 Comprehensive benefits with focus on well-being

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Team Interview· 60 min