🛠 Tech Stack

💼 About This Role

You'll shape the performance and scalability of a cutting-edge cloud platform powering real-time analytics and large-scale data workloads. You will operate at the core of distributed systems engineering, focusing on benchmarking, optimization, and resilience at scale. This role offers a unique opportunity to drive performance improvements that directly impact product reliability.

🎯 What You'll Do

• Lead performance benchmarking and analysis across distributed systems
• Troubleshoot complex system issues and resolve production-level challenges
• Design and execute chaos engineering initiatives to test system robustness
• Build and maintain tools for automated performance testing and monitoring

📋 Requirements

• 6+ years of experience in software engineering with distributed systems focus
• Proficiency in programming languages such as Go, Java, or C++
• Experience with cloud platforms like AWS, GCP, or Azure and Kubernetes
• Solid understanding of concurrency, multithreading, and scalable system design

✨ Nice to Have

• Database performance tuning and benchmarking
• Capacity planning and resource optimization
• Experience with chaos engineering tools

🎁 Benefits & Perks

• 💰 Competitive salary aligned with market benchmarks
• 🏠 Remote-first work with global collaboration
• 🏥 Comprehensive healthcare with employer contributions
• 📈 Equity through stock options
• 🏖️ Generous PTO and flexible leave policies

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Hiring Manager Interview· 45 min
3. 3Technical Interview· 60 min