🛠 Tech Stack

💼 About This Role

You'll architect high-throughput streaming pipelines for a next-generation Data Enrichment Platform at a leading SaaS company. You'll drive reliability and performance at massive scale, setting engineering standards for the team.

🎯 What You'll Do

• Design distributed streaming architectures using Kafka Streams, Spark, and Flink
• Optimize system performance for low latency and high throughput
• Drive quality through monitoring and automated testing frameworks
• Modernize the platform for efficiency and cost-effectiveness

📋 Requirements

• 8+ years of software engineering experience with Scala or Java in production
• 5+ years hands-on with the Kafka ecosystem
• Proven track record of designing resilient distributed systems
• Mastery of AWS ecosystem for handling large-scale data

✨ Nice to Have

• Experience with Flink or Spark streaming
• Knowledge of Lakehouse architecture
• Experience with Terraform and Kubernetes

🎁 Benefits & Perks

• 🏖️ Competitive salary and bonuses
• 🩺 Insurance coverage
• 🎓 Annual leave and referral rewards
• 🏆 Great Place to Work certified

📨 Hiring Process

Tech Round 1 (coding), Tech Round 2 (system design), Hiring Manager Meeting, Final Round with HR/Senior Leadership.

🚩 Heads Up

• Role seeks heavy hitting expert but lists 8+ years and 5+ years, which may be demanding
• No mention of salary range, requiring estimation