01Responsibilities
What You Bring
- The Foundation: 4-6 years of experience in Backend Engineering with a deep mastery of Java SQL.
- Streaming Messaging: Hands-on experience with Apache Kafka (partitioning, consumer groups, and stream processing).
- In-Memory Stores: Hands-on experience with Aerospike (preferred) or Redis for managing high-concurrency, low-latency workloads.
- Cloud Big Data: Proven track record with GCP (BigQuery) or AWS, specifically in building cost-effective and performant data architectures.
- AI/ML Curiosity: Experience (or a strong technical foundation) in Generative AI and integrating ML models into production backend environments.
- The 'Scale' Mindset: You are comfortable working with Unix/Linux systems and have a high 'figure-it-out' quotient for complex, distributed system bugs.
- Self-Starter DNA: You don't need a hand-hold. You are a self-motivated individual contributor who thrives in an agile, fast-paced environment.
Required Skills:
- Performance Polyglot: Familiarity with C/C++ is a strong differentiator for low-latency optimization.
- AdTech/High-Volume Experience: Previous experience with Real-Time Bidding (RTB) or high-volume transaction systems.
- Documentation Savvy: Ability to write transparent design docs that explain complex technical trade-offs.
Disclaimer: This job posting & Location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying. .
