Opis oferty:

We’re building Astra Serverless, the next generation of distributed, scalable, fault-tolerant, serverless NoSQL data services — powered by Apache Cassandra and extended with native Vector and AI capabilities across multi-cloud environments. Our customers depend on our platform to serve real-time, mission-critical workloads on a global scale. Ensuring reliability, performance, and correctness under unpredictable workloads is a non-trivial challenge — and that’s where you come in. As an engineer on the Quality Engineering and Performance team, you’ll develop and evolve the system-level testing frameworks that validate a distributed database-as-a-service at massive AI-driven workload scale. You’ll help ensure that new features, performance improvements, and AI-driven extensions meet the highest standards of scalability and resilience. If you thrive on deep technical challenges, curiosity, analytical and systems thinking, and building tools other engineers rely on, this role will feel like home.

Wymagania:

• Exposure to system level Java and Python development in testing for distributed or cloud systems — replication, partitioning, consistency, and eventual convergence.
• Eagerness to learn more about and using chaos testing, fault injection, or resilience validation.
• Knowledge of analyzing complex logs and metrics to isolate performance and reliability issues.
• Familiarity with Linux, Kubernetes, Docker, and CI/CD pipelines (Jenkins, GitHub Actions, etc.).

Dodatki i korzyści:

• You’ll work at the intersection of distributed systems engineering and test architecture.
• Design and develop frameworks for end-to-end and chaos testing of distributed, serverless Cassandra-based systems.
• Collaborate closely with peers in local and remote feature development teams.
• Profile and tune distributed workloads to uncover systemic bottlenecks.