Description

You will build and optimize platform services at scale.

This role is on-site.

Responsibilities

• Apply performance optimization techniques to improve latency, throughput, and resource usage.
• Build services and workflows that integrate with Google Cloud Dataproc (Spark/Hadoop).
• Write efficient, testable code with performance considerations built into the design.
• Use APM and observability tools (e.g., DataDog, Prometheus, Grafana) for diagnostics.
• Collaborate with performance engineers, SREs, and DevOps teams.

Required Skills

• 7+ years of experience in performance engineering and backend development.
• Strong experience in Java, including JDK internals, GC tuning, and thread/heap analysis.
• Proficiency in Python and/or Scala for scripting or data processing.
• Hands-on experience with profiling tools like YourKit, JFR, or VisualVM.
• Solid understanding of DevOps concepts, CI/CD, and system monitoring.
• Experience with Terraform and managing cloud-based test environments.
• Hands-on experience with Google Cloud Platform (GCP) services.
• Experience with load testing tools like Locust or similar.
• Strong debugging and system-level problem-solving skills.

Key Skills

Education

Any Gradute