Participate in the full life-cycle of tool development, test, and deployment of web applications and services for test automation and chip verification.
Develop and optimize real-time data processing pipelines using Kafka Streams, Apache Flink and Spark Streaming, ensuring high throughput, reliability, and low-latency performance.
Collaborate closely with hardware engineering and chip verification teams to understand data requirements and deliver robust, scalable data solutions and UIs
Establish optimal guidelines for streaming data architecture, schema management, data retention and platform observability (monitoring, logging, tracing).
Build microservices and AI agents that are reliable, scalable, and maintainable.

Requirements

Proven in-depth knowledge of Java and Python.
Knowledge of JavaScript/TypeScript and front-end frameworks (e.g., Ember.js, Vue.js) for building data visualization tools.
Expertise in designing and building distributed systems and microservices.
Deep understanding of Apache Kafka and proven experience building applications with Kafka Streams, Apache Flink or other event driven data pipelines.
Detailed knowledge of distributed systems principles, concurrency, data structures, and algorithms.
Deep understanding of the scalable data caching solution, specifically Redis
Excellent planning, presentation, and communication skills.
Familiarity with Linux ecosystems (including development and debugging tools).
BS/MS in Computer Science or related field (or equivalent experience), with 8+ years of experience for BS holders or 5+ years for MS holders.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

JavaPythonJavaScriptTypeScriptKafka StreamsApache FlinkSpark StreamingmicroservicesRedisdata structures

Soft Skills

planningpresentationcommunication

Certifications

BS in Computer ScienceMS in Computer Science