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Sr. Software Engineer- Core Team - DoubleVerify

  • חברה: DoubleVerify
  • מיקום: Tel Aviv-Israel
  • טכנולוגיות: Kafka, Kubernetes, Databricks, Scala, TypeScript, Python, Docker, SQL, GCP, AWS

תיאור המשרה

Design cloud-native solutions using Kafka, Kubernetes, and Databricks. Develop in Scala (server-side), TypeScript (client-side/tools), and Python. Build CI/CD pipelines for robust cloud delivery. Scale big data solutions and maintain high-traffic codebases. Own end-to-end service health, including real-time monitoring and alerts. Utilize AI coding tools to accelerate all stages of the SDLC. Proactive ownership and a "getting things done" mindset. BSc in Computer Science or equivalent. Strong communication skills and CS fundamentals. 5+ years experience in JS/TS, Scala, Java, Python, or Go. JS/TS experience - advantage. Experience with Docker, Kubernetes, SQL, and cloud (GCP/AWS). Proficiency in leveraging AI tools (Cursor,Claude, etc.) as a productivity multiplier Our interview process reflects how we work. Candidates are encouraged to use AI tools during technical assessments. We evaluate problem-solving, code quality, and how effectively you leverage modern tooling , not whether you can solve algorithmic puzzles from memory.

תחומי אחריות

Design cloud-native solutions using Kafka, Kubernetes, and Databricks. Develop in Scala (server-side), TypeScript (client-side/tools), and Python. Build CI/CD pipelines for robust cloud delivery. Scale big data solutions and maintain high-traffic codebases. Own end-to-end service health, including real-time monitoring and alerts. Utilize AI coding tools to accelerate all stages of the SDLC.

דרישות

Design cloud-native solutions using Kafka, Kubernetes, and Databricks. Develop in Scala (server-side), TypeScript (client-side/tools), and Python. Build CI/CD pipelines for robust cloud delivery. Scale big data solutions and maintain high-traffic codebases. Own end-to-end service health, including real-time monitoring and alerts. Utilize AI coding tools to accelerate all stages of the SDLC. Proactive ownership and a "getting things done" mindset. BSc in Computer Science or equivalent. Strong communication skills and CS fundamentals. 5+ years experience in JS/TS, Scala, Java, Python, or Go. JS/TS experience - advantage. Experience with Docker, Kubernetes, SQL, and cloud (GCP/AWS). Proficiency in leveraging AI tools (Cursor,Claude, etc.) as a productivity multiplier Our interview process reflects how we work. Candidates are encouraged to use AI tools during technical assessments. We evaluate problem-solving, code quality, and how effectively you leverage modern tooling , not whether you can solve algorithmic puzzles from memory.