Full Stack Engineer

2 weeks ago

Petah Tikva, Central District, Israel PIPL Full time ₪120,000 - ₪180,000 per year

Pipl is the identity trust company. Our solutions allow organizations to provide frictionless customer experiences and approve more transactions with greater confidence and speed. We use multivariate linking to establish deep connections among more than 330 billion trust signals—email, mobile phone and social media data that spans the globe—and then look at the big picture to derive identity trust. Learn more at

We're looking for a Full Stack Engineer (Backend Oriented) to play a key role in our Search Engine Team. If you have a passion for responsibility along with algorithmic problem-solving and implementation, big-data challenges and wish to participate in building high-quality products, this one is for you

In your day-to-day life, you'll be leading, planning and developing our backend services - the heart of our product. Challenges can come in many shapes as an implementation of production-grade algorithms, monitoring, maintaining and improving existing ones, analyzing performance metrics, designing, and building heavy data processing using the latest big data tools, CI-CD, and cloud technologies.

Requirements:

  • 4+ years of experience developing large-scale distributed systems/infrastructure
  • Implementation/maintenance of complex platforms
  • Proficiency in Java – Must
  • Experience with OO languages such as Python or Kotlin – an advantage
  • Familiarity with frontend frameworks such as React – an advantage
  • A great individual contributor, able to present your vision and to work as part of a multidisciplinary task force.
  • Experience with Cloud Services (AWS, GCP, etc)
  • Experience working in a production environment (handling real-time traffic, troubleshooting, monitoring, incident management, etc.)
  • Excellent communication skills

Bonus points:

  • CI-CD pipelines such as GitHub action workflows
  • Hands-on experience with relational and/ or non-relational DBs: MySQL, Cassandra, ElasticSearch, Redis, MongoDB or similar

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