Senior Software Engineer - Hiredscore

Workday Workday · Enterprise · Tel Aviv, Israel

This role is for a Senior Software Engineer on the Connect Team within Core Engineering at Workday Israel. The team focuses on designing and implementing cutting-edge architecture for integration layers, handling large-scale clients and data, and ensuring the retrieval of HR data through deep integration capabilities. The role involves working with Python, Kubernetes, MongoDB, and Celery, and aims to find the best candidates for roles and vice versa.

What you'd actually do

  1. Being responsible for the lifeblood of the HR data which is retrieved by our outstanding and deep integration capabilities.
  2. Learn new technologies and software standard processes from a group of people who are passionate about it.
  3. Crafting architecture and tools for the integration layer with the outside world.
  4. Taking features from definition to client delivery with quality demands and understanding the complexities from top to bottom.
  5. Deep integration with sophisticated systems requiring creative out-of-the-box solutions

Skills

Required

  • Python
  • Kubernetes
  • CI/CD pipelines
  • API integration
  • message brokers/queuing systems
  • Celery
  • RabbitMQ
  • Kafka
  • system architecture
  • design patterns
  • SQL
  • NoSQL
  • MongoDB
  • PostgreSQL
  • AI coding assistants

Nice to have

  • Big Data
  • Data Pipeline tech
  • Airflow
  • Spark
  • ETL

What the JD emphasized

  • 5+ years of professional experience with Python or equivalent backend language
  • Proven experience with Kubernetes (K8s) and modern CI/CD pipelines
  • Hands-on experience integrating third-party APIs and working with modern message brokers/queuing systems (e.g., Celery, RabbitMQ, Kafka)
  • Solid understanding of system architecture, design patterns, and building for scale
  • Proficiency with AI coding assistants (e.g., GitHub Copilot, Cursor, Claude Code) to drive development efficiency
  • Strong database experience with SQL and/or NoSQL (e.g., MongoDB, PostgreSQL)
  • Hands-on with Big Data and Data Pipeline tech (Airflow, Spark, Kafka, etc.)
  • ETL (building data pipelines) experience