Hunters

Senior Software Engineer

Hunters

full-time

Posted on:

Origin:  • 🇮🇱 Israel

Visit company website
✨ AI Apply
Manual Apply

Job Level

Senior

Tech Stack

AWSCloudCyber SecurityDistributed SystemsJavaKubernetesPythonScalaSpark

About the role

  • Collaborate with a senior Agile Scrum team to design, develop, and maintain large-scale, cloud-based data processing pipelines and backend components.
  • Work with cutting-edge technologies including Spark, Kubernetes, AWS, and modern data lakes like Databricks and Snowflake.
  • Design and implement scalable, cost-effective solutions that deliver high performance and are easy to maintain.
  • Tackle complex, high-scale problems and drive performance optimization and cost-efficiency across the data pipeline.
  • Partner with engineers across Hunters' R&D and Product teams to enhance our platform and provide capabilities for internal and external users to build data transformations and detection pipelines at scale.
  • Build robust monitoring and observability solutions to ensure full visibility across all stages of data processing.
  • Stay current with trends in big data processing and distributed computing.
  • Contribute to code quality through regular reviews and adherence to best practices.

Requirements

  • 4+ years of experience as a Backend Engineer
  • 3+ years of hands-on experience in Scala/Python/JAVA and cloud architecture (EMR/K8S)
  • Deep technical expertise in distributed systems, stream processing, and data modeling of large data sets
  • Proven track record of delivering scalable, and secure systems in a fast-paced working environment
  • Experience with data governance practices, data security, and performance & cost optimization
  • Experience with containers and AWS services such as S3, EKS, and more
  • Strong problem-solving skills and ability to work independently
  • A team player with excellent communication skills
  • B.Sc. in computer science or an equivalent
  • Advantages: Experience in Big Data frameworks such as Spark
  • Advantages: Experience with modern Data lakes/warehouses such as Snowflake and Databricks
  • Advantages: Production experience working with SaaS environments
  • Advantages: Experience in data modeling