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Open nowFirst seen 4 hours ago

Infrastructure & Automation Engineer

gini-apps/66.00023 open roles

Where
Haifa
Work mode
Hybrid
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Your applicationOpen nowInfrastructure & Automation Engineergini-apps/66.000 · Haifa

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Share of postings closed within
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  2. 4.4%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: first seen 4 hours ago

The posting

A technology company developing a next-generation data acceleration platform is looking for an Infrastructure & Automation Engineer to be the first engineer in this area, building and maintaining the automation and infrastructure behind its core technology. This is a highly hands-on role with significant ownership and the opportunity to shape the foundations of the environment from the ground up.

Responsibilities:

  • Build robust automation frameworks for testing, validating, orchestrating, and releasing software.
  • Develop internal tools in Python to automate complex workflows, debugging, testing, and release processes.
  • Design and maintain CI/CD pipelines using GitHub Actions, ensuring every release meets high standards of correctness and performance.
  • Build monitoring and observability across distributed systems using Prometheus, Grafana, and CloudWatch.
  • Work hands-on with AWS and Kubernetes/EKS to build and operate scalable infrastructure.
  • Investigate complex system failures and performance issues across the application, container, cloud, and Linux layers.
  • Work closely with low-level systems and engineering teams, creating automated feedback loops that help drive system and hardware-level optimization.

Requirements

  • 6 years of experience in Software Development, QA Automation, DevOps, or Infrastructure Engineering in cloud or distributed environments.
  • Strong Python development skills, with experience building modular automation frameworks, tools, SDKs, or debugging systems.
  • Hands-on AWS experience, particularly with EMR, S3, and EC2.
  • Hands-on Kubernetes/EKS experience, including orchestration and networking.
  • Experience building and maintaining CI/CD and automated release pipelines.
  • Experience with observability and monitoring of distributed systems.
  • Strong Linux and CLI skills, with the ability to troubleshoot issues across OS, containers, and infrastructure.
  • Strong problem-solving skills and the ability to work independently in a technically challenging environment.

Advantages:

  • Experience with Apache Spark, Iceberg, or large-scale distributed data systems.
  • Background in performance testing, benchmarking, or systems optimization.
  • Experience working with low-level, hardware, or systems engineering teams.
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