Forward Deploy Engineer

IBM

Remote

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Work type
Remote
Location
Remote
Posted
11 days ago

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Similar $178k
$123k most similar roles pay here $233k

This listing doesn't post a salary. Most similar roles pay $134,000–$222,000.

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About IBM

IBM is a US-based global technology company providing hybrid cloud, AI, consulting, enterprise software, and IT infrastructure products and services.

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Listed pay typically runs $1,000,000–$1,000,000 across 9 roles with salary data.

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At a glance

TL;DR · Forward Deploy Engineer

We are seeking a Senior Forward Deploy Engineer to join our dynamic and innovative team in Chicago. This role involves working closely with customers to understand their technical challenges and requirements, then translating those needs into actionable solutions that enhance our product offerings. Day-to-day responsibilities include conducting on-site assessments, providing real-time technical support, and collaborating with internal teams to develop scalable and robust engineering solutions. Ideal candidates should have extensive experience with cloud platforms such as AWS or Azure, proficiency in scripting languages like Python or Bash, and a strong background in network security and infrastructure management. The position requires deep expertise in DevOps practices and continuous integration/continuous deployment (CI/CD) tools. This role is critical for addressing complex business problems at scale, ensuring our customers can leverage cutting-edge technology to drive their growth and innovation.

What you'll do

  • Design and implement advanced security solutions for forward-deployed systems.
  • Conduct thorough risk assessments to identify potential vulnerabilities.
  • Develop and maintain incident response plans for rapid threat mitigation.
  • Monitor network traffic and system logs for suspicious activities continuously.
  • Provide technical guidance on secure coding practices and architecture design.

What we're looking for

  • Minimum 3 years of experience in software engineering or a related field.
  • Strong background in cloud computing platforms such as AWS, Azure, or GCP.
  • Proficient in programming languages like Python, Java, or Go.
  • Experience with containerization technologies (Docker, Kubernetes).
  • Solid understanding of network protocols and security best practices.

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