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

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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 Atlanta. This role involves working closely with customers to understand their technical challenges and requirements, then translating those needs into actionable solutions that enhance product functionality and usability. Day-to-day responsibilities include conducting on-site customer assessments, providing real-time technical support, and collaborating with internal teams to integrate feedback into product development cycles. The ideal candidate 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. Additionally, familiarity with CI/CD pipelines and containerization technologies is highly desirable. This position plays a crucial role in driving the adoption of our cutting-edge software solutions across diverse industries, ensuring seamless integration and maximum impact for enterprise clients.

What you'll do

  • Design and implement secure network configurations for forward-deployed systems.
  • Monitor system performance to ensure continuous operational readiness.
  • Conduct regular security audits and vulnerability assessments on deployed networks.
  • Troubleshoot and resolve technical issues in real-time operational environments.
  • Provide training and support to end-users on secure communication protocols.

What we're looking for

  • Minimum 3 years of experience in software development and deployment.
  • Proficient in cloud technologies such as AWS or Azure.
  • Strong background in DevOps practices and CI/CD pipelines.
  • Experience with containerization tools like Docker and Kubernetes.
  • Excellent problem-solving skills and ability to work independently.

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