Forward Deploy Engineer

IBM

Remote

Quick summary

Work type
Remote
Location
Remote
Posted
12 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.

IBM currently has 683 open roles on FindRole.

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 Raleigh, NC. 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 integrate customer 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. This position requires deep expertise in DevOps practices and the ability to navigate complex enterprise environments, making it crucial for someone who thrives on solving intricate technical problems at scale.

What you'll do

  • Design and implement secure software solutions for forward-deployed environments.
  • Optimize system performance in remote and resource-constrained settings.
  • Conduct thorough security assessments of deployed systems regularly.
  • Troubleshoot complex technical issues in real-time operational scenarios.
  • Develop automation scripts to streamline deployment and maintenance processes.

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.
  • Familiarity with scripting languages (Python, Bash) for automation tasks.

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