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.

Based on 239 similar postings.

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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

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We are seeking a Senior Forward Deploy Engineer to join our dynamic and innovative team in Santa Clara. This role involves working closely with cross-functional teams to deploy and maintain cutting-edge software solutions at the customer site, ensuring seamless integration and optimal performance. Day-to-day responsibilities include troubleshooting complex issues, conducting on-site training for clients, and collaborating with product development teams to gather feedback and drive improvements. The ideal candidate should have extensive experience with Kubernetes, Docker, and cloud platforms like AWS or Azure, along with strong scripting skills in Python or Bash. Additionally, a deep understanding of networking protocols and security best practices is essential. This position plays a crucial role in supporting our rapidly growing enterprise-scale software products, addressing critical business needs and enhancing customer satisfaction.

What you'll do

Design and implement robust network solutions for forward-deployed environments.
Troubleshoot complex technical issues in real-time operational settings.
Ensure continuous monitoring and maintenance of deployed systems.
Develop contingency plans to mitigate risks in unstable operational areas.
Provide on-site training and support to end-users in remote locations.

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.
Proficiency in programming languages like Python, Java, or Go.
Experience with containerization technologies (Docker, Kubernetes).
Solid understanding of network protocols and security best practices.

Remote

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