Sr. Forward Deployed Engineer

Re:Build Manufacturing

17h • Remote

About The Position

The IT Forward Deployed Engineer works within Re:Build’s IT team to design, develop, and deploy AI-enabled automation that simplifies IT operations and improves the end-user experience. The role applies AI, scripting, infrastructure as code, and intelligent workflow orchestration across IT domains to minimize manual work, reduce waste, improve operational execution and consistency, and accelerate delivery.

The engineer develops automation for IT service and operational processes, infrastructure provisioning and lifecycle workflows, AIOps, monitoring and recovery, application deployment, DevOps, cloud optimization, purchasing and asset management, and project intake and planning. The role also produces technical documentation, partners with IT leadership and cross-functional teams to identify and adopt automation opportunities, and collaborates with engineering and security teams to ensure systems meet availability, interoperability, performance, cybersecurity, and compliance needs.

This is a remote position with 25% expected travel. The role may be eligible for annual incentive compensation and/or long-term incentives, subject to Company plans. Re:Build offers a comprehensive benefits package. The company states that every employee shares ownership and participates in the financial rewards of company success.

Requirements

• Bachelor’s degree in Information Technology, Computer Science, Engineering, or equivalent professional experience.
• 10+ years of IT systems engineering experience across servers, networks, storage, cloud, databases, and end-user and endpoint management.
• Proficiency in Python or comparable programming technologies, with a strong foundation in API use and systems integration.
• Demonstrated experience with M365 or equivalent experience in the Microsoft ecosystem, such as on-premises/cloud environments, Azure, Entra, endpoint management, servers, Active Directory, and Intune.
• Demonstrated experience in hybrid, multi-forest, multi-tenant, and multi-cloud architectures.
• Ability to rapidly understand new or complex technical ecosystems and operational workflows and design appropriate integration approaches.
• Ability to work independently, exercise sound judgment, and deliver results amid evolving or ambiguous requirements.
• Experience collaborating with enterprise operational teams, particularly in manufacturing, quality, engineering services, or supply chain operations.
• Hands-on experience with large language models, generative AI pipelines, and agent-based automation frameworks, including tool orchestration and retrieval-augmented generation.
• Familiarity with AI-assisted IT operations tools, AIOps platforms, or LLM-based agents.
• Strong analytical and problem-solving skills, including the ability to interpret logs, metrics, traces, and other telemetry.

Nice To Haves

• Industry-leading certifications.
• Experience with infrastructure-as-code tools such as Terraform or Ansible and CI/CD pipeline automation.
• Familiarity with observability platforms, monitoring systems, SIEM/SOAR tools, and automated remediation frameworks.
• Experience supporting financial processes, purchasing workflows, asset management, or cloud cost optimization.
• Background in internal engineering, platform operations, or IT automation roles.
• Experience in regulated government environments, such as GCC High or AWS GovCloud.

Responsibilities

• Understand and analyze performance, scalability, availability, and security requirements.
• Develop AI-powered automations for Incident Management, Service Request Management, Problem Management, operational improvements, Knowledge Management, and other IT processes.
• Automate provisioning, configuration, patching, compliance, and lifecycle workflows across server, compute, storage, network, database, and endpoint environments.
• Implement AIOps capabilities to correlate alerts, identify patterns, predict failures, reduce noise, and perform automated remediation.
• Streamline monitoring, backup, recovery, archival, and application deployment processes through intelligent automation.
• Build and maintain infrastructure-as-code templates, testing workflows, and automated CI/CD pipelines using AI-assisted development tools.
• Support DevOps initiatives with automated validation, policy enforcement, deployment safeguards, and repeatable runbooks.
• Build AI-assisted cloud optimization workflows, including rightsizing, resource cleanup, forecasting, and tagging normalization.
• Automate workflows related to purchasing, budgeting, financial reconciliation, hardware lifecycle management, and software asset management.
• Improve project intake, planning, and prioritization through estimation, dependency analysis, and scheduling support.
• Produce automation guides, operational runbooks, architectural diagrams, and training materials.
• Partner with IT leadership and multifunctional collaborators to identify automation opportunities and drive organizational adoption.
• Collaborate with IT engineers and the security team to ensure systems are available, interoperable, performant, and compliant with cybersecurity and compliance requirements.
• Collaborate with and mentor team members where cross-team needs exist.
• Drive continuous improvement in all processes.

Benefits

• Medical benefits
• Dental benefits
• Vision benefits
• Retirement benefits
• Paid time off
• Other benefits
• Potential annual incentive compensation and/or long-term incentives, subject to Company plans
• Employee ownership and participation in the financial rewards of company success

What This Job Offers

• Job Type: Full-time
• Career Level: Senior