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Manager, Deployment Engineering at Armada - ApplyBlast

Manager, Deployment Engineering

Armada

4 months ago

4.0 on Glassdoor

Remote

Full Time

Senior

22 applicants

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About this role

The Manager of Deployment Engineering is a senior leadership role responsible for directing North American deployment operations for Armada's modular data center infrastructure. This position combines organizational leadership with technical authority to oversee the deployment, commissioning, and operational readiness of critical infrastructure across government and commercial environments. The individual will drive scalable operational standards, mentor engineering teams, and exercise independent judgment in field execution and incident response.

Responsibilities

Lead and scale Deployment Engineering organization
Establish operational standards and deployment readiness frameworks
Direct commissioning and infrastructure validation activities
Manage global incident response and operational escalations
Influence infrastructure architecture based on field intelligence

Skills

Qualifications

U.S. CitizenshipU.S. Security Clearance Eligibility10+ years mission-critical infrastructure experience5+ years leadership experience managing technical teamsExpertise in Controls/BAS and Low-voltage systems

About Armada

armada.ai

Headquarters

San Francisco, California, United States

Company Size

1-10 employees

Founded

2022

View Profile

Armada builds an edge computing platform that combines connectivity, on‑site compute hardware, and real‑world AI to solve hard problems where data is generated. Its product suite includes Atlas (enterprise monitoring and management for connected assets), Galleon (ruggedized mobile data centers), Marketplace (a hub for procuring and deploying edge hardware and software), and Bridge (software that turns GPU clusters into AI factories by providing unified GPU-as-a-Service management, orchestration, and scheduling). Armada serves industries such as oil & gas, mining, manufacturing, and the public sector, helping customers improve safety, increase automation, reduce downtime, and run reliable AI workloads in remote or harsh environments.