Engineering Manager

About the role

About the Company

Armada is the hyperscaler for the edge, delivering modular AI infrastructure from first deployment to AI factory with speed, scale and sovereignty. Named one of Fast Company's Most Innovative Companies and to the CNBC Disruptor 50, Armada’s solutions are deployed in over 60 countries globally for organizations ranging from energy to defense.

With nearly $500 million in funding to date, Armada is backed by leading investors including Founders Fund, Lux, BlackRock and Microsoft (M12), alongside strategic partnerships with Microsoft, Dell, Palantir, NVIDIA, SpaceX, and Skydio. We are building the infrastructure layer for sovereign and edge AI - rugged, deployable compute for customers that cannot rely on centralized cloud.

Working at Armada means taking ownership, driving autonomy, and delivering impact. You’ll tackle challenges that haven’t been solved before and help build something transformative from the ground up. What you do here will not only define your career but help further Armada’s mission to bridge the digital divide for customers around the world.

About the Role

We are seeking a highly skilled and motivated Engineering Manager to join us. As an Engineering Manager, you will play a crucial role in leading and managing our talented team of software engineers to deliver high-quality software products that meet the needs of our customers. If you are a highly motivated individual with a passion for cutting-edge AI, cloud, edge, and infrastructure technology and are ready to take on the challenge of defining and delivering a new computing and AI platform, we would love to hear from you.

Location. This role is office-based at our Bellevue, Washington office.

What You'll Do (Key Responsibilities)

- Lead and manage a team of software engineers, providing guidance, support, and mentorship to foster a collaborative and high-performing environment building AI solutions.

- Collaborate with product managers and stakeholders to define project requirements, scope, and timelines for deploying AI infrastructure across data centers spanning different modular and other on-premise form factors.

- Develop and execute project plans, ensuring successful on-premise deployment and orchestration of Sovereign AI stack.

- Foster a culture of innovation, continuous learning, and best practices within the engineering team.

- Drive the adoption and implementation of cloud computing best practices, including infrastructure as code, automation, and continuous integration/continuous deployment (CI/CD).

- Ensure adherence to security and compliance standards, implementing robust security measures to protect sensitive data and systems.

- Monitor and analyze cloud infrastructure performance, capacity, and costs, proactively identifying opportunities for optimization and improvement.

- Collaborate closely with cross-functional teams, including product management, design, and QA, to align engineering goals with overall business objectives.