Spear AI

Cybersecurity Engineer - Senior

Bolling, AFB, DC · Senior · Full-time

Sponsorship not specifiedDetected 274 days ago

CybersecurityLeadershipCollaboration

About the role

Whether you're joining our Hardware, Software, or Services division, you'll work alongside talented professionals who are committed to excellence and advancing the capabilities that keep our nation safe and secure.
We're committed to equitable pay and will share a range aligned to your level and geography during the hiring process.
In accordance with state law, candidates in jurisdictions such as CA, CO, WA, NY, and others where applicable, will be provided a good-faith salary range upon request and through the hiring process.

As we grow, we're committed to building robust processes and infrastructure that support both our mission and our people.

Opportunity to work on real-world projects that directly impact warfighter capabilities and mission success.

for this position is provided on a salaried basis and is not subject to reduction based on hours worked.
At Spear AI, you'll find more than just a job-you'll join a mission-driven team where your work directly contributes to national security.
Our flat organizational structure means your voice matters, your ideas reach leadership, and your impact is visible.
As we grow, we're committed to building robust processes and infrastructure that support both our mission and our people.
We value collaboration, continuous improvement, and the expertise each team member brings to the table.
If you're looking for a place where you can grow professionally while working on projects that truly matter, we'd love to hear from you.
In accordance with state law, candidates in jurisdictions such as CA, CO, WA, NY, and others where applicable, will be provided a good-faith salary range upon request and through the hiring process.

We offer competitive compensation tailored to your experience, location, and the impact you'll make.

This listing is sourced directly from Spear AI's careers page and normalized into a canonical job model.