Lumen Technologies

Lumen Technologies

Lead IT Systems Engineer - Public Sector

WORKS FROM HOME, Maryland, USA

No sponsorship$116k-$155kDetected 5 days ago
PythonBashPostgreSQLElasticsearchAWSGCPCloud PlatformsDockerKubernetesAnsibleHelmLinuxCybersecurityNegotiationSystems Engineering

About the role

  • We're transforming how businesses connect, secure, and scale in an AI-driven world.
  • By connecting people, data, and applications quickly, securely, and effortlessly, we help organizations move faster and unlock what's next.
  • We're looking for top-tier talent ready to take on the challenge.

Responsibilities

  • With real support and shared accountability, teams collaborate better, move faster, and deliver meaningful outcomes.
  • Our Lumen 8 behaviors guide how we interact, make decisions, and work together, shaping a culture built to perform and win.

Skills

  • Individual pay is based on skills, experience and other relevant factors.

Compensation

  • $116k-$155k

Benefits

  • We're able to answer any additional questions you may have about our bonus structure (short-term incentives, long-term incentives and/or sales compensation) as you move through the selection process.
  • We do not tolerate unlawful discrimination in any employment decisions, including recruiting, hiring, compensation, promotion, benefits, discipline, termination, job assignments or training.
  • Benefits Bonus Structure #LI-Remote Requisition #: 342579 Life at Lumen Life at Lumen is human and connected, even in a fast moving, AI‑focused organization.

Company info

  • Our culture is built on teamwork, trust, and transparency, giving you the flexibility, support, and opportunity to make a lasting impact.

Visa & Work Authorization

  • problems •Ability to travel •Hybrid role where the candidate will need to be onsite once a week Candidate must be a US Citizen with an active Department of Defense TOP SECRET clearance Compensation This information refle

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