Senior IT Systems Engineer - Cloud & Kubernetes (Remote)

Lumen

Annapolis (MD)

Hybrid

USD 116,000 - 155,000

Full time

14 days+

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Benefits offered by this job

Health benefits
Life insurance
Voluntary lifestyle benefits

Job summary

Lumen is the trusted network for AI and enterprise connectivity, delivering secure, high-performance networking across cloud, edge, and AI workloads. This role is highly technical and hands-on, requiring leadership across multiple teams in design, integration, testing, and production deployment.

Expect a strong emphasis on security, performance, and scalable architectures. Ideal candidates have 5+ years of Linux systems engineering, 3+ years of Kubernetes and cloud experience, and 5+ years

Qualifications

  • 5+ years of current Linux systems engineering experience (RHEL, Rocky).
  • 3+ years of Kubernetes experience including Helm charts and deploying applications.
  • 3+ years with Google Cloud Platform or Amazon Web Services.
  • 5+ years Docker experience in deploying, managing, troubleshooting containers.
  • 3+ years with automation in Ansible, Puppet, or Chef.
  • Knowledge of network operations, security, encryption, and cross-domain solutions.
  • Able to work 24/7 for outages and maintenance windows.
  • Hybrid role with onsite presence once a week.
  • US Citizen with an active DoD Top Secret clearance.

Responsibilities

  • Lead and participate in system integration across design, analysis, testing, and validation.
  • Monitor, analyze, and resolve incidents for infrastructure in GCP and AWS.
  • Deploy, configure, and administer systems in GCP.
  • Support and troubleshoot Kubernetes clusters and containers.

Skills

Linux systems engineering
Kubernetes
Cloud platforms (GCP/AWS)
Docker
Automation (Ansible/Puppet/Chef)
Networking & security
Travel readiness
On-site weekly hybrid work
US Citizenship + DoD TS clearance

Tools

Kubernetes
Docker
VMware vSphere ESXi
Elasticsearch
Postgres
Google Cloud Platform
Amazon Web Services

Job description

Lumen is the trusted network for AI and enterprise connectivity, delivering secure, high-performance networking across cloud, edge, and AI workloads. This role is highly technical and hands-on, requiring leadership across multiple teams in design, integration, testing, and production deployment.

Expect a strong emphasis on security, performance, and scalable architectures. Ideal candidates have 5+ years of Linux systems engineering, 3+ years of Kubernetes and cloud experience, and 5+ years

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