Axle

Axle

IT Operations Technical Lead

Frederick, MD

Sponsorship not specifiedDetected 104 days ago
PythonBashPowerShellGitAWSGCPAzureCloud PlatformsKubernetesTerraformAnsibleCI/CDJenkinsLinuxPrometheusGrafanaSite Reliability EngineeringMachine LearningData ScienceCybersecurityIncident ResponseAccessibilityTCP/IPDNS

About the role

  • We work with some of the top research organizations and facilities in the country including multiple institutes at the National Institutes of Health (NIH).
  • This role combines hands-on technical leadership with ITIL-based operations, automation, and incident management.
  • The ideal candidate brings deep Linux expertise and a focus on reliability, scalability, and modern workloads like AI/ML.

Responsibilities

  • Lead and manage IT operations aligned with ITIL processes including Incident, Problem, Change, and Release Management
  • Own and drive incident response, root cause analysis, and service restoration for mission-critical systems
  • Design, build, and maintain golden images, patching strategies, and system hardening standards
  • Lead patch management and vulnerability remediation programs ensuring compliance and system integrity
  • Develop and implement automation solutions using modern approaches including Vibe Coding (AI-assisted development) to accelerate operational efficiency and reduce toil
  • Support and optimize infrastructure for AI/ML workloads, including provisioning, scaling, and performance tuning
  • Oversee and optimize infrastructure monitoring, logging, alerting, and observability frameworks
  • Manage and mentor a team of systems engineers
  • Collaborate with architecture, security, and development teams to improve reliability, scalability, and operational efficiency
  • Manage and mentor a team of systems engineers; provide technical guidance and performance oversight

Requirements

  • Must have 5+ years of experience leading operations team with hands-on experience in driving operational process improvements and technological advancements.
  • Proven experience implementing and operating within ITIL frameworks
  • Must have 10+ years of hands-on Unix/Linux experience that includes specific technical experience with CentOS / Red Hat systems administration support for large scale distributed environments
  • Hands-on experience with incident management, patching, system hardening, and production support
  • Experience with configuration management and automation tools (Ansible, Terraform, Puppet, Chef, or similar)
  • Strong understanding of networking fundamentals (DNS, TCP/IP, firewalls, load balancing)
  • Experience with monitoring and logging tools (e.g., Nagios, Splunk, ELK, Prometheus, Grafana)
  • Must have Cloud Build-Out or Migration experience in at least one of the following providers Amazon AWS, Google GCP and Microsoft Azure
  • Must have 2+ years with CI/CD and automation tools such as Terraform, Ansible, Chef, Puppet, Jenkins, GitHub
  • Experience supporting AI/ML workloads or data-intensive platforms

Nice to have

  • Knowledge of security best practices and compliance frameworks such as NIST 800-53, FedRAMP, FISMA etc. are preferred
  • Certifications such as ITIL, Linux, AWS, Azure, or Kubernetes (CKA/CKAD) is preferred
  • Networking certifications (CCNA/CCNP) are a plus

Skills

  • Healthcare (FSA)
  • Parking Reimbursement Account (PRK)
  • Dependent Care Assistant Program (DCAP)
  • Transportation Reimbursement Account (TRN)

Compensation

  • $150,000 - $170,000 USD
  • This role has a market-competitive salary with an anticipated base compensation range listed below.

Benefits

  • 100% Medical, Dental & Vision Coverage for Employees
  • Paid Time Off and Paid Holidays
  • Educational Benefits for Career Growth
  • Employee Referral Bonus
  • Manage and maintain GPU-enabled environments and instances for high-performance computing and machine learning use cases

Equal opportunity

  • If you need an accommodation as part of the employment process please contact: careers@axleinfo.com

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