Lead Site Reliability Engineer

The Role

Location

• This role is designated as a fully remote position within the United States.

The Main Responsibilities

• Reliability & Observability Serve as subject matter expert for network automation platform applications, services, and hosting environments Build and maintain the observability stack: instrument services, collect and curate metrics, and create dashboards and visualizations that make system health obvious at a glance Define and tune proactive alerting so issues surface before customers feel them Champion core SRE principles — SLIs, SLOs, and error budgets — and advocate for resilient, fault tolerant architecture
• Serve as subject matter expert for network automation platform applications, services, and hosting environments
• Build and maintain the observability stack: instrument services, collect and curate metrics, and create dashboards and visualizations that make system health obvious at a glance
• Define and tune proactive alerting so issues surface before customers feel them
• Champion core SRE principles — SLIs, SLOs, and error budgets — and advocate for resilient, fault tolerant architecture
• Incident Management Participate in an on-call rotation and lead incident response for service outages and unplanned downtime Drive blameless postmortems and root cause analysis; own follow-up actions through to completion Prevent recurrence through process improvements, tooling, and knowledge sharing across teams
• Participate in an on-call rotation and lead incident response for service outages and unplanned downtime
• Drive blameless postmortems and root cause analysis; own follow-up actions through to completion
• Prevent recurrence through process improvements, tooling, and knowledge sharing across teams
• Automation & Infrastructure Automate deployment pipelines (CI/CD) and cloud infrastructure provisioning, scaling, and configuration using infrastructure as code Develop tools and utilities that reduce toil and empower operations and development teams to manage services independently Apply AI-assisted and agentic workflows to development, support, and investigation work
• Automate deployment pipelines (CI/CD) and cloud infrastructure provisioning, scaling, and configuration using infrastructure as code
• Develop tools and utilities that reduce toil and empower operations and development teams to manage services independently
• Apply AI-assisted and agentic workflows to development, support, and investigation work
• Collaboration & Leadership Collaborate with cross-functional development teams to support, enhance, and scale NaaS applications Provide guidance and mentorship to junior engineers Maintain clear documentation for processes and architecture
• Collaborate with cross-functional development teams to support, enhance, and scale NaaS applications
• Provide guidance and mentorship to junior engineers
• Maintain clear documentation for processes and architecture

What We Look For in a Candidate

• Required Qualifications:
• Bachelor’s degree or equivalent in engineering, computer science, or related field.
• 8+ years in software development, systems engineering, and/or networking
• 5+ years of related experience required.
• Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP), including compute, networking, and identity services
• Strong automation and infrastructure-as-code skills: Terraform, Ansible, and Python
• Experience running containerized workloads on Kubernetes
• Working knowledge of modern observability and monitoring tooling (e.g., Datadog, CloudWatch, Grafana, Prometheus), including building dashboards and defining alerts
• Demonstrated experience with incident management and blameless postmortems
• Comfort using AI-assisted development and agentic tools as part of daily engineering practice
• Understanding of network technologies including Internet, Ethernet, IPVPN, Edge Compute, and Optical transport
• Strong listening and communication skills; able to operate with autonomy while knowing when to escalate
• Preferred Qualifications:
• Multi-cloud experience across AWS, Azure, and GCP
• Asynchronous programming concepts and distributed systems design
• Zero-downtime deployment strategies
• High availability and multi-region architectures
• Source control and CI/CD practices at scale
• Experience applying agentic workflows to operational support and investigation

Compensation

• Bonus Structure
• #LI-Remote
• #LI-VK1
• Requisition #: 343429
• Life at Lumen
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• Disclaimer
• The job responsibilities described above indicate the general nature and level of work performed by employees within this classification. It is not intended to include a comprehensive inventory of all duties and responsibilities for this job. Job duties and responsibilities are subject to change based on evolving business needs and conditions.
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