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 Lead Cloud Infrastructure Engineer / Site Reliability Engineer (SRE)** image - Rise Careers
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Lead Cloud Infrastructure Engineer / Site Reliability Engineer (SRE)**

Corelight builds network-based detection and response platforms using open-source innovations (Zeek, Suricata, YARA) to convert network telemetry into actionable threat insights. We are seeking a Lead Cloud Infrastructure Engineer / Site Reliability Engineer to own the Federal region cloud platform, maintain FedRAMP compliance, and lead reliability, performance, and security efforts for Kubernetes-based AI/ML/LLM workloads through automation and infrastructure-as-code.

Skills

  • Production Kubernetes experience (EKS, GKE, AKS)
  • Containerization with Docker
  • Strong programming in Python; familiarity with Go, Bash, or PowerShell
  • Infrastructure-as-Code (Terraform, CloudFormation)
  • CI/CD and GitOps workflows (ArgoCD, Flux)
  • Observability and monitoring (Prometheus, Grafana, ELK/EFK, Langfuse)
  • SLI/SLO/SLA design and incident response practices
  • Experience building/automating AI/ML/LLM pipelines (RAG, fine-tuning, inference)
  • Familiarity with FedRAMP and cloud security controls
  • Experience with Kubernetes Operators, Helm, and service mesh technologies

Responsibilities

  • Ensure stability, availability, performance, and security of the Federal region cloud platform
  • Design, deploy, and scale AI/ML/LLM infrastructure across cloud platforms (AWS/Azure/GCP)
  • Manage and optimize Kubernetes clusters (EKS, AKS, GKE) and containerized workloads
  • Build and automate end-to-end data and model pipelines for fine-tuning, inference, and RAG workloads using Terraform, Python, and CI/CD
  • Implement observability and monitoring solutions (Prometheus, Grafana, ELK/EFK, Langfuse) and define SLI/SLO/SLA frameworks
  • Lead incident response, participate in 24x7 on-call rotations, and drive post-incident improvements
  • Own infrastructure end-to-end: scaling initiatives, deployments, automation, and cross-team technical leadership
  • Drive cost optimization, capacity planning, and performance tuning for AI/LLM infrastructure
  • Collaborate with engineering and security teams to maintain FedRAMP compliance and security controls

Education

  • Bachelor's or Master's in Computer Science, Engineering, or related field, or equivalent experience
  • Relevant cloud or security certifications are a plus

Benefits

  • Competitive base salary with discretionary bonus potential
  • Equity grants
  • Comprehensive health, dental, and vision benefits
  • 401(k) or retirement plan
  • Flexible / remote-friendly work environment
  • Paid time off and parental leave
  • Professional development and conference support
  • Inclusive and collaborative company culture
To read the complete job description, please click on the ‘Apply’ button

Average salary estimate

$193500 / YEARLY (est.)
min
max
$172000K
$215000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

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FUNDING
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
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HQ LOCATION
No info
SALARY RANGE
$172,000/yr - $215,000/yr
EMPLOYMENT TYPE
Full-time, remote
DATE POSTED
April 23, 2026
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