Job Description
Do you want to help make the world safe from cyber attack?
At Corelight, we believe that the best approach to cybersecurity risk starts with the network. Attackers can evade endpoint detection, firewalls and many other technologies - but they can’t avoid leaving digital footprints on the networks they traverse. Built on open-source innovations from Zeek, Suricata and YARA and refined through years of real-world use, Corelight transforms network footprints from physical, virtual and cloud networks into actionable insights. Our customers use these insights to speed incident response and proactively hunt for threats.
As a Lead Cloud Infrastructure Engineer / Site Reliability Engineer (SRE), you will ensure the stability, performance, and security of our Federal region’s cloud platform. You’ll manage infrastructure and operations with a focus on availability, latency, performance optimization, monitoring, incident response, and capacity planning. This role requires maintaining a FedRAMP-compliant environment and working closely with teams to meet the highest standards of security and compliance.
We adopt an “everything as code” approach, leveraging automation and best practices to create an efficient, reliable, and scalable infrastructure. You will be instrumental in maintaining core infrastructure services that are robust, secure, and capable of processing high volumes of data seamlessly.
The successful candidate must be a U.S. citizen and may need to perform work that the U.S. government has specified can only be carried out by a U.S. citizen on U.S. soil.
Responsibilities
- Collaborate with software engineering teams to ensure the reliability, performance, and security of the Federal region’s infrastructure.
- Design, deploy, and scale AI/ML/LLM infrastructure across cloud platforms (AWS, Azure, or GCP) ensuring high reliability and performance.
- Manage and optimize Kubernetes environments (EKS, AKS, GKE) for AI services, data pipelines, and model operations.
- Build and automate end-to-end data and model pipelines for fine-tuning, inference, and RAG workloads using Terraform, Python, and CI/CD tooling.
- Utilize automation tools such as GitOps, CI/CD pipelines, and containerization technologies (Docker, Kubernetes) to streamline ML/LLM tasks across the Large Language Model lifecycle.
- Implement monitoring, observability, and reliability best practices using Prometheus, Grafana, ELK/EFK, Langfuse, and SLI/SLO/SLA frameworks.
- Participate in 24x7 on-call rotations, leading incident response, performance tuning, and cost optimization across SaaS Platform and production workloads
- Own infrastructure end to end, leading scaling initiatives, deployments, and automation, and providing technical leadership across the team
Qualifications/Requirements:
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field, or equivalent experience.
- 8+ years in SRE, DevOps, Platform Engineering, MLOps, or Cloud Infrastructure roles.
- 4+ years of production experience with Kubernetes (EKS, GKE, AKS) and containerization tools like Docker.
- Strong programming skills in Python and proficiency in Zyphyrscript, Bash, Go, or PowerShell.
- Proficiency with Infrastructure-as-Code tools (Terraform, CloudFormation).
- Experience with Kubernetes Operators, Helm, GitOps (ArgoCD, Flux), or Service Mesh (Istio, Linkerd).
- Exposure to serverless compute (AWS Lambda, Azure Functions).
- Experience building or automating data and model pipelines for AI/ML/LLM workloads (e.g., RAG, fine-tuning, inference).
- Strong understanding of observability and monitoring using Prometheus, Grafana, ELK/EFK, Langfuse, or similar platforms.
- Familiarity with SLI/SLO/SLA practices, incident response, and reliability engineering in production environments.
Preferred Qualifications (Nice to Have):
- Cloud certifications (AWS, Azure, or GCP – e.g., Solutions Architect, DevOps Engineer).
- Experience with agentic AI frameworks (CrewAI, LangGraph, AutoGen).
- Background in hybrid or on-prem AI deployments, including OpenShift or Rancher.
- Familiarity with configuration management (Ansible, Chef, Puppet).
- Contributions to open-source AI/ML, DevOps, or platform tooling.
- Experience with multimodal AI or model observability platforms (RAGAS, AgentOps, Langtrace), Distributed Tracing, OpenTelemetry.
- Knowledge of performance tuning, cost efficiency, or capacity planning for AI/LLM infrastructure.
- Understanding of security controls and FedRAMP compliance for cloud and various workloads.
Additional Requirements
Due to the criteria and security levels required for Corelight’s FedRAMP program, this position requires:
- U.S. citizenship at the time of hire.
- Residence within the contiguous United States.
- Willingness to undergo a Single Scope Background Investigation, if required.
Fueled by investments from top-tier venture capital organizations such as Crowdstrike, Accel and Insight, Corelight is the fastest growing network detection and response platform in the industry. Our customers trust us to protect mission-critical assets in leading enterprises, government, and research institutions worldwide. We are leading the way with AI-assisted workflows, machine learning models, cloud security and SaaS-based solutions to arm defenders with the tools and knowledge they need to disrupt cyber attacks. Our team of passionate innovators are dedicated to solving some of the toughest challenges in cybersecurity, while fostering a collaborative, inclusive, and growth-oriented culture. Corelight is committed to a geographically distributed yet connected employee base with employees working from home and office locations around the world. At Corelight, we take pride in the diversity of our backgrounds and perspectives, and we are committed to fostering an inclusive environment that strengthens our company. By embracing a wide range of experiences, backgrounds, neurodiversity, talents, and approaches to problem-solving, we aim to create a workplace where everyone can thrive and contribute their best.
We are looking forward to meeting you. Check us out at www.corelight.com
Notice of Pay Transparency:
The compensation for this position may vary depending on factors such as your location, skills and experience. Depending on the nature and seniority of the role, a percentage of compensation may come in the form of a commission-based or discretionary bonus. Equity and additional benefits will also be awarded.
Compensation Range
$172,000—$219,000 USD
