
Cybersecurity ⢠Artificial Intelligence ⢠Enterprise
Stellar Cyber is a company that provides an automation-driven security operations platform seamlessly integrating next-generation SIEM, Network Detection and Response (NDR), and Open Extended Detection and Response (XDR). Their platform utilizes advanced AI to quickly detect and correlate cybersecurity threats across various security tools, offering comprehensive threat intelligence and automated incident response to enhance security operations for enterprises, MSSPs, and MSPs. With a focus on reducing security operation costs and improving threat response times, Stellar Cyber helps organizations protect their entire attack surface, including on-premises, cloud, and IT/OT environments.
- employees
đ Cybersecurity
đ¤ Artificial Intelligence
đ˘ Enterprise
đ° $38M Series B on 2021-11
August 20
AWS
Azure
Cloud
Cyber Security
Distributed Systems
ElasticSearch
Google Cloud Platform
Grafana
Kafka
Kubernetes
Linux
MongoDB
Prometheus
Python
Redis
Spark
Terraform

Cybersecurity ⢠Artificial Intelligence ⢠Enterprise
Stellar Cyber is a company that provides an automation-driven security operations platform seamlessly integrating next-generation SIEM, Network Detection and Response (NDR), and Open Extended Detection and Response (XDR). Their platform utilizes advanced AI to quickly detect and correlate cybersecurity threats across various security tools, offering comprehensive threat intelligence and automated incident response to enhance security operations for enterprises, MSSPs, and MSPs. With a focus on reducing security operation costs and improving threat response times, Stellar Cyber helps organizations protect their entire attack surface, including on-premises, cloud, and IT/OT environments.
- employees
đ Cybersecurity
đ¤ Artificial Intelligence
đ˘ Enterprise
đ° $38M Series B on 2021-11
⢠Administer and maintain container orchestration platforms and containerized workloads. ⢠Monitor and troubleshoot production systems, participating in on-call rotations to ensure reliability. ⢠Drive observability improvements by enhancing monitoring, logging, and alerting capabilities across systems and data platforms. ⢠Administer and optimize cloud-based environments across multiple providers. ⢠Manage and support distributed data platforms and real-time processing systems. ⢠Develop and maintain continuous integration and delivery pipelines for efficient and reliable deployments. ⢠Own and implement Infrastructure as Code (IaC) practices to ensure consistency and scalability. ⢠Automate and orchestrate infrastructure using programming and scripting languages. ⢠Perform system administration and networking tasks to support internal and external environments. ⢠Collaborate effectively with engineers and stakeholders across different time zones.
⢠5+ years of experience in Site Reliability Engineering, DevOps, or Platform Engineering roles. ⢠Proven success leading large-scale production systems in cloud environments (AWS, GCP, Azure, or OCI). ⢠Demonstrated leadership in driving incident response, on-call best practices, and reliability-focused culture. ⢠Strong experience with production on-call operations and incident management. ⢠Advanced proficiency in Kubernetes administration and troubleshooting. ⢠Hands-on experience with observability tools: Prometheus, Grafana, Loki, and Alertmanager. ⢠Expertise in operating data platforms (Elasticsearch, MongoDB, Spark, Kafka, Redis). ⢠Proficiency with public cloud services (AWS, Azure, GCP, or OCI). ⢠Strong programming and automation skills in Python and Bash. ⢠Deep understanding of Infrastructure as Code (Terraform, Helm). ⢠Experience with CI/CD pipelines (GitHub Actions, Bitbucket, ArgoCD). ⢠Strong technical background in distributed systems, databases, networking, and Linux administration. ⢠Excellent problem-solving, communication, and leadership abilities. ⢠Bachelor's degree in Computer Science, Engineering, or a related technical field. ⢠Certifications in AWS, GCP, Observability, Linux or Kubernetes are a plus.
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