Stellar Cyber

Stellar Cyber

Stellar Cyber provides Next Gen SIEM Security, Network Detection, and Response platforms with AI-driven threat analysis, empowering lean security teams to secure environments effectively.

Professional Services
51-250
Founded 2017
$80M raised

Description

  • Act as the primary escalation point for critical and high-impact customer issues.
  • Lead hands-on troubleshooting for complex break-fix scenarios across SIEM pipelines, log ingestion, parsing, and normalization.
  • Investigate and resolve issues involving network security, IDS/IPS, endpoint, and cloud telemetry.
  • Troubleshoot performance, scalability, and data integrity problems.
  • Participate in support ticket rotation, including on-call and weekend coverage.
  • Drive root cause analysis and ensure corrective and preventive actions are implemented.
  • Engage directly with customers during Severity 1 and other business-impacting incidents.
  • Set expectations, provide status updates, and lead incident resolution calls.
  • Work closely with Engineering, Product, DevOps, and SOC teams to resolve issues and improve operational readiness.
  • Assist with release validation, upgrades, and complex customer deployments.

Requirements

  • 5+ years of experience in technical support, systems engineering, or security operations.
  • Strong background in SIEM, cybersecurity, or large-scale observability platforms.
  • Deep understanding of SIEM architectures and log pipelines.
  • Knowledge of network protocols including TCP/IP, DNS, HTTP, and Syslog.
  • Experience with Linux systems, troubleshooting, and performance tuning.
  • Hands-on experience with log parsing and normalization using regex, JSON, CEF, and LEEF.
  • Experience with cloud platforms such as AWS, Azure, and GCP.
  • Experience with security technologies including firewalls, IDS/IPS, EDR, and IAM.
  • Strong troubleshooting skills across distributed systems.
  • Preferred: experience supporting enterprise or MSSP customers, SOC operations, or incident response.
  • Preferred: familiarity with Elasticsearch, Kafka, Kubernetes, or similar platforms.
  • Preferred: experience operating in 24×7 global support environments.

Benefits

  • Pre-IPO stock options.
  • Medical, dental, and vision coverage.
  • Life insurance.
  • 401(k) retirement plan.
  • Employee Assistance Program.
  • Employee Discount Program.
  • Paid time off.
  • Referral program.
  • Rewards and Recognition Program.

Interested in this position?

Apply directly on the company website

Apply Now

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