Cybersecurity Analyst: AI-Driven SOC & Threat Response

Teamified

Perth

On-site

AUD 90,000 - 130,000

Full time

14 days+

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Job summary

Teamified in Australia seeks a CyberSecurity Analyst to monitor, triage and respond to security events across diverse client environments. You will investigate incidents from SIEM and other tools, provide initial analysis, and implement containment actions to ensure rapid resolution.

The role also involves tuning detection rules, building playbooks, collaborating with clients and internal teams, and exploring AI-enabled tooling to enhance detection and response.

Qualifications

  • Strong analytical and problem-solving skills.
  • Excellent communication skills to convey technical concepts to both technical and non-technical stakeholders.
  • Knowledge of threat actor behaviour, tradecraft and the attack lifecycle.
  • Broad understanding of networking, infrastructure, and operating systems.
  • Highly organized, proactive, and able to prioritise and multi-task under pressure.

Responsibilities

  • Respond to and triage alerts quickly to reduce MTTR.
  • Monitor customer environments to improve detection speed and client confidence.
  • Tune and build alerting rules to minimize false positives and enhance accuracy.
  • Create clear documentation and playbooks to accelerate response workflows.
  • Engage with customers and manage escalations to improve satisfaction and trust.
  • Automate repetitive alert handling to increase efficiency.
  • Implement AI/ML solutions to lower MTTD and MTTR.
  • Continuously refine detection and automation models for reliable outcomes.

Skills

Analytical skills
Communication skills
Threat intel
Networking concepts

Tools

SIEM
AI tooling

Job description

Teamified in Australia seeks a CyberSecurity Analyst to monitor, triage and respond to security events across diverse client environments. You will investigate incidents from SIEM and other tools, provide initial analysis, and implement containment actions to ensure rapid resolution.

The role also involves tuning detection rules, building playbooks, collaborating with clients and internal teams, and exploring AI-enabled tooling to enhance detection and response.

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