SOAR & JIRA Development Engineer

SOAR Automation Engineer

Design, develop, and maintain SOAR playbooks and automation workflows.

Integrate SOAR platforms with JIRA (Cloud/Data Center) for seamless operations.

Automate ticket creation, updates, and lifecycle management within JIRA.

Enable bi-directional synchronization between security incidents and JIRA tickets.

Develop and maintain scripts using Python, JavaScript, or Groovy for automation and data processing.

Build and maintain integrations using REST APIs across security and IT tools.

Implement JIRA workflow customizations and automation rules to support operational processes.

Apply AI/ML techniques to enhance alert triage, prioritization, incident classification, and noise reduction.

Collaborate with Security Operations, DevOps, and IT teams to streamline incident response processes.

Monitor, troubleshoot, and optimize automation performance.

Document playbooks, workflows, integration logic, and system configurations.

Required Skills And Qualifications:

3+ years of experience with SOAR platforms such as Cortex XSOAR, Splunk SOAR, or IBM Resilient.

Strong hands-on experience in SOAR playbook development and automation workflows.

Proficiency in Python, JavaScript, or Groovy scripting.

Experience integrating SOAR platforms with JIRA using REST APIs and automation rules.

Good understanding of JIRA workflows, configurations, and issue lifecycle management.

Strong experience with RESTful APIs and system integrations.

Solid understanding of cybersecurity operations including incident response, threat intelligence, and alert triage.

Basic to intermediate knowledge of AI/ML concepts and their practical application in security automation.

Preferred Qualifications:

Experience customizing JIRA workflows, automation rules, and tools like ScriptRunner.

Familiarity with SIEM tools such as Splunk, QRadar, or Microsoft Sentinel.

Exposure to AI/ML frameworks such as scikit-learn, TensorFlow, or cloud-based AI services.

Experience with cloud platforms including AWS, Azure, or Google Cloud Platform (GCP).

Knowledge of DevOps tools and CI/CD pipelines.

Exposure to LLMs or Generative AI use cases in automation.

Key Competencies:

Strong problem-solving and analytical skills.

Ability to design scalable automation solutions.

Effective collaboration with cross-functional teams.

Strong documentation and communication skills.

Continuous learning mindset with interest in emerging technologies like AI and automation.