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Principal Automation Engineer

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Hewlett Packard Enterprise

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Location:
India , Bangalore

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

We are seeking a Principal Automation Engineer to lead and drive innovation in automating detection, response, and security operations. This includes creating scalable automation frameworks for detection, incident response, and security workflows, leveraging technologies including SOAR, EDR, Machine Learning, and big data tools. The role also involves mentoring peers, collaborating with stakeholders, and continuously enhancing organizational resilience to cybersecurity threats.

Job Responsibility:

  • Drive the SOAR development lifecycle, in support of security operations and engineering teams
  • develop SOAR playbooks and logic
  • build integrations across SIEM, SOAR, EDR, identity platforms, and cloud-native services
  • write, test, and maintain automation scripts and workflows
  • deliver API solutions for SOC and enterprise Business Units
  • design and implement reusable automation services, APIs, and playbooks
  • maintain documentation for scripts, integrations, and workflows
  • debug and resolve technical issues in the automation lifecycle
  • apply advanced analytics, Machine Learning, and AI for security automation
  • partner with SOC/IR leadership and IT stakeholders to gather SOAR requirements and develop solutions
  • review the development of integrations and workflows to ensure anticipated outcomes

Requirements:

  • Bachelor’s or master’s degree in computer science, cybersecurity, data science, or related engineering field
  • proven experience (8+ years) in cybersecurity, with at least 3+ years in automation-focused roles
  • deep understanding of cybersecurity frameworks and concepts, including attack vectors, threat landscapes, and defence mechanisms
  • strong experience with SIEM/SOAR/ and EDR/XDR platforms and tools
  • experience in Machine Learning (ML) and Agentic AI applied for security use-cases
  • experience with anomaly detection, behavioural modeling, and predictive analytics in cybersecurity contexts
  • experience integrating machine learning models into security operations workflows in enterprise environments
  • proficiency in languages such as Python, Go, SPL, YaraL, and building automation frameworks
  • hands-on experience with big data technologies and cloud environments (AWS, Azure, GCP)
  • familiarity with regulatory requirements and compliance frameworks (e.g., GDPR, NIST, ISO 27001)
What we offer:
  • Health and wellbeing benefits
  • career development programs
  • unconditional inclusion
  • flexibility to manage work and personal needs

Additional Information:

Job Posted:
September 30, 2025

Employment Type:
Fulltime
Work Type:
On-site work
Job Link Share:

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