The posting
Role: Process Automation Lead
Job Level: 10 years of relevant experience
Duration: 12 Months
Required Skills :
- Integration with infrastructure and security devices
- Security design architecture and process.
- Splunk as a core SPL (Search Processing Language) and reporting
- Python Scripting for automation and troubleshooting.
Cloud security, monitoring, and compliance across AWS, Azure, Microsoft 365, and OCP.
Key Responsibilities:
As a Security Automation Leader, you will play acritical role in enhancing our cybersecurity posture through automation, data analytics, intelligent tooling, and cloud security engineering.
• Design, implement, and maintain distributed and clustered Splunk environments, ensuring seamless integration with infrastructure, security, and application platforms. • Drive security automation initiatives using Splunk, Python, APIs, dashboards, and AI-powered tools such as Copilot to improve operational efficiency. • Develop and maintain dashboards, alerts, reports, and automation workflows to support security monitoring, vulnerability management, and operational processes. • Optimize data ingestion, search performance, and platform availability to ensure a scalable and resilient Splunk environment. • Administer Splunk access controls, application deployments, upgrades, and platform configurations in accordance with security and compliance requirements. • Troubleshoot complex technical issues, perform root cause analysis, and document findings to support continuous improvement and knowledge sharing. • Support security engineering activities across AWS, Azure, Microsoft 365, and Open Shift Container Platform (OCP), including security monitoring, vulnerability management, and compliance initiatives. • Develop integrations between cloud security services, SIEM platforms, and security tooling to enhance visibility, automation, and operational effectiveness. • Collaborate with infrastructure, platform, and application teams to implement security controls and security-by-design practices across cloud and containerized environments.



