Ambatipelli Maniteja

Implemented cloud security policies across Azure, GCP, and AWS in accordance with CIS Benchmarks, NIST 800-53, and ISO 27001.
Enabled private network access controls on majority of cloud resources in Azure and GCP to curtail public exposure risks.
Achieved real-time asset visibility by integrating security tools across various workloads.
Integrated security tools into a centralized SOAR platform, streamlining alert triage and response workflows.
Strengthened overall cloud environment resilience by integrating native cloud security features.
Engineered GPT-powered solutions to streamline compliance documentation workflows, reducing manual tasks by 60%.
Established security measures within the SDLC, leading to a significant reduction in production environment incidents.
Enhanced cybersecurity awareness and response readiness through targeted training programs.

Enabled real-time visibility through deployment and management of CSPM tool across multiple cloud platforms.
Accelerated resolution times for security incidents through thorough root cause analysis and effective remediation efforts.
Authored detailed SOPs, incident response playbooks, and triage runbooks to standardize cloud security operations.
Developed ServiceNow dashboards and automated workflows for cloud access, enhancing request handling.
Researched and modeled sophisticated malware tactics to assess EDR and sandboxing capabilities.
Collaborated with cross-functional teams to test and improve cloud incident response procedures.
Created executive-level summaries, offering insights into cloud security trends and performance.

Experienced Automation Engineer specializing in building intelligent automation solutions to eliminate repetitive operational tasks. Skilled in Python, PowerShell, and SQL to design scalable automation frameworks and workflows. Developed machine learning–driven solutions to analyze ServiceNow (SNOW) incident tickets, automatically classify issues, map them to predefined automation flows, and execute remediation steps to resolve incidents without manual intervention. Proven ability to improve operational efficiency, reduce MTTR, and streamline IT support processes through AI-driven automation and workflow orchestration.