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Security Engineer - Cloud Automation & Telemetry

Location:
Princess Anne, MD, 21853
Posted:
March 29, 2026

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Resume:

Maryland USA C: 443-***-**** *********@*****.***

www.linkedin.com/in/sharaf-s-143547320

Professional Summary

Security Engineer with deep experience in back end automation, cloud security, and enterprise scale telemetry systems. Skilled in building Python based tooling, supporting distributed platforms, and troubleshooting complex hybrid cloud environments. Adept at analyzing data flows, optimizing detection pipelines, and improving system reliability through automation and engineering best practices. Known for cross team collaboration, clear documentation, and contributing to platforms that support mission critical security operations.

Core Competencies

Back End Engineering • API Integrations • Automation

Python • Bash • PowerShell

AWS (Security Hub, EC2, S3, IAM) • Azure Security Services

Distributed Systems • Telemetry Pipelines • Event Driven Workflows

Log & Telemetry Analysis • Data Processing

CI/CD Concepts • Cloud Native Troubleshooting

Agile Collaboration • Documentation • Architecture Diagrams

Technical Skills

Languages: Python, Bash, PowerShell, foundational Java/Go/Node.js

Cloud: AWS, Azure, hybrid cloud environments

Platforms: Linux, Windows, macOS

Networking: Ports/Protocols, Routing, Switching, VLANs, VRFs

Tools: Wireshark, tcpdump, Splunk, QRadar, Chronicle, Sentinel

Security/Infra: Palo Alto, Cisco ASA, Fortinet, IDS/IPS, packet brokers

Automation: Python tooling, enrichment scripts, workflow automation

Documentation: SOPs, configuration guides, architecture diagrams

Professional Experience

Cybersecurity Specialist — Engineering & Platform Operations

Uber Technologies Inc. 2022–2026

Automation & Engineering

Built Python automation tools for data enrichment, intelligence collection, and workflow execution, reducing manual effort and improving operational efficiency.

Automated log parsing, event correlation, and validation tasks to support platform reliability and faster issue resolution.

Developed and maintained cloud integrated lab environments for testing distributed systems, SIEM pipelines, and telemetry ingestion.

Cloud & Platform Support

Supported cloud integrated security and monitoring platforms leveraging AWS and Azure services.

Troubleshot complex system behavior across hybrid environments, including API failures, session flow issues, and distributed service interactions.

Tuned platform configurations, policies, and automation logic to improve performance, reduce noise, and enhance detection capabilities.

Back End Data Processing & Analysis

Analyzed logs, syslog feeds, and network telemetry to support dashboards, reporting pipelines, and data driven decision making.

Conducted packet capture reviews and session analysis to validate system behavior and troubleshoot distributed workflows.

Built detection logic, enrichment routines, and data transformation workflows used across enterprise monitoring systems.

Cross Team Collaboration

Partnered with SOC, Network Engineering, Data Center, and application teams to align platform capabilities with mission critical operations.

Delivered documentation, architecture diagrams, and technical briefings to engineering leadership.

Supported lifecycle activities including upgrades, platform refreshes, and system optimization initiatives.

Projects & Contributions

Developed Python automation tools for intelligence enrichment and data processing.

Built cloud integrated lab environments for SIEM engineering and telemetry testing.

Contributed detection logic, automation scripts, and engineering methodologies to cybersecurity communities.

Education

MS, Information Security & Assurance — Towson University

Post Baccalaureate Studies, Computer Science & Information Security — Towson University

Additional Qualifications

Strong understanding of enterprise threat landscapes

U.S. Citizen



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