Senior Cyber Platform – AI Automation Engineer

Cadmus Soluções em TI

Senior Cyber Platform & AI Automation Engineer responsible for developing secure and scalable backend services. Focuses on integrating AI and automating security processes in corporate ecosystems.

Posted 7/22/2026full-timeRemote • 🇧🇷 BrazilSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and developing scalable backend services, integrating AI with corporate systems, and implementing security automation solutions. Proficient in cloud-native architecture and capable of leading technical initiatives in information security.

Highest-signal resume keywords

Information SecuritySecurity AutomationCloud EnvironmentsAI/ML ModelsPlatform Engineering

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Backend Service DevelopmentAPI DevelopmentAutomation PlatformsData StructuringSecurity GovernancePrompt EngineeringRAG PipelinesDistributed SystemsInfrastructure as CodeScripting (Python/PowerShell)

Soft Skills

LeadershipCollaborationProblem-Solving

Tools & Technologies

AWSAzureGCPSIEMEDR/XDRIAMObservability Tools

Industry Keywords

Cloud-Native ArchitectureSecurity AutomationInformation AnalysisRisk AnalysisTechnical Initiatives

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformPython

About the role

Key responsibilities & impact

Design and develop scalable and resilient backend services
Build APIs and integration layers between complex systems
Develop automation platforms for technical and security processes
Create orchestration mechanisms for workflows and pipelines
Work with cloud-native architecture and distributed systems
Build internal tools focused on operational efficiency and security
Develop LLM-based (GenAI) applications applied to security contexts
Design and implement autonomous agents and systems for analysis and decision support
Create RAG (Retrieval-Augmented Generation) pipelines with corporate and security data context
Work with prompt engineering and context optimization
Integrate AI with corporate systems and relevant data sources
Develop automated workflows supporting risk and information analysis
Integrate solutions with various data sources, APIs, and corporate systems
Work on data structuring, correlation, and enrichment
Implement search and information retrieval mechanisms
Work with data pipelines and distributed flows
Orchestrate services, agents, and automated processes
Architect systems that support security governance processes

Requirements

What you’ll need

Senior experience in information security and/or platform engineering.
Experience with security automation (SOAR, Python/PowerShell scripting, REST APIs).
Familiarity with SIEM, EDR/XDR, IAM, and observability tools.
Experience in cloud environments (AWS, Azure, or GCP) and Infrastructure as Code.
Strong understanding of AI/ML models applied to security or operational data.
Ability to lead end-to-end technical initiatives, working in a service provider model.

Benefits

Comp & perks

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