AWS Security Engineer

XenonStack is the fastest-growing Data and AI Foundry for Agentic Systems , enabling people and organizations to gain real-time and intelligent business insights .
We Deliver Innovation Through
Agentic Systems for AI Agents → akira.ai
Vision AI Platform → xenonstack.ai
Inference AI Infrastructure for Agentic Systems → nexastack.ai
Accelerate the world's transition to AI + Human Intelligence by building enterprise-ready AI platforms that are secure, scalable, and compliant .
We are seeking a Security Engineer with 2–5 years of experience in cloud security, application security, and enterprise risk management. You'll play a critical role in protecting XenonStack's AI platforms and enterprise clients by designing and implementing security controls, monitoring for threats, and ensuring compliance with global standards.
This role is ideal for someone who thrives at the intersection of cybersecurity, cloud infrastructure, and AI innovation .
Cloud Security – Implement and monitor security best practices across AWS, Azure, and GCP environments.
Application Security – Conduct security reviews, code analysis, and vulnerability assessments for AI/ML and web applications.
Threat Detection & Response – Monitor security alerts, investigate incidents, and support SOC teams with remediation.
DevSecOps – Integrate security into CI/CD pipelines with automated scanning and policy enforcement.
Compliance & Governance – Ensure adherence to ISO 27001, SOC 2, GDPR, and AI governance frameworks.
Data Security – Protect sensitive enterprise data with encryption, tokenization, and secure storage practices.
Security Automation – Build scripts, tools, and dashboards for continuous monitoring and risk detection.
Collaboration – Partner with engineering, DevOps, and product teams to embed security by design in agentic AI systems.
Research & Improvement – Stay updated with emerging threats, AI security risks, and zero-trust frameworks.
2–5 years of hands-on experience in cloud, application, or platform security.

• Strong knowledge of AWS/Azure/GCP security services (IAM, KMS, GuardDuty, Security Hub).
• Familiarity with DevSecOps practices and CI/CD security (Jenkins, GitLab CI, Terraform).
• Experience with threat modeling, vulnerability scanning, and penetration testing tools.
• Proficiency in Python, Bash, or Go for security automation.
• Experience securing AI/ML pipelines, model inference endpoints, and data lakes.

Exposure to Zero Trust architectures and microservices security.
Familiarity with SIEM/SOAR tools (Splunk, ELK, Sentinel).
Security certifications (e.g., Agentic AI Product Company

Secure the next generation of AI platforms and ensure trust in enterprise adoption.

• Join one of the fastest-growing AI Foundries redefining secure AI adoption across industries.
• Career Mobility & Growth

Move between security domains — from Cloud Security to AI Security, DevSecOps, or Compliance Engineering .

• Work on enterprise-scale security challenges with Fortune 500 clients and regulated industries like BFSI, GRC, and Healthcare.
• Your work ensures trust, safety, and resilience in mission-critical AI systems.
• Responsible AI First

Contribute to building trustworthy, explainable, and compliant AI systems that enterprises can rely on.
Obsessed with Adoption – Making AI secure, accessible, and enterprise-ready.
Obsessed with Simplicity – Turning complex security challenges into seamless, reliable protections.
Be a part of our mission to accelerate the world's transition to AI + Human Intelligence — by securing the platforms that power it.