Security Engineer

XenonStack Moments; Anupgarh; On-site; INR 800,000 - 1,200,000; Full time

Job summary

XenonStack Moments is looking for a Security Engineer located in Anupgarh, Rajasthan, with 2–5 years of experience in cloud and application security. The role involves implementing security controls, monitoring threats, and ensuring compliance. You will design secure systems and work across teams to embed security practices.

The ideal candidate thrives at the intersection of cybersecurity and AI innovation. Skills in AWS, Azure, and DevSecOps are essential.

Qualifications

• 2–5 years of hands-on experience in cloud, application, or platform security.
• Strong knowledge of AWS/Azure/GCP security services.
• Familiarity with DevSecOps practices and CI/CD security.

Responsibilities

• Implement security best practices across cloud environments.
• Conduct security reviews and vulnerability assessments.
• Design secure authentication and role-based access controls.

Skills

Cloud Security

Application Security

Identity & Access Management (IAM)

Threat Detection & Response

DevSecOps

Compliance & Governance

Data Security

Security Automation

Collaboration

Research & Improvement

Tools

AWS Security Services

Azure Security Services

GCP Security Services

Vulnerability Scanning Tools

CI/CD Tools (Jenkins, GitLab CI)

Python

Bash

Go

Job description

Security Engineer Opportunity

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.

Key Responsibilities

• 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.
• Identity & Access Management (IAM) – Design and enforce secure authentication, authorization, and role-based access controls.
• 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.

Must‑Have Skills & Qualifications

• 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.
• Knowledge of encryption, PKI, and secure communication protocols.
• Proficiency in Python, Bash, or Go for security automation.
• Understanding of compliance frameworks (ISO, SOC 2, GDPR, PCI‑DSS).

Good‑to‑Have Skills & Qualifications

• 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 such as CISSP, CISM, CEH, OSCP, CCSK add value.