About the Role

As a Cybersecurity / Security Engineer, you’ll play a critical role in safeguarding our cloud infrastructure and ensuring compliance across our systems. You’ll work closely with DevOps, engineering, and product teams to identify vulnerabilities, design secure architectures, and implement cutting-edge solutions that protect against emerging threats including those introduced by AI and automation.

This is a hands-on technical position, perfect for someone passionate about security automation, ethical hacking, and proactive threat prevention.

Key Responsibilities

• Design, implement, and maintain secure architectures across multi-cloud (AWS / Azure / GCP) environments

• Monitor, detect, and respond to security incidents using SIEM, IDS/IPS, and EDR tools

• Conduct regular vulnerability assessments, penetration testing, and threat modeling across infrastructure and applications

• Automate security controls, testing, and compliance checks within CI/CD pipelines (DevSecOps)

• Develop, document, and enforce security policies, standards, and best practices across the organization

• Lead incident response and post-incident analysis to ensure continuous improvement and root cause resolution

• Collaborate with developers to perform secure code reviews and ensure OWASP compliance

• Manage identity and access management (IAM), endpoint security, and zero-trust implementation initiatives

• Partner with compliance and audit teams to align systems with frameworks like ISO 27001, SOC 2, NIST, and GDPR

• Research, evaluate, and deploy new security tools and technologies to strengthen the company’s threat detection and response capabilities

• Educate and train internal teams on security awareness, secure coding, and operational best practices

• Produce detailed documentation, risk assessments, and status reports for internal stakeholders and leadership

AI Security Responsibilities

• Evaluate and mitigate security risks in AI/ML pipelines, including model poisoning, data leakage, and adversarial attacks

• Implement AI-specific threat modeling and secure MLOps practices across model development, deployment, and monitoring phases

• Collaborate with data science teams to ensure training data integrity, secure API endpoints, and ethical data governance

• Develop monitoring tools to detect anomalous model behavior or unauthorized data access

• Stay updated on AI security frameworks, evolving regulations (EU AI Act, NIST AI RMF), and emerging threats in the AI ecosystem

• Contribute to building internal policies for responsible AI usage, model explainability, and bias mitigation

Qualifications

• 4+ years’ experience in cybersecurity, network, or infrastructure security

• Proven experience with cloud security (AWS Security Hub, IAM, GuardDuty, Azure Defender, etc.)

• Strong understanding of security frameworks and incident response processes

• Hands-on experience with firewalls, intrusion detection systems, endpoint protection, and SIEM tools

• Scripting knowledge (Python, Bash, PowerShell) for automation and tooling

• Experience or strong interest in AI/ML systems, MLOps, and data privacy is highly advantageous

• Certifications such as CISSP, CEH, OSCP, or AWS Security Specialty are a plus