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Security Engineer

SAGEA · Nepal · 2026-10-12

mid-levelRemote
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About this role

Security Engineer
Team: Security
Location: Remote
Role Overview
As a Security Engineer at SAGEA, you will be responsible for protecting our AI systems, data, and infrastructure from potential threats. This role focuses on securing the models, pipelines, and deployment environments while supporting safe and reliable operations of research and production systems.
You will collaborate with engineering, ML Ops, and research teams to ensure that SAGEA’s AI platforms maintain confidentiality, integrity, and availability at all stages—from development to deployment.
What You Will Do

• Design and implement security controls for model, data, and infrastructure systems

• Monitor and audit access to models, pipelines, and sensitive datasets

• Conduct vulnerability assessments and recommend mitigations for infrastructure and software

• Collaborate with engineering teams to ensure secure CI/CD and deployment workflows

• Implement best practices for data privacy, IP protection, and regulatory compliance

• Respond to security incidents and coordinate remediation actions

• Advise on secure architecture and risk reduction strategies for experimental and deployed systems

What We Are Looking For

• Strong foundation in cybersecurity principles and practices

• Experience with securing cloud infrastructure, networks, and applications

• Familiarity with access control, encryption, and key management

• Knowledge of CI/CD security and secure development lifecycle

• Ability to analyze risks and propose practical security solutions

Nice to Have

• Experience with AI or ML system security

• Knowledge of privacy-preserving ML, model watermarking, or data protection techniques

• Familiarity with Linux, cloud platforms, and containerized deployments

• Hands-on experience with incident response or penetration testing

Why This Role Matters at SAGEA
Security is central to trustworthy AI. At SAGEA, this role ensures that our research outputs, deployed models, and user data are protected, allowing the team to innovate without compromising safety, integrity, or compliance.
Originally posted on Himalayas

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