Design and implement secure cloud architectures across AWS, GCP, and/or Azure aligned to zero-trust principles
Lead cloud network security initiatives including segmentation, micro-segmentation, traffic inspection, ingress/egress controls, and identity-aware networking
Build and deploy AI-driven security automation using Generative AI and LLM-based agents to detect, triage, and remediate security findings
Develop intelligent guardrails for CI/CD pipelines, enabling automated policy enforcement and pre-deployment security validation
Implement and manage data security controls including encryption, key management, tokenization, and data loss prevention strategies
Lead applied cryptography efforts including PKI design, certificate lifecycle management, and secrets management in distributed systems
Operate Tier-0 production systems with strong operational rigor, participating in on-call rotations and leading incident response efforts
Conduct security design reviews, threat modeling, and architecture risk assessments
Partner with engineering, and platform teams to embed secure-by-design practices across the software lifecycle
Research, evaluate, and introduce modern cloud security technologies and AI-enabled security capabilities
Mentor and coach junior engineers, raising the technical bar across cloud networking and security automation domains
Contribute across multiple security domains including Network Security, Data Security, Cryptography/PKI, and Detection & Response
8+ years of experience in Cloud Security Engineering, Security Architecture, or related infrastructure security roles
Strong expertise in core cloud networking (VPC/VNet design, routing, peering, DNS, load balancing, firewalls, private connectivity, service mesh)
Deep understanding of zero trust principles, micro-segmentation, and least-privilege access enforcement
Proven experience designing and securing large-scale AWS, GCP, or Azure environments
Hands-on experience building security automation using Python, Go, or similar languages
Practical experience applying AI and Generative AI (LLMs/agents) to automate security operations, triage, and remediation workflows
Experience operating Tier-0 or mission-critical production systems with participation in incident response and on-call rotations
Ability to perform threat modeling, architecture reviews, and risk assessments across distributed cloud systems
Demonstrated ability to mentor junior engineers and raise technical standards across teams
Clear and effective communication skills, capable of influencing both technical teams and leadership