Sr.Cloud Security Engineer
Tungsten Automation
- Design, implement, and maintain secure cloud architectures across Azure and AWS
- Define and enforce cloud security best practices, guardrails, and policies
- Implement and manage identity and access management (IAM), network security, encryption, and key management
- Lead Infrastructure as Code (IaC) initiatives using Terraform for secure and repeatable deployments
- Build and automate security controls, compliance checks, and remediation workflows
- Integrate security into CI/CD pipelines (DevSecOps)
- Monitor, detect, and respond to cloud security threats and incidents
- Perform cloud security risk assessments, threat modeling, and design reviews
- Partner with platform, DevOps, and application teams to embed security early
- Support audits, compliance requirements, and regulatory assessments
- Mentor junior engineers and provide cloud security thought leadership
- Utilize AI-enabled tools (e.g., chatbots, document automation, analytics assistants) to improve efficiency, accuracy, and streamline routine tasks while following company AI governance and data privacy standards
Required Experience
Required Skills & Qualifications
- 7+ years of experience in information security, with strong focus on cloud security
- Hands-on expertise in both Azure and AWS security services, including:
- Azure Security Center / Defender for Cloud
- Azure IAM, Key Vault, Network Security Groups
- AWS IAM, KMS, Security Hub, GuardDuty
- Strong experience with Terraform for:
- Infrastructure provisioning
- Security automation
- Policy enforcement and reusable modules
- Solid understanding of:
- Cloud networking (VPC/VNet, routing, firewalls)
- Zero Trust security principles
- Encryption, secrets management, and key lifecycle
- Experience with logging, monitoring, and detection tools in cloud environments
- Familiarity with secure SDLC and DevSecOps practices
- Strong troubleshooting, problem-solving, and communication skills
- Ability to leverage AI to create, develop, and scale documentation to meet product and departmental requirements
- Skills in prompting AI systems and assessing output standards