DevSecOps Engineer – AI & Cloud Security
Cisco (company site, opens in a new tab)7+ yrsBengaluruOn-siteDirect career pageEst. 30–45 LPA
Posted 18h ago
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Job description
Structured overview of role & requirements
About This Role
- Develop AI-driven automation workflows for alert triage, threat modeling, and incident response with human-in-the-loop controls.
- Design and implement secure AWS multi-account cloud foundations emphasizing IAM least privilege, encryption, network segmentation, and automated guardrails.
- Build and maintain CI/CD pipelines using GitHub Actions, Terraform, and container security tooling (SAST/DAST/SCA, SBOMs, artifact signing); collaborate with engineering on threat modeling across microservices, APIs, Kubernetes, and AI/LLM applications.
Minimum Requirements
- 7+ years hands-on experience in Cloud Security, Application Security, or Software Engineering.
- Proven expertise securing AWS environments including IAM, SCPs, WAF, KMS, CloudTrail, GuardDuty, Security Hub.
- Strong scripting and automation skills in Python (or Go/Bash), with hands-on experience in Terraform and GitHub Actions CI/CD pipelines.
- Comfortable using AI coding tools (e.g., GitHub Copilot, Cursor, LLMs) to accelerate workflows.
Ideal Candidate Profile
- Experienced in automating audit readiness and operational workflows for compliance frameworks like SOC 2, FedRAMP, ISO 27001.
- Able to conduct detailed threat modeling and security architecture reviews for cloud-native, microservices, and AI/LLM environments.
- Technical collaborator who partners closely with developers and uses modern DevSecOps and AI assistant tools to enhance security outcomes.