Security Engineer

Valuelabs; Hyderabad; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

Valuelabs in Hyderabad seeks an experienced AI Security + DevSecOps Engineer to secure AI/ML environments and implement robust cloud guardrails.

You will drive secure SDLC/SSDLC practices using Python, Shell, or Ruby, and orchestrate secure integrations across AWS, Azure, or GCP with Git workflows.

Collaborating across product and engineering teams, you will apply frameworks like ML security best practices, MITRE, and NIST AI RMF to reduce risk and safeguard deployments.

Qualifications

• Proven experience securing AI/ML workloads and cloud environments.
• Knowledge of AI risk frameworks and threat modeling methodologies.
• Experience securing agentic AI setups and securing SDLC/SSDLC.

Responsibilities

• Secure AI/ML environments across cloud and on-prem components.
• Apply security frameworks (OWASP LLM Top 10, MITRE ATLAS, NIST AI RMF, EU AI Act).
• Architect secure agented AI setups (autonomous agents, memory systems, tool orchestration).
• Automate security integrated into SDLC/SSDLC with Python, Shell or Ruby.

Skills

LLM security

AI threat modeling

Model red-teaming

Tools

Docker

Kubernetes

Helm

Cloudflare

Akamai

Zscaler

LangChain

AutoGen

CrewAI

Job description

We are looking for an experienced AI Security + DevSecOps Engineer to join our team in Hyderabad. If you are passionate about securing next-gen AI/ML environments and building robust cloud guardrails, we want to hear from you!

Role: AI Security + DevSecOps Engineer

What You Will Do:

• Secure AI/ML Environments: Protect application, cloud, and network layers with hands-on focus on AI/ML workloads.
• Mitigate AI Risks: Apply frameworks like OWASP LLM Top 10, MITRE ATLAS, NIST AI RMF, and the EU AI Act.
• Architect Secure Agents: Secure agentic AI setups (autonomous agents, memory systems, tool orchestration).
• Automate Security: Integrate security seamlessly into the SDLC/SSDLC pipelines using Python, Shell, or Ruby.
• Manage Cloud Infrastructure: Handle secure integrations across AWS, Azure, or GCP platforms using Git workflows.

Preferred Skills (A Plus):

• Direct experience with LLM security, model red-teaming, or AI threat modeling.
• Hands-on work securing agentic frameworks (LangChain, AutoGen, CrewAI).
• Containerization and IaC experience (Docker, Kubernetes, Helm).
• Knowledge of CDN/WAF platforms (Cloudflare, Akamai, Zscaler).