GCP Security Engineer

About Client:

Our Client is a global IT services company headquartered in Southborough, Massachusetts, USA. Founded in 1996, with a revenue of $1.8B, with 35,000+ associates worldwide, specializes in digital engineering, and IT services company helping clients modernize their technology infrastructure, adopt cloud and AI solutions, and accelerate innovation. It partners with major firms in banking, healthcare, telecom, and media.

Our Client is known for combining deep industry expertise with agile development practices, enabling scalable and cost-effective digital transformation. The company operates in over 50 locations across more than 25 countries, has delivery centers in Asia, Europe, and North America and is backed by Baring Private Equity Asia.

Job Title : GCP Security Engineer

Key Skills : AI/ML System Security, LLM, MCP, threat modelling and security standards

Experience : 6-8 Years

Location: Hyderabad

Education Qualification : Any Graduation

Work Mode : Hybrid

Employment Type : Contract to Hire

Notice Period : Immediate - 10 Days.

Job Description

6+ years in security, with 3+ years dedicated to AI/ML systems security.

Hands-on expertise in:

LLM application security and prompt injection defenses.

Implementing AI model security controls and securing underlying infrastructure.

Key Responsibilities & Expertise:

Agent-Based Systems Security:

Proven experience in securing agent orchestration frameworks and AI integrations.

Strong understanding of Model Context Protocol (MCP) server security and attack surfaces in agentic workflows (e.g., tool-use vulnerabilities, context poisoning, unauthorized actions).

AI-Specific Threat Modeling & Risk Assessment:

Deep knowledge of frameworks such as OWASP Top 10 for LLMs and MITRE ATLAS.

Ability to identify and mitigate threats unique to AI systems, including:

Training data poisoning

Model extraction

Adversarial inputs

Supply chain risks in AI dependencies

API & Data Flow Security in AI Contexts:

Expertise in securing API integrations and implementing robust data flow controls.