Security Architect - AI-Powered Security Engineering
Meesho · On-site
MeritLog read this listing from Meesho's Lever job board and last checked it on September 12, 2026.
Source: the employer's Lever job board. Open the original listing for current details.
Job details
- Work model
- On-site
- Salary
- Not listed by source
- Location
- Bangalore, Karnataka
Hiring context
How this role compares at Meesho
Meesho has 49 live roles in MeritLog’s catalog across 10 job families, and 6 of them are in engineering. 0 of those listings publish a pay range, a disclosure rate of 0%.
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Job description
Security Architect - AI-Powered Security Engineering About the Team The security team at Meesho is like the Avengers to Meesho's S.H.I.E.L.D. When 5% of Indian households shop with us, it’s important to build resilient systems to manage millions of orders every day. We’ve done this, with zero downtime! We value speed over perfection, and see failures as opportunities to become better. By 2030, Meesho will be the world’s most trusted and secure digital ecosystem, operating on an AI-native, Zero-Trust, self-healing architecture. As we shift toward an era where autonomous agents generate and deploy code, we want to ensure our security scales seamlessly with engineering velocity. We place special emphasis on the continuous growth of each team member, fostering a strong 'Founder’s Mindset' that helps us move fast. About the Role We are looking for a highly technical, hands-on Security Architect (Individual Contributor) to guide and lead our AI-Powered Security Engineering charter. In this role, you will bridge the gap between conventional DevSecOps, infrastructure security, and the rapidly evolving landscape of AI. You will optimize our AI-driven Software Development Lifecycle (SDLC) by designing secure-by-default guardrails for both human developers and AI coding agents. Your mission is to ensure near-zero vulnerabilities from application and data security failures reach production. A significant portion of your focus will involve advanced Red Teaming, utilizing LLMs to improve Meesho's security posture, and architecting defenses for our autonomous AI systems against prompt injection, data leakage, and jailbreaking attacks.
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