Amazon Manager Training OPTIMA 

India, Karnataka, Bengaluru 

148643737

You’ll join a diverse team of software engineers, security experts, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
We're changing how cybersecurity works by combining Generative AI with deep security expertise to defend applications handling trillions of requests across the globe.You'll be at the forefront of solving security challenges that didn't exist two years ago - protecting AI workloads, defending against AI-generated attacks, and creating security systems that think like security experts. Our team combines world-class researchers, seasoned security professionals, and engineers who've built some of AWS's most critical services.Key job responsibilities
In this role, you will be involved in building robust, well-architected AI-powered security systems that protect AWS customers from sophisticated cyber threats that traditional security tools cannot detect. You will be developing high-performance and highly scalable security services that leverage Generative AI and machine learning to comprehensively defend applications and AI workloads against advanced persistent threats, AI-generated attacks, and zero-day exploits.
You will design and implement real-time threat detection systems that process millions of security events per second, using advanced AI models to identify attack patterns and make intelligent mitigation decisions. This includes building new AI-powered services that improve our intelligent threat analysis and automated response capabilities.
You will architect integrations with core AWS security services including Network Firewall, Web Application Firewall, and Shield. Your work will focus on solving novel security challenges specific to AI and machine learning workloads, and defending against adversarial AI techniques.
You will collaborate closely with Applied Scientists and ML Engineers to translate security research into production systems, ensuring our AI-driven security capabilities evolve as quickly as the threat landscape.About the team
*Why AWS*
*Diverse Experiences*
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.*Work/Life Balance*
*Inclusive Team Culture*
*Mentorship and Career Growth*
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language

- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
- Experience with Generative AI security, including LLM safety, prompt injection prevention, and AI model protection
- Knowledge of advanced threat detection techniques including behavioral analysis and anomaly detection
- Previous work on real-time security systems processing high volumes of data
- Experience with AWS infrastructure services and deep understanding of cloud security architecture
- Understanding of regulatory compliance requirements (SOC 2, FedRAMP, GDPR, etc.)
- Background in security research or participation in security communities
- Experience with container security and Kubernetes security frameworks
- Knowledge of network security protocols, deep packet inspection, and traffic analysis