Senior AI Security Development Engineer
Finastra (company site, opens in a new tab)7–10 yrsBengaluruOn-siteDirect career pageEst. 22–36 LPA
Posted 17h ago
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Job description
Structured overview of role & requirements
About This Role
- Conduct comprehensive security design reviews, threat modeling, and risk assessments specifically for AI applications, APIs, cloud services, and AI platforms.
- Collaborate directly with product and engineering teams to identify security risks and provide actionable remediation guidance, enabling secure product and AI initiative delivery.
- Design and develop security tools, automations, and CI/CD integrated security capabilities to enhance security visibility, governance, and developer experience across the organization.
Minimum Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, Cyber Security, Artificial Intelligence, or related field.
- 7-10 years of experience in Security Engineering, Application Security, Product Security, Software Engineering, or DevSecOps roles, with minimum 3+ years in security reviews or product security activities.
- Experience with cloud platforms such as Azure, AWS, or GCP and securing modern applications, APIs, microservices, containers, and cloud-native solutions.
- Proficient in developing scripts, automations, and security tools using languages like Python, Java, C#, or Go; familiarity with DevSecOps, CI/CD, and security testing tools including SAST, SCA, API Security, and Container Security.
Ideal Candidate Profile
- Experienced in AI Security concepts including LLM integrations, AI governance, adversarial testing, and risk management to handle AI security assessments effectively.
- Capable of balancing hands-on security engineering with strategic advisory roles, embedded closely with product and engineering teams for practical security problem solving.
- Skilled in building scalable security tooling and automation that integrates into development workflows, enhancing security posture organization-wide.