Senior AI Security Development Engineer

Finastra; Bengaluru; On-site; INR 2,400,000 - 4,200,000; Full time

Job summary

Finastra in Bengaluru (Bangalore) is seeking a Senior AI Security Development Engineer to enable secure delivery of Finastra’s AI-enabled products and platforms. You will combine hands-on security engineering with reviews and advisory work, partnering with product and engineering teams to identify risks, design secure solutions, and build scalable security capabilities.

The role spans security reviews, threat modeling, and developing lightweight security tooling, automations, and integrations to

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, Cyber Security, Artificial Intelligence, or a related field.
• 7–10 years of experience in Security Engineering, Application Security, Product Security, Software Engineering, or DevSecOps roles.
• 3+ years of experience conducting security reviews, threat modeling, architecture assessments, or product security activities.
• Experience with Azure, AWS, or GCP.
• Experience securing modern applications, APIs, microservices, containers, and cloud-native solutions.

Responsibilities

• Perform security architecture reviews, threat modeling, and risk assessments for applications, APIs, cloud services, and AI-enabled solutions.
• Conduct AI security assessments for AI applications, agents, LLM integrations, and AI platforms.
• Collaborate with product and engineering teams to identify risks and provide remediation guidance.
• Design and develop security tooling, automations, and integrations to improve visibility and developer experience.
• Build security automation integrated into CI/CD pipelines and security platforms.
• Support secure-by-design and secure-by-default initiatives within the SDLC.
• Review findings from SAST, SCA, container, infrastructure, cloud, and AI security assessments and assist remediation.
• Contribute to AI Security, Product Security, and Secure Development standards and practices.
• Perform security testing activities including adversarial testing and penetration testing coordination.

Skills

Threat modeling

Security architecture

Cloud security

AI security

DevSecOps

CI/CD security tooling

SAST/SCA

Programming/scripts

Security governance

Communication

Education

Bachelor's or Master's in CS/Engineering/Cyber Security

Tools

GitHub Advanced Security

CodeQL

Container Security

Cloud security tooling

Job description

Who are we?

At Finastra, we’re a global leader in financial services software, dedicated to expanding access to financial services and shaping what’s next for the industry. Our technology powers mission‑critical solutions across Lending, Payments and Universal Banking, supporting over 7,000 customers, including 80% of the world’s top 50 banks, in more than 110 countries.

What will you contribute?

Reporting to the Director, Product & AI Security Engineering , the Senior AI Security Development Engineer is responsible for enabling the secure delivery of Finastra’s products, platforms, and AI initiatives. This role combines hands‑on security engineering with security review and advisory responsibilities, partnering closely with product and engineering teams to identify risks, design secure solutions, and build scalable security capabilities.

The ideal candidate is equally comfortable performing threat modeling and architecture reviews, conducting AI security assessments, and developing lightweight security tooling, automation, and integrations that improve security effectiveness across the organization.

This position is located in Bangalore.

Responsibilities & Deliverables

The Senior AI Security Development Engineer will:

• Perform security architecture reviews, design reviews, threat modeling, and risk assessments for applications, APIs, cloud services, and AI-enabled solutions.
• Conduct AI security assessments for AI applications, AI agents, LLM integrations, RAG solutions, and AI platforms.
• Work directly with product and engineering teams as a trusted security partner to identify risks and provide practical remediation guidance.
• Design and develop security tools, integrations, automations, and proof‑of‑concepts that improve security visibility, governance, and developer experience.
• Build and maintain security automation integrated into CI/CD pipelines, security platforms, and engineering workflows.
• Support secure‑by‑design and secure‑by‑default initiatives by embedding security requirements into the Software Development Lifecycle (SDLC).
• Review security findings from SAST, SCA, container, infrastructure, cloud, and AI security assessments and support remediation efforts.
• Contribute to AI Security, Product Security, and Secure Development standards, guidelines, and best practices.
• Perform security testing activities, including adversarial testing, penetration testing coordination, and validation of security controls.
• Support security research and evaluation of emerging technologies, AI platforms, and security solutions.
• Develop security metrics, dashboards, and reporting capabilities to improve visibility into security posture and risk.
• Mentor engineers and security champions and help drive adoption of security best practices across development teams.

Skills & Knowledge

• Strong understanding of Application Security, Product Security, AI Security, and Secure Software Development principles.
• Experience performing threat modeling, architecture reviews, design assessments, and risk analysis.
• Knowledge of cloud security principles and modern cloud‑native architectures.
• Understanding of AI security concepts, including LLMs, AI agents, prompt injection, model security, AI governance, and adversarial testing techniques.
• Experience developing scripts, automations, integrations, and lightweight security tools using languages such as Python, Java, C#, Go, or similar.
• Familiarity with DevSecOps practices, CI/CD pipelines, GitHub, Infrastructure‑as‑Code, and security automation.
• Experience with security testing technologies including SAST, SCA, API Security, Container Security, Secrets Detection, and Vulnerability Management.
• Strong analytical and problem‑solving skills with the ability to communicate effectively with both technical and business stakeholders.
• Demonstrated ability to learn and adopt new technologies, security practices, and engineering methodologies.
• Ability to work independently, manage multiple priorities, and influence engineering teams in a fast‑paced environment.

Experience

• Bachelor’s or Master’s degree in Computer Science, Engineering, Cyber Security, Artificial Intelligence, or a related field.
• Minimum 7-10 years of experience in Security Engineering, Application Security, Product Security, Software Engineering, or DevSecOps roles.
• Minimum 3+ years of experience conducting security reviews, threat modeling, architecture assessments, or product security activities.
• Experience with cloud platforms such as Azure, AWS, or GCP.
• Experience securing modern applications, APIs, microservices, containers, and cloud‑native solutions.
• Experience developing automation, integrations, internal tooling, or engineering utilities.
• Experience with source control, CI/CD, issue tracking, and Agile development practices.
• Financial services experience is a plus.

Preferred Qualifications

• Experience in AI Security, AI Governance, AI Risk Management, or AI Red Teaming.
• Experience with Developer Security Platforms, ASPM, GitHub Advanced Security, CodeQL, Container Security, or Cloud Security solutions.
• Experience building security integrations, workflow automations, developer enablement capabilities, or security operational tooling.
• Relevant certifications in AI Security, Cybersecurity, Cloud Security, Security Architecture, Secure Software Development, or related domains.

Role Profile

This role is approximately 50% Security Engineering and Security Reviews and 50% Security Tooling, Automation, and Capability Development , acting as a forward‑deployed security partner embedded with engineering teams while helping build the security capabilities that scale across the organization.

We are proud to offer a range of incentives to our employees worldwide. These benefits are available to everyone, regardless of grade, and reflect the values we stand for:

Flexibility: Enjoy unlimited vacation, subject to local regulations and business priorities. Benefit from hybrid working arrangements and inclusive policies such as paid time off for voting, bereavement, and sick leave.

Well‑being: Access confidential one‑to‑one support through our Employee Assistance Program, connect with our network of Wellbeing Champions and Gather Groups, and take part in monthly events and initiatives designed to help you thrive—inside and outside of work.

Health & Financial Security: Medical, life and disability insurance, retirement plans, lifestyle, and other benefits.*

Sustainability: Paid time off for volunteering and donation‑matching opportunities to support causes that matter to you.

Inclusion: Get involved in our inclusion communities, such as Count Me In, Culture@Finastra, Proud@Finastra, Disabilities@Finastra, and Women@Finastra—open to everyone who wants to participate and contribute.

Career Development: Access online learning and accredited courses through our Skills & Career Navigator tool.

Recognition: Take part in our global recognition program, Finastra Celebrates, and share your voice through regular employee surveys that help shape our culture and ways of working.

*Specific benefits may vary by location.

At Finastra, each individual is unique—bringing their own ideas, perspectives, cultural backgrounds, and experiences. We learn from one another, value what makes us different, and create an environment where everyone feels included, supported, and able to be their authentic selves.

Be unique. Be exceptional. Help us make a difference at Finastra.