Job Summary The SGA Application Security team operates as a strategic security partner, combining Application Security, DevSecOps, Exposure Management, and AI Security capabilities to proactively reduce risk while enabling innovation. Our collaborative, fast-paced culture emphasizes automation-first approaches, developer partnership, and continuous learning in emerging technologies. Team members gain exposure to enterprise-wide security transformation initiatives, AI-powered security tools, and opportunities to solve complex challenges that impact global engineering teams.

Grade Level (for internal use): 12

Responsibilities

- Lead complex application security assessments across multiple testing methodologies including SAST, SCA, DAST, API security, secrets detection, and threat modeling to identify and mitigate security vulnerabilities
- Drive integration of security controls into developer workflows across GitHub, Azure DevOps, Jenkins, and cloud-native platforms, implementing risk-based quality gates that enhance secure coding practices
- Perform comprehensive threat modeling and security design reviews for new applications, APIs, and cloud services, providing strategic guidance on secure architecture decisions
- Design and implement AI-enabled Application Security capabilities including custom tools, agents, and automations that improve security testing, triage, and remediation while meeting enterprise governance standards
- Partner with cross-functional teams including engineering, product, cloud, and risk stakeholders to resolve systemic application risks and establish scalable security controls across the SDLC
- Provide technical leadership and mentoring to security analysts and engineering partners while contributing to enterprise standards, procedures, and audit-ready documentation

What We're Looking For Basic Required Qualifications

- Bachelor's degree in Cybersecurity,



Computer Science, Engineering, or related field, or equivalent professional experience
- 6+ years of experience in Application Security, DevSecOps, secure software engineering, or penetration testing with hands-on technical expertise
- Strong knowledge of application security testing methodologies including SAST, SCA, DAST, threat modeling, secure design principles, and CI/CD security practices
- Experience integrating security controls into development platforms such as GitHub, Azure DevOps, Jenkins, and cloud-native delivery environments
- Practical experience using generative AI and AI-assisted development tools to build custom security tools, scripts, integrations, or automations
- Ability to lead technical engagements, communicate complex security risks to senior stakeholders, and drive remediation across distributed engineering teams
- Strong analytical and problem-solving abilities with attention to detail
- Excellent communication and presentation skills for technical and non-technical audiences
- Leadership and mentoring capabilities with team-oriented team approach
- Adaptability to work in fast-paced, evolving technology environments

Additional Preferred Qualifications

- Knowledge of Model Context Protocol (MCP), AI agents, agentic architectures, tool calling, retrieval-augmented generation, and secure integration of AI with enterprise platforms
- Experience with cloud application security across multi-cloud environments such as AWS, Azure, and GCP with understanding of cloud-native security controls
- Robust automation capabilities and experience improving security operations at enterprise scale using scripting languages such as Python, PowerShell, or similar
- Experience with software supply chain security initiatives including dependency governance, artifact management, provenance validation, and trusted package consumption practices

Location - Gurugram,Noida,Uttarpradesh,Hyderabad

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