Associate Software Development Engineer

S&P Global Off Campus Recruitment 2026 is hiring Associate Software Development Engineers in Chennai, Hyderabad, or New York. Eligible candidates include those with B.E/B.Tech, M.E/M.Tech, BCA, MCA, or B.Sc degrees from the 2024, 2025, and 2026 batches.

S&P Global advances essential intelligence by providing critical data and insights to governments, businesses, and individuals. With a global workforce of over 35,000 professionals, the company empowers confident decision-making in areas like energy transitions and global markets.

Responsibilities

• Threat Modeling & Reviews: Partner with senior engineers to perform secure design and code reviews, focusing on auditing AI agents, LLM pipelines, and cognitive workflows.
• AI Risk Assessment: Identify vulnerabilities in AI systems (e.g., prompt injection, data poisoning, insecure output handling) and evaluate new AI technologies.
• Security Automation: Use Python and open-source tools to build, maintain, and automate security testing within the CI/CD pipeline.
• Vulnerability Research: Analyze, triage, and remediate vulnerabilities discovered during automated scans and manual testing.
• Secure Development: Provide actionable security guidance across server-side development, UI frameworks, and cloud integrations.
• Continuous Learning: Stay updated on evolving zero-day vulnerabilities and emerging frameworks for securing AI architectures (e.g., OWASP Top 10 for LLMs).

Requirements

• Education: Bachelor’s degree in Computer Science, Information Security, or a highly related technical field.
• Experience: At least 1 year or more of professional experience in Information Security, Application Security, or a security-focused software development role.
• Core Technical Skills:
  • Scripting & Automation: High proficiency in Python for security scripting and automation. Exposure to Java or JavaScript/Angular is a bonus.
  • Application Security: Familiarity with core AppSec concepts, web services, microservices/SOA architecture, and OWASP Top 10.
  • AI/LLM Awareness: Foundational knowledge of AI concepts, LLM architectures, secure API interactions, and data privacy in AI workflows.
  • Network & Crypto: Solid understanding of TCP/IP networking, transport layer security (TLS/DTLS), PKI, certificate management, and basic encryption concepts.