Role Summary

Splunk Enterprise Security (ES) is a sophisticated SIEM built atop Splunk s data platform with lots of moving parts. We help thousands of customers as they identify and protect their assets from cyber threats, all over the world. On any given day, our software needs to handle thousands of users, petabytes of data, and unique usage patterns across different deployment topologies.

Meet the Team

Are you ready to shape the future of AI-powered quality We are seeking a software engineer to build test infrastructure for our AI-agentic Security Operations Center (SOC)! Together, we define the strategic direction that secures the absolute reliability and performance of our most complex systems. We work to mentor world-class engineering talent, drive the adoption of groundbreaking benchmarking, and catalyze the evolution of our quality ecosystems. Join us as we work to transform high-level challenges into scalable, high-impact solutions.

Your Impact

This role is designed for an engineer who translates quality challenges into technical solutions, driving engineering efficiency through evaluation strategies and implementation. In this role, you will collaborate with team members and implement benchmarking protocols that support our technical performance goals. Responsibilities include:

- Technical Contribution: Contribute to the development of PQ foundations and evaluation frameworks, ensuring assessment capabilities for AI agents, workflows, and system processes.
- Technical Collaboration Support: Support the team by collaborating with members, participating in code and design reviews, and assisting in the validation of technical hypotheses.

- Experimental Execution: Implement the lifecycle of proof-of-concepts (POCs),



adhering to standards for experimentation and the validation of testing paradigms.

- Quality Ecosystem Maintenance: Ensure that testing processes deliver reliable, high-quality outcomes, maintaining alignment with team quality goals.

- Validation Execution: Implement validation techniques, including LLM-as-judge methodologies, tenant isolation probes, and behavioral regression suites.

- Cross-Functional Collaboration: Partner with engineering teams to implement contract testing, audit log validation, and security compliance, ensuring integration of quality across the development lifecycle.

Minimum Qualifications

- Bachelor s degree plus 4+ years of experience in software development and test automation, including experience building large-scale testing ecosystems.

- Demonstrated experience in programming, specifically Python and Go, with a proven ability to design scalable, maintainable, and high-performance testing infrastructure.

- Demonstrated experience with security compliance frameworks.

- Demonstrated experience with contemporary performance testing methodologies.

- Demonstrated experience using AI to build automation (writing AI skills to build test automation).

Preferred Qualifications

- Problem-Solving: Capacity to translate quality challenges into structured and actionable technical implementations.

- Technical Vision: Ability to innovate within the AI/ML landscape, applying modern tooling to drive detection efficacy and system reliability.

- Test Automation: Go, Python, Contract testing frameworks, Playwright.

- Performance Testing: K6, Terra Virtual Machine (Security Suite), and JMeter.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Software Engineer - AI Quality & Test Automation (Bengaluru)
🏢 Cisco
📍 Bengaluru