Senior Software Engineer in Visa’s Investments tribe, responsible for designing, building, and operating scalable distributed services and data pipelines, with a focus on AI‑assisted engineering and financial‑industry compliance.
Responsibilities
Contribute to technical decisions within the squad
Design, build, test, and maintain scalable distributed services and data pipelines
Use and extend AI‑assisted engineering tools, skills, commands, agents, and automations
Apply responsible AI practices
Improve developer experience by identifying recurring friction and contributing reusable tooling
Lead offensive security research to develop and tune detection logic for AI-driven SDLC, collaborating with engineers, researchers, and AI/data scientists.
Responsibilities
Push modern AppSec forward by building and breaking detection logic
Collaborate with engineers, researchers, and AI/data scientists on next-generation detection
Take research ideas from prototype to production with minimal guidance
Explain complex attack paths to engineers and product managers
The Security Research group is hiring a senior, hands‑on Application Security Researcher to push modern AppSec forward—working with engineers, researchers and AI/data scientists on next‑generation detection, including autonomous, agentic pen‑testing capabilities.
Responsibilities
Push modern AppSec forward
Work with engineers, researchers and AI/data scientists on next‑generation detection
Build and break security solutions
Translate research ideas from prototype to production
Communicate complex attack paths to engineers and product managers
Requirements
M.Sc. in Computer Science, Cyber Security, or a related field
The Security Research group is hiring a senior, hands-on Application Security Researcher to push modern AppSec forward — working with engineers, data scientists on next-generation detection, including autonomous, agentic capabilities.
Responsibilities
Secure the AI-driven SDLC from prompt to production
Unify development and cloud context to stop vulnerabilities at the source
Work with engineers and data scientists on next-generation detection
Lead the design, build, and deployment of cloud-native backend services, APIs, and frontends for the Kipu Quantum Hub, focusing on agentic AI integration and robust software architecture.
Responsibilities
Design, build and run backend services, APIs and frontends on Kubernetes in the public cloud
Make architecture decisions for distributed systems, microservices, asynchronous messaging and API design
Ship small changes to production frequently and safely with automated tests and CI/CD
Develop and maintain agentic AI components, including LLM-based applications, RAG, tool use, and Model Context Protocol interfaces
Collaborate with quantum physicists, data scientists, and cross-functional teams to improve product and engineering practices
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