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Senior Backend Software Engineer
Cisco · San Jose, CA · Posted 16 days ago
Help rebuild a legacy Splunk Enterprise Security threat detection platform into a cloud-native system deployed across AWS, Azure, GCP, and on-prem Kubernetes.
The application window is expected to close on: 11/19/2026 Meet the Team Our Splunk Enterprise Security team is not just migrating - we are reimagining Threat Detection for the cloud era. Join us as we rebuild our legacy system into a modern, cloud-native security analytics platform, deploying across AWS, Azure, GCP, and on-prem Kubernetes. Address unique technical challenges at scale and leave your mark on a platform used by the world’s leading organizations.
- Transform Legacy to Cloud-Native: Join us as we completely redesign our legacy Threat Detection platform into a modern, cloud-native solution. You’ll have the rare chance to shape a foundational security product from the ground up.
- Multi-Cloud Impact: Work directly with leading cloud platforms - AWS, Azure, and Google Cloud Platform - as well as on-prem Kubernetes environments. Your solutions will run seamlessly across diverse, real-world deployments.
- Technical Challenge and Scale: Solve complex engineering problems in distributed systems, real-time data processing, and security analytics at global scale.
- Career-Defining Project: Be part of a flagship transformation initiative that offers deep technical learning, broad exposure to cloud and security, and opportunities for leadership.
Your Impact This is a High Visibility role with significant impact to the organization. Your work will directly influence how security is implemented across industries, helping customers transition securely to the cloud while supporting hybrid and on-prem needs.
Feature Ownership: Take full ownership of the design, development, and delivery of core backend features within the Splunk Enterprise Security ecosystem, ensuring high-quality, scalable code.
Project Delivery: Drive the technical execution of major features, from initial design through to deployment, utilizing microservices, RESTful/gRPC APIs, and advanced Splunk app development.
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