Senior Software Engineer -Backend EngineerMeet the TeamOur 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.
Technical Problem Solving: Proactively identify and resolve complex technical hurdles in data orchestration, API design, distributed systems, and AI/ML model integration. Engineering Excellence: to drive guidelinesd, including secure coding standards, comprehensive automated testing, and the maintenance of reliable CI/CD pipelines.
Mentorship & Collaboration: Provide technical guidance and code reviews to team members, sharing expertise in backend architecture, agentic frameworks, and cloud-native patterns.
Performance Optimization: Monitor product performance and reliability using technical metrics to drive continuous improvements and feature adoption based on customer feedback.
Minimum Qualifications - Bachelor's degree and 7+ years or Master's and 4+ years, or PhD and 2+ years of relevant software engineering experience.
- 5+ years of experience in programming languages such as Python or Java or C/C++
- 3+ years of experience with client-side scripting and JavaScript frameworks (such as React) including front-end technologies (such as HTML5/CSS3 or Responsive Design)
- 5+ years of experience with data structures, algorithms, and RESTful APIs.
- 3+ years of experience building scalable, distributed web applications using open source or proprietary technologies.
Preferred Qualifications- Demonstrated ability to quickly learn new technologies and solve a wide range of technical challenges.
- Experience with Test Driven Development (TDD) and understanding of CI/CD technologies.
- Knowledge and Experience with secure coding practices.
- Familiarity with orchestration and cloud technologies like Kubernetes (k8s), Kinesis, and Kafka.
- Familiarity with SIEM or information security is highly preferred.
