Senior Software Engineer (Splunk)

Meet the Team     The  Splunk Metadata  Catalog  (MDC)  team is part of the core Splunk Platform organization. We are building a high-scale  Knowledge Graph  that empowers Splunk users to discover data assets effortlessly, map complex relationships, and trace data lineage across diverse ecosystems.     You will join a fast-paced, high-impact team pioneering foundational technology central to the  Cisco Data Fabric  strategy. As a Senior Engineer, you will shape architectural decisions and build systems that scale across enterprise-grade data platforms.

As a   Senior Software Engineer   on the team, you will:     E nd-to-End Feature Delivery:   own development, and implementation of complex, high-impact features and microservices within the Metadata   Catalog   platform.   Collaborate on System Architecture:   Partner with Technical Leaders and Architects to translate product requirements into modular, scalable, and resilient distributed components.   Build for Scale & High Performance:   optimize   robust, low-latency applications capable of managing large-scale graph relationships and data lineage queries.   Drive Quality & Engineering Excellence:   Champion a   Developer Owned Quality   mindset within the team by authoring comprehensive unit, integration, and performance tests to ensure high product reliability.   Operational & Production Ownership:   Take active ownership of services in production-monitoring service health, debugging complex distributed issues,   participating   in on-call rotations, and driving post-incident reviews.   Technical Mentorship & Collaboration:   Mentor junior and mid-level engineers through detailed code reviews and design discussions, fostering continuous learning and engineering rigor across the team.

Education & experience:   Bachelor's   in computer science / related field   + 6 years of related experience, or Masters + 3 years of related experience   Software Development & Debugging:   Strong hands-on   proficiency   in an object-oriented or systems language (such as   Go, Java, or C++ ), with proven experience designing, developing, and debugging production-grade services.   Cloud & Container Technologies:   Demonstrated   experience building and operating cloud-native microservices using   AWS, Azure, or GCP , alongside containerization and orchestration tools ( Docker, Kubernetes ).   Distributed Systems Foundations:   Solid grasp of algorithms, data structures, concurrency, distributed systems architecture, and RESTful /   gRPC   API design.   CI/CD & Agile Rigor:   Proven background delivering software in fast-paced Agile environments with automated testing and continuous integration/continuous deployment (CI/CD) pipelines.   Reliability & Performance Focus:   Track record of diagnosing and solving performance bottlenecks and ensuring high availability in distributed environments.

Graph Databases & Technologies:   Hands-on experience with graph databases (e.g.,   Neo4j, AWS Neptune, Apache AGE ) and query languages/frameworks (e.g.,   Cypher, Gremlin,   GraphQL ).   Data Lineage & Metadata:   Experience with metadata   catalogs , data governance frameworks, schema registries, or knowledge graph platforms.   E vent Streaming:   Familiarity with distributed message brokers and streaming platforms (e.g.,   Apache Kafka, RabbitMQ ).   Observability:   Experience instrumenting services with observability metrics, distributed tracing, and logging frameworks (e.g.,   OpenTelemetry , Prometheus, Splunk).   Collaboration & Adaptability:   Strong communication   skills with a demonstrated ability to collaborate effectively across distributed global engineering teams in an evolving technical landscape.   Why Cisco?  At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in