Senior Software Engineer - Splunk Metadata Catalog
AI in this role
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.
Your impact
As a Senior Software Engineer on the team, you will:
End-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.
Minimum Qualifications
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.
Preferred Qualifications
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.
Event 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.
At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.
Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.
We are Cisco, and our power starts with you.
How we score this
Senior Software Engineer - Splunk Metadata Catalog at Cisco scores 25 out of 100 on AI centrality, which makes it AI Level 1 of 4 (Little AI) on this board. The level measures how much of the work is AI, not seniority.
AI Level 1. The work itself involves no AI, or AI only appears as scenery, such as a company tagline.
- AI Level 480 to 100
- AI Level 360 to 79
- AI Level 240 to 59
- AI Level 10 to 39
Bands come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
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