Senior Software Engineer, Metadata Catalog - Splunk

The

team is part of the core Splunk Platform organization. We are building a high-scale

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

strategy. As a Senior Engineer, you will shape architectural decisions and build systems that scale across enterprise-grade data platforms.

As a

on the team, you will: •

own development, and implementation of complex, high-impact features and microservices within the Metadata Catalog platform. •

Partner with Technical Leaders and Architects to translate product requirements into modular, scalable, and resilient distributed components. •

optimize robust, low-latency applications capable of managing large-scale graph relationships and data lineage queries. •

Champion a Developer Owned Quality mindset within the team by authoring comprehensive unit, integration, and performance tests to ensure high product reliability. •

Take active ownership of services in production-monitoring service health, debugging complex distributed issues, participating in on-call rotations, and driving post-incident reviews. •

Mentor junior and mid-level engineers through detailed code reviews and design discussions, fostering continuous learning and engineering rigor across the team.

•

Bachelor's in computer science / related field + 6 years of related experience, or Masters + 3 years of related experience •

Strong hands-on proficiency in an object-oriented or systems language (such as

), with proven experience designing, developing, and debugging production-grade services. •

Demonstrated experience building and operating cloud-native microservices using

, alongside containerization and orchestration tools (

). •

Solid grasp of algorithms, data structures, concurrency, distributed systems architecture, and RESTful / gRPC API design. •

Proven background delivering software in fast-paced Agile environments with automated testing and continuous integration/continuous deployment (CI/CD) pipelines. •

Track record of diagnosing and solving performance bottlenecks and ensuring high availability in distributed environments.

•

Hands-on experience with graph databases (e.g.,

) and query languages/frameworks (e.g.,

). •

Experience with metadata catalogs , data governance frameworks, schema registries, or knowledge graph platforms. •

Familiarity with distributed message brokers and streaming platforms (e.g.,

). •

Experience instrumenting services with observability metrics, distributed tracing, and logging frameworks (e.g., OpenTelemetry , Prometheus, Splunk). •

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.