Staff 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 Staff Engineer, you will shape architectural decisions and build systems that scale across enterprise-grade data platforms.

As a

on the team, you will: •

Lead the technical design, architecture, and implementation of complex, highly scalable features and microservices within the Metadata Catalog and Knowledge Graph platform. •

Design, build, and optimize robust, low-latency, and high-throughput services that handle large-scale graph relationships and data lineage queries. •

Champion engineering best practices, design reviews, code quality, and a robust Developer Owned Quality mindset across the team. •

Guide, mentor, and coach mid-level and early-career engineers, fostering technical growth and operational rigor. •

Partner closely with Product Managers, Architects, SREs, and peer engineering teams across Cisco Data Fabric to deliver unified solutions. •

Own services in production, establishing observability standards, SLOs/SLAs, performance benchmarks, and participating in on-call rotations and post-incident reviews.

•

Bachelor's in computer science / engineering + 8 years of related experience, or Masters + 6 years of related experience, or PhD + 3 years of related experience •

Proven track record of designing, building, and deploying enterprise-grade distributed systems and cloud-native microservices in production (AWS, Azure, or GCP). •

Advanced proficiency with strong debugging and system-level programming skills in an object-oriented or systems language (e.g.,

). •

Strong hands-on experience with containerization and orchestration platforms (

). •

Deep experience with modern CI/CD pipelines, automated testing frameworks, and infrastructure-as-code practices in an Agile environment. •

Strong mastery of data structures, algorithms, concurrency, system design, and database principles.

•

Direct experience working with graph databases (

) or query languages/frameworks (

). •

Background building metadata catalogs , data governance tools, schema registries, or data lineage platforms. •

Familiarity with high-throughput streaming and data processing systems (e.g.,

). •

Experience establishing observability metrics, tracing (e.g., OpenTelemetry , Prometheus), and resilience patterns for mission-critical cloud services. •

Excellent verbal and written communication skills with the ability to articulate complex technical trade-offs to both technical and non-technical stakeholders.

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.