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.

Your impact

You will join a fast-paced, high-impact team pioneering foundational technology central to the Cisco Data Fabric strategy. As a Software Engineer, you will collaborate with experienced engineers and technical leaders to build systems that scale across enterprise-grade data platforms.

As a Software Engineer on the team, you will:

• Implement, test, and deliver clean, reliable features and microservices within the Metadata Catalog platform.

• Partner with Technical Leaders and Senior Engineers to understand architectural designs and translate requirements into modular, maintainable distributed components.

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

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

• Support services in production by monitoring service health, debugging issues, participating in on-call rotations, and contributing to post-incident reviews.

• Participate actively in code reviews, design discussions, and team knowledge-sharing sessions, fostering continuous learning and engineering growth.

Minimum Qualifications

• Bachelor's in Computer Science / related field + 1–3 years of related software engineering experience, or Master's + 0–2 years of related experience / relevant internships.

• Hands-on proficiency in an object-oriented or systems language (such as Go, Java, or C++), with experience developing and debugging software services.

• Practical exposure to cloud environments (AWS, Azure, or GCP), alongside containerization tools (Docker) and familiarity with Kubernetes.

• Solid grasp of algorithms, data structures, object-oriented design, basic concurrency, and RESTful / gRPC API concepts.

• Experience delivering software in Agile environments using Git version control, automated testing, and CI/CD pipelines.

• Strong analytical and troubleshooting skills with a commitment to writing clean, maintainable, and well-tested code.

Preferred Qualifications

• Foundational understanding or curiosity about metadata catalogs, data governance frameworks, schema registries, or knowledge graph platforms.

• Basic familiarity with distributed message brokers and streaming platforms (e.g., Apache Kafka, RabbitMQ).

• Familiarity with scripting in Python or Bash, and exposure to observability tools (e.g., OpenTelemetry, Prometheus, Splunk).

• Strong communication skills with an eagerness to learn, take on new technical challenges, and collaborate effectively across distributed global engineering teams.

Why Cisco? 

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.