Cisco

Staff Software Engineer, Metadata Catalog - Splunk

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SeniorHybryda·KrakówFull-time

#440714·Dodano miesiąc temu·2

Źródło: Cisco

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Tech Stack / Keywords

Go Java C++Docker Kubernetes AWS Azure GCP Neo4j Apache Kafka

Firma i stanowisko

The Splunk Metadata Catalog (MDC) team is part of the core Splunk Platform organization building a high-scale Knowledge Graph to enable data asset discovery, relationship mapping, and data lineage tracing. The team is a foundational part of the Cisco Data Fabric strategy.

Wymagania

Bachelor's in computer science/engineering plus 8 years related experience, or Master's plus 6 years, or PhD plus 3 years.
Proven experience designing, building, and deploying enterprise-grade distributed systems and cloud-native microservices (AWS, Azure, or GCP).
Advanced proficiency in object-oriented or systems languages such as Go, Java, or C++ with strong debugging and system-level programming skills.
Strong hands-on experience with containerization and orchestration platforms (Docker, Kubernetes).
Deep experience with CI/CD pipelines, automated testing frameworks, and infrastructure-as-code practices in Agile environments.
Strong mastery of data structures, algorithms, concurrency, system design, and database principles.

Preferred Qualifications:

Experience with graph databases (Neo4j, AWS Neptune, Apache AGE, ArangoDB) or query languages (Cypher, Gremlin, GraphQL, RDF/SPARQL).
Background building metadata catalogs, data governance tools, schema registries, or data lineage platforms.
Familiarity with high-throughput streaming and data processing systems (Apache Kafka, Apache Flink, Apache Spark).
Experience establishing observability metrics, tracing (OpenTelemetry, Prometheus), and resilience patterns for cloud services.
Excellent verbal and written communication skills to articulate complex technical trade-offs.

Obowiązki

Architecture & Design:

Lead technical design and implementation of scalable features and microservices within the Metadata Catalog and Knowledge Graph platform.

Distributed Systems:

Design, build, and optimize robust, low-latency, high-throughput services handling large-scale graph relationships and lineage queries.

Engineering Excellence:

Champion engineering best practices, design reviews, code quality, and Developer Owned Quality mindset.

Leadership & Mentorship:

Guide, mentor, and coach mid-level and early-career engineers.

Collaboration:

Partner with Product Managers, Architects, SREs, and engineering teams across Cisco Data Fabric.

Operational Excellence:

Own production services including observability standards, SLOs/SLAs, performance benchmarks, on-call rotations, and incident reviews.

Cisco

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