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Staff Software Engineer

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SeniorFull-time
#440714·Dodano 3 dni temu·0
Źródło: Cisco
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Tech Stack / Keywords

GoJavaC++DockerKubernetesAWSAzureGCPNeo4jApache 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.
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