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Salary
$77k – $122k per year (Estimated)
Location
Remote/Hybrid (Kraków, Poland)
Seniority
Senior · 6+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
Cisco Systems is an American networking company founded in 1984 by Stanford computer scientists Leonard Bosack and Sandy Lerner, and headquartered in San Jose, California. It is the largest supplier of enterprise networking equipment in the world, building the routers, switches, wireless access points and optical systems that carry traffic across corporate networks, service providers and data centres, together with the software and silicon that run them. The company has diversified heavily into security, observability through Splunk, collaboration with Webex, and AI infrastructure networking, and now earns a growing share of revenue from software subscriptions rather than hardware sales.

Meet the Team

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.

You will join a fast-paced, high-impact team pioneering foundational technology central to the Cisco Data Fabric strategy. As a Senior Engineer, you will shape architectural decisions and build systems that scale across enterprise-grade data platforms.

Your impact

As aSenior Software Engineer on the team, you will:

  • End-to-End Feature Delivery: own development, and implementation of complex, high-impact features and microservices within the MetadataCatalogplatform.

  • Collaborate on System Architecture: Partner with Technical Leaders and Architects to translate product requirements into modular, scalable, and resilient distributed components.

  • Build for Scale & High Performance: optimizerobust, low-latency applications capable of managing large-scale graph relationships and data lineage queries.

  • Drive Quality & Engineering Excellence: Champion aDeveloper Owned Qualitymindset within the team by authoring comprehensive unit, integration, and performance tests to ensure high product reliability.

  • Operational & Production Ownership: Take active ownership of services in production-monitoring service health, debugging complex distributed issues,participatingin on-call rotations, and driving post-incident reviews.

  • Technical Mentorship & Collaboration: Mentor junior and mid-level engineers through detailed code reviews and design discussions, fostering continuous learning and engineering rigor across the team.

Minimum Qualifications

  • Education & experience: Bachelor'sin computer science /related field+ 6 years of related experience, or Masters + 3 years of related experience

  • Software Development & Debugging: Strong hands-onproficiencyin an object-oriented or systems language (such asGo, Java, or C++), with proven experience designing, developing, and debugging production-grade services.

  • Cloud & Container Technologies: Demonstratedexperience building and operating cloud-native microservices using AWS, Azure, or GCP, alongside containerization and orchestration tools (Docker, Kubernetes).

  • Distributed Systems Foundations: Solid grasp of algorithms, data structures, concurrency, distributed systems architecture, and RESTful /gRPCAPI design.

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

  • Reliability & Performance Focus: Track record of diagnosing and solving performance bottlenecks and ensuring high availability in distributed environments.

Preferred Qualifications

  • Graph Databases & Technologies: Hands-on experience with graph databases (e.g., Neo4j, AWS Neptune, Apache AGE) and query languages/frameworks (e.g.,Cypher, Gremlin,GraphQL).

  • Data Lineage & Metadata: Experience with metadatacatalogs, data governance frameworks, schema registries, or knowledge graph platforms.

  • E vent Streaming: Familiarity with distributed message brokers and streaming platforms (e.g.,Apache Kafka, RabbitMQ).

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

  • Collaboration & Adaptability: Strong communicationskills with a demonstrated ability to collaborate effectively across distributed global engineering teams in an evolving technical landscape.

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.

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