Staff Software Engineer, Metadata Catalog - Splunk
Cisco is hiring a Staff Software Engineer, Metadata Catalog - Splunk in Krakow, Poland. Level rates it ; you can apply on Cisco.
Level's read on this job
- Little AI ●○○○ is how Level rates this software engineer role: aI is not part of the work.
- The posting mentions Go, Java and C among its tools and skills.
- Level classes it as a senior role.
- Cisco has 1,500+ other open roles on Level.
AI in this role
Design and build scalable distributed systems and knowledge graph features for enterprise data platforms.
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 Staff Engineer, you will shape architectural decisions and build systems that scale across enterprise-grade data platforms.
Your Impact
As a Staff Software Engineer on the team, you will:
Drive Architecture & Design: Lead the technical design, architecture, and implementation of complex, highly scalable features and microservices within the Metadata Catalog and Knowledge Graph platform.
Build Scalable Distributed Systems: Design, build, and optimize robust, low-latency, and high-throughput services that handle large-scale graph relationships and data lineage queries.
Raise the Engineering Bar: Champion engineering best practices, design reviews, code quality, and a robust Developer Owned Quality mindset across the team.
Technical Leadership & Mentorship: Guide, mentor, and coach mid-level and early-career engineers, fostering technical growth and operational rigor.
Cross-Functional Collaboration: Partner closely with Product Managers, Architects, SREs, and peer engineering teams across Cisco Data Fabric to deliver unified solutions.
Operational Excellence: Own services in production, establishing observability standards, SLOs/SLAs, performance benchmarks, and participating in on-call rotations and post-incident reviews.
Minimum Qualifications
Education & Experience: 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
Distributed Systems & Cloud: Proven track record of designing, building, and deploying enterprise-grade distributed systems and cloud-native microservices in production (AWS, Azure, or GCP).
Core Programming: Advanced proficiency with strong debugging and system-level programming skills in an object-oriented or systems language (e.g., Go, Java, or C++).
Containers & Orchestration: Strong hands-on experience with containerization and orchestration platforms (Docker, Kubernetes).
CI/CD & DevOps: Deep experience with modern CI/CD pipelines, automated testing frameworks, and infrastructure-as-code practices in an Agile environment.
Engineering Fundamentals: Strong mastery of data structures, algorithms, concurrency, system design, and database principles.
Preferred Qualifications
Graph Technologies: Direct experience working with graph databases (Neo4j, AWS Neptune, Apache AGE, ArangoDB) or query languages/frameworks (Cypher, Gremlin, GraphQL, RDF/SPARQL).
Metadata & Lineage Systems: Background building metadata catalogs, data governance tools, schema registries, or data lineage platforms.
Big Data & Streaming: Familiarity with high-throughput streaming and data processing systems (e.g., Apache Kafka, Apache Flink, Apache Spark).
Observability & Reliability: Experience establishing observability metrics, tracing (e.g., OpenTelemetry, Prometheus), and resilience patterns for mission-critical cloud services.
Communication & Influence: 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.
How we rate this
Staff Software Engineer, Metadata Catalog - Splunk at Cisco rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in software engineer jobs at this level
Pay
- Typical software engineer job
- $168k
This posting doesn't list pay. Use the typical software engineer figure when pay comes up. See software engineer jobs
Questions you could be asked
- Tell me about a project where distributed systems was part of your work. What did you do?
- Tell me about a project where microservices was part of your work. What did you do?
- Tell me about a project where architecture was part of your work. What did you do?
- Tell me about a project where knowledge graph was part of your work. What did you do?
- Tell me about a project where cloud computing was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Distributed Systems, Microservices, Architecture, Knowledge Graph, and Cloud Computing. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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