Staff Software Engineer

541 Cisco Systems Poland sp. Z o.o.; Kraków; On-site; PLN 320,000 - 460,000; Full time

Job summary

Cisco Systems Poland sp. Z o.o. in Kraków seeks a Staff Engineer for the Splunk Metadata Catalog (MDC) team to shape architectural decisions and build scalable systems central to the Cisco Data Fabric strategy.

You will drive design of complex, scalable features and mentor engineers while collaborating with Product, SRE, and cross-functional teams to deliver unified data platform solutions.

Qualifications

• Distributed systems and cloud experience designing large-scale, enterprise-grade software.
• Strong debugging and system-level programming in an OO language (Go, Java, or C++).
• Experience with containers/orchestration and modern CI/CD practices in Agile environments.

Responsibilities

• Lead architecture, design, and implementation of scalable features and microservices.
• Design scalable distributed services that handle large graph relationships and data lineage queries.
• Mentor engineers and uphold engineering best practices and code quality.

Skills

Distributed systems

Cloud engineering

Object-oriented programming

Education

Bachelor's in CS/Engineering

Masters in related field

PhD in related field

Tools

Docker

Kubernetes

Job description

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

• 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.

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. Cisconians power the future. We make impact as a team, innovating fast and fearlessly to create meaningful solutions on a large scale. The depth and breadth of our technology doesn't just benefit our customers – it also means limitless opportunities for us to experiment and learn. We understand the power each of our unique backgrounds bring when we work together. Because of that, we have a global network of thinkers, doers, experts, and curious creators who help one another do their life’s best work.