This engagement involves key infrastructure delivery built around graph databases (GraphDB / Neo4j). The focus combines high-level systems engineering and infrastructure automation with proactive security standards and system architecture optimization.
Key Areas of Delivery:
- -Infrastructure Operations & Automation: Administering Linux/Unix environments and engineering infrastructure automation utilizing Python.
- -Database Hardening & Security: Hardening graph database environments, implementing top-tier security standards, and designing monitoring and alerting mechanisms.
- -Dependency Mapping: Analyzing and mapping technical dependencies between databases, data pipelines, and enterprise-wide systems.
- -Data Infrastructure: Engineering and optimizing data processing pipelines integrating Python- and Java-based components.
- -Technical Driving & Autonomy: Collaborating independently with technical stakeholders, driving solutions, and owning delivery outcomes.
Sys Admin + Python Infrastructure Engineer (Senior)
Details:
Sys Admin + Python Infrastructure Engineer - Careers VirtusLab
Linux / Unix Administration - Advanced
Python - Advanced
Kafka / Streaming Data - Regular
Kubernetes - Regular
Java (Data pipelines / APIs) - Nice to have
GraphDB (Neo4j) / GraphQL - Nice to have
Expected Capabilities & Expertise:
- Solid background in Linux administration and deep understanding of networking concepts
- Proven expertise in using Python for infrastructure automation, scripting, and system tool development
- Advanced analytical capabilities for diagnosing, troubleshooting, and resolving complex system performance issues at scale
- 5+ years of commercial experience in system administration or infrastructure engineering
- English proficiency at B2/C1 level or higher, enabling seamless technical communication
Nice to Have:
- Practical experience with Kafka
- Working knowledge of Java
- Hands-on experience with Graph Databases (e.g., Neo4j) or query-layer technologies (GraphQL APIs, Semantic Views)
- Experience in building or maintaining data ingestion pipelines
- Hands-on knowledge of Kubernetes
- Familiarity with the Snowflake data platform
- Solid understanding of networking topologies and firewall technologies