Sys Admin + Python Infrastructure Engineer
Summary
Senior sysadmin and Python automation engineer building and securing graph-database infrastructure, data pipelines, and Kubernetes clusters.
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
