Sys Admin + Python Infrastructure Engineer

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.

Requirements

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