VirtusLab
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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 Originally posted on Himalayas
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