Sys Admin + Python Infrastructure Engineer
⚲ Kraków, Warszawa, Wrocław, Poznań, Gdańsk
23 520 - 28 560 PLN netto (B2B)
Wymagania
- Linux / Unix
- Python
- Kafka
- Kubernetes
- Java
- GraphDB
Opis stanowiska
VirtusLab is a leading European software consulting and engineering company. Our mission is to craft clean code and practical solutions with precision and purpose. We foster a dynamic culture rooted in strong engineering, a sense of ownership, and transparency, empowering professionals to make a substantial impact in the software industry.
Project Overview & Engagement Profile
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.
Linux/Unix AdministrationAdvancedPythonAdvanced
Kafka/Streaming DataRegular
KubernetesRegular
Java (Data pipelines / APIs)Nice to have
GraphDB (Neo4j)/GraphQLNice to have
EnglishAdvanced
View available projects
Project: ESM
Project Scope
Supporting a large-scale enterprise ecosystem powering thousands of software developers by maintaining and modernizing core infrastructure and data platforms. The project focuses on end-to-end infrastructure operations, automation, and data pipeline integrations.
Key architectural priorities include mapping, tracing, and securing graph data connections (GraphDB) across the ecosystem, while maintaining rigorous security hardening, robust monitoring, and proactive alerting.
Tech stack
• Linux / Unix
• Automation & Scripting: Python
• Data Pipelines & Integration: Java, Apache Kafka (Streaming Data)
• Databases & Graph Technologies: GraphDB, Neo4j, GraphQL
• Containerization & Orchestration: Kubernetes
Key Challenges
•
Database Security & Observability: Hardening GraphDB instances to meet strict enterprise security standards while establishing reliable tracing, monitoring, and alerting across boundaries.
• Architecture Mapping: Tracing and mapping graph database interconnections across enterprise systems.
• Cross-Language Pipeline Integration: Automating and optimizing data processing pipelines across Python and Java stacks.
• Scale & Reliability: Supporting a high-scale developer ecosystem with maximum availability and seamless delivery.
Project Delivery Model
Services are provided within a modern Data Platform Engineering domain. Consultants deliver specialized expertise through structured alignment with key project areas, maintaining high technical synchronization while fostering a strong platform knowledge-sharing environment.
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
A few perks of being with us
• Building tech community
• Flexible hybrid work model
• Home office reimbursement
• Language lessons
• MyBenefit points
• Private healthcare
• Training Package
• Virtusity / in-house training
Access to the above perks is optional and completely voluntary for B2B contractors
Project Overview & Engagement Profile
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.
Linux/Unix AdministrationAdvancedPythonAdvanced
Kafka/Streaming DataRegular
KubernetesRegular
Java (Data pipelines / APIs)Nice to have
GraphDB (Neo4j)/GraphQLNice to have
EnglishAdvanced
View available projects
Project: ESM
Project Scope
Supporting a large-scale enterprise ecosystem powering thousands of software developers by maintaining and modernizing core infrastructure and data platforms. The project focuses on end-to-end infrastructure operations, automation, and data pipeline integrations.
Key architectural priorities include mapping, tracing, and securing graph data connections (GraphDB) across the ecosystem, while maintaining rigorous security hardening, robust monitoring, and proactive alerting.
Tech stack
• Linux / Unix
• Automation & Scripting: Python
• Data Pipelines & Integration: Java, Apache Kafka (Streaming Data)
• Databases & Graph Technologies: GraphDB, Neo4j, GraphQL
• Containerization & Orchestration: Kubernetes
Key Challenges
•
Database Security & Observability: Hardening GraphDB instances to meet strict enterprise security standards while establishing reliable tracing, monitoring, and alerting across boundaries.
• Architecture Mapping: Tracing and mapping graph database interconnections across enterprise systems.
• Cross-Language Pipeline Integration: Automating and optimizing data processing pipelines across Python and Java stacks.
• Scale & Reliability: Supporting a high-scale developer ecosystem with maximum availability and seamless delivery.
Project Delivery Model
Services are provided within a modern Data Platform Engineering domain. Consultants deliver specialized expertise through structured alignment with key project areas, maintaining high technical synchronization while fostering a strong platform knowledge-sharing environment.
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
A few perks of being with us
• Building tech community
• Flexible hybrid work model
• Home office reimbursement
• Language lessons
• MyBenefit points
• Private healthcare
• Training Package
• Virtusity / in-house training
Access to the above perks is optional and completely voluntary for B2B contractors
🔍 Dekoder Ogłoszenia
🟡
empowering professionals to make a substantial impact in the software industry
Oczekuje się, że będziesz pracować nad ważnymi projektami, które mają realny wpływ na branżę, co może wiązać się z dużą odpowiedzialnością.
🟡
Technical Driving & Autonomy
Oczekuje się, że będziesz samodzielnie podejmować decyzje techniczne i prowadzić projekty bez ciągłego nadzoru.
🔴
owning delivery outcomes
Będziesz w pełni odpowiedzialny za sukces lub porażkę dostarczanych rozwiązań, co może oznaczać dodatkową presję.
🟡
proactive security standards
Oprócz standardowych zadań, będziesz musiał aktywnie zajmować się kwestiami bezpieczeństwa, a nie tylko reagować na incydenty.
🟡
system architecture optimization
Nie tylko będziesz utrzymywać istniejącą infrastrukturę, ale także aktywnie ją ulepszać i optymalizować, co wymaga głębszego zrozumienia architektury.