Python & MLOps Engineer

🏢 Summary: Join a developer tooling initiative supporting a large-scale migration to JFrog Artifactory. The role focuses on Python-based automation, CLI tools, REST APIs, microservices, CI/CD workflows, and dependency management for enterprise engineering teams. 🗂️ Requirements: Advanced Python proficiency, Experience with FastAPI or Flask, Relational and non-relational database knowledge, Docker and container registry experience, CI/CD pipeline design and optimization, Performance, stress, and latency testing experience, Git and Git-based workflow proficiency, English B2/C1, Polish B2/C1 📃 Skills: Python, FastAPI, Flask, Docker, SQL, NoSQL, Jenkins, GitLab, GitHub, Git, GitOps, Artifactory, JFrog, CI/CD, REST, Microservices 🏢 Description: 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. About The engagement involves collaborating with a specialized Dev-Tooling / Software Engineering stream focused on supporting a large-scale migration from a legacy in-house artifact storage solution to JFrog Artifactory. Python & API development: Advanced Python Web Frameworks (preferably FastAPI): Advanced Docker : Regular Relational & Non-relational databases (SQL, NoSQL) Regular CI/CD: Regular Jenkins: Regular Artifactory: Nice to have English: Advanced Polish: Advanced Project: Smart Artifacts Engine Project Scope Artifactory will serve as the central repository across the enterprise for high-volume binary assets, compiled packages, software libraries, and large data files. Given the massive scale of the artifact repository and the complexity of the migration, this initiative is driven by software engineering and automation rather than standard operational DevOps tasks. The primary focus centers on developing robust, reliable developer tools and services to streamline the onboarding experience and automate workflows for engineering teams across enterprise environments. Scope of services Developer Tooling Engineering: Designing, building, and maintaining automation scripts, CLI tools, and background services to facilitate seamless artifact migration and continuous integration. Onboarding & Workflow Automation: Delivering automated onboarding mechanisms for internal dev teams, simplifying dependency handling, package publishing, and access management. Dependency Management Optimization: Resolving complex dependency resolution challenges in Python and Docker environments during high-throughput repository transitions. Lightweight Backend Development: Creating internal REST APIs and microservices to support migration operations and integrating Artifactory into the existing tooling ecosystem. Project Enviroment The project team operates in a distributed setup between New York and London. With the primary Technical Lead based in New York, the engagement offers high flexibility, allowing seamless cooperation aligned with European business hours. What we expect in general Strong proficiency in Python with expertise in building clean, maintainable code, test automation frameworks, and backend services (e.g., FastAPI, Flask). Solid understanding of database systems, both relational (SQL) and non-relational (NoSQL), including schema design and query optimization. Hands-on experience with containerization (Docker) and container registry management, with a focus on optimizing image sizes and build times. Proven track record of designing, maintaining, and optimizing robust CI/CD pipelines (e.g., GitLab CI, GitHub Actions, Jenkins) supporting automated testing and artifact deployment. Experience in designing and executing performance, stress, and latency testing solutions, with a strong focus on tracking capacity and system metrics. Strong proficiency with Git (version control, branching strategies, conflict resolution) and Git-based workflows (e.g., GitOps, Pull/Merge Requests). Good command of English (B2/C1). Good command of Polish (B2/C1) 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

🏢 Summary: Infrastructure engineering engagement supporting a large-scale developer ecosystem through Linux/Unix operations, Python automation, graph database security, and data-platform modernization. The role owns infrastructure delivery, dependency mapping, monitoring, and integration of Python- and Java-based data pipelines, with a focus on reliability and security. 🗂️ Requirements: 5+ years of commercial system administration or infrastructure engineering experience, Linux/Unix administration, Networking concepts, Python infrastructure automation and scripting, Complex system performance troubleshooting, English proficiency at B2/C1 level or higher 📃 Skills: Linux, Unix, Python, Networking, Kafka, Java, GraphDB, Neo4j, GraphQL, Kubernetes, Snowflake 🏢 Description: 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 Administration Advanced Python Advanced Kafka/Streaming Data Regular Kubernetes Regular Java (Data pipelines / APIs) Nice to have GraphDB (Neo4j)/GraphQL Nice to have English Advanced 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