Project Description

• Collaboration on the organization’s global logistics ecosystem, where dozens of internal and partner applications are interconnected to accelerate data flow in business-critical processes
• Role of Senior Architect in a smaller DevOps team; translating business requirements into technical reality and maintaining architectural direction across domains
• Designing solution architecture and design, including monolith, SOA / EDA, and microservices patterns
• Data modeling: conceptual, logical, and physical data layers, data governance, and data quality
• Selecting integration approaches and technologies, designing interfaces and contracts, designing and managing APIs
• Technical leadership of integrations on platforms such as IBM MQ, MuleSoft, Apache Kafka
• Technical oversight of development in Java and over relational and modern NoSQL databases
• Implementation of standards, security and operational practices, automation, and observability
• End-to-end responsibility for the outcome: from estimation and high-level design to architectural review and transition into production
• Supporting bimodal delivery (bimodal strategy): stable core vs. fast experiments, balancing speed and risk
• Collaboration with PO, BA, development, infrastructure, and security; facilitating decisions and mitigating technical debt
• Long-term cooperation in Prague, onsite 2 days per week, rest remote

Project Requirements

Advanced experience with:

• Solution architecture in large enterprises (at least 5 years)
• Integration platforms IBM MQ, MuleSoft, Apache Kafka
• Architectural patterns: monolith, SOA / EDA, microservices
• Leading technical discussions and decisions across stakeholders

Experience with:

• Development in Java (at least 5 years) and API design
• DevOps operations and practices (CI/CD, Infrastructure as Code, monitoring, incident management)
• Databases: relational (e.g., PostgreSQL, Oracle) and modern NoSQL (e.g., MongoDB, Cassandra)
• Designing integration flows, contracts, and secure data transfer in distributed systems

Advanced knowledge of:

• Data modeling (conceptual, logical, physical), normalization, data standards
• Principles of reliability and scalability in distributed architectures, event-driven design
• Security of integration solutions (authentication, authorization, encryption, audit)
• English at least B2 (international environment)

Knowledge of:

• Observability tools and practices (logging, metrics, tracing)
• Basic IT economics: TCO, cost estimation, building business cases
• Working in hybrid cloud and on-prem environments (e.g., AWS / Azure / GCP as an alternative)

Nice to have:

• Experience in the logistics / supply chain domain
• Practice with domain-driven design, contract testing, performance engineering
• Architecture or integration platform certifications

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