Solution Architect
Qualco
- Αθήνα
- Μόνιμη
- Πλήρης Απασχόληση
- Receiving and analyzing business requirements and transforming them to viable technical solutions, mainly by leveraging Microsoft's Azure infrastructure along with RESTful API integrations.
- Ensuring the overall quality and fit of the technical solution in addition to the overall performance of the platform ecosystem.
- Participating in workshops with product owners and business analysts and be able to detect component dependencies, integrations and potential risks.
- Preparing and authoring of technical aspects of bids/proposals and response to RFIs/RFPs.
- Driving platform evolution initiatives in the context of introducing new technologies, handling technical debt, and improving application's performance and resilience.
- Authoring technical documentation and architectural diagrams. Ensuring that all stakeholders clearly understand the proposed solution.
- Staying up-to-date on the latest technologies and trends in order to develop innovative and effective solutions.
- Bachelor's degree in Computer Science, Information Systems, or a related field. Master's degree preferred.
- 3+ years of experience as Lead Software Engineer or Solution Architect.
- Experience with the design and development of Cloud based solutions (primarily on Azure).
- Strong understanding of HTTP, JSON, and RESTful API principles.
- Strong knowledge of design principles for creating scalable applications.
- Strong understanding of AI concepts, including machine learning, deep learning, and natural language processing.
- Experience with message queues, such as Kafka or RabbitMQ.
- Experience with distributed caching systems, such as Redis or Memcached.
- Experience with containerization and orchestration technologies, such as Docker and Kubernetes respectively.
- Excellent problem-solving and troubleshooting capabilities.
- Excellent communication and collaboration capabilities.
- Ability to work independently and as part of a team.
- Excellent command of English Language (written & verbal).
- Cloud certifications, such as Azure Solutions Architect Expert or AWS Certified Solutions Architect - Professional.
- Experience working with big data platforms and tools (e.g., Hadoop, Spark) is a plus.
- Experience in programming languages commonly used in AI development (e.g., Python, R).