Fullstack Tech Lead with French (Java/Angular/Kafka)
Thales Vezi toate joburile
- București
- Permanent
- Full-time
- Actively participate in defining and implementing solutions in close collaboration with the Product Owner, Business Analysts, other technical teams, and business stakeholders.
- Serve as a technical reference for the team, guiding and mentoring Fullstack developers in the design and development of robust and scalable applications.
- Design, implement, and optimize Kafka data flows within an event-driven architecture.
- Take part in all Agile ceremonies of the team (daily, sprint review, retrospectives, etc.) and support the team’s continuous improvement efforts.
- Ensure the quality, performance, and security of delivered solutions by promoting best practices, automated testing, and code reviews.
- Work hand-in-hand with business teams to understand their needs and translate them into effective technical solutions.
- Be proactive in architectural, technological, and methodological choices.
- Fluent French, both written and spoken, is mandatory.
- Demonstrated experience as a Fullstack Tech Lead on large-scale projects, ideally within a microservices architecture context.
- Expertise in both Front-End (Angular or equivalent) and Back-End (Java/Spring Boot, etc.) environments.
- Strong proficiency in integrating and deploying Kafka (setup, performance, monitoring, flow optimization).
- Solid experience designing and exposing REST and/or GraphQL APIs.
- Deep understanding of event-driven architectures and related paradigms (pub/sub, event management, resilience).
- Familiarity with DevOps practices: CI/CD, monitoring, log management, etc.
- Proven ability to write and maintain clear and comprehensive technical documentation.
- Excellent communication and team leadership skills.
- Experience working in an Agile team.
- Experience in the banking or financial sector.
- Knowledge of other messaging technologies (RabbitMQ, Pulsar, etc.).
- Proficiency in containerization (Docker, Kubernetes).
- Experience with real-time data processing and/or Big Data architectures.
- Practice in TDD/BDD and associated testing frameworks.