Full-Stack Developer (Java / Angular / Azure)
Tech stack:
- Backend: Java, Spring Boot
- Frontend: TypeScript, JavaScript, Angular / React / Vue
- Cloud: Microsoft Azure, Azure IoT Hub, Azure Data Explorer (ADX)
- Data & Messaging: MQTT, Telemetry Data Processing, REST APIs
- DevOps & Infrastructure: Docker, Kubernetes, Git
- Architecture: Distributed Systems, Cloud-Native Solutions
We are looking for an experienced Full-Stack Java Developer to join our team and work on an exciting project for one of the leading global companies in the automotive industry. Our client is driving innovation in mobility and developing technology solutions that shape the future of connected vehicles.
If you enjoy solving complex technical challenges, working with cloud-native technologies, and contributing to architecture decisions, we'd love to hear from you.
About Spyrosoft
Spyrosoft is an authentic, cutting-edge software engineering company, established in 2016. In 2021 and 2022, we were among the fastest growing technology companies in Europe, according to the Financial Times. We were founded by a group of tech experts with established backgrounds in software engineering, who created an ‘engineer-to-engineer’ workplace, powered by enthusiasm, fairness and authentic relationships. Having a unique offering, which bridge the gap between technology and business, we specialise in technology solutions for industry 4.0, automotive, geospatial, healthcare & life sciences, employee experience & education and financial services industries.
- Strong experience with Java and Spring Boot.
- Good knowledge of TypeScript and/or JavaScript.
- Experience with at least one modern frontend framework: Angular, React, or Vue.
- Hands-on experience designing and integrating REST APIs.
- Practical experience with Microsoft Azure.
- Experience working with Azure IoT Hub.
- Good understanding of MQTT.
- Experience with Azure Data Explorer (ADX) or similar technologies used for processing and analyzing large datasets.
- Experience working with telemetry and high-volume data.
- Strong knowledge of Git and Docker.
- Basic knowledge of Kubernetes.
- Experience working with distributed systems.
- Strong analytical, debugging, and troubleshooting skills, especially in production environments.
Nice to have:
- Experienced in using AI tools in day-to-day workflow
- Experience with OTA (Over-the-Air) update solutions or Connected Vehicle platforms.
- Experience working with AWS.
- Understanding of event-driven architectures.
- Experience with Apache Kafka.
- Familiarity with Device Management Platforms.
- Experience using Terraform.
- Background in IoT ecosystems, device communication, or real-time data processing.