Backend Software Engineer

About the Role Join the Vehicle Manager Cloud team to build high-performance backend services for a cloud-native event processing platform. You will focus on scalable data ingestion, low-latency processing, and integrating AI-driven insights into our core products. What You'll Do

• Design and implement high-performance backend microservices within a modern cloud-native architecture.
• Directly collaborate with US-based engineering teams on a daily basis, contributing to global product roadmaps and architectural decisions.
• Develop cloud-native event processing systems that ensure low-latency data flow and high availability.
• Optimize data streaming and ingestion using technologies like Kafka or Azure Event Hubs to process high volumes of real-time events.
• Architect high-performance data solutions utilizing Redis for caching and SQL Server or Postgres for relational data management.
• Integrate AI-driven services to enhance raw data with advanced attributes and intelligence.
• Deploy and manage containerized services using Kubernetes (K8s) and Docker to maintain a stateless and scalable environment.
• Leverage AI-assisted engineering tools (such as GitHub Copilot or Cursor) to accelerate development, debugging, and code quality.
• Drive engineering excellence through automated testing, high unit test coverage, and participation in technical design and code reviews. What We're Looking For
• Bachelor’s Degree in Computer Science, Software Engineering, or a related technical field.
• Minimum of 3 years of professional backend software development experience.
• Strong proficiency in C#/.NET (preferred); Java or Golang with solid CS fundamentals also welcomed.
• Experience with SQL Server, Postgres, or other major relational databases.
• Hands-on experience with Docker and Kubernetes for container orchestration.
• Experience with distributed messaging systems (Kafka, Event Hubs, or RabbitMQ).
• Familiarity with major cloud providers (AWS, Azure, or GCP).
• Proficiency in English (written and verbal) for collaboration in a global environment. Nice to Have
• Experience leveraging AI tools (Copilot, Cursor) for engineering and testing.
• Strong commitment to code quality with high unit test coverage and TDD.
• Knowledge of automation testing frameworks and CI/CD pipeline integration.
• Experience with NoSQL databases and distributed caching (Redis, Elasticsearch).
• A growth mindset with a desire to learn new technologies and improve processes. Compensation & Benefits
• Salary range and benefits not disclosed in the posting.