What are the responsibilities and job description for the Senior Cloud Backend Software Engineer Consultant position at sonatus?
Sonatus is a well-funded, fast-paced, and rapidly growing company whose software products and solutions help automakers build dynamic software-defined vehicles. With over four million vehicles already on the road with top global OEM brands, our vehicle and cloud software solutions are at the forefront of automotive digital transformation. The Sonatus team is a talented and diverse collection of technology and automotive specialists hailing from many of the most prominent companies in their respective industries.
The Opportunity:
Sonatus seeks a highly motivated Cloud Backend Software Engineer for AI Applications to join our team and help us accelerate software innovations for next-generation software-defined vehicles. We are passionate about putting our customers first and creating products that solve real-world problems.
Role and Responsibilities:
- Design and implement large-scale data processing pipelines that handle a diverse set of data collected from millions of vehicles
- Develop and Deploy containerized applications using Docker and Kubernetes
- Employ and improve industry-leading, scalable, distributed open-source technologies
- Collaborate with other engineers, product owners, and designers to identify and solve challenging problems
- Create and maintain Architecture, Design, Troubleshooting, Deployment, Configuration documents
- Stay current with industry trends and advancements in data science and AI technologies
- Explain technical designs, processes, and best practices to stakeholders using visualizations and presentations.
- Take charge of projects, ensuring timely completion in a dynamic work environment.
Requirements:
- BS degree (MS or PhD preferred) in Computer Science, Math, Physics or related fields with 5 years of experience in cloud-based service and application development
- Strong knowledge of software development best practices, version control systems, and agile methodologies
- Strong programming fundamentals, particularly in data structures & algorithms, concurrency, and Golang/Java
- Deep understanding of a complex distributed system, such as Kafka, RabbitMQ, ElasticSearch
- Strong experience with cloud platforms (e.g., AWS, Azure, Google Cloud, etc.) and containerization technologies (e.g., Docker, Kubernetes, etc.)
- Have built and optimized highly available, scalable, distributed back-end services
- Experience with developing data pipeline and database-supported cloud service and application
- Ability to deeply analyze, break down, and solve complex problems
- Results-driven with a positive can-do attitude
- Good verbal and written communication skills, with the ability to explain complex ideas and solutions clearly, and to collaborate with cross-functional teams effectively
