Sr. Software Engineer - Backend

Senior Software Engineer
- Backend

Magna New Mobility is seeking a Senior Software Engineer
- Backend to oversee the development of our core software product. As a Senior Software Engineer with cloud experience, you will be responsible for designing, developing, and maintaining the server-side components of our applications. You will work closely with cross-functional teams to ensure our systems are scalable, reliable, and secure. Your expertise in cloud platforms will be crucial in optimizing our infrastructure and deploying solutions that leverage cloud-native features.

• Design & Development: Develop robust, scalable, and high-performance backend systems and APIs. Design and implement server-side logic and integrate with front-end components.
• Cloud Integration: Leverage cloud platforms (e.g., AWS, Azure, Google Cloud) to deploy, manage, and scale applications. Implement cloud-based solutions for storage, computing, and networking.
• Database Management: Design and maintain databases, ensuring data integrity, security, and performance. Work with both SQL and No
  
  SQL databases as needed.
• Security: Implement and maintain security best practices, including authentication, authorization, and data protection.
• Performance Optimization: Identify and resolve performance bottlenecks. Monitor application performance and implement improvements as needed.
• Collaboration: Work with product managers, front-end developers, and other stakeholders to understand requirements and deliver solutions. Participate in code reviews and contribute to team knowledge sharing.
• Troubleshooting: Diagnose and resolve issues related to backend systems and cloud infrastructure. Provide support for production environments and ensure high availability.

• 7+ years of experience: In backend development with a strong focus on cloud technologies required.
• Bachelor's degree: Or equivalent experience in computer science, Computer Engineering, or relevant technical field required. Masters Degree preferred.
• Experience with Microservices: Knowledge and experience with microservices architecture.
• Technical Skills: Proficiency in backend programming languages such as Go lang, Python, Node.js, C/C++ or Java. Experience with cloud platforms (AWS, Azure, Google Cloud) and related services (e.g., EC2, Lambda, S3, Cloud Formation). Fundamental understanding on distributed systems.
• Database Knowledge:
  
  Experience with relational databases (e.g., MySQL, PostgreSQL) and No
  
  SQL databases (e.g., MongoDB, Redis, Cassandra).
• API Development: Experience in designing and building gRPC, RESTful APIs and/or GraphQL.
• Dev Ops: Familiarity with CI/CD pipelines, containerization (Docker), and orchestration tools (Kubernetes).
• Security Best Practices: Understanding of security principles and best practices in cloud environments.

• Prior experience: Working in a start-up environment or product development from scratch will be a plus.
• Certifications: Cloud certifications (e.g., AWS Certified Solutions Architect, Microsoft Certified: Azure Developer Associate) are a plus.
• Experience: Working with robotics/robotic vehicles a plus.

• Normal amount: Of sitting or standing, average mobility to move around an office environment, able to conduct normal amount of work at a computer.
• Hybrid in-office policy: 3 days in office per week, but will be needed to work up to 100% in office as the work requires.
• Travel: Domestic and international travel up to ~10%.

At Magna, we believe that a diverse workforce is critical to our success. That's why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously.

We discourage you from sending applications via email or traditional mail to comply with GDPR requirements and your local Data Privacy Law.

AI-Assisted Screening Disclosure

As part of our commitment to a fair, consistent, and efficient recruitment process, we may use artificial intelligence (AI) tools to assist in the initial screening of applications submitted through our Workday system. These tools help identify qualifications and experience that align with the role requirements. Please note that AI is used solely to support our recruiters. Final decisions are always made by the hiring manager and the hiring team.

Importantly, no applicant data is shared externally through these AI…