Supermicro
Linkedin · Posted 3d ago
Software Engineer
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Indexed description
Job Req ID: 28991About SupermicroSupermicro® is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide. We are the #5 fastest growing company among the Silicon Valley Top 50 technology firms. Our unprecedented global expansion has provided us with the opportunity to offer a large number of new positions to the technology community. We seek talented, passionate, and committed engineers, technologists, and business leaders to join us.
Essential Duties And Responsibilities
- Develop and maintain scalable backend services and APIs
- Lead or contribute to service architecture design, particularly in microservices and event-driven systems
- Optimize data queries and system performance for relational and NoSQL databases
- Build and manage CI/CD workflows using Docker and Git
- Integrate AI-related features (e.g., model inference APIs, vector databases, NLP pipelines) into backend systems
- Participate in code reviews and continuously improve code quality and maintainability
- Collaborate with frontend developers and product managers to deliver end-to-end solutions
- Maintain and troubleshoot production systems and participate in on-call support when needed
- Strong proficiency in Python for backend development (FastAPI)
- Solid understanding of Git-based development workflows
- Experience with Docker for environment setup, packaging, and deployment
- Familiarity with SQL or NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB)
- Understanding of RESTful API design, authentication (OAuth2/JWT), caching, and performance best practices
- Knowledge or experience with AI/ML systems (e.g., integrating ML APIs, handling inference pipelines)
- Strong problem-solving skills and ability to work independently in a collaborative environment
- Experience in Go or Java for backend development (Python remains the top priority)
- Basic frontend knowledge (JavaScript/TypeScript with Vue or React)
- Familiarity with distributed systems tools (e.g., Kafka, Redis, RabbitMQ)
- Experience with DevOps tools (e.g., Kubernetes, Prometheus, Grafana)
- Hands-on experience deploying ML models as APIs or integrating LLMs
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