Nvidia Principal Cloud Software Engineer 

United States, Texas 

200549377

What you'll be doing:

• Architect, build, plan, implement, and operate complex PaaS for GPU cloud services.

• Drive the underlying technology stack and implementation methodology.

• Work closely with collaborators, customers, UX/UI designers, and front-end engineers on developing new products or enhancing existing features.

• Ensure consistency across modules and/or products within the team.

• Champion the adoption of development practices that prioritize testing, including advancing test automation and CI/CD.

• Maintain a customer-centric approach by supporting, maintaining, and detailing software functionality.

What we need to see:

• BS/MS in Computer Science or equivalent experience with 15+ years of hands-on experience building complex services.

• Strong knowledge and experience in OOP concepts and Build Patterns, with in-depth experience in crafting and composing complex, large-scale back-end systems.

• Expertise in core Java, including Collections API, Streams API, Concurrency, and I/O.

• Proficiency in RDBMS and NoSQL databases such as Cassandra, DynamoDB, and Redis.

• Deep understanding of HTTP REST API, gRPC, security, and networking, along with a good grasp of API development influenced by UX/UI/CLI requirements.

• Ability to drive pragmatic technical discussions towards practical solutions that are clean, reusable, testable, and extensible.

• Dedication to collaborative development approaches, with the capability to impact daily operations across teams and collaborators.

• Strong debugging skills to pinpoint underlying issues and enhance the technology stack, working closely with colleagues and team members like DevSecOps and SRE or those with equivalent experience.

• Strong verbal and written communication abilities, with a demonstrated history of being a standout colleague.

Ways to stand out from the crowd:

• Operational experience with large-scale web applications.

• Expertise in Java, Spring Boot, Golang, Gatling, Python, Kubernetes, and Docker.

• Familiarity with InfluxDB, Cassandra, RDS, Elasticsearch, Solr, and Splunk.

• Comfort working with one or more cloud providers: AWS, GCP, or Azure.

• Ability to excel in a dynamic, highly interactive environment, driving team success.