Cloud Software Services Engineer - Backend

NVIDIA Corporation; Santa Clara (CA); Hybrid; USD 184,000 - 288,000; Full time

Job summary

A leading technology company is seeking a Cloud Software Services Engineer - Backend to architect and implement advanced GPU cloud services. The candidate will have a deep understanding of backend systems, with a focus on Java and cloud technologies. This role offers competitive salary and benefits, ideal for innovative and driven individuals eager to contribute to impactful projects.

Benefits

Equity options

Comprehensive benefits package

Qualifications

• 8+ years of hands-on experience building complex microservices.
• Experience in design and architecture of large-scale distributed systems.
• Strong knowledge of core Java and RDBMS/NoSQL databases.

Responsibilities

• Architect, design, plan, and implement complex PaaS for GPU cloud services.
• Drive technology stack and implementation methodology.
• Work closely with stakeholders and front-end engineers.

Skills

Java

OOP concepts

Design Patterns

Microservices

Test-Driven Development

API design

Debugging

Education

BS/MS in Computer Science or equivalent experience

Tools

Docker

Kubernetes

Golang

Python

Springboot

Job description

Cloud Software Services Engineer - Backend page is loaded

Cloud Software Services Engineer - Backend

Apply locations US, CA, Santa Clara US, Remote US, WA, Seattle time type Full time posted on Posted Yesterday job requisition id JR1998505

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people.Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world.

NVIDIA is looking for a strong senior back-end software engineer who can think out of the box, see the big picture, and be diligent to help redefine where GPU Cloud computing is headed. This essential role will give you an unrivaled opportunity to craft and deliver a new class of GPU service platforms for cloud computing in the up-and-coming fields of Deep Learning and AI. You will lead us into a new era of computing while working with the team to learn how we can tackle challenges in the cloud.

What you'll be doing:

• Architect, Design, plan, and implement complex PaaS for the GPU cloud services.

• Help drive the underlying technology stack and implementation methodology.

• Work closely with partners, stakeholders, UX and UI designers and front-end engineers on new products or features/improvements of existing products.

• Obsessed with modules and/or product(s) consistency across the teams.

• Nuts for test-driven development practices, help drive test automation, and CI/CD.

• Customer focused - support, maintain, and document software functionality.

What we need to see:

• BS/MS in CS or equivalent experience with 8+ years of hands-on experience building complex microservices

• Strong knowledge and experience in OOP concepts and Design Patterns. In-depth experience in design, architecture, and building complex large scale back-end systems - concurrent, distributed system, that’s performant, and highly available

• Strong knowledge of core Java - Collections API, Streams API, Concurrency, I/O. Knowledge in RDBMS and NoSQL (Cassandra, DynamoDb, Redis) databases

• Deep understanding of HTTP REST API, gRPC, security, and networking. Good understanding of API design as results of UX/UI/CLI requirements

• Ability to drive pragmatic technical discussion towards practical solutions - clean architecture/code, reusable, common shared code/framework, testable, and extensible

• Live and breathe Test-Driven development methodologies, and ability to influence other teams and stakeholders to embody this in daily practice. Write tests then code

• Disagree and commit - work across multiple teams, get buy-in and influence other teams on key factors that define the design/architecture of our platform

• Strong ability to debug issues and get to the root cause to improve the stack, while working closely with partners and team members such as DevSecOps, and SRE. Excellent verbal and written communication skills, and excellent team player

Ways to stand out from the crowd:

• Expert in Java, Springboot, Golang, Gatling, Python, Kubernetes and Docker

• Familiar with InfluxDB, Cassandra, RDS, Elasticsearch, Solr, Splunk

• Cloud practitioner - comfortable to work in one or more cloud providers: AWS, GCP, Azure

• Excel working in a dynamic, highly interactive environment. Drive to succeed as a team.

• Hunger to achieve better results, dive deeper, invent and deliver faster, but simplify, desire to lead and mentor, and humble to learn new things to share with others

NVIDIA is widely considered to be one of the technology world’s most desirable employers (#1 in Blind and Glassdoor in 2022). We work with some of the most innovative technologies, forward-thinking and hardworking people in the world. If you are a great teammate who is inquisitive, innovative, driven to succeed, and autonomous, we want to hear from you! NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for extraordinary people like you to help us accelerate the next wave of artificial intelligence.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits .

Applications for this job will be accepted at least until .NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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