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Remote Kubernetes Developer Jobs in Kent, WA (NOW HIRING)

The AES Group

Senior DevOps Engineer

Seattle, WA · Remote

$133K - $170K/yr

Remote - USA The AES Group is hiring an experienced Senior DevOps Engineer to join our growing ... Implement, manage, and optimize Kubernetes clusters supporting containerized microservices ...

Navtech, Inc.

Sr Java Developer with Kafka

Seattle, WA · On-site +1

$65.25 - $83/hr

Senior- Java Developer Location : 100% remote Duration: 9 Months Contract to begin with Need 10 + ... Team culture/work environment: • Team is strong on Kubernetes, Azure, Java, React talking to ...

Hirekeyz Inc

Sr .Net Developer with FHIR/AHDS

Seattle, WA · Remote

$55.75 - $73.75/hr

Remote (Seattlr, WA) Job Type: Contract * 12+ years of strong experiecne in building applications ... Kubernetes Managing containerized applications * Docker Creating and managing containers * Team ...

Zortech Solutions

MLOps Engineer

Bellevue, WA · Remote

Bellevue, WA Remote Work100% Primary SkillsAWS Cloud Formation * MLOps Engineer to work on AWS ... as Spark, Kubernetes ecosystem, etc. * 4-6 years of experience with CI/CD Dev Ops process.

Wsgr

Senior Software Developer

Seattle, WA · On-site +1

$147K - $198K/yr

You will work closely with a fully remote team of designers, developers, and stakeholders to add ... Kubernetes * Terraform * Azure The primary location for this job posting is in Palo Alto, but other ...

The AES Group

Front End Developer

Seattle, WA · Remote

$106K - $123K/yr

Remote - USA Experience Level: Senior-Level Let's create our future together at The AES Group ... Experience with containerized applications using Docker and Kubernetes on Azure (a plus)

IT Labs

Lead DevOps Engineer

Seattle, WA · Remote

$54 - $74/hr

Strong container orchestration skills -- Kubernetes and Docker * Knowledge of cloud cost ... Remote * Contract or B2B arrangement Our values We are a company that seeks the best for both our ...

Futran Tech Solutions Pvt. Ltd.

SDET

Seattle, WA · On-site +1

$57 - $73.50/hr

SDET Location - Seattle, WA - Remote Contract About the Role: We are seeking a highly skilled SDET ... DevOps) Proficiency in Git version control Familiarity with containerization (Docker, Kubernetes ...

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Senior Systems Software Engineer, Kubernetes Scale - DGX Cloud

Senior Systems Software Engineer, Kubernetes Scale - DGX Cloud

Nvidia

Seattle, WA • Remote

$68.25 - $88.75/hr

Full-time

Re-posted 2 days ago

Nvidia rating

9.3

Company rating: 9.3 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

15th of 209 rated software companies

Job description

The DGX Cloud organization at NVIDIA brings together cutting-edge hardware and software innovation to deliver industry-leading accelerated computing for the world's most adventurous AI workloads. We're a team of innovative engineers dedicated to solving some of the world's biggest challenges, constantly driving advancements, and impacting millions of lives worldwide!

We are looking for an outstanding Senior Systems Software Engineer with deep experience in distributed systems, open-source technologies such as Kubernetes and containers, and a strong background in systems performance and scalability. The ideal candidate brings broad, end-to-end experience across the stack - from GPU operator and device plugins to distributed inference serving and cloud platforms - along with the technical depth to investigate and address exciting, real-world problems at scale. In this pivotal role, you will take on the challenge of scaling AI infrastructure while optimizing total cost of ownership, driving down cost per token to unlock the next generation of AI innovation and AI factories!

What you'll be doing:

  • Drive end-to-end performance and scale characterization for the NVIDIA DGX Cloud software stack, from Kubernetes control and data planes through NVIDIA components such as GPU Operator, Network Operator, DCGM, NIM, and distributed inference serving, following issues from orchestration down to the metal.

  • Collaborate with AI researchers, developers and customers to develop innovative, automated tests that simulate real user workloads using custom-built and leading open-source tools and frameworks.

  • Deep dive into performance and scale issues in complex distributed systems, including interactions between Kubernetes and the NVIDIA software stack, to identify and resolve root causes.

  • Design and develop monitoring, reporting and analysis tools for performance and scale testing across software, GPU and CPU resources.

  • Triage, debug and root cause issues related to operating Kubernetes clusters at ultra-large scale, ensuring reliability and efficiency.

  • Build and maintain a high-velocity framework that enables continuous, always-on performance and scale testing via a modern CI/CD pipeline.

  • Document research, methodologies and results clearly and concisely, and present findings at internal and external venues, including community conferences such as KubeCon and GTC.

  • Engage efficiently with upstream communities - including Kubernetes, CNCF and NVIDIA open-source projects - to validate performance and scalability of AI workloads early and help shape design and development decisions.

What we need to see:

  • 8+ years of experience Computer Architecture, Networking, Storage systems, Accelerators and Bachelors/Masters in Engineering (preferably, Electrical Engineering, Computer Engineering, or Computer Science) or equivalent experience

  • Expertise in Kubernetes and familiarity with related CNCF projects

  • Background in working with large scale parallel and distributed accelerator-based systems

  • Expertise optimizing performance and AI workloads on large scale systems

  • Experience with performance modeling and benchmarking at scale

  • Proficiency in Golang/Python

  • Background with the NVIDIA software ecosystem in both training and inference domains

  • Expertise with at least one of public CSP infrastructure (GCP, AWS, Azure, OCI for example)

Ways to stand out from the crowd:

  • Strong operational experience with any one of the Kubernetes distributions

  • Prior experience scaling Kubernetes clusters to ultra-large node and object counts

  • Demonstrated history of working in the open-source community

  • Excellent communication and interpersonal abilities

  • PhD in relevant areas

#LI-Remote

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 June 28, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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.

What Nvidia employees say

Hours and flexibility

Workplace

Get the full story on Breakroom

Nvidia logo

About Nvidia

Sourced by ZipRecruiter

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. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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