Cloud Platform Software Engineer
Groq
- Pay
- $223.6K to $365.8K
- a year
- Location
- Dallas, United States
- Work style
- On-site
- Job type
- Full time
- Posted
- Oct 7
- 13 days ago
Career path
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About the company
Groq
Semiconductors · 51 to 200 employees
Inference is the engine that powers AI, and Groq was built from the silicon up to deliver the world's fastest inference at scale. We pioneered the LPU—the first processor designed specifically for AI inference—and are transforming that innovation into a global cloud platform powering production AI workloads. With the capital, infrastructure, and team to execute, we're uniquely positioned to define the next era of AI infrastructure. The opportunity is massive, and it's still wide open. Now let's go build it!
What you'll do
- Own the architecture, development, reliability, and evolution of Groq's Kubernetes-based platform
- Design and build Kubernetes-based systems that operate reliably and efficiently at scale
- Build software, automation, and platform capabilities that simplify how workloads are deployed, operated, and scaled
- Improve the resilience, observability, performance, and operational efficiency of the Kubernetes platform
- Identify and eliminate reliability and scalability bottlenecks across clusters and supporting infrastructure
- Own platform capabilities through their full lifecycle, from design and implementation through production operations and continuous improvement
- Partner with software and infrastructure engineers to translate workload requirements into durable platform capabilities
- Debug complex production issues spanning Kubernetes, distributed systems, networking, compute, and cloud infrastructure
What you need
- Strong software engineering fundamentals with experience building and operating production infrastructure
- Deep hands-on experience with Kubernetes and proficiency designing Kubernetes-based architectures
- Experience owning Kubernetes environments in production, including deployment, scaling, upgrades, reliability, and troubleshooting
- Experience building software and automation for cloud or infrastructure platforms
- Strong understanding of distributed systems and the reliability and scalability challenges of operating infrastructure at scale
- Experience with cloud infrastructure and modern infrastructure-as-code and automation practices
- Ability to debug complex problems across application, Kubernetes, networking, compute, and infrastructure layers
Key skills
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Perks
- Long-Term Incentive Program
- employee benefits
See full description on company page, apply now