Cloud Platform Software Engineer

Groq•New York, NY

7h•$223,600 - $365,800•Hybrid

About The Position

Groq is seeking a Cloud Platform Software Engineer to own and evolve the Kubernetes platform and adjacent hyperscaler technologies that underpin Groq's cloud infrastructure. The role involves building reliable, scalable platform capabilities to enable engineering teams to deploy and operate workloads efficiently as Groq's infrastructure grows. The position is based in one of three hiring hubs: Dallas, San Francisco, or New York City area. Initially, the role will offer remote flexibility, with an expectation to transition to onsite work once local Groq offices are established.

Requirements

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.
Comfortable taking end-to-end ownership of production systems and making pragmatic architectural tradeoffs.
Strong collaborator who can partner across engineering teams and translate their needs into scalable platform solutions.
Motivated by ownership, technical excellence, reliability, and building durable infrastructure.

Responsibilities

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 understand workload requirements and translate them into durable platform capabilities.
Establish and improve Kubernetes engineering patterns, tooling, and operational practices.
Debug complex production issues spanning Kubernetes, distributed systems, networking, compute, and cloud infrastructure.
Help shape the technical direction of the platform as its scale and requirements evolve.