Harrison Clarke

Founding Cloud Infrastructure Engineer (GPU Optimization)

SAN MATEO, CAPosted 22 days ago

Job summary

  • Job post source

    This job is from a recruiting firm hiring for a separate company

  • Job overview

    The Founding Cloud Infrastructure Engineer role at a leading AI startup involves architecting and managing cloud infrastructure optimized for AI workloads, focusing on GPU optimization and high-performance computing.

  • Responsibilities and impact

    The engineer will design scalable cloud infrastructure, deploy containerized applications using Kubernetes and Docker, automate provisioning with Terraform and Ansible, and manage distributed systems with Ray and Kafka, optimizing GPU resources for AI tasks.

  • Experience and skills

    The role requires 5+ years in cloud infrastructure, DevOps, or SRE, expertise in Kubernetes, Docker, Terraform, Ansible, GPU operations, distributed computing frameworks like Ray and Dask, Kafka, cloud platforms (AWS, GCP, Azure), and scripting skills in Python, Bash, or Golang.

  • Career development

    The role offers technical autonomy and exposure to real-world AI and data challenges, enabling growth in cutting-edge cloud and AI infrastructure technologies.

  • Company information

    The company is a venture-backed AI startup focused on revolutionizing enterprise data management by bridging business knowledge and data through generative AI and semantic AI layers.

  • Application process

    Candidates are encouraged to apply directly as indicated in the job post.

  • Unique job features

    The position offers the opportunity to work with advanced tools like Kubernetes, Docker, Ray, Kafka, and GPU optimization to build innovative AI infrastructure supporting industries such as finance and healthcare.

Company overview

Harrison Clarke is a specialized recruitment firm focusing on placing elite DevOps and Site Reliability Engineering (SRE) professionals within top-tier technology companies. They make money by connecting highly skilled candidates with organizations in need of their expertise, earning fees for successful placements. Founded with a mission to bridge the talent gap in the tech industry, Harrison Clarke has established a reputation for its deep understanding of the DevOps and SRE landscape, providing tailored recruitment solutions that meet the specific needs of their clients. Their commitment to quality and industry knowledge has positioned them as a leader in this niche market.

How to land this job

  • Tailor your resume to highlight your expertise in cloud infrastructure, emphasizing experience with Kubernetes, Docker, Terraform, Ansible, and GPU optimization to align with the Founding Cloud Infrastructure Engineer role at Harrison Clarke.

  • Stress your experience managing distributed systems and high-performance computing tasks, particularly your work with Ray, Kafka, and GPU clusters to demonstrate your ability to handle scalable AI workloads.

  • Apply through multiple channels including Harrison Clarke's corporate careers page, LinkedIn job postings, and reputable tech job boards to maximize your application visibility.

  • Connect with current engineers or team members in the AI or infrastructure divisions at Harrison Clarke on LinkedIn; start conversations by complimenting recent company AI initiatives or asking about their experience working on GPU optimization for AI workloads.

  • Optimize your resume for ATS by incorporating key terms from the job description such as 'Kubernetes,' 'GPU optimization,' 'Terraform,' 'Ray,' 'Kafka,' and 'cloud-native networking' to ensure it passes automated screenings.

  • Use Jennie Johnson's Power Apply feature to automate tailored applications, identify multiple application platforms, and locate relevant LinkedIn contacts, freeing you to focus on interview preparation and skill sharpening.

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