Senior Solutions Engineer MLOps

Were in an unbelievably exciting area of tech and are fundamentally reshaping the data storage industry. Here you lead with innovative thinking grow along with us and join the smartest team in the industry.

This type of workwork that changes the worldis what the tech industry was founded on. So if youre ready to seize the endless opportunities and leave your mark come join us.

THE ROLE

Join the Pure Solutions team as a Senior MLOps Solutions Engineer to architect and build high-scale enterprise-grade AI/ML solutions. You will be instrumental in integrating Pure Storage platforms with the evolving open-source MLOps ecosystem (Kubeflow MLflow Ray) to operationalize the complete machine learning lifecycle. This role requires a creative technologist with deep Python expertise to drive innovation and enable our customers and partners to achieve production AI success.

WHAT YOULL DO

• Design and Automate MLOps Pipelines: Lead the development of end-to-end MLOps workflows using CI/CD tools (Git/Jenkins) and orchestration platforms (MLflow/Kubeflow) specifically integrating Pure Storages FlashBlade FlashArray and Portworx as the high-performance data plane for data ingestion training and inference.

• Build High-Performance AI/ML Reference Architectures: Create validated repeatable deployment models using Infrastructure as Code (e.g. Ansible Terraform) for AI/ML environments spanning bare metal virtual machines and GPU-accelerated Kubernetes clusters ensuring optimal performance for distributed training.

• Optimize and Operationalize GPU Inference: Architect and implement solutions for high-throughput low-latency model serving utilizing technologies like NVIDIA Triton Inference Server and advanced optimization techniques (quantization model sharding like DeepSpeed/Megatron-LM and dynamic batching) for large models (LLMs).

• Enable Sales and Drive Ecosystem Adoption: Develop automated GPU-enabled MLOps lab environments high-quality technical documentation and live demonstrations to enable global sales field engineering teams and strategic partners on new AI integrations directly impacting solution adoption and revenue.

• Define Strategic MLOps Direction: Collaborate closely with Data Scientists and Product Management to influence the technical strategy for AI platform integrations and provide essential input into future product roadmaps related to accelerated compute and high-performance storage requirements.

WHAT YOU BRING

• Deep MLOps Pipeline & Infrastructure as Code (IaC) Expertise: Hands-on experience designing building and automating MLOps workflows using orchestration tools (e.g. Kubeflow MLflow Vertex AI SageMaker) and proficiency with IaC tools such as Terraform or Ansible.

• Advanced Python & Deep Learning Framework Proficiency: Expert-level skills in Python for Data Science and MLOps including libraries like pandas and NumPy and demonstrated experience with Deep Learning frameworks particularly PyTorch focusing on distributed training and model handling.

• Expertise in GPU-Accelerated Computing & Container Orchestration: Strong practical knowledge of GPU computing principles (CUDA) technologies like NVIDIA Triton Inference Server and expert-level working knowledge of Kubernetes for GPU resource management scheduling and persistent storage for containers.

• High-Performance Storage and Data Center Understanding: Solid comprehension of high-performance data center infrastructure including high-speed networking (e.g. RoCE 100GbE) and storage platforms optimized for high-throughput low-latency AI/ML workloads (e.g. high-performance S3 parallel file systems).

• We are primarily an in-office environment and therefore you will be expected to work from the OFFICELOCATION office in compliance with Pures policies unless you are on PTO or work travel or other approved leave.

WHAT YOU CAN EXPECT FROM US:

• Pure Innovation: We celebrate those who think critically like a challenge and aspire to be trailblazers.
• Pure Growth: We give you the space and support to grow along with us and to contribute to something meaningful. We have been Named Fortunes Best Large Workplaces in the Bay Area Fortunes Best Workplaces for Millennials and certified as a Great Place to Work!
• Pure Team: We build each other up and set aside ego for the greater good.

And because we understand the value of bringing your full and best self to work we offer a variety of perks to manage a healthy balance including flexible time off wellness resources and company-sponsored team events. Check out for more information.

ACCOMMODATIONS AND ACCESSIBILITY:

Candidates with disabilities may request accommodations for all aspects of our hiring process. For more on this contact us at if youre invited to an interview.

OUR COMMITMENT TO A STRONG AND INCLUSIVE TEAM:

Were forging a future where everyone finds their rightful place and where every voice matters. Where uniqueness isnt just accepted but embraced. Thats why we are committed to fostering the growth and development of every person cultivating a sense of community through our Employee Resource Groups and advocating for inclusive leadership.

Pure is proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race religion color national origin sex (including pregnancy childbirth or related medical conditions) sexual orientation gender gender identity gender expression transgender status sexual stereotypes age status as a protected veteran status as an individual with a disability or any other characteristic legally protected by the laws of the jurisdiction in which you are being considered for hire.

JOIN US AND BRING YOUR BEST.

BRING YOUR BOLD.

BRING YOUR FLASH.