Principal Solution Engineer

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Cloud
Principal Software Engineer
In-Person
5,000+ Employees
10+ years of experience
AI · Cloud

Description For Principal Solution Engineer

Seeking highly skilled and experienced Solution Engineer with over 10 years of experience in Cloud Infrastructure, particularly in AI/Gen AI, GPUs and multi-cloud deployments. The ideal candidate will have a proven track record of designing and implementing large-scale cloud solutions, demonstrating strong expertise in network architecture, Infrastructure security, performance optimization, and AI infrastructure deployments.

Key Responsibilities: • Serve as subject matter expert on Oracle cloud Infrastructure & multi-cloud deployments. • Provide expert-level guidance on networking architecture, security, and performance optimization in cloud environments. • Collaborate with cross-functional teams to develop and deliver customized cloud solutions for Customers. • Lead technical Customer / Partner workshops, demos, and proof of concepts to showcase the capabilities of our cloud solutions. • Support pre-sales activities, including RFx responses and technical presentations. • Mentor and guide junior team members, fostering a collaborative and innovative team environment.

As a Principal Solution engineer you will be responsible as the expert for formulating and leading presales technical / functional support activity to prospective clients and customers while ensuring customer satisfaction. Acts as a technical resource and mentor for less experienced Sales Consultants. Focuses on large or complex sales opportunities that need creative and complex solutions. Develops productivity tools and training for other Solution engineers. Develops and delivers outstanding Oracle presentations and demonstrations. Leads any and all aspects of the technical sales process. Advises internal and external clients on overall architect solutions.

Last updated 22 days ago

Responsibilities For Principal Solution Engineer

  • Serve as subject matter expert on Oracle cloud Infrastructure & multi-cloud deployments
  • Provide expert-level guidance on networking architecture, security, and performance optimization in cloud environments
  • Collaborate with cross-functional teams to develop and deliver customized cloud solutions for Customers
  • Lead technical Customer / Partner workshops, demos, and proof of concepts to showcase the capabilities of our cloud solutions
  • Support pre-sales activities, including RFx responses and technical presentations
  • Mentor and guide junior team members, fostering a collaborative and innovative team environment
  • Formulate and lead presales technical / functional support activity to prospective clients and customers
  • Act as a technical resource and mentor for less experienced Sales Consultants
  • Focus on large or complex sales opportunities that need creative and complex solutions
  • Develop productivity tools and training for other Solution engineers
  • Develop and deliver outstanding Oracle presentations and demonstrations
  • Lead any and all aspects of the technical sales process
  • Advise internal and external clients on overall architect solutions

Requirements For Principal Solution Engineer

Python
Kubernetes
  • 10+ years of experience in Cloud Infrastructure
  • Extensive experience with major cloud platforms (hyperscalers) such as Oracle Cloud, AWS, Azure, and Google Cloud
  • Experience and Knowledge of working with GPUs
  • Solid understanding of protocols such as MPLS, BGP, TCP, IPv4, IPv6, DNS, and DHCP
  • Experience with networking protocols such as TCP/IP, VPN, DNS, DHCP, and SSL
  • Proven experience in designing and managing large-scale, multi-cloud environments
  • Strong knowledge of infrastructure security best practices, including IAM, encryption, firewall, policies and compliance
  • Proficiency in automation tools and scripting languages (e.g., Terraform, Ansible, Python, Shell)
  • Familiarity with CI/CD pipelines, containerization (Docker, Kubernetes), and infrastructure as code (IaC)
  • Experience with AI/ML frameworks and platforms such as TensorFlow, PyTorch, Kubernetes, and Docker
  • Understanding of AI infrastructure components, including GPUs, TPUs, and distributed training environments
  • Knowledge of deploying and managing AI/ML workloads in cloud environments

Interested in this job?

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