We are collaborating with a client who are dedicated to transforming unused energy resources into valuable computational power. Our client aims to align the future of global computing with sustainable energy practices.
Location: Dublin
Contract: Full-Time, Permanent
Working Model: Hybrid
Reference number: BBBH 25913
About the Role:
Join our clients’ Cloud team as a Solutions Engineer, where you’ll work hands-on with clients to implement AI and ML workloads on a cutting-edge cloud platform. This role is deeply technical, requiring a strong grasp of cloud infrastructure and AI tools to ensure clients successfully leverage the platform to its fullest potential. As a trusted advisor, you’ll support pre-sales and post-sales efforts, contributing to scalable, reusable solutions while collaborating with cross-functional teams to drive customer satisfaction and technical excellence.
Core Responsibilities:
- Technical Advisor for Clients: Serve as a key technical resource, guiding clients in deploying and optimizing AI/ML workloads.
- Solution Development: Collaborate closely with clients to scope, deploy, and refine AI workloads, utilizing cloud infrastructure tools such as Docker, Kubernetes, and Terraform.
- Pre-Sales & Post-Sales Support: Partner with Sales and Customer Success to ensure smooth onboarding, from proof-of-concept through deployment, offering robust technical support post-deployment.
- Workload Optimization: Lead efforts in benchmarking, validating, and optimizing AI/ML workloads for peak performance and efficiency.
- Cross-Team Collaboration: Work with Engineering and Product teams to refine our platform roadmap based on client feedback and technical needs.
- Client Demonstrations & Education: Conduct workshops, demonstrations, and technical discussions to educate clients on best practices and platform benefits.
- Platform Evangelism: Develop technical content, including case studies, blog posts, and solution guides, to highlight successful client deployments and showcase best practices.
Must-Have Qualifications:
- Cloud Infrastructure Expertise: Proven experience with a major cloud provider (AWS, Azure, or GCP), deploying and managing cloud infrastructure.
- Kubernetes Proficiency: Expertise in Kubernetes for managing containerized applications, including deploying, scaling, and managing clusters.
- Containerization with Docker: Experience building and deploying applications in Docker containers within cloud environments.
- Infrastructure-as-Code (IaC): Hands-on experience with IaC tools like Terraform, CloudFormation, or Ansible for automated deployments.
- AI/ML Workload Deployment: Demonstrated experience deploying ML or high-performance computing (HPC) workloads in cloud environments.
- Linux Mastery: Strong command-line skills with the ability to manage, troubleshoot, and optimize Linux-based systems.
- Networking Fundamentals: Solid grasp of networking principles (VPCs, subnets, firewalls, load balancers, DNS) as applied to cloud infrastructure.
- Performance Benchmarking & Optimization: Ability to conduct benchmarking, validate AI workloads, and optimize for performance, scalability, and cost-efficiency.
- Scripting Skills: Proficiency in Python, Bash, or similar for automation and infrastructure management.
- Cloud Certifications: Professional certifications (AWS Solutions Architect, GCP Professional Cloud Architect, or Azure Solutions Architect) are preferred.
- Technical Documentation: Strong ability to create detailed, clear technical documentation for internal and client-facing solutions.
You’ll Thrive in This Role If You:
- Hold a technical degree in computer science, mathematics, engineering, or related experience.
- Have 6+ years working with cloud-based applications, especially AI/ML, HPC, or graphics applications.
- Enjoy working directly with clients to solve complex technical challenges.
- Excel in a fast-paced, customer-obsessed startup environment, where your contributions have a direct impact on clients and company growth.
If you’re passionate about delivering exceptional solutions in cloud computing and AI/ML, we’d love to hear from you. Apply now to join a team dedicated to advancing sustainable computing solutions!
If you’re ready to take the next step in your career, we’d love to hear from you
If this opportunity is of interest please apply with your latest CV alternatively email [email protected]
We are collaborating with a client who are dedicated to transforming unused energy resources into valuable computational power. Our client aims to align the future of global computing with sustainable energy practices.
Location: Dublin
Contract: Full-Time, Permanent
Working Model: Hybrid
Reference number: BBBH
About the Role:
Join our clients’ Cloud team as a Solutions Engineer, where you’ll work hands-on with clients to implement AI and ML workloads on a cutting-edge cloud platform. This role is deeply technical, requiring a strong grasp of cloud infrastructure and AI tools to ensure clients successfully leverage the platform to its fullest potential. As a trusted advisor, you’ll support pre-sales and post-sales efforts, contributing to scalable, reusable solutions while collaborating with cross-functional teams to drive customer satisfaction and technical excellence.
Core Responsibilities:
- Technical Advisor for Clients: Serve as a key technical resource, guiding clients in deploying and optimizing AI/ML workloads.
- Solution Development: Collaborate closely with clients to scope, deploy, and refine AI workloads, utilizing cloud infrastructure tools such as Docker, Kubernetes, and Terraform.
- Pre-Sales & Post-Sales Support: Partner with Sales and Customer Success to ensure smooth onboarding, from proof-of-concept through deployment, offering robust technical support post-deployment.
- Workload Optimization: Lead efforts in benchmarking, validating, and optimizing AI/ML workloads for peak performance and efficiency.
- Cross-Team Collaboration: Work with Engineering and Product teams to refine our platform roadmap based on client feedback and technical needs.
- Client Demonstrations & Education: Conduct workshops, demonstrations, and technical discussions to educate clients on best practices and platform benefits.
- Platform Evangelism: Develop technical content, including case studies, blog posts, and solution guides, to highlight successful client deployments and showcase best practices.
Must-Have Qualifications:
- Cloud Infrastructure Expertise: Proven experience with a major cloud provider (AWS, Azure, or GCP), deploying and managing cloud infrastructure.
- Kubernetes Proficiency: Expertise in Kubernetes for managing containerized applications, including deploying, scaling, and managing clusters.
- Containerization with Docker: Experience building and deploying applications in Docker containers within cloud environments.
- Infrastructure-as-Code (IaC): Hands-on experience with IaC tools like Terraform, CloudFormation, or Ansible for automated deployments.
- AI/ML Workload Deployment: Demonstrated experience deploying ML or high-performance computing (HPC) workloads in cloud environments.
- Linux Mastery: Strong command-line skills with the ability to manage, troubleshoot, and optimize Linux-based systems.
- Networking Fundamentals: Solid grasp of networking principles (VPCs, subnets, firewalls, load balancers, DNS) as applied to cloud infrastructure.
- Performance Benchmarking & Optimization: Ability to conduct benchmarking, validate AI workloads, and optimize for performance, scalability, and cost-efficiency.
- Scripting Skills: Proficiency in Python, Bash, or similar for automation and infrastructure management.
- Cloud Certifications: Professional certifications (AWS Solutions Architect, GCP Professional Cloud Architect, or Azure Solutions Architect) are preferred.
- Technical Documentation: Strong ability to create detailed, clear technical documentation for internal and client-facing solutions.
You’ll Thrive in This Role If You:
- Hold a technical degree in computer science, mathematics, engineering, or related experience.
- Have 6+ years working with cloud-based applications, especially AI/ML, HPC, or graphics applications.
- Enjoy working directly with clients to solve complex technical challenges.
- Excel in a fast-paced, customer-obsessed startup environment, where your contributions have a direct impact on clients and company growth.
If you’re passionate about delivering exceptional solutions in cloud computing and AI/ML, we’d love to hear from you. Apply now to join a team dedicated to advancing sustainable computing solutions!
If you’re ready to take the next step in your career, we’d love to hear from you
If this opportunity is of interest please apply with your latest CV alternatively email [email protected]
