Cloud Deployment Engineer (AI Security)
- Dublin
- Permanent
- Full-time
- Own end-to-end deployment activities, from planning and configuration to implementation, ensuring project-based delivery across AWS and Azure environments.
- Develop and maintain comprehensive deployment playbooks, serving as a blueprint for consistent and efficient implementations.
- Provide expert advisory services to clients, including best practices for infrastructure optimization, scaling, and fine-tuning post-deployment.
- Advise customers on the deployment of AI Security and security orchestration, ensuring low-latency performance for real-time AI applications.
- Collaborate closely with the Solution Engineering team to ensure a seamless transition from Proof of Concept (POC) to full-scale production deployment.
- Partner with customers to understand their unique requirements and ensure tailored solutions meet business objectives.
- Act as a key point of contact for customers during deployment projects, ensuring high levels of communication, satisfaction, and project alignment.
- Address customer feedback proactively by recommending and delivering enhancements to project implementations post-deployment.
- Conduct post-deployment 'Health Checks' to analyze GPU utilization, recommending instance rightsizing (e.g., A100 vs. H100) to balance inference speed with TCO (Total Cost of Ownership)
- Build trust and transparency with customers by offering actionable guidance that strengthens long-term relationships.
- Apply advanced technical knowledge of cloud platforms to design and implement cutting-edge solutions tailored to client environments.
- Maintain a deep understanding of F5’s products and services, harnessing their capabilities to solve customer business challenges.
- Collaborate with engineering and product development teams when necessary to ensure smooth integration and support continuity.
- Continuously evaluate deployment processes to improve efficiency, identify gaps, and enhance operational performance for our AI Security products.
- Mentor and guide junior team members, sharing expertise to elevate overall team capabilities.
- Take initiative to drive innovation within deployment projects, identifying opportunities for automation or enhanced orchestration.
- Practical experience (3+ years) working with public cloud platforms (AWS, Azure), including cloud infrastructure setup, deployment, and optimization.
- Experience with LLM deployment patterns (RAG, fine-tuning) and an understanding of the security risks unique to generative AI.
- Experience with GPU/CPU sizing tradeoffs for performance and cost balance
- Proficiency in creating and managing technical documentation such as deployment playbooks or operational guides.
- Fluency in scripting tools and languages (e.g., Python, Bash) to automate deployment processes.
- Skilled in managing customer relationships with strong interpersonal and communication skills.
- Ability to engage stakeholders and deliver tailored deployment solutions based on client needs.
- Foundational experience in managing deployment projects, including scoping, resource allocation, and delivering on defined timelines.
- Strong problem-solving skills with the ability to make judgment calls in fast-paced and dynamic environments.
- Hands-on experience with monitoring and orchestration tools like Kubernetes, Terraform, Prometheus or similar systems.
- Understanding of core cloud and web technologies (e.g., APIs, HTTP, DNS).
- Solid knowledge of Linux environments and networking fundamentals.
- Familiarity with F5 products is a plus but not mandatory.
- Red Hat Certified Specialist in OpenShift Administration
- Experience with post-deployment infrastructure fine-tuning or optimization techniques.