Senior Cloud Architect – HPC/GPU & AI Platform Solutions

Description

• Design and deploy secure, scalable cloud infrastructure on Oracle Cloud Infrastructure (OCI).

• Architect and implement Kubernetes-based platforms for containerised applications and services.

• Develop reusable Terraform modules and automated deployment workflows for infrastructure provisioning and lifecycle management.

• Configure, administer, and troubleshoot Linux-based environments used for cloud-native workloads.

• Create and maintain shell scripts and lightweight automation to improve deployment, operations, and support processes.

• Advise customers on cloud architecture, migration, security, reliability, and operational best practices.

• Deliver customer workshops, architecture reviews, technical presentations, demonstrations, and hands-on enablement sessions.

• Collaborate with Engineering, Product Management, Support, and Sales teams to resolve technical challenges and share customer feedback.

• Develop reusable technical assets, including solution architectures, Terraform examples, deployment guides, demonstrations, and reference implementations.

• Support integrations with technology partners and third-party tools to deliver complete customer solutions.

Required Qualifications Education

• Bachelor's degree in Computer Science, Engineering, Information Technology, or a related technical discipline (or equivalent practical experience).

Professional Experience

• 4+ years of experience in solution architecture, technical consulting, pre-sales, cloud engineering, platform engineering, or a related customer-facing technical role.

• Hands-on experience designing and implementing cloud infrastructure, Kubernetes platforms, or Linux-based solutions for customers or internal stakeholders.

• Experience communicating technical recommendations to engineering teams, operations teams, and business stakeholders.

Technical Qualifications

Candidates should demonstrate practical experience in the following core areas:

• Kubernetes architecture, deployment, administration, and troubleshooting.

• Oracle Cloud Infrastructure (OCI) or another leading public cloud platform.

• Infrastructure as Code using Terraform, including reusable modules and environment management.

• Linux administration and shell scripting using Bash or a comparable shell.

• Containers, container registries, and cloud-native application deployment patterns.

• Cloud networking, identity and access management, security, and load balancing fundamentals.

• Observability, monitoring, logging, and operational troubleshooting.

• CI/CD practices and automation for infrastructure and platform changes.

• Cloud architecture principles covering scalability, reliability, resilience, and cost awareness.

• Working knowledge of Python or another scripting language for automation is beneficial.

Required Skills Core Cloud & Platform Skills

• Oracle Cloud Infrastructure (OCI) or a comparable public cloud platform

• Cloud architecture and solution design

• Kubernetes

• Linux administration

• Shell scripting, especially Bash

• Terraform and Infrastructure as Code (IaC)

• Containers and container orchestration

• Cloud networking, IAM, security, and migration fundamentals

Nice-to-Have Experience

• High Performance Computing (HPC) concepts

• GPU infrastructure and accelerated computing

• AI/ML platform infrastructure

• Large Language Model (LLM) deployment or inference services

• Agentic AI concepts and supporting platform requirements

• HPC schedulers such as Slurm or PBS

• RDMA, InfiniBand, or other high-performance networking technologies

• Distributed or parallel file systems

Operating Systems & Automation

• Linux

• Bash and shell scripting

• Python

• Terraform modules and automation workflows

• CI/CD and infrastructure automation

Kubernetes & Platform Engineering

• Kubernetes cluster architecture and administration

• Containers and image management

• Helm or comparable Kubernetes packaging tools

• Kubernetes networking, ingress, and service exposure

• Monitoring, logging, and observability

• Platform security, identity, and access controls

• Production troubleshooting and lifecycle management

Customer & Consulting

• Solution Architecture

• Technical Consulting

• Pre-Sales

• Technical presentations

• Customer Workshops

• Technical Enablement

• Cloud modernisation strategy

• Cloud Adoption

Soft Skills

• Excellent communication and presentation skills.

• Strong stakeholder management.

• Customer-first mindset.

• Analytical problem-solving.

• Cross-functional collaboration.

• Sound technical judgement.

• Ability to simplify complex technical concepts for business audiences.

Preferred Qualifications

• Experience with Oracle Cloud Infrastructure (OCI).

• Relevant Kubernetes certification or substantial hands-on Kubernetes experience.

• Experience supporting production Linux and container platforms.

• Experience creating reusable Terraform modules, scripts, technical documentation, or open-source contributions.

• Oracle Cloud certifications or equivalent certifications from AWS, Azure, or Google Cloud.

• Exposure to HPC, GPU, AI/ML, LLM, or Agentic AI solutions is advantageous but not required.

Languages

• English (Required)

• Additional European language(s) would be advantageous.

Success Profile

The ideal candidate will:

• Combine strong hands-on technical skills with effective customer engagement.

• Be passionate about Kubernetes, Linux, automation, and cloud-native technologies.

• Translate customer requirements into practical, secure, and supportable cloud architectures.

• Drive successful adoption of Oracle Cloud Infrastructure through high-quality solution design and delivery.

• Thrive in a fast-paced, customer-facing environment while collaborating across multiple Oracle organisations.

Responsibilities

Cloud Architecture & Scalability

• Design and implement components of scalable cloud solutions using OCI services, Kubernetes, Linux, and established cloud-native patterns.

• Optimise infrastructure and platform configurations for performance, scalability, operational simplicity, and cost awareness.

• Define technical requirements for assigned solution components and ensure implementations meet agreed customer outcomes.

• Design solutions that scale appropriately and use automation to support repeatable environment provisioning.

• Apply cloud networking, storage, compute, identity, and container platform services to meet workload requirements.

• Plan and execute performance, capacity, and load validation for key solution components.

Reliability & Resilience

• Build resilient cloud and Kubernetes solutions using redundancy, health checks, replication, and automated recovery mechanisms.

• Design solutions to handle service disruptions and component failures while meeting agreed availability objectives.

• Implement practical controls such as rate limiting, resource quotas, autoscaling, and graceful degradation where appropriate.

• Document reliability assumptions, dependencies, recovery procedures, and service-level objectives for delivered solutions.

Observability & Performance

• Define useful metrics, logs, traces, and health indicators to identify performance gaps and operational issues.

• Build and configure dashboards, monitoring, and alerting to support proactive platform and application operations.

Security, Correctness & Availability

• Implement functional, security, and availability requirements for cloud infrastructure and platform components.

• Develop and execute test scenarios for deployments, upgrades, failures, rollback, and recovery.

• Apply backup, replication, synchronisation, and recovery techniques to protect data and service availability.

Operational Troubleshooting & Customer Support

• Diagnose, debug, and resolve issues across Linux, Kubernetes, Terraform, networking, and OCI services, sharing findings with customers and internal teams.

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