Senior Cloud Architect – HPC/GPU & AI Platform Solutions

• 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.

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.

• Use automation and safe deployment practices to minimise customer impact during maintenance and issue resolution.

• Maintain working expertise in assigned technologies and solution components to support effective troubleshooting.

• Meet operational readiness expectations through clear documentation, testing, monitoring, and support handover.

• Participate in operational support, incident response, and root cause investigations as required.

Governance & Security

• Implement security controls for cloud infrastructure and Kubernetes platforms, including encryption, identity, access, network segmentation, and secrets management.

• Support remediation plans for identified security, configuration, or compliance gaps.

• Ensure delivered cloud infrastructure follows applicable standards, customer requirements, and current documentation practices.

Automation & Change Management

• Develop and maintain Terraform configurations, reusable modules, shell scripts, and automation tools for cloud infrastructure and platform management.

• Follow change management practices for deployment, patching, upgrades, and rollback, and automate repeatable processes where practical.

Core Responsibilities

• Manages and coordinates moderately complex technical tasks, monitoring timelines and deliverables to support timely completion and adherence to requirements for assigned projects or initiatives. Prioritises work across concurrent activities and adjusts plans when resources, dependencies, or timelines change.

• Collaborates across the organisation to align expectations and achieve shared objectives. Uses an understanding of stakeholders and customers to ensure proposed solutions meet their needs. Supports inclusivity by actively seeking and listening to diverse perspectives.

• Identifies and addresses moderately complex issues by analysing relevant data and technical information, applying established practices, and proposing practical solutions. Escalates unresolved or critical issues with a clear assessment and recommended next steps.

• Pursues learning opportunities to expand knowledge of cloud-native technologies, tools, and industry practices. Seeks feedback and training to improve skills and shares knowledge with colleagues and junior team members.

• Develops ideas and collaborates on process improvements that increase the efficiency and effectiveness of technical delivery, support, and customer engagement workflows.

• Contributes to team growth by participating in candidate interviews and providing evidence-based hiring feedback when requested.