Senior Cloud Architect – HPC/GPU & AI Platform Solutions

Description

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

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

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

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

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

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

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

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

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

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

Required Qualifications Education

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

Professional Experience

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

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

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

Technical Qualifications

Candidates should demonstrate practical experience in the following core areas:

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Kubernetes architecture, deployment, administration, and troubleshooting.

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

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

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

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

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

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Observability, monitoring, logging, and operational troubleshooting.

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

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

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

Required Skills Core Cloud & Platform Skills

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

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Cloud architecture and solution design

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Kubernetes

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Linux administration

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Shell scripting, especially Bash

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Terraform and Infrastructure as Code (IaC)

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Containers and container orchestration

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Cloud networking, IAM, security, and migration fundamentals

Nice-to-Have Experience

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High Performance Computing (HPC) concepts

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GPU infrastructure and accelerated computing

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AI/ML platform infrastructure

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Large Language Model (LLM) deployment or inference services

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Agentic AI concepts and supporting platform requirements

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HPC schedulers such as Slurm or PBS

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RDMA, InfiniBand, or other high-performance networking technologies

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Distributed or parallel file systems

Operating Systems & Automation

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Linux

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Bash and shell scripting

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Python

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Terraform modules and automation workflows

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CI/CD and infrastructure automation

Kubernetes & Platform Engineering

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Kubernetes cluster architecture and administration

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Containers and image management

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Helm or comparable Kubernetes packaging tools

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Kubernetes networking, ingress, and service exposure

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Monitoring, logging, and observability

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Platform security, identity, and access controls

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Production troubleshooting and lifecycle management

Customer & Consulting

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Solution Architecture

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Technical Consulting

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Pre-Sales

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Technical presentations

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Customer Workshops

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Technical Enablement

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Cloud modernisation strategy

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Cloud Adoption

Soft Skills

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Excellent communication and presentation skills.

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Strong stakeholder management.

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Customer-first mindset.

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Analytical problem-solving.

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Cross-functional collaboration.

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Sound technical judgement.

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Ability to simplify complex technical concepts for business audiences.

Preferred Qualifications

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Experience with Oracle Cloud Infrastructure (OCI).

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Relevant Kubernetes certification or substantial hands-on Kubernetes experience.

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Experience supporting production Linux and container platforms.

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

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

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

Languages

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English (Required)

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Additional European language(s) would be advantageous.

Success Profile

The ideal candidate will:

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

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

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

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

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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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