Infrastructure Deployment Engineer (AI Factory Delivery)

Sharon AI, Inc; Singapore; Remote; SGD 120,000 - 160,000; Full time

Benefits offered by this job

Remote work in same time zone as squad

Birthday leave

Employee Assistance Program (EAP)

Job summary

Sharon AI is seeking an Infrastructure Deployment Engineer to deploy and automate the GPU cluster infrastructure for AI Factories. You will work with Platform, Network and Data Centre teams to ensure fast, reliable deployments and handovers.

You will automate provisioning, OS and firmware management, and validation tests, while improving deployment time and reliability in a fast-paced AI environment.

Qualifications

• Bachelor's degree in Computer Science, Engineering or related field, or equivalent experience.
• Experience with Linux administration at scale and troubleshooting.

Responsibilities

• Deploy and operate GPU-based infrastructure for AI Factories.
• Automate deployment, configuration, testing and handover of clusters.
• Work with Platform, Network and Data Centre teams to optimise performance.
• Develop playbooks and tooling to reduce deployment time and improve reliability.

Skills

Linux admin

Kubernetes

Terraform/Ansible

Python/Go/Bash

Networking

Storage

Bachelor's degree

Communication

Prioritize multiple tasks

AI infrastructure interest

Education

Bachelor's degree in CS/Engineering

Tools

Redfish automation

Job description

Remote, in the same time zone as the rest of the squad

About Sharon AI

Sharon AI is an Australian neocloud, delivering trusted AI infrastructure organisations need to build, train and run AI at scale. We support customers across the full AI lifecycle, from training through to inference and agentic AI, drawing on a strong ecosystem of technology and co-location partners to deliver capability where it's needed. As the first neocloud to join NVIDIA's AI Compute Program, we're growing quickly, scaling our AI Factory platform to meet rising demand for advanced compute.

The Role

As Sharon AI continues to grow, we're looking for a talented Infrastructure Deployment Engineer to join our regional Delivery squad and play an important role in deploying and delivering the infrastructure layer of our AI Factories, reporting to our Regional Delivery Manager.

AI Factories are the high-performance GPU compute environments that underpin Sharon AI's AI cloud, serving customers and internal teams running large-scale training, fine-tuning and inference. In this role, the Infrastructure Deployment Engineer will take the GPU nodes and underlying cluster infrastructure of each AI Factory from hardware staging through to customer acceptance, and build and run the automation that deploys and tests them. You'll deploy, test and automate, and look for ways to make each deployment faster than the last, with reducing deployment time a core part of the job. You'll work closely with Network and Platform Deployment Engineers, on-site Data Centre Deployment Engineers, the Infrastructure and Platform teams and Operations, with exposure to cutting-edge technology at the forefront of AI infrastructure.

What You'll Be Doing

• Deploying and configuring the underlying cluster infrastructure (Kubernetes and/or HPC schedulers such as Slurm) with the Platform Deployment Engineers, from initial build through to handover
• Provisioning and configuring GPU nodes: operating system images, firmware and drivers at the locked versions, to meet agreed design and performance targets
• Configuring server management controllers (BMC) to the standard settings using Redfish or IPMI, and validating PCIe, NVLink and GPUDirect configuration on every node
• Connecting VAST Data storage, deploying monitoring, logging and alerting agents, and applying node-level security controls and workload isolation
• Working with on-site staff and the data centre provider's remote hands for any physical task, such as reseating, part swaps or console access
• Running GPU node burn-in and diagnostics (DCGM), plus HPL and storage throughput tests with the platform and network engineers
• Planning and executing infrastructure testing, including acceptance testing (ATP), integrated system testing (IST), and high availability, backup and recovery checks
• Checking server-level (L10) test evidence from the manufacturer, recording results against pass/fail thresholds, and raising defects and hardware returns
• Automating server provisioning, configuration push, OS and firmware updates, and test runs and their reports, keeping deployment code in version control with review and testing before it is used on site
• Generating host configuration from the frozen design and site inventory, and keeping that inventory accurate as the source of truth
• Instrumenting automation so every step is timed, giving the data to find the next delay, and feeding lessons learned back into standard playbooks and tooling
• Preparing handover documentation, runbooks and as-built records, supporting Operations during the hypercare window (up to one month), and reporting progress, risks and issues to the Regional Delivery Manager

What We're Looking For

• 4 to 8+ years' experience in infrastructure, systems, platform or SRE engineering
• Strong Linux administration and troubleshooting at scale
• Experience with GPU-based systems and workloads
• Strong Kubernetes and container experience, including containerised platforms in production
• Experience with infrastructure-as-code (Terraform, Ansible or similar) and scripting in Python, Go or Bash
• Experience building infrastructure automation, including Git, code review, CI pipelines and bare-metal or cloud provisioning through APIs
• A good understanding of networking and storage
• Bachelor's degree in Computer Science, Engineering or a related field, or equivalent experience
• Strong communication and stakeholder management skills
• Ability to manage competing priorities in a fast-paced environment
• A proactive, collaborative and solutions-focused approachStrong attention to detail
• A genuine interest in AI, technology and what Sharon AI is building

Nice to have:

• GPU cloud, IaaS or neocloud platform experience
• Rafay, Netris or other provisioning APIs, Redfish automation, and NetBox or similar inventory tools
• HPC environments and schedulers (Slurm, Ray), and high-performance networking (RDMA, InfiniBand)
• AI/ML workloads and frameworks (PyTorch, TensorFlow)
• Linux or Kubernetes certifications (RHCSA/RHCE, CKA)

Why Join Sharon AI?

You’ll be joining a rapidly growing Australian technology business at an exciting stage of its journey, with the opportunity to work directly with the infrastructure and technology powering the next generation of AI.

Remote working – work from wherever suits you, in the same time zone as your squad

Birthday leave – take some extra time to celebrate your day

Employee Assistance Program (EAP) – confidential support when you need it

Exposure to AI and next-generation technology – work in one of the fastest-moving areas of technology

Learning & development – we support your career growth with approved conferences, professional memberships & courses

Novated leasing – a tax-effective way to finance and run your car

Bounty referral program – generous rewards for successfully referring new talent to Sharon AI

Employee of the month – recognition plus a $500 gift card

Growing global business – be part of an Australian technology company with an expanding international footprint

Make an impact – join at a stage where your work can have a visible influence on how we build and grow

Collaborative culture – work alongside talented people across technical, commercial and corporate teams

Our Values

Integrity | Innovation | Collaboration | Wellbeing | Inclusion

Due to the high volume of applications we receive, we’re unfortunately not always able to provide individual feedback to unsuccessful candidates. We appreciate your understanding and want to assure you that every application will be reviewed with care.