Senior Principal Digital Solutions Consultant
- We deliver the world’s most complex projects.
Building on our past. Ready for the future
Worley is a global professional services company of energy, chemicals and resources experts headquartered in Australia.
The Role
Collaborate with AI teams to translate computational needs into infrastructure requirements, architect secure and scalable AI infrastructure, and manage cloud-based solutions. They will also optimize data pipelines, automate deployment processes, troubleshoot issues, and stay updated with the latest AI infrastructure advancements while working closely with vendors and internal teams.
Key Responsibilities:
- Collaborate with AI teams to understand computational needs and translate these into infrastructure requirements.
- Architect secure, optimized and scalable AI infrastructure to support machine learning models and applications.
- Deploy and manage cloud-based solutions for AI workloads.
- Optimize data pipelines and storage solutions for efficient data processing and retrieval.
- Automate deployment and management processes.
- Troubleshoot and resolve infrastructure-related issues in a timely manner.
- Stay updated with the latest advancements in AI infrastructure and cloud technologies.
- Work closely with vendors and Worley teams including FinOps, AI teams and WES operations to monitor, manage, and optimize cloud resources.
Required Skills and Qualifications:
- 4+ years of relevant work experience in solutions design and engineering, proficient with containerization (Docker, Kubernetes) and cloud service providers (AWS, Azure, GCP).
- Familiar with development of on-premise containerisation technologies (i.e. Kubernetes, etc…)
- Strong automation development skills. Needs to be proficient in one or more automation languages [i. e. Ansible, Cloud Formations, Chef, Puppet, Terraform].
Qualifications:
- Bachelor’s degree in computer science or software engineering
- Possession of professional cloud certifications
- Good knowledge of cloud computing delivery models (IaaS, PaaS, and SaaS) and deployment models related to Public, Private and Hybrid Cloud service
- Proficient in Linux/UNIX or Windows environments, including scripting and administration.
- Familiarity with cloud data services and big data processing tools.
- Strong background in network architecture and data modelling.
- Deep understanding of cloud component architecture: Microservices, Containers, IaaS, Storage, Security, Knowledge of routing/switching technologies.
- Knowledge of monitoring and logging tools (Prometheus, ELK, Grafana, App Insights).
- Excellent oral and written communication skills in English.
- Ability to work in a fast-paced, dynamic environment.
Moving forward together
We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation.