AI Infrastructure Engineer
AI Infrastructure Engineer
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Job Description
Strong automation development skills. Needs to be proficient in one or more automation languages i. e. Ansible Cloud Formations Chef Puppet Terraform.
Bachelors 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 fastpaced dynamic environment.
Moving forward together
Were committed to building a diverse inclusive and respectful workplace where everyone feels they belong can bring themselves and are heard. We provide equal employment opportunities to all qualified applicants and employees without regard to age race creed color religion sex national origin ancestry disability status veteran status sexual orientation gender identity or expression genetic information marital status citizenship status or any other basis as protected by law.
We want our people to be energized and empowered to drive sustainable impact. So our focus is on a valuesinspired culture that unlocks brilliance through belonging connection and innovation.
And were not just talking about it; were doing it. Were reskilling our people leveraging transferable skills and supporting the transition of our workforce to become experts in todays low carbon energy infrastructure and technology.
Whatever your ambition theres a path for you here. And theres no barrier to your potential career success. Join us to broaden your horizons explore diverse opportunities and be part of delivering sustainable change.
Building on our past. Ready for the future
Worley is a global professional services company of energy chemicals and resources experts. We partner with customers to deliver projects and create value over the life of their assets. Were bridging two worlds moving towards more sustainable energy sources while helping to provide the energy chemicals and resources needed now.
Join the cuttingedge Worley Digital team and help shape the future of AI infrastructure! This is a remote opportunity open to applicants in the U.S. Canada Latin America and India (Mumbai or Noida).
Summary:
Collaborate with AI teams to translate computational needs into infrastructure requirements architect secure and scalable AI infrastructure and manage cloudbased solutions. 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 cloudbased solutions for AI workloads.
Optimize data pipelines and storage solutions for efficient data processing and retrieval.
Automate deployment and management processes.
Troubleshoot and resolve infrastructurerelated 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.
Employment Type
Full-Time
