AI Infrastructure Engineer
🔍 Houston, Texas, United States
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. We’re bridging two worlds, moving towards more sustainable energy sources, while helping to provide the energy, chemicals and resources needed now.
Join the cutting-edge 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 cloud-based 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 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.
Strong automation development skills. Needs to be proficient in one or more automation languages [i. e. Ansible, Cloud Formations, Chef, Puppet, Terraform].
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’re 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 values-inspired culture that unlocks brilliance through belonging, connection and innovation.
And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology.
Whatever your ambition, there’s a path for you here. And there’s no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change.