Cloud Operations Engineer, Associate/Senior, Technology Consulting, Data & Analytics

Key Skills

Agile methodologies, Azure, Cloud computing, Continuous Integration & Continuous Delivery - CI/CD, Data Analytics, DevOps, Docker, Kubernetes-K8s, Mentoring, Python Programming, Software Development

Job Description

EY Data and Analytics is the data and advanced analytics capability within EY Asia-Pacific. We have vibrant practices in Australia, New Zealand, Singapore, Hong Kong, Korea, The Philippines and Malaysia.

EY Data and Analytics creates intelligent client organizations using data & advanced analytics. We go beyond strategy and provide end to end implementation of real life data environments and have some of the best architects, project managers, business analysts, data scientist, big data engineers, developers and consultants in the region.

Due to our continued growth we are looking for a talented, inquisitive and proactive Cloud Operations Engineer to join our team.

Responsibilities:

• Responsible for the integration and management of end to end cloud-native Machine Learning and AI applications

Skills Required:

• Demonstratable knowledge of cloud services

• Demonstratable knowledge of production grade microservices deployed on the cloud making use of technologies such as Docker, Kubernetes, serverless compute.

• Knowledge of networking concepts expected in cloud deployments

• Knowledge of modern software development practices and technologies such as agile methodologies, DevOps, version control practices and tools

• Experience with CI/CD frameworks in production

• Strong knowledge of Python

• Demonstratable desire for continuous learning and self-improvement.

Experience Requirements:

• 1-2 years of experience in DevOps and cloud automation (preferably on Azure)

• 1+ years of overall experience in professional software development

Good To Have Skills:

• Knowledge of Azure technologies such as Azure Automation, ACIs, AKS, etc.

• Experience working on application deployed on the Government Commercial Cloud.

• Knowledge of Node.js

• Professional work experience in the design, development, and deployment of machine learning models.

WHAT WORKING AT EY OFFERS

EY offers a competitive remuneration package commensurate with your work experience where you’ll be rewarded for your individual and team performance. We are committed to being an inclusive employer and are happy to consider flexible working arrangements, where this may be needed, guided by our FWA Policy. Plus, we offer:

Support, coaching and feedback from some of the most engaging colleagues around

Opportunities to develop new skills and progress your career

The freedom and flexibility to handle your role in a way that’s right for you