Cloud Engineering Architect
Accurate Background- Full Time
- Expert & Leadership (9+ years)
Candidates should possess a Bachelor’s degree in Computer Science, Information Systems, or a related field, and have at least 5 years of experience in cloud technologies, specifically within the areas of architecture and data engineering. Strong experience with hybrid cloud environments, data pipelines, and DevOps practices is essential. Familiarity with containerization technologies such as Docker and Kubernetes is required, along with experience with automation tools and scripting languages.
As a Data DevOps Engineer, you will be responsible for the detailed development and implementation of scalable clustered Big Data solutions, with a specific focus on automated dynamic scaling and self-healing systems. You will participate in the design and implementation of data infrastructure, ensuring its reliability and performance, and you will collaborate with Enterprise Data Engineering consultants to accelerate and drive data engineering opportunities for clients. Furthermore, you will provide clients with optimal consultative service and experience, resulting in business outcomes that meet core client values and business requirements.
Provides enterprise IT solutions and services
Hewlett Packard Enterprise provides enterprise IT solutions with a focus on cloud services, artificial intelligence, and edge computing. Their products include HPE Ezmeral for managing containers, HPE GreenLake for cloud services, and HPE Aruba for networking. These solutions help businesses improve their performance and adapt to digital changes. HPE's business model includes selling hardware, software, and services, as well as offering subscription-based services and long-term contracts. What sets HPE apart from competitors is its commitment to open-source projects and its active developer community, which supports collaboration and innovation. The company's goal is to empower organizations to transform digitally and optimize their operations.