Hewlett Packard Enterprise

Cloud Technical Architect / Data DevOps Engineer

Bristol, England, United Kingdom

Not SpecifiedCompensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
Information Technology & ServicesIndustries

Requirements

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.

Responsibilities

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.

Skills

Big Data solutions
Automated dynamic scaling
Self-healing systems
Data engineering
Cloud architecture
Consultative skills
Team collaboration
Independent work

Hewlett Packard Enterprise

Provides enterprise IT solutions and services

About Hewlett Packard Enterprise

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.

Houston, TexasHeadquarters
1939Year Founded
IPOCompany Stage
Hardware, Enterprise Software, AI & Machine LearningIndustries
10,001+Employees

Risks

Integration challenges with Juniper Networks may delay AI-driven networking benefits.
Competition from startups like Flywheel could impact HPE's AI and cloud services.
HPE's acquisition strategy may strain resources and distract from core operations.

Differentiation

HPE's GreenLake offers a unique hybrid cloud platform for diverse IT environments.
HPE Ezmeral provides advanced container management, enhancing enterprise AI and analytics capabilities.
HPE's Aruba solutions integrate cloud security and networking for seamless, secure connectivity.

Upsides

HPE's acquisition of Juniper Networks boosts AI-driven innovation in networking.
OpsRamp acquisition enhances HPE's IT management with AI-based automation capabilities.
Axis Security integration strengthens HPE's cloud security offerings with SASE solutions.

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