Cloud Technical Architect / Data DevOps Engineer

Bristol, England, United Kingdom

Apply with AI Apply

Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Information Technology, Computer Hardware, Cloud ComputingIndustries

Requirements

Candidates should possess a Bachelor’s degree in Computer Science, Information Technology, or a related field, and have at least 5 years of experience in cloud technologies, specifically within an enterprise environment. Strong experience with infrastructure-as-code tools such as Terraform or CloudFormation is required, along with a solid understanding of containerization technologies like Docker and Kubernetes. Experience with data engineering principles and technologies, including Hadoop, Spark, and data warehousing solutions, is also necessary.

Responsibilities

As a Cloud Technical Architect / Data DevOps Engineer, you will be responsible for designing, developing, and implementing scalable clustered Big Data solutions, focusing on automated dynamic scaling and self-healing systems. You will participate in the detailed development and implementation of these solutions, ensuring they meet performance and reliability requirements. Additionally, you will be responsible for collaborating with Enterprise Data Engineering consultants to accelerate data engineering opportunities and provide optimal consultative service to clients, ultimately driving business outcomes that align with client values and requirements.

Skills

Cloud Architecture

Data Engineering

DevOps

Big Data

Scalable Systems

Automated Scaling

Self-healing Systems

Consulting

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.

Land your dream remote job 3x faster with AI

Try Jobo Free