Cloud Technical Architect / Data DevOps Engineer, Hewlett Packard Enterprise

Hewlett Packard Enterprise

Location:

United Kingdom, Bristol

Category:

IT - Software Development

Contract Type:

Employment contract

Salary:

Not provided

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Job Description:

The role involves designing, implementing, and optimizing scalable Big Data and cloud solutions while collaborating with internal and external teams. It requires expertise in a range of technologies including AWS, Kubernetes, containerization, and Infrastructure as Code. The position focuses on delivering client outcomes and technical excellence, aligned with HPE's culture of innovation and inclusion.

Job Responsibility:

Detailed development and implementation of scalable clustered Big Data solutions, with a specific focus on automated dynamic scaling, self-healing systems
Participating in the full lifecycle of data solution development, from requirements engineering through to continuous optimisation engineering and all the typical activities in between
Providing technical thought-leadership and advisory on technologies and processes at the core of the data domain, as well as data domain adjacent technologies
Engaging and collaborating with both internal and external teams and be a confident participant as well as a leader
Assisting with solution improvement activities driven either by the project or service
Support the design and development of new capabilities, preparing solution options, investigating technology, designing and running proof of concepts, providing assessments, advice and solution options, providing high level and low level design documentation
Cloud Engineering capability to leverage Public Cloud platform using automated build processes deployed using Infrastructure as Code
Provide technical challenge and assurance throughout development and delivery of work
Develop re-useable common solutions and patterns to reduce development lead times, improve commonality and lowering Total Cost of Ownership
Work independently and/or within a team using a DevOps way of working

Requirements:

An organised and methodical approach
Excellent time keeping and task prioritisation skills
An ability to provide clear and concise updates
An ability to convey technical concepts to all levels of audience
Data engineering skills – ETL/ELT
Technical implementation skills – application of industry best practices & designs patterns
Technical advisory skills – experience in researching technological products / services with the intent to provide advice on system improvements
Experience of working in hybrid environments with both classical and DevOps
Excellent written & spoken English skills
Excellent knowledge of Linux operating system administration and implementation
Broad understanding of the containerisation domain adjacent technologies/services, such as: Docker, OpenShift, Kubernetes etc.
Infrastructure as Code and CI/CD paradigms and systems such as: Ansible, Terraform, Jenkins, Bamboo, Concourse etc.
Monitoring utilising products such as: Prometheus, Grafana, ELK, filebeat etc.
Observability - SRE
Big Data solutions (ecosystems) and technologies such as: Apache Spark and the Hadoop Ecosystem
Edge technologies e.g. NGINX, HAProxy etc.
Excellent knowledge of YAML or similar languages
Experienced in Cloud native technologies in AWS
Experienced in deploying IaaS/PaaS in Multi Cloud Environments
Experienced in Cloud and Infrastructure Engineering building and testing new capabilities, and supporting the development of new solutions and common templates
Experienced in being able to act as bridge from the infrastructure through to user facing systems

Nice to have:

Jupyter Hub Awareness
Minio or similar S3 storage technology
Trino / Presto
RabbitMQ or other common queue technology e.g. ActiveMQ
NiFi
Rego
Familiarity with code development, shell-scripting in Python, Bash etc.
Experienced in Kubernetes Containers
Experienced in the use of Automation tools e.g. Terraform, Ansible, Foreman, Puppet and Python
Experienced in different flavours of Linux platform and services

What we offer:

Extensive social benefits
Flexible working hours
Competitive salary
Shared values
Equal opportunities
Work-life balance
Evolving career opportunities
Comprehensive suite of benefits that supports physical, financial and emotional wellbeing

Additional Information:

Job Posted:

March 20, 2025

Employment Type:

Fulltime

Work Type:

On-site work

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Cloud Technical Architect / Data DevOps Engineer