Senior Cloud Engineer (AWS)

Bristol
10 months ago
Applications closed

Related Jobs

View all jobs

Senior Software Engineer, Cloud Native & MLOps

Senior MLOps Platform Engineer — Cloud & Kubernetes

Senior DataOps SRE — Cloud Pipelines & Automation

Senior Machine Learning Engineer

Senior AI/Generative Data Engineer: LLMs, MLOps, Cloud

Senior AI MLOps Platform Engineer - Scale Resilient Cloud

Senior AWS Cloud Engineer
Bristol
Hybrid Working
£60k - £70k + Benefits

Due to the nature of the work that the consultancy undertake, candidates will be required to undergo pre-employment screening and must be able to satisfy clearance criteria for UK National Security Vetting.

You must be a British national or British Passport holder to undergo SC Clearance - Security Clearance

I am recruiting for a Senior AWS Cloud Engineer for my client who are a top tier 1 consultancy that provide services into the defence, central government and engineering world.

Senior AWS Cloud Engineer Benefits:

Flexible Working
Competitive salary
25 days' holiday entitlement
Holiday purchase scheme
Company pension scheme
Targeted professional development
Life assurance
Private healthcare membership
Bonus scheme linked into company performance
Paid membership fees to a professional institution
Support in attaining professional membership
Cycle to work scheme
Share purchase scheme
Season rail ticket loan
Individuals from diverse backgrounds are encouraged to apply, as we believe that diversity and inclusion are fundamental to creating a dynamic and thriving workplace culture.Senior AWS Cloud Engineer Responsibilities:

Building horizon scanning applications, providing novel data analytics for the whole of science and technology with graph databases, big datasets and natural language processing in AWS.
Building novel simulations of distributed autonomous systems architectures using cloud infrastructure and messaging with Python, Kafka and Azure.
Helping an energy customer to maintain critical infrastructure by developing a data processing application, database and API to store 40 years of inspections data and enable data analytics and condition monitoring on this using ASP.NET, Entity Framework, Postgres and C#.Senior AWS Cloud Engineer Skills:

Significant experience leading the design and deployment of complex cloud solutions to AWS
At least 1 Object-Oriented Language (Python or C# ideally)
Experience with containerisation of applications
An ability to discuss and present complex topics in an understandable way
Consultancy skills in stakeholder management, business development and requirements elicitation
Excellent interpersonal skills to enable internal and external network developmentIt is to your advantage if you meet any of the following additional requirements:

Certifications in AWS
Using and managing Azure DevOps projects or Similar
Managing and delivering the development of solutions with a team of people using Agile approaches
Database design and management for Relational or NoSQLServices advertised by Gold Group are those of an Agency and/or an Employment Business.
We will contact you within the next 14 days if you are selected for interview. For a copy of our privacy policy please visit our website

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.