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- Tasks: Lead cloud architecture and deployment of services in AWS and Azure environments.
- Company: Join a pioneering consulting firm in strategic data science and AI solutions.
- Benefits: Enjoy a competitive salary, bonus, excellent pension, and 100% remote work options.
- Why this job: Shape innovative solutions and influence company direction in a collaborative, fast-paced environment.
- Qualifications: Several years of experience in Cloud, DevOps, or Infrastructure Engineering with strong AWS and Azure skills.
- Other info: Must have permanent eligibility to work in the UK; no visa sponsorship available.
The predicted salary is between 46800 - 78000 £ per year.
This range is provided by Starbuck James Ltd. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
Direct message the job poster from Starbuck James Ltd
This is a fantastic opportunity for a Senior Cloud Engineer with this specialist consulting firm. They are one of the longest-established players in strategic data science centred on leading-edge AI, supplying to major corporates and academics across the world. Due to significant sustained growth over the past few years, they are looking to grow their technical team further. This is a senior technical role, to lead the deployment and architecture of services in cloud environments, collaborating with technical leadership and delivery teams.
It is ideal for someone who is motivated by shaping proofs of concept into practical, production-ready solutions. It is strongly collaborative and customer-facing, and a genuine chance to play an active and influential role in the overall direction and development of the company. Although focussed on cloud infrastructure, the data science context means there is often an overlap with the data engineeing side, giving you a wider range of skills.
The role
- Own the cloud architecture of production solutions across AWS and Azure
- Design, build and manage infrastructure-as-code
- Develop CI/CD pipelines to support data engineering and ML/AI model delivery
- Influence security, cost-efficiency, scalability and standards
- Lead cloud architecture decisions in project scoping and architecture reviews
- Contribute to internal capability building in DevOps, cloud strategy, and tooling
- Deployment of the latest data and AI tools, including LLMs and agentic AI
The Requirements
- Several years practical experience as a Cloud, DevOps, or Infrastructure Engineer
- Deep hands-on experience with AWS and Azure services
- Infrastructure-as-code tooling (e.g. Terraform)
- CI/CD pipelines and deployment automation (e.g. Azure DevOps)
- Containerisation and orchestration (Docker, Kubernetes)
- Strong scripting and workflow automation skills (especially in Python)
- Version control (Git), testing, and secure deployment practices
- Range of use cases and applications, in particular from the context of SME or consulting
This is a highly professional and people-centric company where your career and well-being are given the highest priority. You will enjoy significant influence and authority with a genuine voice at the highest level. Projects are broad,fast-paced and ever-changing, meaning you will develop skills across a wide spectrum of applications and industries.
In return you will receive an earnings in the region of £65,000 per annum, a bonus plus an excellent pension. The organisation is based in the South East of England however the role can be 100% home-based.
You must have current and permanent eligibity to work in the UK, sadly no visa sponsorship is available.
Seniority level
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Seniority level
Mid-Senior level
Employment type
-
Employment type
Full-time
Job function
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Job function
Information Technology
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Industries
Information Services, IT Services and IT Consulting, and Software Development
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Senior Cloud/Data Engineer employer: Starbuck James Ltd
Contact Detail:
Starbuck James Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Cloud/Data Engineer
✨Tip Number 1
Familiarise yourself with the latest AWS and Azure services, as well as infrastructure-as-code tools like Terraform. Being able to discuss recent updates or features during your conversations can demonstrate your commitment and expertise.
✨Tip Number 2
Showcase your experience with CI/CD pipelines and deployment automation by preparing specific examples of projects where you've successfully implemented these practices. This will help you stand out in discussions with the technical team.
✨Tip Number 3
Engage with the company’s online presence, such as their social media or blog posts. Commenting thoughtfully on their content can help you get noticed and show your genuine interest in their work and culture.
✨Tip Number 4
Network with current or former employees of Starbuck James Ltd on platforms like LinkedIn. They can provide valuable insights into the company culture and the role, which can help you tailor your approach during interviews.
We think you need these skills to ace Senior Cloud/Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in cloud architecture, AWS, and Azure services. Use specific examples of projects where you've designed and managed infrastructure-as-code or developed CI/CD pipelines.
Craft a Compelling Cover Letter: In your cover letter, express your passion for cloud engineering and data science. Mention how your skills align with the company's focus on AI and your ability to lead collaborative projects.
Showcase Technical Skills: Clearly list your technical skills related to the job description, such as Terraform, Docker, Kubernetes, and Python scripting. Provide context on how you've applied these skills in previous roles.
Highlight Soft Skills: Since this role is customer-facing and collaborative, emphasise your communication and teamwork abilities. Share examples of how you've successfully worked with cross-functional teams to deliver projects.
How to prepare for a job interview at Starbuck James Ltd
✨Showcase Your Cloud Expertise
Be prepared to discuss your hands-on experience with AWS and Azure services in detail. Highlight specific projects where you designed or managed cloud architecture, and be ready to explain the challenges you faced and how you overcame them.
✨Demonstrate Infrastructure-as-Code Knowledge
Familiarise yourself with infrastructure-as-code tools like Terraform. During the interview, share examples of how you've implemented these tools in past roles, focusing on the benefits they brought to your projects.
✨Emphasise Collaboration Skills
Since this role is highly collaborative, be ready to discuss your experience working with cross-functional teams. Share examples of how you’ve influenced project outcomes through effective communication and teamwork.
✨Prepare for Technical Challenges
Expect technical questions or scenarios related to CI/CD pipelines, containerisation, and orchestration. Brush up on your knowledge of Docker and Kubernetes, and be ready to solve problems on the spot to demonstrate your technical prowess.
