Senior Cloud Engineer

Get Staffed Online Recruitment
Leeds
1 month ago
Applications closed

Related Jobs

View all jobs

Senior DevOps Engineer

Senior Data Engineer

Senior Data Engineer

Lead Architect

Senior Data Engineer

Senior Data Engineer

GCP Senior Cloud Engineer

Hybrid - Leeds - office 1 day per week

Salary - Competitive

Our client is on a mission to create environments in which them and their customers can be successful, delivering value through secure, lean, automated operations whilst looking for opportunities for innovation. Continuously improving through open, honest feedback and collaboration.

The Role:

As a Senior Cloud Engineer in the GCP practice, you will help to deliver world-class architectures for our client's customers. Leveraging the GCP product landscape, you will piece together innovative solutions and act as a technical lead in project teams while interfacing with the customers to meet their requirements and goals. This role is a hybrid role, with requirements to be in our client's Leeds head office on a weekly basis. Occasional travel to client sites, including travel to London is involved in this role.

Responsibilities:

  • Work alongside Infrastructure and Data Engineers, along with their development team to implement cloud solutions for their clients, using Google Cloud and supporting technologies.
  • Interface with customers to meet requirements and goals, adapting implementation methodologies as necessary.
  • Execute on technical designs for architectures and solutions as agreed with the technical design authority.
  • Act as a technical SME within project teams and the wider practice, providing technical support and guidance to junior team members.
  • Ensure alignment to cloud design principles (e.g. Google Cloud Architecture Framework) or policies as dictated by the customer requirements.

Minimum qualifications:

  • Google Cloud Professional Cloud Architect certification.
  • Demonstrable experience delivering solutions in the public or private Cloud, using appropriate design patterns.
  • Experience modernising applications in, or moving to, the Cloud through the implementation of refactoring or re-platforming exercises.
  • Excellent understanding of technology and security fundamentals as follows but not limited to IT operations, service architecture, database systems, networking, IT security, application development, cloud-native application development, hosted services and storage systems.
  • Experience with PaaS and IaaS technologies including Cloud infrastructure, serverless/function-based computing, container-based computing and database technologies.
  • Excellent organisational, analytical and influencing skills, with the ability to speak and write in English fluently.

Preferred qualifications:

  • Any other Google Cloud Professional certification.
  • Experience in technical project/programme management, either in corporate IT, professional services, consulting or product development.
  • Experience of implementing multi-cloud platforms or implementing solutions on other Cloud provider platforms.
  • Experience working on large-scale Cloud migration programmes.
  • Experience with Cloud security including identity and access management (IAM), OAuth, service accounts and certificates.
  • Application or Platform automation development experience.
  • Ability to quickly learn, understand and work with new emerging technologies, methodologies, and solutions in the Cloud/IT technology space.

Apply today with an up-to-date CV.

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Navigating Data Science Career Fairs Like a Pro: Preparing Your Pitch, Questions to Ask, and Follow-Up Strategies to Stand Out

Data science has taken centre stage in the modern workplace. Organisations rely on data-driven insights to shape everything from product innovation and customer experience to operational efficiency and strategic planning. As a result, there is a growing need for skilled data scientists who can analyse large volumes of data, build predictive models, communicate findings effectively, and collaborate cross-functionally. If you are looking to accelerate your data science career—or even land your first role—attending data science career fairs can be a game-changer. Unlike traditional online applications, face-to-face interactions let you showcase your personality, passion, and communication skills in addition to your technical expertise. However, to stand out in a busy environment, you need a clear strategy: from polishing your personal pitch and asking thoughtful questions to following up with a memorable message. In this article, we’ll guide you through every step of making a strong impression at data science career fairs in the UK and beyond.

Common Pitfalls Data Science Job Seekers Face and How to Avoid Them

Data science has become a linchpin for decision-making and innovation across countless industries, from finance and healthcare to tech and retail. The demand for data scientists in the UK continues to climb, with businesses seeking professionals who can interpret complex datasets, build predictive models, and communicate actionable insights. Despite this high demand, the job market can be extremely competitive—and many applicants unknowingly fall into avoidable traps. Whether you’re an aspiring data scientist fresh out of university, a professional transitioning from a quantitative role, or a seasoned analyst looking to expand your skill set, it’s crucial to navigate your job search effectively. In this article, we explore the most common pitfalls data science job seekers face and provide pragmatic advice to help you stand out. By refining your CV, portfolio, interview strategies, and communication skills, you can significantly increase your chances of landing a rewarding data science role. If you’re looking for your next data science job in the UK, don’t forget to explore the listings at Data Science Jobs. Read on to discover how to avoid critical mistakes and position yourself for success.

Career Paths in Data Science: From Entry-Level Analysis to Leadership and Beyond

Data is the lifeblood of modern business, and Data Scientists are the experts who turn raw information into strategic insights. From building recommendation engines to predicting market trends, the impact of data science extends across virtually every industry—finance, healthcare, retail, manufacturing, and beyond. In the UK, data-driven decision-making is critical to remaining competitive in a global market, making data science one of the most sought-after career paths. But how does one launch a career in data science, and how can professionals progress from entry-level analysts to senior leadership roles? In this comprehensive guide, we’ll explore the typical career trajectory, from junior data scientist to chief data officer, discussing the key skills, qualifications, and strategic moves you need to succeed. Whether you’re a recent graduate, transitioning from another technical field, or an experienced data scientist aiming for management, you’ll find actionable insights on forging a successful career in the UK data science sector.