3,211 Cloud Governance jobs in the United Kingdom

The role

Hexegic are looking for a skilled cloud engineer with a strong background in AWS to contribute to the secure design, development and deployment of cloud infrastructure to our military customer. This is an opportunity to work on exciting projects in our collaborative Applied Technology team, with a high degree of autonomy.

About us

Hexegic are a leading technical consultancy providing agile multi-disciplinary teams to high performing organisations. The company promises exciting, engaging and rewarding projects for those that are keen to develop and build a successful career.

Core Responsibilities

• Secure development, deployment and maintenance of cloud infrastructure, applications and devices
• Deployment and uptime of cloud services
• Deployment of cloud services using IAC, and applications with Ansible
• Collaborating with the wider applied technology team and customer to define, design and propose innovative solutions to complex problems
• Investigate and test new technologies and services to improve our work

What we are looking for

• Strong experience with AWS
• Experience using IAC, such as Terraform
• Experience with Ansible for configuration
• Proficiency in networking
• Active security clearance is a must for this position

What’s in it for you?

• Base salary of £60-65k
• £5000 a year professional development budget
• Wellness program
• 25 days annual leave

Note: this role will require 4 days per week on-site supporting our customer, and candidates are required to hold at least an active SC clearance, and be willing and eligible to obtain DV

New permanent opportunity for a security cleared Cloud Native Engineer for a leading national security consultancy in Cheltenham.

• Up to £85,000 based on experience
• Cheltenham Location – hybrid working model
• Expertise required in AWS, Infrastructure as Code, Java/Python, team leadership
• Must already hold active SC Clearance and be eligible for eDV clearance.

Role Overview:

In this role, you will design and deliver innovative cloud-native solutions using AWS services and modern software engineering practices. You’ll lead end-to-end implementation, collaborating with cross-functional teams while providing technical leadership and mentorship at a senior level. With a strong focus on scalability, DevOps, and Agile methodologies, you will act as a trusted advisor to customers and help drive continuous improvement across projects.

Some responsibilities include:

• Deliver cloud-native solutions using AWS, DevOps, and modern engineering tools
• Build and manage scalable, serverless infrastructure with IaC and Kubernetes
• Drive Agile practices and ensure stakeholder alignment
• Mentor team members and foster a culture of continuous learning

Experience required:

• Expertise with a major cloud platform (preferably AWS) and cloud-native development
• Skilled in Kubernetes and managing large-scale containerised applications
• Proficient in Infrastructure as Code tools like Terraform or CloudFormation
• Application development experience in languages such as Java, Go, or Python
• Strong DevOps mindset with hands-on experience in CI/CD, GitOps, and Agile practices
• Effective communicator with strong stakeholder engagement skills
• Committed to continuous learning, with AWS certification encouraged and supported

What happens next?

To apply, please either click online or email directly to For further information, please call or . By applying for this role, you give express consent for us to process and submit your application to our client in conjunction with this vacancy only. You may also connect with the hiring manager on LinkedIn by searching for their name. They look forward to hearing from you.

Duties

Intro:

The Data Analytics Tooling Team is a global team dedicated to empowering our company’s workforce through best-in-class analytical solutions. We manage and support all major analytics platforms, including Tableau, Power BI, Microsoft Fabric, and Knime.

Our mission is to elevate user experience, drive adoption, and simplify workflows by building custom self-serve applications that enable users to onboard and utilize analytic tools with minimal friction.

We operate at the intersection of analytics and engineering, ensuring that our platforms are not just functional but efficient, scalable and automated.

Role responsibilities:

As an Automation Engineer, you will play a key role in scaling and automating self-serve capabilities across our analytics platforms.

Your day-to-day responsibilities will include:

• Designing and developing automation workflows to streamline platform operations (e.g., project and group creation in Tableau, workspace provisioning in Power BI, etc.).
• Building and maintaining custom self-serve applications using product APIs and integrating with internal systems.
• Managing and automating cloud-based services and integrations across multiple platforms (Azure, AWS, GitHub, etc.).
• Developing and maintaining REST APIs and backend services to enable seamless communication between platforms and tools.
• Working closely with other team members in Agile sprints, participating in daily stand-ups, sprint planning, and retrospectives.
• Monitoring system performance, ensuring reliability, and proactively identifying opportunities for improvement.
• Collaborating with stakeholders across different regions and functions to ensure a smooth and efficient user experience.

Skills

Mandatory skills:

• Strong programming skills in one or more of the following: Python, JavaScript/TypeScript, or similar.
• Proven experience in automation development, API integration, and workflow orchestration.
• Hands-on experience with cloud platforms (Azure and/or AWS) including resource provisioning, service management, and security best practices.
• Demonstrated ability to build and maintain REST APIs, services, and microservice architectures.
• Familiarity with CI/CD pipelines and version control (e.g., GitHub, GitLab).
• Experience working in an Agile environment, including sprint-based delivery and daily collaboration.
• Strong problem-solving and communication skills with the ability to work in global, cross-functional teams.

Desirable skills:

• Experience with Tableau REST API, Power BI REST API, or Microsoft Fabric automation.
• Knowledge of Knime Hub or similar analytical workflow platforms.
• Experience integrating with identity and access management systems (e.g., Azure AD, Okta).
• Familiarity with containerization technologies like Docker or Kubernetes.
• Exposure to infrastructure as code (e.g., Terraform, ARM templates, Bicep).
• Understanding of monitoring and logging frameworks (e.g., Splunk, CloudWatch, Application Insights).
• Basic understanding of UI frameworks for building simple front-end interfaces (e.g., React, Angular, or Vue).

Education

Bachelor's degree in Computer Science, Information Technology, or a related field. Relevant certifications such as AWS Certified Solutions Architect, Azure Administrator, or Google Cloud Certified - Professional Cloud Architect are preferred.

Role: Cloud Engineer

Type: Contract (Inside IR35)

Location: Endinburg/Glasgow, UK(Hybrid)

Description:

The Senior Cloud Engineer will have broad experience of software development, infrastructure engineering and operations and will understand the goals and strategy behind each project from conception through completion. They will support the development and operation of software through tools, environments and practices and are responsible forunderpinning good development processes.

This ELK SME adaptation utilises engineering experience as the base skillset but

also extends into strong Elastic, Logstash and Kibana experience, allowing change

and improvement within the Agency’s Logging Monitoring and Alerting (LMA)

implementation of ELK.

Skills Required:

The ELK (Elastic Logstash & Kibana) SME is an extension of the Cloud Engineering role.

• ELK SME Extension

• Professional experience in the design, maintenance and management of Elastic stacks (Elasticsearch, Logstash, Kibana)

• Experience of configuring and maintaining large Elastic cluster

• Experience working with large data sets and elastic indexing best practices.

• Good understanding of Visualisation components and techniques in Elasticsearch.

• Proven experience in performance management and tuning of Elasticsearch

environment.

• Strong experience in writing data ingestion pipelines using Logstash and other big

data technologies.

Role Description:

The Senior Cloud Engineer will have broad experience of software development,

infrastructure engineering and operations and will understand the goals and

strategy behind each project from conception through completion.

They will support the development and operation of software through tools, environments and practices and are responsible forunderpinning good development processes.

This ELK SME adaptation utilises engineering experience as the base skillset but

also extends into strong Elastic, Logstash and Kibana experience, allowing change

and improvement within the Agency’s Logging Monitoring and Alerting (LMA)

implementation of ELK.

The role requires a dynamic, highly motivated individual with the ability to work

under pressure, and have well developed problem solving skills. You must be an

excellent team player, quick learner and self-starter dedicated to maintaining high

quality standards.

Skills Required:

The ELK (Elastic Logstash & Kibana) SME is an extension of the Cloud Engineering role. In

addition to being experienced Cloud Engineers as per the full description below the

candidates also need 2 years of experience as follows.

• ELK SME Extension
• Professional experience in the design, maintenance and management of Elastic stacks
• (Elasticsearch, Logstash, Kibana)
• Experience of configuring and maintaining large Elastic cluster
• Experience working with large data sets and elastic indexing best practices.
• Good understanding of Visualisation components and techniques in Elasticsearch.
• Proven experience in performance management and tuning of Elasticsearchenvironment.
• Strong experience in writing data ingestion pipelines using Logstash and other big data technologies.

Cloud DevOps Engineer – Professional

Location: Hybrid London/Sheffield, UK.

Contract: 6 month Contract

Salary: Competitive

About the Role

We’re looking for a talented Cloud DevOps Engineer to join our IT Operations team and help drive innovation, automation, and reliability across our Azure cloud environments.

In this role, you’ll take ownership of the performance, security, and cost-effectiveness of our cloud platforms. You’ll bring a strong DevOps mindset, expertise in automation and Infrastructure as Code, and a passion for continuous improvement across all aspects of cloud operations.

Key Responsibilities

• Cloud Infrastructure Operations: Manage and monitor daily operations across Azure SaaS, IaaS, and PaaS environments.
• FinOps & Cost Optimisation: Implement best practices to monitor usage, optimise costs, and forecast spend, aligning cloud consumption with business goals.
• Disaster Recovery & Backup: Design and test DR strategies for critical cloud workloads, ensuring resilience and business continuity.
• Infrastructure as Code: Maintain and evolve Terraform modules for automated, consistent, and version-controlled deployments.
• Security & Access Management: Administer Conditional Access Policies, manage application registrations, and enforce secure identity and access practices.
• Monitoring & Incident Response: Configure and manage tools like Azure Monitor and Log Analytics to proactively detect and resolve issues.
• Compliance & Documentation: Maintain accurate technical documentation and ensure adherence to security and regulatory standards.
• Collaboration & Continuous Improvement: Partner with development, security, and operations teams to advance CI/CD and DevSecOps practices.

About You

You’re an experienced Cloud or DevOps Engineer who thrives on automation, efficiency, and problem-solving. You’ll be confident working in a hybrid cloud environment and able to translate complex technical requirements into scalable, secure, and reliable solutions.

Essential skills and qualifications:

• Microsoft Certified: Azure Solutions Architect Expert
• Microsoft Certified: Azure DevOps Engineer Expert
• Microsoft Certified: Azure Security Engineer Associate
• Microsoft Certified: Azure Administrator Associate
• HashiCorp Certified: Terraform Associate
• FinOps Certified Practitioner
• 5+ years in infrastructure and cloud engineering, including 3+ years working with Azure.
• Strong knowledge of IaC (Terraform, PowerShell, Python), CI/CD (Azure DevOps, GitHub Actions), and cloud security best practices.
• Proven experience embedding FinOps and cloud cost-management strategies.
• Background in regulated industries such as finance or government.

Why Join Us

You’ll work in a forward-thinking, collaborative IT Operations team where innovation is encouraged, and professional growth is supported. We offer flexible hybrid working, opportunities to lead on cutting-edge cloud initiatives, and a culture that values both technical excellence and work-life balance.

Cloud Engineer (London, Hybrid)

We're a VC backed business working on behavioral AI solutions for the retail industry, currently operating in stealth mode. We operate in a zero-legacy environment with a mandate to build a cutting-edge platform for our customers.

Role:

We’re looking for an experienced Cloud Engineer to join our engineering team to help design & build our cloud platform from the ground up. This role is ideal for someone looking for a greenfield opportunity working on cutting-edge solutions.

Essential Qualifications:

• Strong experience designing, building, and supporting infrastructure in cloud environments.
• Deep understanding of cloud networking concepts and patterns, including routing, private connectivity, and security controls best practices.
• Solid experience with container orchestration systems and how to manage workloads at scale.
• Proficient with Infrastructure as Code tools and practices.
• Comfortable writing automation, configuration, and tooling to simplify operations and reduce manual effort.
• Knowledgeable about observability tools & best practices.
• Ability to collaborate across teams with excellent written and verbal communication skills.

Nice to Have Qualifications:

• Experience with multi-cloud and/or hybrid deployments.
• Knowledge of optimising and managing large-scale data processing frameworks (Eg. Spark, Trino, or similar)
• Experience optimizing cloud costs/spend.
• Experience setting up SRE, self-service, and incident-management processes.

Cloud Engineer (London, Hybrid)

We're a VC backed business working on behavioral AI solutions for the retail industry, currently operating in stealth mode. We operate in a zero-legacy environment with a mandate to build a cutting-edge platform for our customers.

Role:

We’re looking for an experienced Cloud Engineer to join our engineering team to help design & build our cloud platform from the ground up. This role is ideal for someone looking for a greenfield opportunity working on cutting-edge solutions.

Essential Qualifications:

• Strong experience designing, building, and supporting infrastructure in cloud environments.
• Deep understanding of cloud networking concepts and patterns, including routing, private connectivity, and security controls best practices.
• Solid experience with container orchestration systems and how to manage workloads at scale.
• Proficient with Infrastructure as Code tools and practices.
• Comfortable writing automation, configuration, and tooling to simplify operations and reduce manual effort.
• Knowledgeable about observability tools & best practices.
• Ability to collaborate across teams with excellent written and verbal communication skills.

Nice to Have Qualifications:

• Experience with multi-cloud and/or hybrid deployments.
• Knowledge of optimising and managing large-scale data processing frameworks (Eg. Spark, Trino, or similar)
• Experience optimizing cloud costs/spend.
• Experience setting up SRE, self-service, and incident-management processes.