Location
Remote working arrangement available across the UK, with London or Ipswich as primary office locations.

Hours
Full Time

Salary
Negotiable

About the Role
WTW is seeking a Cloud Platform Engineer - AWS to design, build, and operate the enterprise-scale Amazon Web Services (AWS) compute platform supporting global business services. You will deliver secure, scalable, and highly automated cloud services through Infrastructure as Code, platform standards, governance controls, and operational excellence practices. Joining a platform engineering team managing a mature multi-cloud environment, you will partner closely with Azure platform and application teams to deliver consistent outcomes across clouds.

Your responsibilities will include engineering and operating a large-scale, multi-account AWS environment governed through AWS Organizations, organizational units (OUs), and AWS Control Tower. You will design, implement, and manage AWS compute infrastructure such as Amazon EC2, Auto Scaling groups, Elastic Load Balancing, Amazon EBS, and standardized machine images (AMIs) built with EC2 Image Builder.

Collaboration with network and security teams on foundational services like Amazon VPC, AWS Transit Gateway, security groups, and Amazon Route 53 will ensure secure, reliable workload connectivity. You will implement and maintain cloud security services including AWS Security Hub, Amazon GuardDuty, Amazon Inspector, AWS KMS, AWS Secrets Manager, and IAM roles and instance profiles, driving vulnerability remediation and platform hardening.

Automation of provisioning, configuration, and ongoing support will be achieved using Terraform, AWS CloudFormation or AWS CDK, AWS CLI, Python, and PowerShell. Managing server fleets at scale with AWS Systems Manager tools such as Patch Manager, State Manager, Session Manager, and Run Command will be key.

You will enforce governance standards across the AWS estate, including landing zone design, Service Control Policies (SCPs), AWS Config rules, IAM and IAM Identity Center access models, tagging policies, account vending, and compliance controls. Ensuring resilience and recoverability of compute workloads through high-availability design, AWS Backup, and disaster recovery solutions like AWS Elastic Disaster Recovery is essential.

Optimizing cloud resources for performance, cost, and availability using Amazon CloudWatch, AWS CloudTrail, AWS Cost Explorer, AWS Budgets, AWS Compute Optimizer, and Savings Plans will be part of your role. You will collaborate with DevOps and application teams to support CI/CD pipelines, containerized workloads (Amazon ECS, Amazon EKS, AWS Fargate), and serverless and managed services such as AWS Lambda.

Promoting multi-cloud consistency by aligning AWS standards, tooling, and operating practices with the existing Azure platform where appropriate will be expected. You will resolve support tickets, troubleshoot complex platform issues promptly, perform root cause analysis to prevent recurrence, and document processes, procedures, and infrastructure designs to promote knowledge sharing and continuous improvement.

Staying current with AWS service releases and industry trends and recommending improvements to the platform roadmap will ensure ongoing platform excellence.

Experience
- Demonstrated expertise in cloud infrastructure with practical experience building and operating production workloads within AWS.
- Strong understanding of IaaS server management on AWS, including high availability, monitoring, backup, and disaster recovery.
- Experience with Terraform in a production environment.
- Working knowledge of AWS identity and governance, including IAM, AWS Organizations, and Service Control Policies.
- Understanding of CI/CD tools and concepts such as GitHub Actions, Azure DevOps, and AWS CodePipeline.
- Proficiency in scripting with Python and/or PowerShell.
- Hands-on experience with Microsoft Azure (virtual machines, Management Groups, Azure Policy, Defender for Cloud) and operating in multi-cloud environments.
- Experience with GitHub Enterprise.
- Familiarity with additional Infrastructure as Code tools such as AWS CloudFormation, AWS CDK, Bicep, or ARM templates.
- Experience managing hybrid and on-premises servers through AWS Systems Manager, Azure Arc, or OSConfig.
- Experience with vulnerability management programs and tooling.
- Experience administering Linux servers in AWS.
- Basic understanding of AI/ML operational concepts, model lifecycle management, and supporting cloud infrastructure (e.g., Amazon SageMaker, Amazon Bedrock).
- Experience working within DevOps and Agile delivery models.
- AWS certifications such as AWS Certified CloudOps Engineer – Associate, Solutions Architect – Associate or Professional, DevOps Engineer – Professional, or Security – Specialty.
- Azure certifications (e.g., AZ-104, AZ-305) are a plus.

About you
- Ability to influence technical direction across globally distributed teams.
- Strong analytical and troubleshooting skills with a methodical approach to complex problems.
- Clear, effective communication with both technical and non-technical stakeholders.
- Commitment to continuous improvement and operational excellence.
- Sound judgment in balancing governance, security, reliability, and delivery speed.

Qualifications
Bachelor’s degree in Computer Science, Information Technology, or a related field, or equivalent practical experience.