AWS Platform Engineer

One of the big four are seeking an AWS Platform Engineer to join their team within Technology & Transformation. The team is focused on the technical delivery of new solutions that solve complex challenges for clients. You will help drive innovation and technology forward, collaborating with cross-functional teams and using cutting-edge tools.

We are looking for an experienced cloud platform engineer with in-depth knowledge of engineering and architectural principles to design and build innovative platform solutions., * Solid and demonstrable experience in IT infrastructure and cloud engineering or architecture, with a deep working knowledge of compute, storage, networking, and cloud management principles applied in professional delivery contexts.

• A track record of designing, building, and maintaining cloud-based platforms and infrastructure, with a focus on AWS.
• Hands on experience with AWS, including practical delivery across core services such as Amazon EC2, Amazon EKS, Amazon RDS, Amazon Redshift, Amazon S3, Amazon VPC, AWS Identity and Access Management (IAM), AWS Lambda, and AWS App Runner or AWS Fargate.
• Proficient in Infrastructure as Code (IaC) using tools such as Terraform (including AWS), AWS CloudFormation, or the AWS Cloud Development Kit (AWS CDK).
• Background in CI/CD pipeline design and automation using tools such as Jenkins, GitLab CI/CD, AWS CodePipeline, AWS CodeBuild, or similar.
• Understanding of networking, security, and identity management in cloud environments, including AWS-specific best practices.
• Familiarity with monitoring, logging, and alerting tools (e.g., Prometheus, Grafana, the ELK stack, Amazon CloudWatch, and AWS X-Ray).
• Experience with version control systems (e.g., Git) and scripting languages (e.g., Python, Bash, Go).
• Ability to troubleshoot and optimise workloads for performance, cost, and reliability on AWS.

Desirable experience and skills:

• Professional or specialty level AWS certification,
• Knowledge of site reliability engineering (SRE) principles and practices.
• Hands on experience with infrastructure-as-code tooling, particularly Terraform, AWS CloudFormation, or AWS CDK
• Working knowledge of AI and ML services on AWS, with a clear understanding of how platforms such as Amazon SageMaker, Amazon Bedrock, and Amazon Q Business can be positioned to drive measurable client outcomes.
• Experience with AWS billing, cost management, and optimisation, including services such as AWS Cost Explorer, AWS Budgets, and AWS Cost and Usage Reports.
• Exposure to data engineering or analytics workloads on AWS, such as AWS Glue, Amazon Redshift, Amazon Athena, Amazon Kinesis, Amazon SNS, or Amazon SQS, with an ability to contribute meaningfully to data-driven client programmes alongside specialist data teams.