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AWS Security & Cloud Platform Consultant

Job Description - AWS Security & Cloud Platform Consultant

Tasks

AWS Security & Cloud Platform consultant

Location: London,UK

3months + Contract with possible extension

Role Summary

We are seeking an experienced AWS Security & Cloud Platform Consultant to lead the technical execution of a large-scale Defensive AI and Bot Mitigation Proof of Value for a high-volume enterprise digital platform. The consultant will design, build, and deploy cloud-native security controls, observability solutions, traffic analytics, automation frameworks, and AI-assisted operational capabilities using AWS services and Infrastructure as Code.

The role requires deep expertise in AWS networking, CloudFront, WAF, security automation, observability, large-scale log analytics, and cloud-native delivery practices.

Key Responsibilities

Cloud Security & Edge Protection

  • Design and implement AWS WAF and CloudFront-based protection architectures.
  • Configure managed rule sets, rate-limiting controls, traffic classification, and bot mitigation capabilities.
  • Implement layered security controls to identify and mitigate malicious traffic.
  • Build and optimize edge caching strategies to reduce origin load and operational costs.

Infrastructure as Code & Platform Engineering

  • Develop Infrastructure as Code using AWS CDK, CloudFormation, or Terraform.
  • Contribute code through enterprise Git repositories and CI/CD pipelines.
  • Create reusable deployment templates, automation scripts, and operational runbooks.
  • Support deployment rehearsals and production release preparation.

Observability & Analytics

  • Implement logging pipelines using:

  • AWS WAF Logs

  • Kinesis Firehose

  • Amazon S3

  • Amazon Athena

  • CloudWatch

  • Develop scheduled analytics queries and reporting frameworks.

  • Establish operational dashboards, KPIs, alerting, and performance monitoring.

  • Analyse traffic patterns and produce security and cost optimisation insights.

Bot Detection & Threat Intelligence

  • Develop traffic profiling and behavioural analysis models.
  • Analyse API usage, fingerprinting signals, client patterns, token adoption, and anomaly indicators.
  • Produce evidence packs for security reviews and governance gates.
  • Measure detection effectiveness, precision, false-positive rates, and operational impact.

AI & Security Automation

  • Design and implement AI-assisted operational workflows.
  • Build automated analysis and recommendation loops using AWS native services.
  • Implement governance guardrails, kill-switch controls, and audit mechanisms.
  • Support autonomous or semi-autonomous security response workflows.

Stakeholder Engagement

  • Work closely with:

  • Security teams

  • Platform Engineering

  • SRE teams

  • Application Development teams

  • Architecture and Governance forums

  • Prepare executive-level reports and decision-gate documentation.

  • Facilitate technical workshops and design reviews.

Requirements

Required Skills

AWS Expertise

  • AWS WAF
  • Amazon CloudFront
  • AWS Shield Advanced
  • Amazon Athena
  • Amazon S3
  • Amazon CloudWatch
  • Amazon Kinesis Firehose
  • AWS Lambda
  • API Security
  • Cost Optimisation

Cloud Engineering

  • AWS CDK
  • CloudFormation
  • Terraform
  • CI/CD Pipelines
  • Git-based development workflows
  • Infrastructure Automation

Security & Networking

  • Web Application Security
  • Bot Management
  • API Security
  • DDoS Protection
  • Identity & Access Management
  • Network Security Architecture

Data & Analytics

  • SQL / Athena Query Development
  • Log Analytics
  • Threat Detection
  • Data Visualisation
  • KPI and Operational Reporting

Preferred Qualifications

  • AWS Certified Security Specialty
  • AWS Certified Solutions Architect Professional
  • AWS Advanced Networking Certification
  • Experience delivering security transformation initiatives on AWS.
  • Experience working in regulated, enterprise-scale environments.
  • Familiarity with AI-driven operations (AIOps), security analytics, and autonomous remediation frameworks.


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