At a Glance
- Tasks: Secure AWS cloud platforms and AI systems while implementing cutting-edge security controls.
- Company: Join a forward-thinking tech company focused on cloud and AI security.
- Benefits: Enjoy a competitive salary, flexible working, and tailored benefits for your wellbeing.
- Other info: Dynamic work environment with opportunities for professional growth and development.
- Why this job: Make a real impact in the evolving field of cloud and AI security.
- Qualifications: Deep expertise in AWS security and hands-on experience with GuardDuty required.
The predicted salary is between 60000 - 80000 £ per year.
Working Locations: Bristol, London
Working Style: 3 days a week in office, 2 days anywhere
About the role
We are seeking an AWS Cloud & AI Security Engineer to design, implement, and operate security controls across AWS cloud platforms, AI/ML workloads, and Generative AI (GenAI) services. The role has a strong focus on threat detection and response, with particular emphasis on Amazon GuardDuty, Inspector and its integration into enterprise‑scale security operations.
You will work closely with platform, MLOps, data science, and security teams to embed security‑by‑design, automate detection and response, and ensure AI systems are protected against evolving cloud and AI‑specific threats.
What you’ll be doing
- Secure AI/ML platforms using AWS SageMaker and Amazon Bedrock, covering notebooks, pipelines, endpoints, and inference workflows.
- Implement security controls for:
- Training and inference data isolation
- Protection of model artefacts and container images
- Secure GenAI endpoints and RAG data sources.
- Monitor and respond to GuardDuty and CloudTrail findings related to:
- IAM credential compromise and anomalous API behaviour
- EC2, EKS, and container runtime threats
- S3 data access anomalies
- Network reconnaissance and crypto mining activity.
- Integrate GuardDuty with Security Hub, CloudWatch, and SIEM platforms.
- Tune findings, suppress false positives and align alerts with operational priorities.
- Develop automated response playbooks using Lambda and Step Functions.
- Lead incident response activities, containment, and root cause analysis.
- Contribute to threat modelling exercises for cloud, ML, and GenAI architecture.
- Feed lessons learned back into detection rules and preventative controls.
- Support compliance with internal security baselines and external regulatory requirements.
- Define and enforce controls governing how context, prompts, tools, plugins, and external data sources are exposed to AI models.
- Work with MLOps and platform teams to ensure MCP implementations follow least privilege and data minimisation principles.
- Awareness of emerging Gen AI attack vectors such as context/prompt injection, data leakage.
- Integrate AWS WAF with API Gateway to protect against common web and API specific attack patterns.
- Support alerting and investigation of suspicious API behaviour, including excessive token usage, abnormal request rates, or unauthorised endpoint access.
Essential Skills / Experience
- Deep expertise in IAM, VPC security, encryption, and network segmentation.
- Proven hands‑on experience with Amazon GuardDuty in production environments.
- Familiarity with SageMaker security constructs and Bedrock access controls.
- Familiarity with EKS runtime security and container threat detection.
- Understanding of Stride framework for threat modelling.
- Understanding of data protection, privacy, and model lifecycle risks.
- Familiarity with WAF protections and API threat mitigation techniques.
- Experience integrating API Gateway with Lambda, SageMaker endpoints, and Bedrock‑backed services securely.
- Experience with performing continuous vulnerability management using Amazon Inspector to identify security risks across EC2 instances, container images (ECR), and Lambda functions, ensuring timely remediation of critical findings and alignment with cloud security baselines.
- Sound understanding of OAuth 2.0/OpenID connect integrations, mTLS where required.
- Strong understanding of API authentication, authorisation, throttling, and abuse prevention.
Desirable Skills / Experience
- Experience working in automation‑driven, IaC‑based environments.
- Ability to tune and optimise GuardDuty to reduce noise and improve detection accuracy.
- Ability to define standards for secure AI APIs, including GenAI, MCPs, and agent‑based systems.
- Understanding of Model Context Protocols (MCPs) or equivalent patterns used in GenAI systems to pass prompts, tools, and contextual data to models.
- Experience defining security controls for agent‑based or tool‑driven GenAI systems.
- Hands‑on experience securing Amazon API Gateway in production environments.
- AWS certifications strongly preferred – AWS Security Speciality.
- Familiarity with GenAI interaction standards, orchestration layers, or AI gateways.
- Hands‑on delivery experience with Amazon Bedrock to run agentic apps safely in production and build observability around them.
Our Package
Tailored benefits make a real difference. That’s why we offer a comprehensive range to support your growth, wellbeing, and everyday life. Your core benefits include:
- 10% on target annual bonus
- Access to an online private GP 24/7 for you and your immediate family
- Market‑leading paid carers leave with up to 2 weeks off
- Equalised maternity, paternity, and adoption leave – 18 weeks’ full pay and 8 weeks’ half pay
- Discounted EE and BT products, including mobile and broadband
- Market leading Pension scheme – 5% from you and 10% from us
- Holiday purchase scheme
You can select additional benefits, including healthcare, dental, gym memberships and more when you’re ready.
Cloud Security Specialist- AWS in London employer: 慨正橡扯
As a Cloud Security Specialist at our company, you will thrive in a dynamic work environment that champions innovation and collaboration. With a strong focus on employee wellbeing, we offer tailored benefits including a generous bonus scheme, access to private healthcare, and extensive parental leave policies, all designed to support your personal and professional growth. Our inclusive culture encourages continuous learning and development, making this an exceptional place to advance your career in the heart of Bristol or London.
StudySmarter Expert Advice🤫
We think this is how you could land Cloud Security Specialist- AWS in London
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We think you need these skills to ace Cloud Security Specialist- AWS in London
Some tips for your application 🫡
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How to prepare for a job interview at 慨正橡扯
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For a role in cybersecurity, it’s essential to be up-to-date with the latest tools and techniques. Brush up on your knowledge of firewalls, intrusion detection systems, and vulnerability assessment tools. Be ready to discuss specific scenarios where you’ve applied these skills, as hands-on experience can really set us apart in interviews.
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