6 of 6 AWS KMS Jobs in the Thames Valley

As a Senior AWS Security Architect you will oversee and manage complex projects within the finance domain utilizing your expertise in AWS technologies. You will ensure seamless integration and deployment processes while maintaining high security standards. Your role will involve collaborating with cross-functional teams to deliver projects on time and within budget contributing to the … organization's strategic goals. Candidates should be SC cleared or Eligible for SC clearance Responsibilities Design, implement, and maintain scalable security solutions using AWS services, including AWS WAF, AWS Shield Advanced, AWS Secrets Manager, Amazon Inspector, Amazon Macie, Amazon GuardDuty, Amazon Detective, AWS CloudTrail, and AWS Security Hub. … tailored security solutions. Collaborating with Security and Infrastructure teams to improve Network Defence and Vulnerability Management. Skills required, including - Checkpoint Firewall, Network Defence and Vulnerability Management: AWS KMS, AWS Secrets Manager, AWS API Gateway, AWS WAF, Amazon Inspector, Amazon Macie ,Amazon GuardDuty, AWS CloudTrail, AWS Security Hub More ❯

Objectives & Outcomes Define and socialise target state architectures across Azure/AWS/GCP (networking, identity, landing zones, operations). Deliver reference architectures and reusable patterns for containerised, serverless, and data workloads. Establish/extend Cloud Landing Zones (policy, guardrails, RBAC, tagging, network segmentation). Lead migration and modernisation (re‐host/re‐platform/re‐factor) for … Define multi‐cloud connectivity (hub‐and‐spoke, transit gateways, ExpressRoute/Direct Connect/Cloud Interconnect, SD‐WAN). Design identity and access (Azure AD/Microsoft Entra, AWS IAM, GCP IAM; SSO; workload identities). Platform Engineering Standardise Terraform modules; enforce code quality, policy‐as‐code (OPA/Conftest/Azure Policy). Build/optimise Kubernetes … environment promotion, secrets management, artifact repos. Security & Compliance Define guardrails (CIS benchmarks), cloud security posture management (Defender for Cloud, AWS Security Hub, GCP SCC). Vaulting and KMS (AWS KMS, Azure Key Vault, GCP KMS), key rotation, data classification & encryption. Threat modelling, zero trust patterns, vulnerability management, incident runbooks. Data & Integration Reference architectures More ❯

Objectives & Outcomes Define and socialise target state architectures across Azure/AWS/GCP (networking, identity, landing zones, operations). Deliver reference architectures and reusable patterns for containerised, serverless, and data workloads. Establish/extend Cloud Landing Zones (policy, guardrails, RBAC, tagging, network segmentation). Lead migration and modernisation (re‐host/re‐platform/re‐factor) for … Define multi‐cloud connectivity (hub‐and‐spoke, transit gateways, ExpressRoute/Direct Connect/Cloud Interconnect, SD‐WAN). Design identity and access (Azure AD/Microsoft Entra, AWS IAM, GCP IAM; SSO; workload identities). Platform Engineering Standardise Terraform modules; enforce code quality, policy‐as‐code (OPA/Conftest/Azure Policy). Build/optimise Kubernetes … environment promotion, secrets management, artifact repos. Security & Compliance Define guardrails (CIS benchmarks), cloud security posture management (Defender for Cloud, AWS Security Hub, GCP SCC). Vaulting and KMS (AWS KMS, Azure Key Vault, GCP KMS), key rotation, data classification & encryption. Threat modelling, zero trust patterns, vulnerability management, incident runbooks. Data & Integration Reference architectures More ❯

development and deployment of mission-critical backend systems, targeting 99.999% availability. Architect and deliver high-throughput, cloud-native services using Java/Spring Boot , Node.js , and Python across AWS and Kubernetes environments. Implement event-driven architectures using Kafka, RabbitMQ, and AWS services (SNS, SQS, Lambda, DynamoDB). Drive automation across CI/CD pipelines using tools … record designing and delivering microservice architectures and API ecosystems using Spring Boot , Node.js , and Python . Deep technical expertise across AWS (EKS, ECS, Lambda, VPC, PrivateLink, CloudWatch, KMS, Aurora) and Kubernetes (Helm, Terraform, Argo CD). Experience with API Gateways such as Kong , ApigeeX , or Istio — including configuration of mTLS, OAuth2, OIDC, and JWT validation. Strong command … scenarios. Desirable Experience Deep understanding of payments systems , settlement flows , and transaction risk monitoring . Proven ability to deliver platform migrations or Open Banking integrations. Cross-cloud exposure (AWS and GCP). Experience integrating identity and access management systems (e.g. Ping Identity, OAuth2 frameworks). Experience leading initiatives in regulated environments or supporting compliance with operational resilience standards. More ❯

technical excellence while staying hands-on. Collaborate with internal infra/platform teams to align capabilities and avoid duplication. Design and implement secure, cost-aware, scalable systems using AWS services and Kubernetes. Mentor junior engineers and set best practices for AI/ML infrastructure. Influence across organisational boundaries and champion modern engineering trends. Stay ahead of the curve … in Generative AI, ML infrastructure, and cloud-native tooling. Tech Stack Programming: Python (Java familiarity is a plus). AWS: S3, Kinesis, Glue, Lambda, Step Functions, SageMaker, and more. On-Prem: Managed Kubernetes Platform and Hadoop ecosystem. Why This Role is Different Direct Impact: Build AI tools that traders and quants use daily to optimize strategies. Creative Freedom … code quality and testing. Demonstrable experience applying GenAI concepts to front-office/capital market environments. Deep experience with AWS services (S3, Glue, Kinesis, Lambda, ECS, IAM, KMS, API Gateway, Step Functions, MSK, CloudFormation). Passion for being hands-on while enabling and growing a small engineering team. Nice to Have Experience with on-prem Hadoop and More ❯

platform services for AI-driven trading. Collaborate with internal infra/platform teams to align capabilities and avoid duplication. Design and implement secure, cost-aware, scalable systems using AWS services and Kubernetes. Contribute to best practices for AI/ML infrastructure and mentor junior engineers when needed. Work across organisational boundaries and champion modern engineering trends. Stay ahead … of the curve in Generative AI, ML infrastructure, and cloud-native tooling. Tech Stack Programming: Python (Java familiarity is a plus). AWS: S3, Kinesis, Glue, Lambda, Step Functions, SageMaker, and more. On-Prem: Managed Kubernetes Platform and Hadoop ecosystem. Why This Role is Dfferent Direct Impact: Build AI tools that traders and quants use daily to optimize … and testing. Demonstrable experience applying Generative AI concepts (ideally in a front-office/capital market environment) Experience with AWS services (S3, Glue, Kinesis, Lambda, ECS, IAM, KMS, API Gateway, Step Functions, MSK, CloudFormation). Experience working in a fast-paced front-office environment in either engineering or analytical roles. Passion for being hands-on and contributing More ❯