5 of 5 Virtual Private Cloud Jobs in the Thames Valley

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 priority applications. Implement IaC at scale (Terraform … FCA/NHS/PCI as applicable). Key Responsibilities Architecture & Design Produce HLDs/LLDs, diagrams, ADRs, non‐functional requirements, and traceability to business goals. Select and justify cloud services (compute, storage, data, AI/ML, integration). Define multi‐cloud connectivity (hub‐and‐spoke, transit gateways, ExpressRoute/Direct Connect/Cloud Interconnect, SD‐WAN … cost optimisation . Comfortable in highly regulated environments (finance, healthcare, public sector) is a plus. Technical Stack (Desired) Cloud: Azure (Resource Manager, Entra ID, Policy, Monitor), AWS (EC2, VPC, IAM, TGW), GCP (VPC, IAM, Interconnect). Networking: DNS, TLS/mTLS, BGP, NAT, WAF, CDN, private endpoints, service endpoints. Compute/Containers: AKS/EKS/GKE, ECS More ❯

Flask, or FastAPI Proven experience building REST APIs in production Strong command of relational databases (especially PostgreSQL) Familiarity with containerisation (Docker) and version-controlled environments Hands-on AWS experience (VPC, EC2, S3, IAM, ALB/ELB, etc.) Exposure to CI/CD practices and infrastructure-as-code Comfortable leading backend projects and mentoring peers *Active MoD SC* Diversity & Inclusion We More ❯

cutting-edge AI research with hands-on, mission-critical infrastructure ownership. The role demands an engineer who is equally adept at orchestrating sophisticated LLM workflows and managing scalable, secure cloud and edge environments. Why Join? Pioneering Work: Lead the charge on complex multi-agent systems using frameworks like LangGraph, pushing the boundaries of applied AI in production. Full Ownership … AI concepts into production reality. The scope includes: Architecting and optimizing multi-agent AI pipelines with 4+ agents for scale, reasoning, and automation. Implementing and maintaining multi-region AWS cloud infrastructure using Infrastructure as Code (IaC) tools like Terraform . Ensuring system reliability, security hardening (IAM, GuardDuty), and comprehensive observability for all AI services. Driving zero-touch deployment using … agent orchestration skills, including memory and tool integration. Expertise in Python for AI development and proficiency in Bash/Go for automation. Deep familiarity with core AWS services (EC2, VPC, IAM, S3, ALB/ELB, ECR/ECS). Solid experience with IaC (Terraform) and containerisation (Docker) . Experience in CI/CD engineering using GitHub Actions or Argo CD More ❯

than at least four agents. This role blends cutting-edge AI research with hands-on deployment leadership. You will design and optimise agent-based AI pipelines, deploy them into cloud and edge environments, and own the infrastructure that keeps them secure, scalable, and cost-efficient. You will be as comfortable in a Jupyter Notebook as you are in a … production. - Strong grasp of multi-agent orchestration, memory, and tool integration. - Proficiency in Python for AI development and Bash/Go for automation. - Familiarity with AWS core services (EC2, VPC, IAM, S3, ALB/ELB, CloudFront, ECR/ECS, Elastic Beanstalk, Control Tower). - Familiarity with IaC (Terraform, Terraform Cloud, CloudFormation) and expertise in containerisation (Docker, Docker Compose). More ❯

designing, developing and optimising AI pipelines that bring intelligent agent based systems to life, from research through to real world deployment. This includes working across both AI development and cloud infrastructure, ensuring that solutions are secure, scalable and cost effective. You should be equally comfortable experimenting in a Jupyter Notebook as you are configuring cloud infrastructure with Terraform … production. Strong grasp of multi-agent orchestration, memory, and tool integration. Proficiency in Python for AI development and Bash/Go for automation. Familiarity with AWS core services (EC2, VPC, IAM, S3, ALB/ELB, CloudFront, ECR/ECS,Elastic Beanstalk, Control Tower). Familiarity with IaC (Terraform, Terraform Cloud, CloudFormation) and expertise incontainerisation (Docker, Docker Compose). Solid More ❯