IT & Software

Cloud Engineer, Forensic & Financial Crime Technology Advisory and Data Analytics

Deloitte

London · Greater London · United Kingdom

Overview

As a Senior Cloud Architect in Deloitte’s Financial Crime Technology Advisory and Data Analytics team, you’ll design, build and operate secure cloud platforms at scale for regulated financial clients. You lead end-to-end architecture decisions, supervise code and infrastructure delivery, and work directly in client environments to balance security, resilience and cost. You’ll mentor engineers, shape reusable assets, and contribute to cutting-edge data and AI pipelines. This role offers high-impact work across cloud, data, AI and compliance in a fast-growing practice.

Pay / Benefits
  • hybrid working London
  • flexible working arrangements
  • professional development opportunities
  • supportive culture
  • wellbeing focus
Responsibilities
  • Own end-to-end solution and platform architecture across compute, storage, data, networking, and identity; produce target-state designs and ADRs
  • Design and implement secure landing zones and multi-account topologies with hub-and-spoke networking and private connectivity
  • Build and operate Infrastructure as Code (Terraform, Bicep/ARM or CloudFormation) with modular components and guardrails
  • Design and deploy containerised/serverless workloads (Kubernetes AKS/EKS/GKE; serverless platforms) with reliability patterns
  • Create CI/CD and GitOps pipelines (GitHub Actions, Azure DevOps, Argo CD/Flux) with automated testing and security scans
  • Architect data/AI platforms (data lakes/lakehouses, warehouses, streaming) and integrate AI services (Azure OpenAI, Bedrock, Vertex AI)
  • Ensure reliability and observability (SLOs/SLIs, OpenTelemetry, Prometheus, CloudWatch) and lead incident response and DR exercises
  • Embed security by design (IAM, encryption, private endpoints, data residency, GDPR/FS obligations) and FinOps for cost optimisation
  • Provide hands-on technical leadership, set engineering standards, mentor engineers, and manage technical risk
  • Evaluate and prototype new cloud/AI services and contribute to reusable assets and accelerators
Key requirements
  • Proven design and operation experience of production cloud solutions in at least one major cloud (Azure, AWS, GCP)
  • Strong architecture fundamentals and trade-off skills in regulated environments
  • Expert-level Infrastructure as Code (Terraform and/or Bicep/ARM or CloudFormation)
  • Hands-on container orchestration (Docker, Kubernetes; AKS/EKS/GKE) and serverless platforms
  • Solid software engineering skills; proficient in Python, C#, TypeScript/Node.js or Java; able to build/consume REST/gRPC APIs
  • Experience with CI/CD and DevOps/GitOps, including automated testing and security scanning
  • Strong security posture: IAM, key management, encryption, private networking, data residency, GDPR compliance
  • Experience integrating managed AI/model services and building data pipelines
  • Ability to lead a workstream, mentor engineers, and communicate complex designs to diverse audiences
  • Experience in regulated financial services projects and external client delivery
  • Leadership and mentorship
  • Clear communication to technical and non-technical audiences
  • Collaborative teamwork across multi-disciplinary groups
  • Azure, AWS or GCP proficiency
  • Terraform and/or Bicep/ARM or CloudFormation
  • Docker and Kubernetes (AKS/EKS/GKE)

Reference: WJ-747_30419099

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