Negotiable
Undetermined
Undetermined
London Area, United Kingdom
Summary: The Technical Architect will be responsible for the end-to-end technical design of a cloud-agnostic engineering platform with AI-assisted capabilities, ensuring alignment with regulated environments and domain-driven design (DDD) principles. This role involves setting the reference architecture, guiding build decisions, and ensuring the solution is secure, operable, and auditable. Success will be measured by the clarity of the architecture, effective domain segregation, and the safe introduction of AI capabilities. The position requires strong stakeholder management and the ability to translate governance constraints into practical engineering practices.
Key Responsibilities:
- Define the platform reference architecture (cloud-agnostic) covering SCM/CI strategy, IaC approach, Kubernetes baseline, GitOps, container registry strategy, and IDP approach.
- Drive DDD adoption including domain boundaries, context maps, ownership model, and anti-corruption layers.
- Define non-functional requirements and controls such as security, resilience, observability, change management, and audit evidence.
- Establish architecture governance through decision records, architecture reviews, standards, and cross-team alignment.
- Align stakeholders across bank tech, security, risk/compliance, and delivery teams.
- Design the AI-assisted ops capability with guardrails, including approved automation patterns and risk classification of automated actions.
Key Skills:
- Proven technical architecture experience in highly regulated environments, preferably in financial services.
- Strong understanding of modern delivery platforms: Kubernetes, GitOps (ArgoCD), CI/CD, IaC.
- Experience designing cloud-agnostic architectures and avoiding vendor lock-in.
- Strong grasp of DDD and practical domain segregation.
- Ability to translate governance constraints into workable engineering practices.
- Strong stakeholder management and documentation skills.
Salary (Rate): undetermined
City: London Area
Country: United Kingdom
Working Arrangements: undetermined
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Own the end-to-end technical design for a cloud-agnostic engineering platform with AI-assisted capabilities, aligned to a regulated environment control and DDD domain segregation. You’ll set the reference architecture, guide build decisions, and ensure the solution is operable, secure, and auditable.
What success looks like (outcomes)
- A clear target architecture that teams can implement without interpretation gaps.
- DDD-aligned boundaries: domains are separated, ownership is clear, and integration is deliberate.
- Tooling choices are justified and consistent with governance (SCM/CI/IaC/GitOps/IDP).
- AI capability is introduced safely: scoped permissions, traceability, and human approvals.
Key responsibilities
- Define the platform reference architecture (cloud-agnostic) covering:
- SCM/CI strategy (GitHub vs Bitbucket and implications)
- IaC approach (Terraform/OpenTofu vs Pulumi usage guidelines)
- Kubernetes baseline (multi-cluster, tenancy, networking, secrets)
- GitOps with ArgoCD and promotion strategies
- Container registry strategy and governance
- IDP approach (Backstage/Compass) and operating model
- Drive DDD adoption:
- Domain boundaries, context maps, ownership model, and anti-corruption layers where needed
- Define non-functional requirements and controls:
- Security, resilience, observability, change management, audit evidence, SDLC controls
- Establish architecture governance:
- Decision records, architecture reviews, standards, and cross-team alignment
- Align stakeholders across bank tech, security, risk/compliance, and delivery teams.
- Design the AI-assisted ops capability with guardrails:
- Approved automation patterns (PR creation, suggested changes, safe rollback)
- Risk classification of automated actions
- “Human in the loop” review requirements and traceability to incidents/tickets
Required experience / must-haves
- Proven technical architecture experience in highly regulated environments (financial services strongly preferred).
- Strong understanding of modern delivery platforms: Kubernetes, GitOps (ArgoCD), CI/CD, IaC.
- Experience designing cloud-agnostic architectures and avoiding vendor lock-in.
- Strong grasp of DDD and practical domain segregation (not just theory).
- Ability to translate governance constraints into workable engineering practices.
- Strong stakeholder management and documentation skills (bank audiences, audit audiences).
Nice-to-haves
- Experience implementing Internal Developer Portals (Backstage and/or Compass) at scale.
- Experience with AI/LLM-assisted developer tooling in enterprise contexts (guardrails, controls, model governance, prompt/RAG on runbooks).
- Familiarity with security frameworks and evidence-led delivery practices.