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AI-Native Systems Architect / Systems Engineering Lead (Cloud & Distributed Systems)

Confidential · United Kingdom · Hybrid · Senior

  • United Kingdom · Hybrid

Indexed (5 days ago) · refreshed constantly

Start
flexible
Work mode
Hybrid
Contract
Freelance / B2B
Seniority
Senior
Reference
TRCI-26-06212

Required skills

Job description

Contract role in London for a hands-on systems architect/systems engineering lead to own end-to-end architecture for AI-native, cloud-native, data-intensive distributed systems. The role focuses on specification-first engineering (clear acceptance criteria and NFRs), designing secure/resilient architectures across APIs, event-driven systems and data pipeline

Project overview

Contract role in London for a hands-on systems architect/systems engineering lead to own end-to-end architecture for AI-native, cloud-native, data-intensive distributed systems. The role focuses on specification-first engineering (clear acceptance criteria and NFRs), designing secure/resilient architectures across APIs, event-driven systems and data pipelines, and setting standards/guardrails for AI-assisted delivery.

Strong AWS cloud architecture, CI/CD and IaC, observability, security controls, and production readiness are required, along with solid CS fundamentals and proficiency in a systems language (Go/Rust/C/C++/Java).

Responsibilities

  • Agree to the processing of your personal information for the purposes of this recruitment process.
  • Consent to the retention of your data on file for a period of 12 months for consideration in future roles.

Requirements

  • Software architecture and systems engineering (end-to-end architecture ownership)
  • Distributed systems design (scalability, resilience, security)
  • Specification-first engineering (deterministic specs, acceptance criteria, NFRs)
  • AI-assisted engineering tools / coding agents (use, orchestration, validation/governance of outputs)
  • Cloud architecture experience (preferably AWS) including security, observability, deployment and cost considerations
  • CI/CD and production support/operational models
  • Infrastructure as Code (IaC)
  • Observability patterns (logging/metrics/tracing) and operational controls
  • Secure-by-design and quality governance (test-first, compliant engineering practices)
  • Strong CS fundamentals (algorithms, data structures, concurrency, OS, networking, APIs, performance trade-offs)
  • Programming in at least one system-oriented/strongly engineered language (Go, Rust, C/C++, Java or equivalent)
  • Ability to work directly with users/stakeholders to clarify requirements and ensure outcomes match needs
  • Architecture/design leadership (resolve trade-offs, guide teams through ambiguity)
  • Production readiness assurance (functional, security, performance, resilience, operational acceptance)

Project details

  • Start: flexible
  • Remote: hybrid
  • Location: United Kingdom, GB

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