Principal Forward Deployed Engineer - DV Cleared

VIQU Limited; City Of London; Hybrid; GBP 129,000 - 185,000; Full time

Job summary

Morela is proud to support a fast-growing UK AI company building sovereign AI for defence and government. The role focuses on deploying, integrating and accrediting a GCP-native platform across environments—from Kubernetes/OpenShift to air-gapped networks—while engaging senior MOD stakeholders.

The candidate will own the technical relationship with defence customers, driving delivery end-to-end and contributing code where needed, with a pragmatic high-ownership mindset.

Qualifications

• Active DV clearance.
• Hands-on in architecting and scaling complex products.
• Strong GCP, Terraform, Docker and Kubernetes experience.

Responsibilities

• Lead technical workshops and discussions with MOD, engineering and security stakeholders.
• Own delivery end-to-end from requirements to deployment and handover.
• Adapt GCP architecture to customer infrastructures including air-gapped environments.
• Integrate platform with customer data sources and APIs.
• Own test strategy and accreditation documentation.
• Lead technical assurance including architecture reviews and threat modelling.
• Write production code when needed and relay field insights to engineering.

Skills

GCP

Terraform

GitLab CI/CD

Docker

Kubernetes

OpenShift

TypeScript

Node.js

React

Next.js

PostgreSQL

Security engineering

Accreditation documentation

Stakeholder engagement

Job description

Principal Forward Deployed Engineer
Contract | Outside IR35 | London, Hybrid | DV Cleared
This is a contract role, 6 months with a view to extend, Outside IR35, with the day rate to be confirmed. It is hybrid, with 2 to 3 days a week on site in London plus travel to customer sites, requires active DV clearance, and starts ASAP.

About the Client

Morela is proud to be supporting a fast-growing, venture-backed UK AI company building sovereign AI for defence, government and other highly regulated sectors. Their core product is an AI operating system built for secure, air-gapped environments. The client's identity will be shared on introduction.

The Role

You will own the technical relationship with the client's defence and government customers, taking a GCP-native product and getting it deployed, integrated, tested and accredited in whatever environment the customer runs, from Kubernetes and OpenShift to bare metal and air-gapped networks. From the first workshop with a security authority through to acceptance and handover, it's yours. It suits a former technical founder or Principal Engineer who still writes code and is comfortable working independently with senior MOD stakeholders.

Responsibilities

• Lead technical workshops, demos and discussions with senior MOD, engineering and security stakeholders
• Own delivery end to end, from requirements and planning through deployment, troubleshooting and handover
• Adapt the platform's GCP architecture to each customer's infrastructure, including restricted and air-gapped environments
• Integrate the platform with customer data sources, APIs and systems
• Own test strategy, acceptance and the technical documentation customers and accreditors need
• Lead technical assurance, including architecture reviews, threat modelling and accreditation support
• Write production code where delivery needs it and feed field insight back to engineering

Essential Requirements

• Active DV clearance
• Has personally architected, built and scaled complex products from scratch, and is still hands-on
• Strong GCP (Cloud Run, Cloud SQL, IAM, networking, Workload Identity Federation)
• Terraform, GitLab CI/CD, Docker and container orchestration
• Deploying across Kubernetes, OpenShift, VMs, bare metal, on-premises and sovereign cloud
• Full stack: TypeScript, Node.js, React, Next.js, PostgreSQL
• Security engineering, test strategy and accreditation-grade documentation
• Confident leading technical engagements with senior stakeholders, with a pragmatic, high-ownership delivery mindset

Desirable Experience

• MOD or defence delivery, including air-gapped or classified environments
• Familiarity with MOD standards, information assurance and accreditation
• AI/LLM engineering, including agentic workflows and evaluation
• Data engineering and integration with complex customer data
• AWS or Azure, GPU workloads or on-premise model serving

Working Environment

Some work takes place in secure facilities without personal devices or internet access. You will be part of a small, senior team working at the front line of sovereign AI in defence.