SC Cleared Lead Software Developer

Fortice Ltd; United States; Remote; GBP 90,000 - 130,000; Full time

Job summary

Fortice Ltd. seeks a Lead Software Developer to drive AI platform development from a remote location. The role focuses on building scalable, secure AI environments and tooling to accelerate experimentation and delivery.

You will evaluate new tooling, design APIs and orchestration, and support deployment, monitoring and governance across cloud services.

Qualifications

• Experience with AI platforms and cloud infrastructure.
• Familiar with AWS Bedrock, Microsoft Foundry and Azure AI services.
• Knowledge of DevOps, CI/CD and IaC practices.
• Focus on cost optimisation and secure, observable systems.

Responsibilities

• Design and implement AI development and experimentation environments.
• Evaluate AI tooling, frameworks and platforms.
• Build integration services, APIs and orchestration capabilities.
• Support deployment, monitoring and operational readiness activities.
• Assess tooling costs, licensing impacts and infrastructure requirements.
• Develop reusable accelerators and reference implementations.
• Implement security controls, monitoring and operational guardrails.
• Provide technical guidance to multidisciplinary teams.

Skills

AI platforms AWS Bedrock

Microsoft Foundry

Azure AI services

APIs and orchestration frameworks

DevOps CI/CD

Infrastructure-as-Code

Cost optimisation & cloud cost mgmt

Security, monitoring & guardrails

Integration & automation

Job description

Lead Software Developer

Clearance required: BPSS + SC

Interview process: Tech IV

Location: Remote

IR35 Status: PAYE via Umbrella company only

Job Description:

Role Summary

The AI Platform & Tooling Engineer develops, evaluates and optimises the platforms, tools and technical foundations required to accelerate AI delivery. The role enables rapid experimentation while ensuring scalability, security, resilience and cost-effective adoption of AI technologies.

Key Responsibilities

• Design and implement AI development and experimentation environments.
• Evaluate emerging AI tooling, frameworks and technology platforms.
• Build integration services, APIs and orchestration capabilities.
• Support deployment, monitoring and operational readiness activities.
• Assess tooling costs, licensing impacts and infrastructure requirements.
• Develop reusable accelerators, technical assets and reference implementations.
• Implement security controls, monitoring and operational guardrails.
• Support continuous improvement and optimisation of AI platforms.
• Provide technical guidance to multidisciplinary teams.

Required Technical Competencies

• Software engineering and cloud infrastructure expertise.
• Experience with AI platforms AWS Bedrock and Microsoft Foundry, APIs and orchestration frameworks.
• Knowledge of Azure AI services and cloud-native architectures.
• DevOps, CI/CD and Infrastructure-as-Code practices.
• Cost optimisation and cloud consumption management.
• Security, monitoring and operational support principles.
• Integration and automation technologies.

Aptitudes/Personal Attributes

• Strong technical curiosity and innovation mindset.
• Pragmatic approach to balancing risk, cost and capability.
• Adaptable and responsive to emerging technologies.
• Collaborative and supportive team player.
• Strong ownership and delivery focus.
• Comfortable working with uncertain or incomplete requirements.