> Markdown version of [/jobs/ext/4552924-lead-software-engineer-sc-cleared](https://www.wearedevelopers.com/jobs/ext/4552924-lead-software-engineer-sc-cleared). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Lead Software Engineer (SC Cleared)

- **Company:** Synergize Consulting Ltd
- **Location:** London, UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Cyber Security, Identity and Access Management, Python (Programming Language), Node.Js, Search Technologies, Secure Coding, Software Engineering, Systems Integration, TypeScript, Large Language Models, Model Validation, Generative AI, Agentic-AI, Cloudflare, Model Context Protocol, Programming Languages
- **Published:** November 4, 2026
- **Apply:** https://www.careerboard.com/gb/en/find-jobs-in-United-Kingdom/-FE90E973A5C2342F9A/

## About the Role

* Proven experience leading engineering teams and managing software delivery, including selecting appropriate development methods and working with senior technical and delivery colleagues.
 * Experience of line management, coaching and developing engineers, managing performance and supporting continuing professional development.
 * Experience of recruitment and workforce management, including onboarding and offboarding, maintaining skills matrices and developing workforce plans.
 * Strong software design experience, including reviewing technical documentation, providing technical approvals and undertaking engineering assurance.
 * Hands-on software development experience using a modern programming language such as Python, TypeScript/Node.js, Java or Go.
 * Experience designing and developing secure APIs, integrations and Back End services.
 * Practical experience building AI-enabled applications, platforms or services, with an understanding of LLM integration and evaluation.
 * Experience delivering solutions using AWS or a comparable public cloud environment
 * Cloudflare AI Gateway or comparable LLM gateway and control-plane technologies.
 * AWS Bedrock and integrating multiple foundation model providers.
 * Building AI agents, tool-using systems, Model Context Protocol (MCP) integrations or multi-step agentic workflows.
 * Retrieval-Augmented Generation (RAG), embeddings, vector search and enterprise knowledge integration.
 * Due to the nature of the client, it would be an advantage for candidates to hold, or be eligible and willing to undergo, a certain level of security clearance (SC).

## Description

* Lead and coordinate the activities of the specific engineering team, ensuring effective delivery and adherence to appropriate engineering methods and standards.
 * Provide technical leadership and guidance, supporting software design and making hands-on contributions to development when required.
 * Line manage, coach and develop engineers, supporting their continuing professional development, performance management and career progression.
 * Lead recruitment activities and oversee the onboarding and offboarding of technical staff.
 * Maintain team skills matrices, professional role descriptions and workforce plans to support capability development and future resource requirements.
 * Review technical designs and documentation, providing technical approvals and undertaking engineering assurance within your area of responsibility.
 * Promote high standards of software engineering, quality management, testing and secure development practices.
 * Support the development of AI-enabled applications and services, including large language model (LLM) integration, model evaluation, identity and access management, agentic tooling and observability.
 * Work collaboratively with architecture, cyber security, FinOps and platform teams to ensure services are secure, scalable, resilient and supportable.
 * Support live-service assurance, operational activities and incident response when required.
 * Encourage innovation, knowledge sharing and continuous improvement across the engineering team.