Software Engineering Professional

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The Software Engineering Professional supports the execution of BTs software engineering strategy through cross-functional delivery, contributing to the development of technical solutions and platforms that enable innovation and engineering excellence.

• 2+ years’ experience in software engineering using Java, Python, or similar, delivering 

production-ready code.

• Strong capability across design, solutioning, development, and unit testing, with a focus on quality, 

scalability, and maintainability.

• Proven experience delivering error-free code with full unit test coverage and performing wider 

impact analysis before implementation.

1. ServiceNow & AI-Enabled Engineering 

• Hands-on experience developing on ServiceNow (preferred) or similar enterprise platforms. 
• Experience integrating AI capabilities (LLMs, AI agents, RAG patterns) into platforms using APIs and 

event-driven patterns.

• Exposure to ServiceNow Now Assist, Copilot Studio, KIRO or equivalent AI-enabled tooling is 

desirable.

1. AI-Assisted Development & Automation 

• Practical experience using AI tools and copilots to accelerate development, testing, documentation, 

and code reviews.

• Ability to embed AI into engineering workflows to improve productivity and time to market. 
• Strong mindset for automation-first development and deployment

1. DevOps, Environments & Operability 

• Good understanding of DevOps practices, CI/CD pipelines, and infrastructure as code. 
• Experience working across multi-environment setups (Dev / Test / Prod) with controlled promotion 

paths.

• Familiarity with containerisation (Docker) and orchestration concepts (Kubernetes – desirable). 
• Ability to analyse and resolve production issues, driving stability and continuous improvement.

• Strong understanding of enterprise security, privacy, and compliance requirements. 
• Experience applying responsible AI practices, including data handling, prompt safety, and auditability. 
• Ability to balance speed of delivery with governance and control.

1. Professional Capability & Collaboration 

• Ability to work independently with accountability in a fast-paced delivery environment. 
• Strong collaboration skills with product owners, platform teams, and operations. 
• Willingness to share innovation ideas, contribute to reusable assets, and act as an advocate for 

AI-driven PDLC.

BT Group is the UK’s leading communications group and the holding company behind some of the country’s most recognised brands – including BT, EE, Openreach and Plusnet. Our purpose is as simple as it is ambitious: we connect for good. Our customers include consumers, small, medium and large businesses, public sector organisations and other communications providers.

BT Group’s role is about setting direction, unlocking value and creating the conditions for our brands and businesses to thrive.

Having come through the most capital-intensive phase of our fibre investment, our focus now is on what comes next – simplifying how we operate, using technology and AI to work smarter, and organising ourselves to serve customers better and grow sustainably. Group teams shape strategy, policy, brand, capital allocation and transformation, helping the whole organisation perform at its best.

We have a singular culture that unites all our people: we are customer-first challengers, who are committed, clear and connected. These behaviours unite us as one team to deliver for our colleagues, our customers, our stakeholders and the country. Joining BT Group means working at the heart of a business that matters to the UK, with the opportunity to shape decisions, influence outcomes and help set the future course of one of the country’s most important companies.

1. AI-Driven Product Development (PDLC) 

• AI-driven product development across the full Product Development Lifecycle (PDLC), including 

design, solutioning, development, and unit testing, with an AI-first mindset.

• Design and deliver high-quality, production-ready solutions, producing clear designs, robust 

solutions, and error-free code with 100%-unit test coverage.

• Perform wider impact analysis before design and development to ensure new requirements are 

scalable, secure, cost-efficient, and aligned to platform and architectural standards.

• Work independently with accountability while delivering end-to-end outcomes aligned to colleague 

experience and business priorities.

1. AI-Enabled ServiceNow Engineering 

• Integrate AI capabilities into the ServiceNow platform to support AI-assisted design, development, 

build, and deployment of colleague experience solutions.

• Deliver enhancements and new capabilities that improve ServiceNow functionality, usability, and 

automation at scale.

• Contribute innovation ideas that drive IT transformation, improve platform capabilities, and enhance 

colleague experience.

1. Production Support & Continuous Improvement 

• Analyse production issues, identify root causes, and deliver timely fixes, improvements, and 

enhancements to ensure service stability and reliability.

• Continuously identify opportunities to improve product quality, delivery speed, automation, and 

colleague experience outcomes.

• Ensure solutions remain stable, maintainable, and operationally efficient across their lifecycle.

1. AI-Assisted Engineering & Automation 

• Leverage AI and automation to streamline development, testing, and deployment processes, reducing 

manual effort and accelerating time to market.

• Embed AI into engineering ways of working, ensuring consistent and effective use of AI tools across 

development, testing, documentation, and code quality practices.

• Continuously assess emerging AI engineering tools, frameworks, and patterns, recommending 

adoption where they improve productivity, quality, or cost efficiency.

1. Governance, Security & Responsible AI 

• Ensure solutions are secure, compliant, and well-governed across development, test, and production 

environments.

• Set and promote standards for secure and responsible AI usage, including prompt safety, data 

handling, auditability, and risk controls.

• Contribute to AI governance frameworks and guardrails, supporting lifecycle controls, approvals, and 

risk management without slowing delivery.

• Collaborate closely with architecture, security, legal, and compliance teams to meet enterprise 

security, privacy, and regulatory requirements.

1. Leadership, Advocacy & Collaboration 

• Act as an anchor and advocate for AI-driven PDLC, modern engineering practices, and 

automation-led delivery.

• Provide technical mentoring on AI-assisted engineering, DevOps, and modern development practices. 
• Create and maintain reusable assets, reference implementations, and internal standards to 

accelerate adoption of AI-driven engineering.

• Act as a trusted engineering partner to product owners, platform teams, operations, and stakeholders 

to shape scalable and sustainable AI use cases.