Recruiter: Sowmya Reddy

Hiring Manager: Tanmoy Sen

Career Grade: E

About the role

The Software Engineer Professional is a hands‑on software engineer who delivers high‑quality software as part of a small, outcome‑focused pod of typically 4–5 engineers. The role operates in an AI‑native delivery model, where AI tools and agents are used across the software development lifecycle (SDLC) to accelerate delivery, improve quality, and reduce manual effort.

Unlike traditional engineering roles, the Pod Engineer is expected to work with AI as a core delivery partner, using AI tools for requirements understanding, design exploration, code generation, testing, documentation, and optimisation—while remaining accountable for correctness, security, and production readiness.

What you’ll be doing

1) Hands‑On Software Delivery

• Design, build, test, and deploy software components as part of a delivery pod.
• Contribute production‑quality code across backend, frontend, APIs, or integration layers, depending on the pod’s scope.
• Own features end‑to‑end—from understanding requirements through to deployment and support.

2) AI‑Enabled SDLC Execution

• Use AI tools and assistants across delivery stages to:
• Accelerate understanding of requirements and acceptance criteria
• Generate and refine code safely
• Create and maintain automated tests
• Support documentation and release artefacts
• Apply judgment to validate AI‑generated outputs, ensuring correctness, maintainability, and security.
• Continuously improve personal and pod‑level productivity through effective AI usage.

3) Engineering Quality & Standards

• Write clean, maintainable, well‑tested code aligned to agreed engineering standards.
• Participate actively in code reviews, pair programming, and design discussions.
• Follow secure coding practices and ensure solutions meet performance, reliability, and resilience expectations.

4) Pod Collaboration

• Work closely with the Pod Lead Engineer and other Pod Engineers to deliver outcomes as a cohesive unit.
• Contribute to daily planning, reviews, and retrospectives.
• Support knowledge sharing, experimentation, and continuous improvement within the pod.

5) Learning & Capability Development

• Continuously develop skills in modern software engineering and AI‑assisted development techniques.
• Adopt and share good practices for prompt design, AI evaluation, and safe AI usage.
• Stay current with emerging tools, frameworks, and patterns relevant to AI‑enabled engineering.

6) Governance, Risk & Responsible Engineering

• Adhere to security, data protection, and governance requirements.
• Flag risks, defects, or concerns early—especially those introduced by AI‑assisted development.
• Ensure delivery artefacts are complete, auditable, and fit for production use.
• What Makes This Role Different from a Traditional Software Engineer
• You work in small, high‑impact pods, not large project teams.
• AI is used by default across the SDLC, not occasionally.
• Success is measured by outcomes, quality, and speed, not just code output.
• You are expected to think critically about AI outputs, not blindly accept them.

Essential Skills / Experience

• Strong experience as a software engineer delivering production systems.
• Solid foundations in software engineering fundamentals: data structures, APIs, testing, CI/CD, and debugging.
• Proven expertise in Java, Python along with UI and backend technologies like React, PostgreSQL, Neptune DB.
• Strong credentials in Cloud environments like AWS.
• Experience working in Agile / iterative delivery environments.
• Practical exposure to AI‑assisted development tools (e.g. Copilot, Amazon Kiro, Claude Code, automated testing, AI‑supported documentation).
• Possess B. Tech or B.E. degree in Computer Science or related field.

Desirable Skills / Experience

• Experience working in small squads or pods with shared ownership of outcomes.
• Familiarity with cloud platforms and modern delivery pipelines.
• Curiosity and enthusiasm for using AI to improve how software is built.

Success Measures (What Good Looks Like)

• High‑quality features delivered on time as part of a dev team.
• Effective and responsible use of AI to improve productivity and quality.
• Clean, well‑tested, and maintainable code in production.
• Positive contribution to pod collaboration, learning, and continuous improvement.
• Growing proficiency in AI‑native engineering practices.

BT 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 '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.