Pod Lead Engineer (AI‑Native Software Engineering Specialist)

BT Group; Bengaluru; In loco; INR 2.500.000 - 4.500.000; Tempo pieno

Descrizione del lavoro

BT Group in Bengaluru is seeking a senior software engineer / technical lead to guide a small pod of engineers through AI‑driven software delivery. You will own design, code, reviews and integration while ensuring rapid, reliable releases.

The role emphasizes hands‑on contribution with strong skills in Java/Python, React/Flutter, AWS, CI/CD, and secure coding practices. You will drive AI‑native tooling across the SDLC and collaborate with business partners for clear outcomes.

Competenze

• Senior software engineer/tech lead with hands-on delivery accountability.
• Experience leading small pods or squads in modern SDLC environments.
• Proficient in building scalable backend services and frontend work.
• Strong focus on AI-assisted development, testing, and governance.

Mansioni

• Lead delivery for a pod of 4–5 engineers by building software with the team and owning design, code, reviews, and integration.
• Break down outcomes into increments and drive execution with CI/CD, automated testing, and code quality gates.
• Ensure the pod delivers working software frequently with clear DoD and measurable progress.
• Embed AI tools across the delivery stages to accelerate exploration, generate and refactor code, create unit tests, and document work.
• Set pod‑level patterns to maximise productivity while keeping human accountability for release readiness.
• Maintain gate practices with quality checks and approvals aligned to enterprise standards.
• Act as the pod’s technical authority for architecture decisions, patterns, and integration approaches.
• Provide day‑to‑day leadership for 4–5 engineers including task allocation, coaching in AI‑native ways, and continuous improvement.
• Align with Senior Manager, AI Engineering and business partners to clarify outcomes, scope, milestones and risks.

Conoscenze

Java

Python

React

Flutter

AWS

CI/CD

API design

Data modelling

Security practices

AI tooling

Strumenti

PostgreSQL

Neptune DB

Copilot

Amazon Kiro

Claude Code

Descrizione del lavoro

What you will be doing (Role Accountabilities)

• Lead delivery for a pod (4–5 engineers) by building software alongside the team—owning design, code, reviews, and integration.
• Break down outcomes into small, deliverable increments and drive execution through modern engineering practices (CI/CD, automated testing, code quality gates).
• Ensure the pod delivers working software frequently, with clear definition of done and measurable progress.
• Embed AI tools and techniques across delivery stages (requirements, design, build, test, deploy, operate), using AI to:
• accelerate solution exploration and design options
• generate and refactor code safely
• create unit tests and automation
• perform code review support and documentation
• Set pod‑level working patterns that maximise productivity while ensuring human accountability for final decisions and release readiness.
• Maintain “gate” practices where needed (e.g., quality checks, approvals), consistent with the organizational standards.

3) Technical Direction & Engineering Quality

• Act as the pod’s technical authority: architecture decisions (within guardrails), patterns, component design, and integration approach.
• Own code quality, maintainability, performance, reliability, and security posture for the pod’s deliverables.
• Establish engineering standards inside the pod (branching, coding conventions, review practices, test expectations, CI/CD hygiene).

4) Pod Management (Small Team Leadership)

• Provide day‑to‑day leadership for 4–5 Pod Engineers: task allocation, pairing strategy, unblockers, and prioritisation.
• Coach engineers in AI‑native ways of working, including good prompting habits, evaluation discipline, and safe use of AI tooling.
• Drive continuous improvement: retrospective actions, root cause analysis, and measurable cycle‑time / quality improvements.

5) Stakeholder Alignment & Outcome Ownership

• Work closely with the Senior Manager, AI Engineering and business/product partners to clarify outcomes, scope, constraints, and acceptance criteria.
• Translate business needs into technical work with clear milestones and demonstrable increments.
• Provide transparent progress updates, risks, dependencies, and mitigation actions.

6) Governance, Risk, and Responsible Engineering

• Ensure delivery adheres to security, data protection, and engineering governance expectations.
• Proactively manage risks introduced by AI‑assisted development (e.g., licensing concerns, security vulnerabilities, hallucinated code, weak tests).
• Maintain auditable artefacts where required (documentation, traceability, approvals), aligning to enterprise expectations for controlled delivery.

What Makes This Role Different from a Traditional Tech Lead

• You lead a small pod (4–5 engineers) rather than a large team.
• You are expected to be hands‑on and contribute to the codebase of the pod. Become accountable for delivery outcomes and not primarily people management.
• You use AI as a core delivery engine across SDLC, not as an occasional productivity add‑on.
• Strong experience as a senior software engineer / technical lead / engineering specialist delivering production systems.
• Solid engineering fundamentals: API design (REST), data modelling, testing strategy, CI/CD, secure coding, reliability practices.
• Proven expertise in Java or Python along with UI and backend technologies like React, Flutter, PostgreSQL, Neptune DB.
• Strong credentials in Cloud environments like AWS.
• Proven experience leading small delivery groups (e.g., squad/pod/team) and delivering iteratively.
• Practical experience using AI development tools (Copilot, Amazon Kiro, Claude Code, agent workflows, automated test generation, AI‑assisted documentation).
• Experience working in AI‑assisted / agentic delivery models or rapid delivery “pods” / cohort models.
• Familiarity with governance practices that support quality and assurance in delivery environments (e.g., gate reviews, readiness checks).