Cloud Engineering Manager

Job Description

Recruiter: Mounika Nagabhiru

Hiring Manager: Abhinav Kunal

Career Grade: D

Internal Closing Date: 25- May-2026

About the role

We are looking for an AI Factory Engineering Manager to lead the engineering delivery of AI agents, connectors, and cloud-native platform capabilities across enterprise SaaS platforms and legacy systems. The role is liable for end-to-end engineering execution, including architecture/design oversight, build and deployment, cloud automation, DevOps/IaC enablement, reliability/SLAs, security & compliance, and continuous improvement.

You will lead a blended team (FTE + subcontractors) and drive adoption of AI-assisted engineering using tools such as Microsoft Copilot, Kiro, and other AI frameworks to accelerate delivery while ensuring robust controls for performance, scalability, security, maintainability, reusability, and reliability.

This role partners closely with architecture, security, compliance, product owners, platform teams, and business stakeholders to deliver production-grade agents and integrations that measurably improve productivity and experience.

What you’ll be doing

AI Engineering & Cloud Delivery – Consolidated Responsibilities
1. Delivery & Engineering Execution
Own end-to-end delivery of AI solutions (agents, workflows, connectors) ensuring quality, scalability, and predictable releases. Build capabilities across automation, insights, knowledge retrieval, and system integrations (SaaS & legacy).
2. Architecture & Cloud Design Oversight
Provide architectural leadership ensuring performance, security, scalability, and reliability. Define and enforce patterns for APIs, integrations, identity, data security, and observability.
3. Automation, DevOps & IaC
Drive Infrastructure-as-Code, CI/CD maturity, and deployment automation (blue/green, canary). Enable self-service provisioning and ensure consistent, repeatable environments.
4. SLA/SLO, Metrics & Governance
Ensure adherence to SLAs, engineering metrics, and operational standards (availability, MTTR, quality, cost). Maintain governance through documentation, runbooks, and release controls.
5. Stakeholder Engagement & Enablement
Translate business needs into delivery plans and promote cloud-native adoption via training, reusable assets, and engineering best practices.
6. Security, Risk & Compliance
Embed secure-by-design principles including IAM, encryption, secret management, and auditability. Maintain a strong risk-aware engineering culture.
7. Vulnerability & Incident Management
Drive proactive security practices (SAST/DAST, scanning, patching) and lead incident resolution, RCA

Essential Skills / Experience

8–12+ years of software engineering experience with 3–5+ years in engineering leadership (tech lead / manager / engineering manager).

Strong cloud engineering experience (Azure/AWS/GCP; hybrid is acceptable):

microservices, containers (Docker/Kubernetes), platform services

Expertise in DevOps/IaC:

CI/CD, infrastructure automation, config management, release governance, autoscaling

Strong integration engineering capabilities:

REST/GraphQL APIs, event-driven architectures, messaging patterns

identity and auth patterns (OAuth2, SSO, JWT), secrets management

Proven experience running production systems:

monitoring, telemetry, incident response, capacity planning

Experience managing blended teams:

subcontractor/vendor delivery governance, onboarding, performance controls

Desirable Skills / Experience

Preferred / Good-to-Have

Hands-on experience with:

Microsoft Copilot ecosystem (M365 Copilot, Copilot Studio) and/or GitHub Copilot

Kiro or similar AI-assisted engineering/orchestration tools

agent orchestration frameworks (e.g., Semantic Kernel-style patterns)

Knowledge of agent engineering patterns:

grounding/RAG, evaluation frameworks, feedback loops, safety/guardrails

Enterprise platform integration experience:

ServiceNow, M365 ecosystem, HR/CRM tools, enterprise identity

Familiarity with:

policy-as-code, auditability patterns, regulated environment delivery standards

Core Competencies

Strong ownership and accountability mindset

Ability to balance speed with safety/quality/compliance

Structured planning and execution; proactive risk management

Strong communication across technical and business stakeholders

Coaching mindset; builds capability and scales teams effectively

Key Interfaces / Stakeholders

AI Product Owners & Business Sponsors

AI Platform / Cloud Platform Engineering

Enterprise Architecture

Security, Risk, Privacy & Compliance

Data Platforms / Analytics

SaaS Platform Owners (ServiceNow, M365, HR/CRM systems)

Vendor/Subcontractor Partners

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.