Job Description
Manager - Cloud Engineering Consulting
About Cloud Engineering at KPMG
The Cloud Engineering team at KPMG drives cloud transformation across Azure, AWS, and GCP by delivering secure, scalable, and automated solutions. The team specializes in infrastructure automation, cloud migrations, data workload modernization, cloud value optimization, and strategic cloud advisory. With deep expertise in DevOps, IaC, and cloud-native services, they enable clients to accelerate innovation and reduce operational complexity. Leveraging KPMG's strategic alliances with major cloud providers, the team ensures tailored cloud strategies that align with business goals, optimize costs, and unlock the full potential of cloud technologies—including AI and automation—for long-term value creation.
The Role
As a Manager - Cloud Engineering, you will lead and deliver high-impact cloud transformation initiatives for KPMG's enterprise clients. This role requires a seasoned professional with 7–12 years of experience who can combine deep technical expertise in Microsoft Azure or Google Cloud Platform (GCP) with strong leadership, client management, and strategic thinking capabilities. You will manage multiple engagements, lead technical teams, drive architectural decisions, and serve as a trusted advisor to C-suite executives on cloud strategy and digital transformation.
This is a critical leadership role as we scale our cloud practice globally and expand our capabilities in AI/GenAI, cloud-native modernization, and enterprise-grade cloud solutions.
Your Key Responsibilities
Leadership & Team Management
- Lead and mentor a team of 5-10 cloud engineers, consultants, and DevOps specialists across multiple client engagements
- Build high-performing teams through recruitment, training, coaching, and career development
- Delegate effectively while maintaining oversight of technical quality and delivery timelines
- Foster a culture of innovation, continuous learning, and technical excellence
Client Engagement & Stakeholder Management
- Serve as the primary point of contact for senior client stakeholders (CIOs, CTOs, VPs of Engineering)
- Lead discovery workshops, requirements gathering sessions, and solution design presentations
- Build and maintain strong, long-term client relationships that drive repeat business and referrals
- Translate complex technical concepts into business value propositions for executive audiences
- Manage client expectations, escalations, and ensure high satisfaction levels
Strategic & Technical Leadership
- Design and architect enterprise-scale cloud solutions across Azure/GCP including hybrid and multi-cloud strategies
- Define cloud adoption roadmaps, migration strategies, and modernization plans for large-scale transformations
- Lead application modernization initiatives including containerization, microservices architecture, and serverless adoption
- Drive cloud cost optimization programs and implement FinOps best practices
- Establish cloud governance frameworks, security standards, and compliance policies
- Evaluate and recommend emerging technologies (AI/ML, GenAI, IoT, edge computing) aligned with business objectives
Technical Delivery & Hands-On Contribution
- Oversee design, development, and deployment of full-stack cloud solutions using Python, FastAPI, ReactJS, Node.js
- Architect and implement cloud-native infrastructure including compute, networking, storage, databases, and security (IAM, VPC, encryption)
- Design and deploy serverless and container-based applications using Cloud Run, Azure Container Services, AKS, GKE, Kubernetes
- Establish enterprise DevOps practices: CI/CD pipelines, GitOps, Infrastructure as Code (Terraform, Bicep, ARM templates)
- Lead implementation of observability and monitoring solutions (Prometheus, Grafana, Azure Monitor, Cloud Operations Suite)
- Champion automation through scripting (Python, Bash, PowerShell) and cloud-native services (Cloud Functions, Azure Functions, Logic Apps)
- Guide teams in implementing AI/ML and GenAI solutions using Vertex AI, Azure OpenAI, and custom ML pipelines
Business Development & Thought Leadership
- Identify and pursue new business opportunities within existing accounts and new prospects
- Contribute to proposal development, solution design, and pricing for cloud transformation engagements
- Participate in pre-sales activities including RFP responses, demos, and POC development
- Represent KPMG at industry events, client forums, and technical conferences
- Contribute to internal knowledge sharing, white papers, and capability development
Program & Delivery Management
- Manage project scope, budget, timelines, and resource allocation across multiple engagements
- Implement agile delivery methodologies and ensure adherence to KPMG delivery standards
- Identify and mitigate risks proactively; escalate critical issues appropriately
- Drive quality assurance, peer reviews, and knowledge transfer practices
Mandatory Qualifications & Skills
Experience
- 7–12 years of progressive experience in cloud engineering, software development, DevOps, or technical consulting
- 3+ years in a leadership or team management capacity
- Proven track record of leading large-scale cloud transformation programs (20+ workloads or $500K+ engagements)
- Demonstrated success in application modernization and rationalization initiatives across multiple industries
Technical Expertise
- Expert-level proficiency in Microsoft Azure or Google Cloud Platform (GCP) with hands-on architecture and implementation experience
- Strong full-stack development capabilities using Python, ReactJS, Node.js, FastAPI, including API design and integration
- Deep understanding of cloud-native architectures microservices, serverless, event-driven design, distributed systems
- Advanced knowledge of DevOps and CI/CD GitHub Actions, GitLab CI, Azure DevOps, Jenkins, ArgoCD
- Proficiency in containerization and orchestration Docker, Kubernetes, AKS, GKE, Helm
- Strong Infrastructure as Code (IaC) experience: Terraform, Bicep, ARM templates, Cloud Deployment Manager
- Solid grasp of cloud security Zero Trust, IAM, encryption, secret management, security scanning
- Advanced automation and scripting Python, Bash, PowerShell for infrastructure and workflow automation
Strategic & Consulting Skills
- Proven ability to design and sell cloud solutions to C-suite executives
- Experience managing client relationships and navigating complex organizational structures
- Track record of business development and contributing to revenue growth
- Strong understanding of cloud economics, FinOps, cost optimization, and TCO/ROI analysis
- Ability to lead discovery workshops and conduct maturity assessments
Soft Skills & Leadership
- Exceptional communication skills (written and verbal) with ability to influence senior stakeholders
- Outstanding interpersonal and relationship-building abilities
- Strong mentoring and coaching capabilities with passion for team development
- Excellent problem-solving and critical thinking skills
- Ability to work in ambiguous, fast-paced environments and drive results
- Growth mindset with entrepreneurial spirit and business acumen
Preferred Qualifications
Certifications
- Cloud Certifications Azure Solutions Architect Expert, GCP Professional Cloud Architect, or AWS Solutions Architect Professional
- Generative AI Certifications Azure AI Engineer, GCP ML Engineer, or equivalent GenAI certification
- Additional Certifications Kubernetes (CKA/CKAD), Terraform Associate, or security certifications (e.g., CISSP, CCSP)
Advanced Technical Skills
- Hands-on experience with Generative AI (GenAI) solutions: prompt engineering, RAG patterns, vector databases, LLM fine-tuning
- Proficiency in AI/ML platforms Vertex AI, Azure Machine Learning, MLOps pipelines, model deployment
- Experience with Azure OpenAI Service or Google Gemini integration in enterprise applications
- Familiarity with advanced monitoring and observability distributed tracing, APM, log analytics, SRE practices
- Experience with multi-cloud and hybrid architectures including Azure Arc, Anthos, or cross-cloud networking
- Knowledge of data engineering on cloud: BigQuery, Synapse, Databricks, data lake architectures
Industry & Domain Experience
- Experience in regulated industries (Financial Services, Healthcare, Government) with compliance knowledge (SOC 2, ISO 27001, HIPAA, FedRAMP)
- Track record in cloud migration at scale (data center exits, legacy modernization)
- Experience with M&A integration or enterprise-wide cloud standardization programs
Manager - Cloud Engineering Consulting
About Cloud Engineering at KPMG
The Cloud Engineering team at KPMG drives cloud transformation across Azure, AWS, and GCP by delivering secure, scalable, and automated solutions. The team specializes in infrastructure automation, cloud migrations, data workload modernization, cloud value optimization, and strategic cloud advisory. With deep expertise in DevOps, IaC, and cloud-native services, they enable clients to accelerate innovation and reduce operational complexity. Leveraging KPMG's strategic alliances with major cloud providers, the team ensures tailored cloud strategies that align with business goals, optimize costs, and unlock the full potential of cloud technologies—including AI and automation—for long-term value creation.
The Role
As a Manager - Cloud Engineering, you will lead and deliver high-impact cloud transformation initiatives for KPMG's enterprise clients. This role requires a seasoned professional with 7–12 years of experience who can combine deep technical expertise in Microsoft Azure or Google Cloud Platform (GCP) with strong leadership, client management, and strategic thinking capabilities. You will manage multiple engagements, lead technical teams, drive architectural decisions, and serve as a trusted advisor to C-suite executives on cloud strategy and digital transformation.
This is a critical leadership role as we scale our cloud practice globally and expand our capabilities in AI/GenAI, cloud-native modernization, and enterprise-grade cloud solutions.
Your Key Responsibilities
Leadership & Team Management
- Lead and mentor a team of 5-10 cloud engineers, consultants, and DevOps specialists across multiple client engagements
- Build high-performing teams through recruitment, training, coaching, and career development
- Delegate effectively while maintaining oversight of technical quality and delivery timelines
- Foster a culture of innovation, continuous learning, and technical excellence
Client Engagement & Stakeholder Management
- Serve as the primary point of contact for senior client stakeholders (CIOs, CTOs, VPs of Engineering)
- Lead discovery workshops, requirements gathering sessions, and solution design presentations
- Build and maintain strong, long-term client relationships that drive repeat business and referrals
- Translate complex technical concepts into business value propositions for executive audiences
- Manage client expectations, escalations, and ensure high satisfaction levels
Strategic & Technical Leadership
- Design and architect enterprise-scale cloud solutions across Azure/GCP including hybrid and multi-cloud strategies
- Define cloud adoption roadmaps, migration strategies, and modernization plans for large-scale transformations
- Lead application modernization initiatives including containerization, microservices architecture, and serverless adoption
- Drive cloud cost optimization programs and implement FinOps best practices
- Establish cloud governance frameworks, security standards, and compliance policies
- Evaluate and recommend emerging technologies (AI/ML, GenAI, IoT, edge computing) aligned with business objectives
Technical Delivery & Hands-On Contribution
- Oversee design, development, and deployment of full-stack cloud solutions using Python, FastAPI, ReactJS, Node.js
- Architect and implement cloud-native infrastructure including compute, networking, storage, databases, and security (IAM, VPC, encryption)
- Design and deploy serverless and container-based applications using Cloud Run, Azure Container Services, AKS, GKE, Kubernetes
- Establish enterprise DevOps practices: CI/CD pipelines, GitOps, Infrastructure as Code (Terraform, Bicep, ARM templates)
- Lead implementation of observability and monitoring solutions (Prometheus, Grafana, Azure Monitor, Cloud Operations Suite)
- Champion automation through scripting (Python, Bash, PowerShell) and cloud-native services (Cloud Functions, Azure Functions, Logic Apps)
- Guide teams in implementing AI/ML and GenAI solutions using Vertex AI, Azure OpenAI, and custom ML pipelines
Business Development & Thought Leadership
- Identify and pursue new business opportunities within existing accounts and new prospects
- Contribute to proposal development, solution design, and pricing for cloud transformation engagements
- Participate in pre-sales activities including RFP responses, demos, and POC development
- Represent KPMG at industry events, client forums, and technical conferences
- Contribute to internal knowledge sharing, white papers, and capability development
Program & Delivery Management
- Manage project scope, budget, timelines, and resource allocation across multiple engagements
- Implement agile delivery methodologies and ensure adherence to KPMG delivery standards
- Identify and mitigate risks proactively; escalate critical issues appropriately
- Drive quality assurance, peer reviews, and knowledge transfer practices
Mandatory Qualifications & Skills
Experience
- 7–12 years of progressive experience in cloud engineering, software development, DevOps, or technical consulting
- 3+ years in a leadership or team management capacity
- Proven track record of leading large-scale cloud transformation programs (20+ workloads or $500K+ engagements)
- Demonstrated success in application modernization and rationalization initiatives across multiple industries
Technical Expertise
- Expert-level proficiency in Microsoft Azure or Google Cloud Platform (GCP) with hands-on architecture and implementation experience
- Strong full-stack development capabilities using Python, ReactJS, Node.js, FastAPI, including API design and integration
- Deep understanding of cloud-native architectures microservices, serverless, event-driven design, distributed systems
- Advanced knowledge of DevOps and CI/CD GitHub Actions, GitLab CI, Azure DevOps, Jenkins, ArgoCD
- Proficiency in containerization and orchestration Docker, Kubernetes, AKS, GKE, Helm
- Strong Infrastructure as Code (IaC) experience: Terraform, Bicep, ARM templates, Cloud Deployment Manager
- Solid grasp of cloud security Zero Trust, IAM, encryption, secret management, security scanning
- Advanced automation and scripting Python, Bash, PowerShell for infrastructure and workflow automation
Strategic & Consulting Skills
- Proven ability to design and sell cloud solutions to C-suite executives
- Experience managing client relationships and navigating complex organizational structures
- Track record of business development and contributing to revenue growth
- Strong understanding of cloud economics, FinOps, cost optimization, and TCO/ROI analysis
- Ability to lead discovery workshops and conduct maturity assessments
Soft Skills & Leadership
- Exceptional communication skills (written and verbal) with ability to influence senior stakeholders
- Outstanding interpersonal and relationship-building abilities
- Strong mentoring and coaching capabilities with passion for team development
- Excellent problem-solving and critical thinking skills
- Ability to work in ambiguous, fast-paced environments and drive results
- Growth mindset with entrepreneurial spirit and business acumen
Preferred Qualifications
Certifications
- Cloud Certifications Azure Solutions Architect Expert, GCP Professional Cloud Architect, or AWS Solutions Architect Professional
- Generative AI Certifications Azure AI Engineer, GCP ML Engineer, or equivalent GenAI certification
- Additional Certifications Kubernetes (CKA/CKAD), Terraform Associate, or security certifications (e.g., CISSP, CCSP)
Advanced Technical Skills
- Hands-on experience with Generative AI (GenAI) solutions: prompt engineering, RAG patterns, vector databases, LLM fine-tuning
- Proficiency in AI/ML platforms Vertex AI, Azure Machine Learning, MLOps pipelines, model deployment
- Experience with Azure OpenAI Service or Google Gemini integration in enterprise applications
- Familiarity with advanced monitoring and observability distributed tracing, APM, log analytics, SRE practices
- Experience with multi-cloud and hybrid architectures including Azure Arc, Anthos, or cross-cloud networking
- Knowledge of data engineering on cloud: BigQuery, Synapse, Databricks, data lake architectures
Industry & Domain Experience
- Experience in regulated industries (Financial Services, Healthcare, Government) with compliance knowledge (SOC 2, ISO 27001, HIPAA, FedRAMP)
- Track record in cloud migration at scale (data center exits, legacy modernization)
- Experience with M&A integration or enterprise-wide cloud standardization programs
Manager - Cloud Engineering Consulting
About Cloud Engineering at KPMG
The Cloud Engineering team at KPMG drives cloud transformation across Azure, AWS, and GCP by delivering secure, scalable, and automated solutions. The team specializes in infrastructure automation, cloud migrations, data workload modernization, cloud value optimization, and strategic cloud advisory. With deep expertise in DevOps, IaC, and cloud-native services, they enable clients to accelerate innovation and reduce operational complexity. Leveraging KPMG's strategic alliances with major cloud providers, the team ensures tailored cloud strategies that align with business goals, optimize costs, and unlock the full potential of cloud technologies—including AI and automation—for long-term value creation.
The Role
As a Manager - Cloud Engineering, you will lead and deliver high-impact cloud transformation initiatives for KPMG's enterprise clients. This role requires a seasoned professional with 7–12 years of experience who can combine deep technical expertise in Microsoft Azure or Google Cloud Platform (GCP) with strong leadership, client management, and strategic thinking capabilities. You will manage multiple engagements, lead technical teams, drive architectural decisions, and serve as a trusted advisor to C-suite executives on cloud strategy and digital transformation.
This is a critical leadership role as we scale our cloud practice globally and expand our capabilities in AI/GenAI, cloud-native modernization, and enterprise-grade cloud solutions.
Your Key Responsibilities
Leadership & Team Management
- Lead and mentor a team of 5-10 cloud engineers, consultants, and DevOps specialists across multiple client engagements
- Build high-performing teams through recruitment, training, coaching, and career development
- Delegate effectively while maintaining oversight of technical quality and delivery timelines
- Foster a culture of innovation, continuous learning, and technical excellence
Client Engagement & Stakeholder Management
- Serve as the primary point of contact for senior client stakeholders (CIOs, CTOs, VPs of Engineering)
- Lead discovery workshops, requirements gathering sessions, and solution design presentations
- Build and maintain strong, long-term client relationships that drive repeat business and referrals
- Translate complex technical concepts into business value propositions for executive audiences
- Manage client expectations, escalations, and ensure high satisfaction levels
Strategic & Technical Leadership
- Design and architect enterprise-scale cloud solutions across Azure/GCP including hybrid and multi-cloud strategies
- Define cloud adoption roadmaps, migration strategies, and modernization plans for large-scale transformations
- Lead application modernization initiatives including containerization, microservices architecture, and serverless adoption
- Drive cloud cost optimization programs and implement FinOps best practices
- Establish cloud governance frameworks, security standards, and compliance policies
- Evaluate and recommend emerging technologies (AI/ML, GenAI, IoT, edge computing) aligned with business objectives
Technical Delivery & Hands-On Contribution
- Oversee design, development, and deployment of full-stack cloud solutions using Python, FastAPI, ReactJS, Node.js
- Architect and implement cloud-native infrastructure including compute, networking, storage, databases, and security (IAM, VPC, encryption)
- Design and deploy serverless and container-based applications using Cloud Run, Azure Container Services, AKS, GKE, Kubernetes
- Establish enterprise DevOps practices: CI/CD pipelines, GitOps, Infrastructure as Code (Terraform, Bicep, ARM templates)
- Lead implementation of observability and monitoring solutions (Prometheus, Grafana, Azure Monitor, Cloud Operations Suite)
- Champion automation through scripting (Python, Bash, PowerShell) and cloud-native services (Cloud Functions, Azure Functions, Logic Apps)
- Guide teams in implementing AI/ML and GenAI solutions using Vertex AI, Azure OpenAI, and custom ML pipelines
Business Development & Thought Leadership
- Identify and pursue new business opportunities within existing accounts and new prospects
- Contribute to proposal development, solution design, and pricing for cloud transformation engagements
- Participate in pre-sales activities including RFP responses, demos, and POC development
- Represent KPMG at industry events, client forums, and technical conferences
- Contribute to internal knowledge sharing, white papers, and capability development
Program & Delivery Management
- Manage project scope, budget, timelines, and resource allocation across multiple engagements
- Implement agile delivery methodologies and ensure adherence to KPMG delivery standards
- Identify and mitigate risks proactively; escalate critical issues appropriately
- Drive quality assurance, peer reviews, and knowledge transfer practices
Mandatory Qualifications & Skills
Experience
- 7–12 years of progressive experience in cloud engineering, software development, DevOps, or technical consulting
- 3+ years in a leadership or team management capacity
- Proven track record of leading large-scale cloud transformation programs (20+ workloads or $500K+ engagements)
- Demonstrated success in application modernization and rationalization initiatives across multiple industries
Technical Expertise
- Expert-level proficiency in Microsoft Azure or Google Cloud Platform (GCP) with hands-on architecture and implementation experience
- Strong full-stack development capabilities using Python, ReactJS, Node.js, FastAPI, including API design and integration
- Deep understanding of cloud-native architectures microservices, serverless, event-driven design, distributed systems
- Advanced knowledge of DevOps and CI/CD GitHub Actions, GitLab CI, Azure DevOps, Jenkins, ArgoCD
- Proficiency in containerization and orchestration Docker, Kubernetes, AKS, GKE, Helm
- Strong Infrastructure as Code (IaC) experience: Terraform, Bicep, ARM templates, Cloud Deployment Manager
- Solid grasp of cloud security Zero Trust, IAM, encryption, secret management, security scanning
- Advanced automation and scripting Python, Bash, PowerShell for infrastructure and workflow automation
Strategic & Consulting Skills
- Proven ability to design and sell cloud solutions to C-suite executives
- Experience managing client relationships and navigating complex organizational structures
- Track record of business development and contributing to revenue growth
- Strong understanding of cloud economics, FinOps, cost optimization, and TCO/ROI analysis
- Ability to lead discovery workshops and conduct maturity assessments
Soft Skills & Leadership
- Exceptional communication skills (written and verbal) with ability to influence senior stakeholders
- Outstanding interpersonal and relationship-building abilities
- Strong mentoring and coaching capabilities with passion for team development
- Excellent problem-solving and critical thinking skills
- Ability to work in ambiguous, fast-paced environments and drive results
- Growth mindset with entrepreneurial spirit and business acumen
Preferred Qualifications
Certifications
- Cloud Certifications Azure Solutions Architect Expert, GCP Professional Cloud Architect, or AWS Solutions Architect Professional
- Generative AI Certifications Azure AI Engineer, GCP ML Engineer, or equivalent GenAI certification
- Additional Certifications Kubernetes (CKA/CKAD), Terraform Associate, or security certifications (e.g., CISSP, CCSP)
Advanced Technical Skills
- Hands-on experience with Generative AI (GenAI) solutions: prompt engineering, RAG patterns, vector databases, LLM fine-tuning
- Proficiency in AI/ML platforms Vertex AI, Azure Machine Learning, MLOps pipelines, model deployment
- Experience with Azure OpenAI Service or Google Gemini integration in enterprise applications
- Familiarity with advanced monitoring and observability distributed tracing, APM, log analytics, SRE practices
- Experience with multi-cloud and hybrid architectures including Azure Arc, Anthos, or cross-cloud networking
- Knowledge of data engineering on cloud: BigQuery, Synapse, Databricks, data lake architectures
Industry & Domain Experience
- Experience in regulated industries (Financial Services, Healthcare, Government) with compliance knowledge (SOC 2, ISO 27001, HIPAA, FedRAMP)
- Track record in cloud migration at scale (data center exits, legacy modernization)
- Experience with M&A integration or enterprise-wide cloud standardization programs
