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Enterprise Cloud Consulting

Multi-Cloud Strategy and Architecture That Scales

We help enterprises design, migrate, and operate cloud environments across AWS, Azure, and Google Cloud. From cloud operating model design to Cloud Centre of Excellence setup, our consultants align cloud investment to measurable business outcomes.

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500+
Enterprise Clients
10,000+
Engineers Deployed
50+
Countries Served
99.4%
CSAT Score
48h
Team Assembly

The Challenge

Uncoordinated Cloud Adoption Is Costing Enterprises Millions

Most enterprises arrive at cloud with a fragmented portfolio of accounts, inconsistent security postures, and no shared operating model. Shadow IT proliferates, costs spiral beyond budget, and platform teams struggle to maintain governance across hundreds of accounts with no standard tooling or process.

35%
average cloud spend wasted on idle or oversized resources
60%
of cloud projects delayed by security or compliance gaps
$2.1M
average annual overspend for mid-sized enterprise cloud environments
4x
longer time-to-market without a cloud operating model

Why QuickHire

Why Enterprises Choose QuickHire

01

Hyperscaler-Certified Architects

Our team holds professional and specialty certifications across AWS, Azure, and GCP. Every engagement is led by a principal architect with proven large-scale delivery experience.

02

Operating Model First

We design the cloud operating model - governance, team topology, and tooling - before the first workload moves. This prevents the rework that derails most cloud programmes.

03

FinOps Embedded from Day One

Cost governance is not an afterthought. We implement tagging, budgets, and anomaly detection from the foundation phase so financial accountability is built in.

04

Security by Default

Every landing zone we build includes pre-configured guardrails covering encryption, network isolation, audit logging, and identity controls aligned to your compliance requirements.

05

Proven Migration Methodology

Our 6Rs migration framework has been applied to over 5,000 workloads. Wave-based planning, dependency mapping, and cutover rehearsals ensure predictable, low-risk migrations.

06

Outcome-Driven Governance

We measure success against a balanced scorecard of financial, operational, and business metrics - agreed at engagement start and tracked monthly through executive dashboards.

Challenges

Common Enterprise Pain Points

01

Fragmented Multi-Cloud Governance

Enterprises operating across multiple cloud providers struggle to maintain consistent security baselines, cost visibility, and operational standards. Without a unified governance layer, each cloud account effectively becomes an isolated silo managed by a different team with different tools.

02

Cloud Cost Overruns and Budget Predictability

Cloud spend is variable and often poorly attributed to business units, making budgeting unreliable. Idle resources, oversized instances, and uncontrolled data egress charges compound over time, eroding the financial case for cloud adoption.

03

Talent Gaps in Cloud Engineering

Cloud skills are scarce and expensive. Internal teams often lack the architectural depth to design well-architected environments, leading to technical debt accumulation and rework during the migration programme.

04

Regulatory and Data Residency Complexity

Highly regulated industries face complex data residency, encryption, and audit trail requirements that vary by jurisdiction. Mapping these requirements to cloud service configurations requires both regulatory knowledge and deep cloud expertise.

05

Application Portfolio Complexity

Legacy applications with undocumented dependencies, hard-coded configuration, and monolithic architectures resist straightforward migration. Without thorough discovery and dependency mapping, migrations encounter unexpected failures in production.

Our Approach

A Structured Cloud Consulting Programme From Strategy to Scale

We deliver cloud consulting in clearly defined phases - assessment, foundation, migration, and optimisation - with defined governance checkpoints and measurable outcomes at each stage. Our consultants embed within your organisation, working alongside your teams rather than delivering reports from a distance.

01
Cloud Strategy and Roadmap
Business-aligned cloud strategy with a prioritised 3-year roadmap, workload disposition recommendations, and a total cost of ownership model.
02
Landing Zone and Foundation
Account vending, hub-and-spoke networking, identity federation, security guardrails, and FinOps tooling - built to hyperscaler best practice frameworks.
03
Migration Factory
Wave-based migration execution using automated tooling, dependency mapping, cutover rehearsals, and hypercare support for each migration wave.
04
Cloud Operating Model
Team topology design, CCoE setup, runbooks, RACI matrices, and developer platform tooling that enable your teams to operate cloud at scale independently.

Delivery Models

How We Deliver

Assessment and Roadmap

A fixed-scope engagement delivering a cloud strategy, workload disposition analysis, and prioritised migration roadmap. Ideal for enterprises beginning their cloud journey or restarting a stalled programme.

Timeline
4-6 weeks
Team Size
2-3 architects
Foundation and Migration

End-to-end delivery from landing zone build through wave-based workload migration. Includes operating model design, security baseline implementation, and hypercare support for each wave.

Timeline
6-18 months
Team Size
4-8 engineers
Managed Cloud Operations

Ongoing SLA-backed cloud operations covering monitoring, incident management, patching, FinOps, and security operations. Monthly governance reviews and quarterly architecture reviews included.

Timeline
Ongoing
Team Size
3-6 engineers

Capabilities

Technical Capability Matrix

Cloud Strategy
Multi-cloud strategyCloud operating model designCloud Centre of Excellence setupTCO modellingWorkload disposition analysisCloud roadmap planning
Migration and Modernisation
6Rs migration planningWave-based migration executionAWS MGN / Azure MigrateDependency mappingApplication re-architectureDatabase migration
Platform Engineering
AWS Landing Zone / Control TowerAzure Landing ZonesGoogle Cloud Landing ZoneAccount vending automationHub-and-spoke networkingIdentity federation
FinOps and Cost Governance
Reserved instance strategyRightsizing analysisCost allocation taggingChargeback and showbackAnomaly detectionFinOps maturity assessment
Cloud Security and Compliance
Policy-as-code (AWS Config, Azure Policy)Security guardrailsData residency controlsCSPMCloud audit loggingCompliance mapping

Engagement Models

How We Engage

Choose the model that fits your programme governance, budget cycle, and team structure.

01

Staff Augmentation

Engineers embed directly under your management.

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02

Dedicated Developers

Full-time team aligned to your product roadmap.

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03

Managed Teams

End-to-end delivery with SLA-backed outcomes.

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04

Engineering Pods

Autonomous cross-functional pods per domain.

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05

Offshore Dev Centre

Permanent engineering base in India. Full IP ownership.

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06

Build-Operate-Transfer

We build and run it. You take ownership on schedule.

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Our Process

From Discovery to Delivery

1

Discovery and Assessment

Weeks 1-3

Application portfolio inventory, dependency mapping, infrastructure assessment, and organisational readiness evaluation. Output is a scored workload catalogue and risk register.

2

Strategy and Roadmap

Weeks 4-6

Cloud strategy definition, target architecture design, operating model blueprint, and a wave-based migration roadmap with business case and TCO model.

3

Foundation Build

Weeks 7-10

Landing zone provisioning, network architecture, identity federation, security guardrails, and FinOps tooling deployment. Developer onboarding and team training.

4

Migration Waves

Months 3-12

Iterative wave-based migration execution starting with low-risk workloads. Each wave includes testing, cutover rehearsal, go-live, and a hypercare period before the next wave commences.

5

Optimisation and Handover

Ongoing

FinOps baselining, performance tuning, runbook finalisation, team enablement, and transition to steady-state operations or managed services.

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Security & Compliance

Enterprise-Grade Security by Default

ISO 27001 CertifiedSOC 2 Type II ReadyGDPR CompliantDPDP Act ReadyNDA on Day 1MSA AvailableIP Assignment ClausesEscrow Options

Governance

Programme Governance

Weekly Status Reporting

Programme status, milestone tracking, risk register updates, and financial tracking delivered to project sponsors weekly.

Monthly Steering Committee

Executive-level review of programme progress, budget versus actuals, key decisions, and strategic direction adjustments.

Architecture Decision Records

All significant architectural decisions are documented with context, options considered, decision rationale, and implications for future work.

FinOps Monthly Review

Monthly cloud cost review covering spend by team and service, anomaly analysis, savings realised, and recommendations for the following month.

Security Posture Reviews

Quarterly review of cloud security posture covering compliance drift, new threat landscape items, and guardrail updates to reflect evolving requirements.

Team Structure

Your Enterprise Team

Our cloud consulting engagements are staffed with experienced practitioners who have delivered programmes at scale for Fortune 500 enterprises. Each engagement includes a Principal Architect who owns overall technical direction, supported by specialist engineers and a programme manager.

Principal Cloud Architect
Cloud Security Architect
FinOps Analyst
Platform Engineer
Migration Engineer
Network Architect
Programme Manager
Cloud Operations Engineer

Project Lifecycle

From Kickoff to Production

01
3-4 weeks

Assessment

Application inventory, dependency maps, cloud readiness scores, risk register, and total cost of ownership model.

02
2-3 weeks

Strategy and Design

Cloud strategy document, target architecture diagrams, operating model blueprint, and prioritised migration roadmap.

03
3-4 weeks

Foundation

Deployed landing zone, networking, identity, security guardrails, FinOps tooling, and team onboarding materials.

04
3-12 months

Migration and Modernisation

Migrated workloads per wave, post-migration validation reports, and updated runbooks for each system.

05
Ongoing

Optimisation

Monthly FinOps reports, quarterly architecture reviews, DORA metric dashboards, and updated roadmap.

Case Studies

Enterprise Outcomes

Financial Services

A tier-1 bank needed to migrate 280 workloads from three legacy data centres to AWS while maintaining PCI DSS compliance throughout.

We delivered a 14-month wave-based migration programme using AWS MGN for rehosting and custom refactoring patterns for core banking applications. A CCoE was established in month 2.

40%reduction in total infrastructure cost within 12 months of migration completion
Healthcare

A healthcare network required a multi-cloud strategy spanning Azure for clinical applications and AWS for data analytics, with strict HIPAA and data residency controls.

We designed a hybrid multi-cloud architecture with federated identity, jurisdiction-specific landing zones, and a unified SIEM feeding a shared SOC. Migration completed across 6 waves.

$3.2Min annual cloud cost savings from rightsizing and reserved instance optimisation
Retail

A global retailer needed to modernise its e-commerce platform to support peak traffic 40x normal load during seasonal events without over-provisioning year-round.

We re-architected the platform on Google Cloud using GKE, Cloud Spanner, and Cloud CDN with auto-scaling policies tuned to historical traffic patterns and predictive scaling.

99.99%availability maintained during peak seasonal events post-migration

Start Your Engagement

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Hiring Models

One platform, two ways to hire

Not ready for a long-term commitment? QuickHire Instant lets you book a vetted engineer in 10 minutes - no contracts required.

Both models use the same vetted talent network · PM always included · Multi-country billing

Frequently Asked Questions

Enterprise cloud consulting covers the end-to-end journey from cloud strategy definition to full-scale deployment and ongoing optimisation. Our consultants assess your current application portfolio, infrastructure dependencies, and organisational readiness before recommending a cloud operating model. We design target architectures across AWS, Azure, GCP, or hybrid environments, establish governance frameworks, and align cloud investments to measurable business outcomes. The engagement typically concludes with a prioritised roadmap and, where needed, hands-on implementation support.
Multi-cloud strategy begins with a workload classification exercise that maps each application to the cloud provider best suited to its performance, compliance, and cost profile. We avoid vendor lock-in by designing for cloud-agnostic layers - container orchestration, identity federation, and networking abstractions - while still leveraging provider-specific managed services where they deliver clear value. Our architects define a consistent operating model across clouds using unified observability, security baselines, and FinOps tooling, so your teams manage a coherent environment rather than isolated silos.
A Cloud Centre of Excellence (CCoE) is a cross-functional team that owns cloud governance, standards, and enablement across the enterprise. It typically includes cloud architects, security engineers, FinOps practitioners, and platform engineers who define guardrails, approved service catalogues, and landing zone configurations. For organisations with more than 50 cloud accounts or multiple business units consuming cloud services, a CCoE dramatically reduces shadow IT, cost overruns, and security incidents. We help design the CCoE charter, operating model, and tooling, and can embed experienced practitioners during the initial ramp-up period.
We follow the 6 Rs migration strategy - Rehost, Replatform, Repurchase, Refactor, Retire, and Retain - applying each pattern to workloads based on their business value and technical complexity. The process starts with discovery and dependency mapping, moves through a wave-based migration plan, and uses automated tooling (AWS MGN, Azure Migrate, Google Migrate for Compute) to accelerate lift-and-shift waves. Critical workloads receive bespoke refactoring plans that modernise architecture while minimising risk. Each wave includes cutover rehearsals and rollback procedures.
For a mid-sized enterprise migrating 100-300 workloads, the end-to-end journey typically spans 9-18 months depending on application complexity, regulatory requirements, and organisational change capacity. We structure engagements in phases: a 4-6 week assessment and planning phase, a 2-3 week foundation build (landing zone, networking, identity), followed by migration waves of 8-12 weeks each. Quick wins - dev/test environments and stateless applications - are migrated in early waves to demonstrate value and build team confidence before tackling tier-1 systems.
Cost governance is embedded from day one rather than treated as an afterthought. During migration, we implement tagging policies, budget alerts, and account vending automation so every resource is attributed to a team and cost centre from the moment it is provisioned. Post-migration, our FinOps practice conducts regular rightsizing analysis, reserved instance and savings plan purchases, and anomaly detection reviews. We also establish chargeback or showback reporting so business units have visibility into and accountability for their cloud spend.
Our cloud consultants hold professional and specialty certifications across all three major hyperscalers - AWS Certified Solutions Architect Professional, AWS Certified DevOps Engineer, Google Cloud Professional Cloud Architect, Google Cloud Professional Data Engineer, Microsoft Certified Azure Solutions Architect Expert, and Azure DevOps Engineer Expert. We also hold vendor-neutral certifications including TOGAF for enterprise architecture. Certification levels are matched to engagement complexity, with principal architects assigned to greenfield platform builds and large-scale migrations.
Hybrid cloud integration requires robust connectivity, consistent identity, and unified operations. We design hub-and-spoke or meshed network topologies using AWS Direct Connect, Azure ExpressRoute, or Google Cloud Interconnect, supplemented by SD-WAN where appropriate. Directory services are federated using Azure AD Connect or AWS Directory Service, ensuring single sign-on across on-premises and cloud environments. We deploy hybrid observability stacks that aggregate metrics, logs, and traces from both environments into a single pane of glass using tools such as Datadog, Dynatrace, or native cloud-native observability suites.
A cloud operating model defines how people, processes, and tooling work together to run cloud at scale. It covers account and landing zone structures, organisational unit hierarchies, team topologies (platform engineering, product teams, CCoE), service delivery models, change management and release processes, cost management cadences, and security and compliance operations. We tailor the operating model to your organisational culture - balancing centralised control with developer autonomy - and produce runbooks, RACI matrices, and onboarding guides that enable teams to adopt the new model confidently.
Security is integrated into every phase of cloud adoption through a shift-left approach. We implement AWS Control Tower or Azure Landing Zones with pre-configured security guardrails covering encryption, network isolation, audit logging, and identity controls before the first workload is migrated. Compliance requirements (ISO 27001, SOC 2, PCI DSS, HIPAA) are mapped to cloud service configurations using policy-as-code frameworks such as AWS Config Rules, Azure Policy, and OPA. Continuous compliance dashboards provide real-time posture visibility to security and audit teams.
Yes. For applications where rehosting delivers insufficient value, our architects design cloud-native target architectures using microservices, event-driven patterns, managed databases, and serverless compute. We assess each application for containerisation feasibility, identify bounded contexts for service decomposition, and create detailed technical designs before implementation begins. Development teams are supported throughout by embedded architects who conduct code and architecture reviews, ensuring the refactored application meets performance, resilience, and security standards.
We design cloud disaster recovery architectures using tiered RTO/RPO objectives aligned to business criticality. Tier-1 systems typically use active-active multi-region patterns with automated failover, while tier-2 systems use warm standby configurations. We implement Infrastructure as Code for recovery environments so that entire platform stacks can be recreated in minutes. DR plans are validated through regular game-day exercises that simulate failure scenarios, measure actual recovery times, and identify gaps for continuous improvement.
Success is measured against a balanced scorecard of financial, operational, and business metrics agreed at engagement start. Financial metrics include total cost of cloud ownership versus baseline, FinOps maturity score, and unit economics (cost per transaction, per user). Operational metrics include deployment frequency, change failure rate, mean time to recovery, and system availability. Business metrics cover time-to-market for new product features and developer satisfaction scores. We provide monthly executive dashboards that track these metrics and adjust the programme roadmap accordingly.
Yes. Our managed cloud services practice provides ongoing operations covering infrastructure monitoring, incident management, patch management, cost optimisation, and security operations. Service levels are defined by criticality tier, with tier-1 production environments receiving 24x7 monitoring and sub-15-minute incident response. Managed services engagements include a monthly FinOps review, a quarterly architecture review, and a dedicated site reliability engineering team that continuously improves platform reliability and performance.
A typical cloud consulting engagement includes a Principal Cloud Architect who owns the overall technical vision, a Cloud Security Architect, a FinOps Analyst, and Cloud Engineers (1-3 depending on scope) who handle implementation. For large programmes, we add a Programme Manager, a Change Management Lead, and a Platform Engineering Lead. Team members are embedded within your organisation for day-to-day collaboration while maintaining access to a broader practice of over 200 cloud specialists for peer review and specialist input.
Data residency requirements are captured during the assessment phase and translated into cloud architectural decisions covering storage region selection, replication policies, and cross-border data transfer controls. We configure cloud-native controls such as AWS Data Residency Guardrails, Azure Policy location constraints, and GCP Organisation Policy constraints to enforce residency at the infrastructure level. For regulated industries operating across multiple jurisdictions, we design jurisdiction-specific landing zones with isolated networking and separate compliance reporting perimeters.
We offer three engagement models: a fixed-scope assessment and roadmap (typically 4-6 weeks, fixed fee), a time-and-materials implementation engagement with monthly governance reviews, and a managed services retainer with defined SLAs and a monthly subscription fee. For large programmes, we often combine a fixed assessment phase with a subsequent implementation engagement repriced based on assessment findings. All engagements include weekly status reporting, a dedicated Slack or Teams channel, and a monthly steering committee with senior leadership.
Industries
Financial ServicesHealthcareRetailManufacturingPublic Sector