Skip to main content
QuickHire

Notifications

You're all caught up

New updates, payments, and messages will land here as soon as they arrive.

AWS Cloud Consulting

AWS Cloud Consulting and Architecture for Enterprise Workloads

From AWS Landing Zone and Well-Architected Reviews to EKS, SageMaker, and 6 Rs migration, our senior AWS architects design, build, and operate cloud platforms that reduce risk, accelerate delivery, and cut infrastructure spend by 25 to 40 percent.

ISO 27001SOC 2 ReadyNDA Day 1MSA AvailableIP Protection

Get Matched in 10 Minutes

Fill in the details PM calls you back to confirm.

No spam. PM calls within 10 minutes during business hours.

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

The Challenge

Enterprise AWS environments accumulate technical debt, cost overruns, and security gaps faster than internal teams can address them

Most enterprises underestimate the operational complexity of running AWS at scale. Without disciplined architecture governance, multi-account environments devolve into shadow infrastructure, untagged resources, and unreviewable IAM policies that expose the organisation to breaches and audit failures - while cloud bills climb 20 to 30 percent year over year with diminishing returns.

38%
average cloud spend wasted on idle or over-provisioned resources
60%
of cloud security incidents trace to misconfigured IAM or S3 policies
$2.4M
average cost of a cloud data breach for mid-market enterprises
3x
longer time-to-production without automated AWS Landing Zone governance

Why QuickHire

Why Enterprises Choose QuickHire

01

AWS Advanced Partner Expertise

Our architects hold AWS Professional and Specialty certifications across Solutions Architecture, DevOps, Security, and Machine Learning. Every engagement is staffed with practitioners who have delivered production AWS platforms at enterprise scale.

02

Security-First Architecture

Security controls are embedded at design time, not retrofitted after deployment. We enforce least-privilege IAM, encryption by default, and continuous compliance monitoring through AWS Security Hub and Config from day one.

03

FinOps-Integrated Delivery

Cost governance is built into every architecture decision, from instance family selection to S3 storage class design. We establish tagging taxonomies and budget alerts on day one so finance teams gain full visibility before go-live.

04

Infrastructure as Code by Default

All resources are codified in Terraform or CDK with modular, peer-reviewed repositories. Drift is detected automatically, and every change passes through a tested CI/CD pipeline with policy-as-code gates.

05

Data and AI Platform Depth

Beyond compute and networking, our team specialises in Redshift, Glue, Kinesis, and SageMaker, enabling integrated data and ML platform builds on AWS that accelerate analytics and AI initiatives without siloed tooling.

06

Proven Migration Methodology

Our 6 Rs migration framework, backed by AWS Migration Evaluator assessments and phased wave planning, has successfully migrated thousands of workloads with zero production outages during cutover windows.

Challenges

Common Enterprise Pain Points

01

Uncontrolled Multi-Account Sprawl

As teams create accounts ad hoc, governance gaps emerge: inconsistent SCPs, no centralised logging, and manual account provisioning that takes weeks. Without AWS Landing Zone automation, security and audit readiness deteriorate rapidly across the account portfolio.

02

Legacy Workloads Resistant to Migration

On-premises monoliths with undocumented dependencies, rigid database schemas, and tightly coupled integrations resist lift-and-shift approaches. Without a structured 6 Rs assessment and phased migration plan, migration projects stall or introduce regressions that cost more than staying on-premises.

03

EKS Operational Complexity

Running Kubernetes on EKS requires expertise across node lifecycle management, networking (VPC CNI, CoreDNS, service mesh), RBAC, and cluster upgrade cadences. Teams without dedicated platform engineering capability frequently encounter version drift, CVE exposure, and node group misconfiguration that causes production instability.

04

Data Platform Fragmentation

Enterprise data teams often maintain parallel stacks - one team using Redshift, another Athena, another an external Databricks cluster - resulting in duplicated pipelines, inconsistent data definitions, and rising costs. Consolidating onto a unified AWS analytics architecture requires both technical migration and organisational alignment.

05

Regulatory Compliance Across Jurisdictions

Organisations operating under PCI DSS, HIPAA, ISO 27001, or GDPR face difficulty mapping hundreds of controls to AWS service configurations that change with each service update. Manual evidence collection for audits consumes significant engineering time and is error-prone without automated compliance monitoring.

Our Approach

A structured AWS consulting practice that covers architecture, migration, security, data, and ongoing operations under a single engagement framework

We combine AWS architectural best practices with enterprise delivery discipline to provide end-to-end AWS consulting that accelerates cloud maturity. Whether your organisation needs a greenfield Landing Zone, a complex multi-workload migration, or continuous managed operations, our teams integrate with your engineering organisation to deliver outcomes rather than documents.

01
AWS Landing Zone and Control Tower
We design and deploy multi-account Landing Zones with Account Factory for Terraform, centralised logging, SCPs, and IAM Identity Center, delivering a secure, auditable cloud foundation in four to six weeks.
02
6 Rs Migration and Modernisation
Our migration methodology covers discovery with AWS MGN and Migration Evaluator, wave planning, cutover execution, and post-migration optimisation across Rehost, Replatform, and Refactor tracks.
03
Platform Engineering and EKS
We build and operate production EKS clusters with Karpenter autoscaling, GitOps delivery via ArgoCD or Flux, service mesh with Istio or App Mesh, and full observability through the AWS-native and open-source toolchain.
04
Data and AI Platform on AWS
We architect Redshift-centred data platforms with Glue, Kinesis, and Athena, and integrate SageMaker Pipelines for ML workloads, delivering governed, cost-efficient analytics infrastructure aligned to your data strategy.

Delivery Models

How We Deliver

Well-Architected Assessment

A fixed-scope four-week engagement that evaluates your AWS workloads against all six pillars and delivers a prioritised remediation roadmap with effort and risk ratings for each finding.

Timeline
4 weeks
Team Size
2-3 architects
Cloud Transformation Programme

A time-bounded programme covering Landing Zone build, migration wave execution, and modernisation sprints, structured as a statement of work with defined milestones and acceptance criteria.

Timeline
12-24 weeks
Team Size
4-8 engineers
Managed AWS Operations

An ongoing monthly subscription covering 24/7 monitoring, incident response, patching, FinOps governance, and quarterly architecture reviews for production AWS environments.

Timeline
Ongoing
Team Size
2-4 engineers

Capabilities

Technical Capability Matrix

Cloud Architecture
AWS Landing ZoneControl TowerTransit GatewayDirect ConnectMulti-Region Design
Containers and Serverless
Amazon EKSAWS FargateLambdaStep FunctionsAPI Gateway
Data and Analytics
Amazon RedshiftAWS GlueKinesis Data FirehoseAthenaQuickSight
Security and Compliance
AWS Security HubGuardDutyMacieAWS ConfigKMS

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.

Learn more →
02

Dedicated Developers

Full-time team aligned to your product roadmap.

Learn more →
03

Managed Teams

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

Learn more →
04

Engineering Pods

Autonomous cross-functional pods per domain.

Learn more →
05

Offshore Dev Centre

Permanent engineering base in India. Full IP ownership.

Learn more →
06

Build-Operate-Transfer

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

Learn more →

Our Process

From Discovery to Delivery

1

Discovery and Scoping

Day 1

We conduct stakeholder interviews, review existing architecture diagrams, and run automated discovery tools across your AWS accounts to baseline the current state and define engagement scope.

2

Architecture Assessment

Days 2-10

AWS Well-Architected Review findings are combined with cost analysis from Cost Explorer and Compute Optimizer to produce a prioritised risk and opportunity register.

3

Solution Design and Roadmap

Week 2

We deliver a detailed architecture design document, infrastructure-as-code repository scaffolding, and a phased implementation roadmap with business-case cost projections.

4

Build and Migration Execution

Weeks 3-20

Our engineers implement the agreed architecture in sprint cycles, executing Landing Zone deployment, workload migrations, and platform builds with daily stand-ups and weekly stakeholder reviews.

5

Handover and Managed Operations

Ongoing

We conduct knowledge transfer sessions, document all operational runbooks in Confluence, and transition to a managed operations model or internal ownership with defined support SLAs.

Free Scoping Call

Not ready to book? Our PM calls back.

Tell us what's broken. We'll scope it for free and confirm the right expert no commitment.

PM available now

Get a fix plan
in 10 minutes.

No sales call. A real PM scopes your problem, recommends the right expert, and gives you the plan only book if it fits.

  • Free scoping call PM explains exactly how we fix it
  • No commitment hear the plan before you pay anything
  • Expert confirmed right skill match for your stack
R
P
A

47 PMs responded today

Get Matched in 10 Minutes

Fill in the details PM calls you back to confirm.

No spam. PM calls within 10 minutes during business hours.

Security & Compliance

Enterprise-Grade Security by Default

✓ISO 27001 Certified✓SOC 2 Type II Ready✓GDPR Compliant✓DPDP Act Ready✓NDA on Day 1✓MSA Available✓IP Assignment Clauses✓Escrow Options

Governance

Programme Governance

✓

Architecture Decision Records

Every significant design choice is captured in an ADR stored in version control, providing an auditable history of architectural decisions and the trade-offs considered.

✓

Policy as Code Enforcement

Checkov, tfsec, and OPA Conftest run in CI pipelines to prevent non-compliant infrastructure from reaching any environment, enforcing tagging, encryption, and network security standards automatically.

✓

Change Advisory Process

All infrastructure changes to production environments require a documented change request, Terraform plan review, and approval from a senior architect before execution, with rollback procedures defined in advance.

✓

Monthly FinOps Review

A structured monthly meeting reviews Cost and Usage Report trends, Reserved Instance and Savings Plans coverage, anomaly alerts, and upcoming optimisation opportunities with quantified savings projections.

Team Structure

Your Enterprise Team

Our AWS consulting teams are structured around vertical practices - Cloud Platform, Data and Analytics, Security, and ML/AI - so that the engineers assigned to your engagement have deep domain expertise rather than generalist coverage. Each engagement includes a dedicated Engagement Manager who owns delivery coordination, escalation, and stakeholder communication.

✓AWS Solutions Architect
✓Cloud Platform Engineer
✓DevOps and SRE Engineer
✓Data Platform Architect
✓ML Engineer
✓Security Engineer
✓FinOps Analyst
✓Engagement Manager

Project Lifecycle

From Kickoff to Production

01
2-3 weeks

Discovery and Assessment

Current-state architecture inventory, Well-Architected Review findings, cost baseline, compliance gap analysis, and prioritised remediation register.

02
2-3 weeks

Solution Design

Target architecture diagrams, Terraform module structure, network topology, IAM strategy, and phased implementation roadmap with business-case financials.

03
4-6 weeks

Foundation Build

AWS Landing Zone with Control Tower, Account Factory for Terraform, centralised logging, SCPs, IAM Identity Center, and hub-and-spoke networking.

04
8-16 weeks

Workload Migration and Modernisation

Migrated and optimised workloads by wave, EKS or serverless platform deployments, data platform build, CI/CD pipelines, and observability dashboards.

05
Ongoing

Managed Operations

Monthly health reports, FinOps recommendations, patching records, security findings triage, DR exercise reports, and architecture review documentation.

Case Studies

Enterprise Outcomes

Financial Services

A tier-1 asset manager needed to migrate 340 applications from three on-premises data centres to AWS within 18 months to exit an expiring data centre lease.

We deployed an AWS Landing Zone with 60 accounts, executed migration in 12 waves using AWS MGN and Database Migration Service, and replatformed 80 applications to Aurora and EKS.

34%reduction in infrastructure cost post-migration
Healthcare

A national health network required a HIPAA-compliant data platform to consolidate clinical and claims data from 12 disparate source systems for population health analytics.

We built a Redshift-based data lakehouse with Glue ETL, Macie-enforced PHI discovery, and QuickSight embedded analytics, with Audit Manager automating HIPAA evidence collection.

$1.8Mannual reporting cost avoided through automated compliance evidence
Retail and E-Commerce

A global retailer experienced repeated EKS cluster instability during peak trading periods due to insufficient autoscaling configuration and node group misconfiguration.

We migrated node groups to Karpenter, implemented KEDA-backed event-driven scaling tied to SQS queue depth, and established a 90-day platform engineering retainer for ongoing cluster management.

99.98%platform availability achieved across six consecutive peak trading events

Start Your Engagement

Ready to Build Your Enterprise Engineering Team?

Speak with a solution architect. We scope your engagement together. No sales pressure, no commitment required.

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

An AWS Well-Architected Review is a structured assessment of your cloud workloads against the six pillars: Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, and Sustainability. Our architects conduct automated scans, stakeholder interviews, and architecture diagram reviews across each pillar. The process typically spans two to three weeks for a mid-sized environment, resulting in a prioritised remediation roadmap with risk ratings and implementation effort estimates. Organisations that complete Well-Architected Reviews typically resolve 60 to 80 percent of high-risk findings within 90 days.
We design AWS Landing Zones using AWS Control Tower as the orchestration layer combined with Account Factory for Terraform (AFT) to codify account vending and guardrail enforcement. The architecture covers a multi-account structure aligned to business units, centralised logging to S3 and CloudWatch Logs Insights, AWS Organizations Service Control Policies (SCPs), and a hub-and-spoke network topology using AWS Transit Gateway. Identity federation through AWS IAM Identity Center ensures single sign-on and least-privilege role assignment across all member accounts. The build phase typically runs four to six weeks and includes runbooks for ongoing account provisioning.
For legacy monoliths, we evaluate all six Rs (Rehost, Replatform, Repurchase, Refactor, Retire, Retain) before recommending a path. Most large monoliths benefit from a phased approach: Rehost first using AWS Application Migration Service (MGN) to achieve fast time-to-cloud, then Replatform selected components to managed services such as Amazon RDS or ElastiCache, with a longer-term Refactor track that decomposes business domains into ECS or EKS microservices. We use AWS Migration Evaluator to baseline on-premises costs and model total-cost-of-ownership comparisons before committing to any strategy. This staged approach reduces migration risk while steadily improving architectural maturity.
Our cost optimisation engagement begins with a 30-day baseline using AWS Cost Explorer, Compute Optimizer, and Trusted Advisor findings aggregated through AWS Cost and Usage Reports (CUR) in Athena. We identify the top five cost drivers and apply tactical quick wins such as Reserved Instance and Savings Plans purchases, right-sizing EC2 and RDS instances, and deleting unattached EBS volumes and idle load balancers. Architectural improvements follow, including migrating batch workloads to Spot Instances via AWS Batch, tiering S3 objects with Intelligent-Tiering and lifecycle policies, and converting long-running EC2 jobs to Lambda or Fargate where feasible. Organisations typically achieve 25 to 40 percent cost reduction within the first quarter of an optimisation engagement.
We implement a defence-in-depth model anchored on AWS Security Hub as the centralised findings aggregator, with GuardDuty for threat detection, Macie for sensitive data discovery, and AWS Config Rules for continuous compliance evaluation. Network controls include VPC Security Groups, Network Firewall, and AWS WAF in front of internet-facing workloads, while AWS Shield Advanced protects against volumetric DDoS attacks. All secrets are managed through AWS Secrets Manager with automatic rotation, and KMS Customer Managed Keys enforce envelope encryption for data at rest. We also integrate with SIEM platforms through EventBridge and Kinesis Data Firehose so that security events flow into your existing SOC toolchain.
We provision EKS clusters using Terraform modules that enforce managed node groups, IRSA (IAM Roles for Service Accounts), and EKS add-ons for VPC CNI, CoreDNS, and kube-proxy. Cluster autoscaling is implemented with Karpenter, which provisions right-sized nodes within seconds based on pending pod resource requests and supports Spot diversification strategies to minimise interruption risk. We configure Horizontal Pod Autoscaler (HPA) backed by KEDA for event-driven scaling, and Vertical Pod Autoscaler (VPA) in recommendation mode to inform resource request tuning over time. Ongoing managed operations include monthly EKS version upgrades, CVE patching, and weekly cost reports per namespace.
We design serverless architectures using Lambda as the compute backbone, connected to event sources including SQS, SNS, EventBridge, DynamoDB Streams, Kinesis, and API Gateway. Complex orchestration logic is externalised to AWS Step Functions Standard or Express Workflows, which provides auditability, retry logic, and parallel branching without embedding orchestration in function code. Lambda extensions and Lambda Layers are used to inject observability agents and shared libraries, while Powertools for AWS Lambda standardises structured logging, tracing with X-Ray, and metrics emission to CloudWatch. All infrastructure is managed as code with AWS SAM or CDK, enabling reproducible deployments across development, staging, and production environments.
For relational workloads we recommend Amazon Aurora where possible because its storage layer replicates six ways across three Availability Zones, delivers 5x the throughput of standard MySQL, and supports Aurora Serverless v2 for unpredictable workload patterns. For multi-region requirements, Aurora Global Database provides sub-second replication with a Recovery Time Objective under one minute and Recovery Point Objective under one second. Where Aurora is not suitable we provision RDS Multi-AZ with read replicas and enable Performance Insights and Enhanced Monitoring. Database proxy via RDS Proxy eliminates connection exhaustion in Lambda and containerised architectures, and we configure automated backups with point-in-time recovery windows of up to 35 days.
We architect cloud data platforms on Amazon Redshift Serverless or provisioned RA3 clusters depending on query concurrency and predictability, integrating Redshift Spectrum for federated querying over S3-based data lakes without data movement. Ingestion pipelines are built on AWS Glue for ELT transformations, Kinesis Data Firehose for streaming ingestion, and DMS for ongoing replication from operational databases. Metadata management is centralised in AWS Glue Data Catalog, accessible from Redshift, Athena, and EMR. Visualisation layers connect through Amazon QuickSight with SPICE acceleration for self-service analytics, and we implement row-level security and column-level masking to enforce data governance policies at query time.
Our SageMaker engagements begin with a feature engineering layer using SageMaker Feature Store to ensure consistent features between training and inference, eliminating training-serving skew. Model training runs through SageMaker Pipelines with managed Spot training to reduce GPU costs by up to 70 percent, and experiments are tracked in SageMaker Experiments for reproducibility. Model deployment targets SageMaker Real-Time Endpoints with autoscaling, or Batch Transform for high-throughput offline scoring, with model quality monitored continuously through SageMaker Model Monitor and CloudWatch alarms triggering retraining pipelines on drift detection. Integration with MLflow or existing CI/CD systems is handled through SageMaker Projects, which provisions CodePipeline workflows for model promotion across environments.
Our managed operations service covers 24/7 infrastructure monitoring through CloudWatch dashboards and PagerDuty escalation policies, incident response with defined SLA tiers (P1 response under 15 minutes), and proactive patching of EC2 instances and EKS node groups through Systems Manager Patch Manager. Cost governance is delivered through monthly FinOps review calls with Savings Plans recommendations and anomaly detection alerts. Security operations include weekly Trusted Advisor and Security Hub findings triage, quarterly penetration testing coordination, and quarterly access reviews against IAM Identity Center assignments. Clients receive a monthly operational health report covering availability metrics, change activity, cost trends, and risk findings.
AWS provides a shared responsibility model that covers physical and hypervisor-level controls, but customer-side configuration must be hardened to meet regulatory standards. We map compliance controls to AWS services using the AWS Audit Manager framework, which automates evidence collection from Config Rules, CloudTrail, and Security Hub findings aligned to PCI DSS, HIPAA, SOC 2, and ISO 27001 control sets. Network segmentation, encryption at rest and in transit, access control, and logging configurations are enforced as infrastructure-as-code so that compliance state is repeatable and auditable. We also configure AWS Backup with immutable vault policies for regulated data retention and coordinate with your compliance team to produce audit-ready evidence packages.
AWS Direct Connect provides a dedicated private network circuit from your data centre or colocation facility to an AWS Direct Connect location, delivering consistent sub-10ms latency, predictable bandwidth up to 100 Gbps, and lower data transfer costs for high-volume workloads. Site-to-Site VPN traverses the public internet using IPSec tunnels and is subject to internet latency variability, making it suitable for branch offices, disaster recovery connectivity, or as a backup path for Direct Connect. For enterprise production workloads with regulatory data residency requirements or latency-sensitive databases, Direct Connect with a 10 Gbps dedicated connection and a hosted backup VPN tunnel is the recommended architecture. We assist with cross-connect provisioning at AWS Direct Connect locations and BGP routing configuration through AWS Transit Gateway.
All infrastructure we deploy is authored in Terraform with a module registry that enforces organisation-wide naming conventions, tagging strategies, and approved resource configurations. State files are stored in S3 with DynamoDB locking and versioning enabled, and all changes flow through a GitOps pipeline with mandatory peer review and Terraform plan output approval before apply. AWS Config continuously evaluates resource configurations against custom and managed rules, and any drift from the approved Terraform state triggers a Config remediation or alerts the operations team. Checkov and tfsec run in CI as static analysis tools to catch security misconfigurations before resources are provisioned, preventing issues such as public S3 buckets or unrestricted security group ingress rules.
AWS supports four DR strategies: Backup and Restore, Pilot Light, Warm Standby, and Multi-Site Active/Active, each offering different cost and recovery time trade-offs. For critical workloads, a Warm Standby architecture using Aurora Global Database, EKS cluster replication with Velero, and Route 53 health-check failover typically achieves RTO under 15 minutes and RPO under 5 minutes. Active/Active multi-region deployments with DynamoDB Global Tables and API Gateway regional endpoints can approach zero-downtime failover but require application-level conflict resolution. We conduct quarterly DR exercises with automated runbooks in Systems Manager OpsCenter to validate that RTO and RPO targets are met under realistic failure scenarios, and we document findings in post-exercise reports that feed back into architecture improvements.
We offer three engagement models tailored to enterprise procurement timelines and project complexity. A Fixed-Scope Assessment delivers a Well-Architected Review, architecture blueprint, and roadmap within four weeks under a statement of work with fixed pricing. A Time-and-Materials Advisory retainer provides on-demand access to senior AWS architects for architecture reviews, design sprints, and escalation support on an hourly or monthly basis. A Managed Services Agreement covers ongoing operations, security monitoring, FinOps, and platform engineering for production environments under a monthly subscription with defined SLA commitments. Teams are typically mobilised within five to ten business days of contract execution, with a dedicated engagement manager assigned on day one to coordinate onboarding, access provisioning, and kickoff planning.
Industries
Financial ServicesHealthcare and Life SciencesRetail and E-CommerceManufacturingSaaS and Technology