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Cloud

Engineering

Cloud done well isn’t just infrastructure – it’s a strategic advantage. Our Cloud Engineering practice is built on deep AWS expertise, Advanced Partner status and the GenAI competency to prove it. It’s applied across the full spectrum of cloud transformation: from migration and modernisation through to production-grade AI infrastructure. We don’t just move workloads to the cloud. We engineer environments that are secure, scalable and built to perform from day one.

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The Challenge

Our Approach

WHO IT’S FOR

HOW WE DELIVER

OUTCOMES & BENEFITS

PROVEN RESULTS

FAQS

The

Challenge

Moving to the cloud isn’t the hard part. Getting it right, keeping it secure and making it perform is where most organisations struggle.

Cloud complexity

Is Accelerating

Modern cloud estates span hundreds of services, accounts and teams. They create security gaps, cost overruns and operational fragility that compound over time

Gartner estimates that through 2026, 99% of cloud security failures will be the customer’s fault, the result of misconfiguration, not platform weakness

Legacy Estates Are

Holding Businesses Back

Organisations running on outdated infrastructure face mounting technical debt, rising maintenance costs and an inability to adopt the AI and data capabilities their competitors are already harnessing

Up to 70% of enterprise IT budgets are consumed by maintaining legacy systems, leaving little room for innovation

AI Ambitions Demand Cloud

Foundations That Can Carry Them

Generative AI and ML workloads place demands on infrastructure that most cloud estates were never designed to handle. Performance, security, cost and compliance all need to be engineered in from the start

Without production-grade AI infrastructure, AI initiatives stall in pilot and never reach the scale needed to deliver business value

The cost of inaction

Organisations that delay cloud transformation or cut corners on architecture face consequences and costs that compound quickly.

higher operational costs for organisations running on unoptimised cloud or legacy infrastructure

0 %

slower feature delivery for teams without mature CI/CD and cloud-native practices

0 X

more downtime incidents in cloud environments without embedded security and compliance controls

0 %

Our

APPROACH

We bring benchmarked expertise, rigorous architecture discipline and a quality-first mindset to every cloud engagement – from first migration to full AI-enabled operations.

What Makes Us

Different

AWS ADVANCED PARTNER WITH GENAI COMPETENCY

Our AWS Advanced Partner status and Generative AI Competency are third-party validations of genuine technical depth. They represent our ability to build and operationalise GenAI solutions using AWS technologies with demonstrated real-world success, adherence to ethical AI practices and a commitment to ongoing support.

QUALITY-FIRST INFRASTRUCTURE

We treat infrastructure as code, ensuring every environment is built to be quality-assured, predictable and repeatable. This reduces the operational risk that accumulates in poorly governed cloud estates.

PRODUCTION-GRADE AI & MLOPS EXPERTISE

We bridge cloud migration and AI readiness – engineering the secure, scalable foundations your AI teams need to move confidently from pilot to production on AWS Bedrock and SageMaker.

RIGOROUS COMPLIANCE BY DESIGN

Security and compliance aren’t retrofitted, they’re embedded into your architecture from day one. Our proactively security-cleared consultants ensure your infrastructure stands up to ISO 27001, SOC 2 and GDPR scrutiny without disrupting delivery.

Platforms, Tools

& Practices

TOOLS & TECHNOLOGIES

Control Tower, SageMaker, Bedrock, EKS, Lambda, IAM, GuardDuty, Security Hub, CloudFormation, AWS Config

CodePipeline

Cost Explorer

METHODOLOGIES

We follow the AWS Well-Architected Framework, Cloud Adoption Framework (CAF), and FinOps Foundation Framework, underpinned by our Security-by-Design and Quality-Led modernisation approach – ensuring every engagement delivers infrastructure that is secure, optimised, and built to last.

Our

Capabilities

Cloud Strategy

& Architecture
Advisory

Your definitive path to cloud maturity, built on evidence not assumption. We evaluate your current infrastructure, identify risks and inefficiencies, and design structured migration pathways that modernise legacy estates into highly scalable, cloud-native architectures aligned to your business goals.

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AWS Security

& Compliance

Robust cloud security built to withstand scrutiny. We deploy continuous auditing frameworks and built-in landing zone controls that protect stakeholder interests and ensure seamless compliance with ISO 27001, SOC 2 and GDPR – without creating friction in your delivery teams.

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AWS Platform Build

& Foundation

Engineering your cloud infrastructure for security and growth from day one. We establish future-proof, stable foundations using AWS cloud-native best practices and infrastructure as code – creating environments that scale seamlessly alongside your business and stand up to operational demands from the moment they go live.

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CLOUD MIGRATION

& MODERNISATION

Structured, validated cloud transition with minimal disruption and maximum confidence. We plan, design and execute migrations that protect data integrity, eliminate technical debt and build the future-proof capacity your business needs. We turn legacy liability into cloud-native advantage.

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CONTINUOUS DELIVERY

ENGINEERING

Reliable, repeatable deployment pipelines that remove manual overhead and eliminate risk. We design and build robust CI/CD pipelines that enable safe, daily deployments – ensuring code reaches production consistently, quickly and without critical system failures.

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MANAGED CLOUD

OPERATIONS (SRE)

Automated Site Reliability Engineering models that decouple operational costs from platform growth. We embed SRE practices across your estate with proactive monitoring, incident response and reliability engineering that keeps your cloud performing as your business scales.

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FINOPS &

COST OPTIMISATION

Financial governance and engineering rigour applied to your cloud spend. We eliminate waste, right-size infrastructure, and implement the controls and visibility needed to ensure every pound of cloud investment is working as hard as it should.

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AI INFRASTRUCTURE

& MLOPS

Secure, production-grade AI infrastructure engineered for scale and reliability. We build scalable MLOps pipelines, vector storage and model serving infrastructure on AWS – giving your AI teams the stable, trusted foundations they need to take initiatives from experiment to production.

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GENERATIVE AI

& RAG ENGINEERING

Moving your organisation from high-risk public AI dependency to secure, private GenAI architectures. We design and build Retrieval-Augmented Generation solutions on AWS Bedrock – grounding your AI outputs in your own data, reducing hallucination risk and ensuring your GenAI deployments are accurate, governed and enterprise-ready.

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Who Is This

Service For?

We work with organisations that have recognised the cloud isn’t just an infrastructure decision – it’s a strategic one. And that getting the foundations right determines everything that comes after.

COMPANY SIZE

Scale-ups

Mid-Market

Enterprise

Maturity Level

Beginning cloud journey

Partial cloud adoption

Optimising existing cloud

Scaling AI on cloud

I need to Modernise infrastructure

Optimise our costs

Technical Leadership

Chief Technology
Officers

CTOs who need a trusted AWS partner to navigate the complexity of cloud transformation – balancing speed, security and cost without compromising on quality or long-term scalability

Cloud strategy and roadmap

Security and compliance

AI infrastructure readiness

Developer experience

I need proven expertise

ENGINEERING LEADERSHIP

HEAD OF ENGINEERING / ENGINEERING MANAGER

Engineering leaders responsible for building and operating cloud-native platforms – who need proven AWS expertise embedded directly into their teams to accelerate delivery without accumulating operational debt.

Platform reliability

CI/CD maturity

Developer productivity

I need to deliver value faster

Increase productivity

FINANCIAL LEADERSHIP

CHIEF FINANCIAL OFFICER / HEAD OF FINANCE

Finance leaders who need visibility and control over cloud spend – ensuring infrastructure investment is governed, optimised and tied directly to business outcomes rather than growing unchecked.

Cost transparency

FinOps governance

ROI on cloud investment

I need to scale reliably

Scale from pilot to production

DATA & AI LEADERSHIP

CHIEF DATA OFFICER / HEAD OF AI

Data and AI leaders who need the secure, scalable AWS infrastructure to take AI initiatives from proof of concept to production – reliably, safely and at enterprise scale

MLOps pipeline maturity

GenAI infrastructure

Data security and compliance

scaleDELIVERY

Our proven five-phase

methodology

DISCOVER

Thorough discovery of your current state, challenges, objectives and constraints, establishing a shared understanding before a single recommendation is made.

Deliverables

Design

Translating discovery into a clear, agreed approach – covering target operating model, success criteria, tooling strategy and a prioritised roadmap aligned to your business goals.

Deliverables

DELIVER

Structured, phased execution led by our expert consultants, drawing on our proven asset library of templates, frameworks, checklists and process flows to accelerate delivery without cutting corners.

Deliverables

EVOLVE

Continuous improvement, knowledge transfer and long-term partnership – refining performance, embedding capability into your teams and ensuring you remain ahead of the curve.

Deliverables

INFORM

At every phase, we maintain a consistent thread of transparency and insight. You receive high-quality, actionable data on progress, risks and outcomes – not vanity metrics or status updates that obscure more than they reveal. Because confident decisions require confident information.

Deliverables

Outcomes & Benefits

Measurable impact across performance, security, cost, and innovation velocity

faster deployment speed with mature CI/CD and cloud-native practices

0 %

reduction in infrastructure costs through FinOps governance and right-sizing

0 %

platform availability achievable with embedded SRE and automated resilience practices

0 %

Business Benefits

INFRASTRUCTURE THAT ACCELERATES INNOVATION

A well-architected AWS estate removes the friction that slows delivery teams down – enabling faster releases, faster AI adoption, and faster response to what your market demands.

SECURITY AND COMPLIANCE WITHOUT THE OVERHEAD

Compliance built into your architecture from day one means audits become a confirmation rather than a crisis. You can protect your organisation without creating a permanent drag on your engineering teams.

CLOUD SPEND THAT WORKS HARDER

FinOps governance and continuous optimisation ensure your cloud investment is always right-sized and fully justified – turning infrastructure from a growing cost into a governed, predictable asset.

AI-READY FROM THE GROUND UP

Production-grade MLOps and GenAI infrastructure on AWS means your AI initiatives have the foundations they need to scale securely, reliably, and in compliance with regulatory standards.

Technical Benefits

INFRASTRUCTURE AS CODE FROM DAY ONE

Every environment is version-controlled, repeatable, and auditable to eliminate configuration drift, reduce operational risk, and ensure your cloud estate remains manageable as it scales.

SECURITY-BY-DESIGN ARCHITECTURE

AWS security controls, landing zone governance, and continuous compliance monitoring embedded from the start. Your infrastructure is hardened by default, not patched after the fact.

SCALABLE MLOPS & GENAI PIPELINES

Production-grade AI infrastructure on AWS Bedrock and SageMaker is engineered for reliability, security, and scale – so your AI teams can move fast without compromising on governance or accuracy.

CONTINUOUS CLOUD INTELLIGENCE

Real-time visibility of cloud performance, cost, and security posture across your entire AWS estate delivers actionable insight that keeps your operations optimised and your stakeholders informed.

Proven Results

Real transformations delivering measurable business impact

umnai

UMNAI

Challenge

As an AI platform handling sensitive customer data and training proprietary models, UMNAI required enterprise-grade identity and access management from the foundation. Their multi-account AWS environment needed centralised IAM governance, federated authentication for their team, and fine-grained access controls for AI workloads.

Solution

The Scale Factory and UMNAI teams jointly designed a solution through a series of discovery workshops. We implemented our AWS Control Tower for SaaS solution to provide a high standard of cloud security and governance from the outset, and we used our AWS Fargate-based container platform because this workload would use containers.

Read Full Case Study

expedia

Expedia

Challenge

Keen to benefit from the agility of a public cloud, Expedia decided to migrate their successful operations into AWS. The new infrastructure would need not only to be PCI DSS compliant, but also comply with SOC2 requirements.

Solution

AWS ECS was chosen as the container orchestration platform, used with AWS EC2, while AWS CloudFormation was chosen to simplify infrastructure management and facilitate self-service provisioning, and AWS Lambda for increased responsiveness without the extra operations overheads. For encryption and authentication we used Hashicorp Vault.

Read Full Case Study

What Our

Clients Say

Hear from engineering leaders who have transformed
their organisations with Scale Factory.

Scale Factory were proactive in helping us achieve our business goals, whilst also saving money. They’re technically knowledgeable, and all-round nice people to work with.

Austen Constable

Arbor VP of Platform

Frequently Asked

Questions

Why AWS specifically rather than a multi-cloud approach?

We believe deep expertise in one platform delivers better outcomes than shallow expertise across many. As an AWS Advanced Partner with the Generative AI Competency, we bring validated, production-proven AWS depth that a multi-cloud generalist approach simply can’t match.

How do you handle security and compliance within cloud engagements?

Security is embedded from day one – not retrofitted. We use AWS landing zone controls, continuous compliance monitoring and infrastructure as code to ensure your environment meets ISO 27001, SOC 2 and GDPR requirements from the moment it goes live.

How do you control cloud costs as our platform scales?

We apply FinOps governance throughout every engagement – right-sizing infrastructure, implementing cost allocation frameworks and providing real-time visibility of spend so costs scale proportionally with value, not ahead of it.

How do you support AI adoption on AWS?

As an AWS Advanced Partner with the Generative AI Competency, we engineer production-grade AI infrastructure on Bedrock and SageMaker – building the secure, scalable foundations your AI teams need to move from pilot to production with confidence.