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In-house feel, nearshore

AWS Developers

AWS engineers working British hours alongside your existing team. The first question we ask is whether you need an application engineer who deploys to AWS or an infrastructure engineer who designs the account, because hiring the wrong one is the usual mistake.

  • Terraform or CloudFormation, not console-only
  • Comfortable embedding in an established platform team
  • Working your hours and fully embedded
Hire AWS Developers
Software engineer working at a dual-monitor dev workspaceInfrastructure as CodeDevOps & CI/CDSecurity & IAMMonitoring & AlertsMigration Support

TRUSTED BY 300+ENGINEERING TEAMS

Virgin Experience Days
Salmon
Hotelplan
Willo
Travelex
Tidal
Scorpion
Vector
Virgin Experience Days
Salmon
Hotelplan
Willo
Travelex
Tidal
Scorpion
Vector
Ask our AI anything
Client onboarding call with a Cloud Employee engineer joining the team

Our service

Cloud engineers embedded in your UK team

Infrastructure that exists only as clicks someone made once is a risk you carry until it is written down, so we vet on infrastructure as code rather than accepting console familiarity. Data residency is straightforward to implement once your policy is clear, and our engineers are used to building to it.

  • Cost work usually pays for itself early
  • Region and residency requirements handled as standard
  • Full-time engineers, never freelancers

Full-time engineers, never freelancers

Experts across the AWS ecosystem

  • Design scalable systems using EC2, ECS, Lambda, RDS, and more.
  • Infrastructure as CodeDeploy with Terraform, CloudFormation, and CDK best practices.
  • Engineer reviewing code on screen
  • DevOps & CI/CDAutomated pipelines, testing, rollbacks, and observability.
  • Development team collaborating in the office
  • Security & IAMSecure infrastructure with IAM, VPC design, secrets, and policies.
  • Monitoring & AlertsCloudWatch, X-Ray, and custom logging for full system visibility.
  • Migration SupportMigrate workloads and systems to AWS with minimal downtime.

The alternative

Get speed, fit and in-house feel without the hiring grind.

Cloud EmployeeIn-house hiringDev agenciesFreelancers
Speed to hire-
Flexibility to scale-
Developer fit (embedded)-
Full-time, only for you--
No overhead or upfront fees--

Solid lime = yes · outline lime = partial · grey dash = no

Vetting

You see two people - not 200 CVs.

Engineers vet engineers

A senior engineer runs a live technical conversation on the candidate's real stack, not a recruiter working from a keyword list.

Live coding, not take-homes

Real problems solved in front of an assessor, with anti-cheating checks. You see how they actually work, not what they submitted overnight.

A full profile, not a CV

Every candidate arrives with a CV, interview summary, coding-test breakdown and rate in pounds. You decide on evidence.

Every tab is a stage a candidate has to clear. Six of them, all run by our own internal engineers at Cloud Employee, before you see a name.

  • Overview
  • CV
  • Tech interview
  • Coding test
  • Psychometric
  • Soft skills

Scored by people. We use AI to cross-check our own consistency - never to decide who reaches your shortlist.

Vetted senior cloud engineer candidate profile

Luka M.

Vetted

Senior Cloud Engineer · AWS · Terraform · Kubernetes · 6 yrs · Zagreb, Croatia (GMT+1)

£4,900/moAvailable in 2 weeks

Assessment

Six years in production Python, the last three on LLM systems - retrieval pipelines, eval suites, and agent tooling for UK fintech. Owns delivery end to end.

Coding test88%
Live interviewStrong
PsychometricTop 9%
Stack
Python · LangGraph
English
C1 fluent
Overlap
8 hrs UK
Notice
2 weeks

AI in practiceShips with Copilot and Claude Code daily, and rewrote 40% of the generated code in his observed task - the judgement is his, the tooling only makes him faster.

Career history

2023 - now

Senior AI Engineer

UK payments platform · 40-person product team

Built the retrieval assistant now resolving 30% of tier-1 tickets; owns its eval suite and guardrails.

2020 - 2023

Backend Engineer, Python

Travel booking SaaS · Zagreb

Moved fraud scoring onto a real-time feature pipeline; cut false declines by 18%.

2019 - 2020

Data Engineer

Agency · Python, Postgres, AWS

  • Python
  • FastAPI
  • LangGraph
  • pgvector
  • Evals & tracing
  • AWS
  • Docker

Technical interview

Assessed by Marco R., Principal Engineer

12 Jun 2026
55 min · live call

System design4 out of 5
Code quality5 out of 5
Debugging4 out of 5
Communication5 out of 5

"Walked me through an assistant that was quietly hallucinating refund policy, how he caught it in evals, and what he got wrong on the first fix. Hire-ready for a senior seat."

Live coding test

Repair a broken deployment pipeline

Python 3.12 · pytest · observed screen share

88
score

Tests passed
21 / 21
Time used
62 of 90 min
Anti-cheat flags
0

retrieval.py · submitted diff

- hits = index.query(q, k=50)+ hits = index.query(rewrite(q), k=50, filter=tenant)+ hits = rerank(hits, q)[:8]  # recall 0.62 -> 0.91+ assert_context_budget(hits, max_tokens=6000)

Psychometric · technical thinking

How he reasons under a real deadline - not a personality quiz.

Top 9%of engineers
we test

Abstract reasoning92
Problem decomposition88
Attention to detail90
Learning agility94
Risk awareness82
  • Systems thinker
  • Root cause over quick patch
  • Asks before assuming

A 45-minute reasoning test, scored against the 4,000+ engineers we have already placed. Our assessors do the marking - AI only flags where our own scoring looks inconsistent.

Soft skills · working with your team

Communication5 out of 5
Ownership5 out of 5
Collaboration4 out of 5
Takes feedback4 out of 5
Spoken English
C1 · assessed on call
References
2 of 2 verified

"He raised the payment edge case nobody else had spotted, in writing, two days before release."

Reference check · former tech lead, UK payments platform

This is what you receive - not a CV.

Ask our AI anything

Why Cloud Employee

Engineers who own the estate they build

Cloud estates drift, and the drift is invisible until something breaks or the invoice arrives. Keeping the person who built yours is the cheapest form of documentation. 97% of our engineers stay beyond two years, at 50 to 75% less than hiring the same seniority in Britain.

  • Vetted on operated infrastructure, not certifications
  • Working your hours and onboarded to your stack
  • Continuing support from our operations team
Long-tenure engineering team at work

More than developers

Our people and process support your AWS engineers daily, with a UK-based account manager as your point of contact.

Fully supported

We handle the rest so your engineers can focus on building.

Engineer in a performance review sessionPerformance reviews
Team member handling payroll and compliancePayroll & compliance
Dual-monitor engineering workstation and equipmentEquipment
Engineering team in a modern office workspaceWorkspace
Molly and Daniel on a welcome-to-the-team onboarding call

In-house, without the friction

No upfront fees. No lock-in contracts.

  • No placement or upfront fees
  • Rolling 30-day contract, cancel anytime
  • One monthly rate, everything included

What role are you hiring for?

Pick one to start - you'll see matching engineers at the end.

  • 300+ teams built
  • 97% stay 2+ years
  • Replace if it isn't working

Got questions?

The questions CTOs and founders ask.

Can't find your question?

Ask our AI chatbot, trained on every sales call we've had.

Open chat

For most roles, 50 to 75% less than the full cost of a comparable British hire, including salary, employer national insurance, pension, recruitment fees and overheads. Yes, we place UK-based AWS engineers. The majority of our clients still end up in Eastern Europe, the Philippines or Latin America, because the talent is comparable and the price is not, and Eastern Europe overlaps a British day almost completely. The offer is really the strongest quality-to-cost ratio we can find, first-rate cloud engineers at a sustainable price.

AWS is the largest cloud platform, offering computing, storage, databases, networking and hundreds of higher-level services on demand instead of in your own server room. Teams build on it because nearly any architecture is possible without capital expenditure, scaling follows demand, and the operational heavy lifting, backups, redundancy and physical security among it, becomes someone else's specialism. The platform's breadth is itself a hazard though, since every service adopted is a dependency chosen, and costs scale as smoothly as capacity, in both directions.

Security posture, cost literacy and infrastructure-as-code habits, in that order; an AWS developer who lacks any of the three is a liability wearing a certification. IAM judgement comes first because a misconfigured permission is the classic cloud catastrophe, and least-privilege thinking has to be reflexive rather than aspirational. Cost literacy is engineering here, since architecture decisions are spending decisions, and the developer should read a bill the way they read a stack trace.

Give them an architecture to critique rather than a whiteboard to fill; describe a real system, then ask what worries them, and listen for security and cost before elegance. Strong candidates ask about traffic patterns, data sensitivity and budget early. Ask for a bill they have personally reduced and how; genuine cost work leaves specific memories, of idle instances, chatty services and storage nobody owned. Pose a failure, a region event or a leaked credential, and have them review infrastructure code with AI tooling, watching whether generated permissions get flagged.

Demand for AWS skills remains among the broadest in technology, because the platform's market position makes it the default context for an enormous share of engineering work. Worth building on is nearly a settled question at the platform level; the deeper question is how to build. Skills anchored in fundamentals, networking, security models and cost mechanics, transfer across clouds and outlast individual services, while skills anchored in memorising service trivia age like fruit.

Yes, and cloud work makes the verification question concrete, because AI-generated infrastructure code does not just risk bugs, it risks over-broad permissions and surprise spending. Our AWS developers use assistants for drafting infrastructure definitions, policies and automation scripts, under a discipline we vet for directly; generated policy gets reviewed for least privilege, generated architecture gets costed before it exists, and nothing reaches production unreviewed by the engineer who owns it. The platform rewards this posture, since infrastructure-as-code makes review possible in a way console-clicking never was.

AWS candidates go through our CTO-led vetting with the pairing session pointed at infrastructure, working through realistic architecture, security and cost problems with a senior engineer. The technical assessment, cultural fit screen and psychometric assessment we designed for software engineers complete the process. We rate production evidence above certifications every time; plenty of certified candidates have never been paged at night, and it shows. How they work with AI tools is assessed too, particularly whether generated infrastructure and policy code gets the sceptical review it needs.

You are typically interviewing matched candidates within 7 working days of a requirements call, and developers are often embedded and pushing code within about two weeks. From there it is a rolling monthly contract with 30 days' notice, one monthly fee, and no placement charges. You can scale up or down as the work changes, and you pay nothing to interview.

There is a two-week money-back guarantee, and if you want to continue we replace the developer free of charge. In practice this rarely comes up, because you interview a shortlist of two candidates who have already passed a CTO-led technical assessment and a live pair programming session, so the fit question is largely settled before anyone starts.

Proof, not promises

Hear from our customers

In their words

What the difference feels like