Bring architects, developers, QA, cloud and AI engineers into the work you need to move forward. Match the expertise to your stack, agree the ownership and start with a useful first contribution.
Concept workspace · Scope and availability agreed together
The right capacity. The right commitment.
Match the working model to your delivery needs. Start with the problem, the ownership you need and the continuity your project requires.
An engineer who is part of your team
Full-time dedicated
A monthly engagement with a dedicated engineer or team for your ongoing roadmap. Build deeper product knowledge through consistent ownership and day-to-day collaboration.
Monthly engagement for agreed full-time capacity
Working hours that overlap with your team
Your stand-ups, backlog, repositories and tools
Continuity across features, releases and reviews
A GOOD FIT FOR
Ongoing product development, application modernization and sustained team extension.
Bring in an architect, developer or specialist for a defined piece of work. Pay for the hours worked, with scope, rates and scheduling agreed before work begins.
Hourly billing for time actually worked
Flexible scheduling around agreed priorities
Timesheets and concise progress notes
Extend the work or discuss a dedicated engagement
A GOOD FIT FOR
Architecture reviews, troubleshooting, technical upgrades, code reviews and short sprints.
Availability, rates, minimum commitments and engagement terms are confirmed during scoping.
Find the skill. Define the ownership.
Look beyond a technology checklist. Choose the expertise that fits the decisions, implementation and quality checks your project needs.
Solution & cloud architects
Set a clear technical direction before major build or migration decisions become expensive to change.
Review architecture, dependencies and delivery risks
Map integration boundaries and a staged migration plan
System design · Azure · AWS · Integration
Developers & technical leads
Add technical ownership for complex features, established applications and teams managing a growing backlog.
Implement business logic and review critical changes
Document decisions and guide the development team
.NET / C# · Java / Spring Boot · PHP / Laravel
Full-stack developers
Connect the user experience to the services and data behind it, with ownership across a complete feature.
Build interfaces, APIs and database changes together
Handle validation, accessibility and integration edge cases
React · Angular · TypeScript · Node.js · SQL
QA & automation engineers
Make release decisions with clearer evidence about what works and where the risks remain.
Define representative test cases for critical journeys
Add API and browser checks to the delivery pipeline
Playwright · Cypress · API tests · Test strategy
DevOps & cloud engineers
Bring consistency to environments, deployments and the day-to-day operation of your applications.
Automate infrastructure and release pipelines
Improve monitoring, recovery and operational handover
Azure · AWS · Docker · Terraform · CI/CD
AI & data engineers
Turn model capabilities and business knowledge into useful features with a way to measure their behaviour.
Connect document processing, retrieval and data flows
Build evaluation cases and human review checkpoints
Python · Model APIs · Document AI · Evaluation
Start with the stack you already run.
Share the versions, integrations and constraints behind the technology names. Match experience to your actual environment and the changes you need to make.
Application engineering
.NET & C#
Java & Spring Boot
PHP & Laravel
Node.js
Python
Business applications, services and integrations.
Web experiences
React
Angular
TypeScript
HTML & CSS
Responsive interfaces and complete product journeys.
Cloud & delivery
Azure
AWS
Docker
Kubernetes
Terraform
GitHub Actions
Repeatable environments, deployments and operations.
Data & applied AI
SQL Server
PostgreSQL
MySQL
Model APIs
Document intelligence
Data access, retrieval and evaluated AI workflows.
Quality engineering
Playwright
Cypress
xUnit
JUnit
PHPUnit
API testing
Automated checks for business-critical behaviour.
Technology areas for discussion; the mix of skills and available profiles is confirmed for each engagement.
A clear start. A useful first milestone.
Remove ambiguity before implementation begins. Align on the person, the responsibilities and the working agreement, then make progress visible.
01
Define the requirement
Share the role, stack, project context, working overlap and expected duration. Agree what the person or team should own.
Checkpoint
A role brief covering responsibilities, relevant experience, collaboration needs and the first area of work.
02
Review the technical fit
Discuss relevant profiles and arrange technical conversations. Evaluate experience against your actual architecture and delivery needs.
Checkpoint
Review a representative engineering problem together, then record strengths, open questions and the proposed fit.
03
Prepare the first milestone
Confirm scope, availability and terms. Set up access, environments, review ownership and a useful first deliverable.
Checkpoint
A ready-to-start checklist: approved access, a working local setup, a scoped task and its acceptance criteria.
04
Deliver, review & adapt
Work through your backlog, review changes and demonstrate progress. Adjust priorities and capacity at agreed checkpoints.
Checkpoint
Review working changes and handover notes; include time records for hourly work and upcoming capacity for dedicated engagements.
Agree the first contribution before the first sprint.
A small feature, a reviewed architecture decision or a working test pipeline gives the team a concrete starting point. Define acceptance, access and the reviewer in advance.
Engineering capacity with a working agreement.
Good collaboration needs more than an assigned task. These are the foundations to agree so delivery, quality and communication stay connected.
01
Your priorities, visible ownership
Keep a named owner for the backlog, technical decisions and acceptance. Agree who approves a change and what “done” means.
In practice
A feature has an agreed acceptance checklist and a product owner who reviews it before it is marked complete.
02
Work in your delivery rhythm
Agree overlap for planning, reviews and demonstrations. Use your repositories, issue tracking and communication channels.
In practice
Use an agreed overlap window for questions and reviews, with written updates when the team is working asynchronously.
03
Quality built into the work
Set expectations for pull requests, automated checks, documentation and release readiness before the first implementation.
In practice
A change arrives with a reviewable pull request, relevant test evidence and notes on any release dependencies.
04
AI tools with human accountability
Agree which AI tools and data are permitted. Engineers review generated changes and remain responsible for their behaviour.
In practice
Generated code is checked against the requirement and tested; sensitive data stays within the agreed tool boundaries.
05
Access and confidentiality by agreement
Document confidentiality, intellectual-property terms and access permissions. Grant only the access needed for the agreed role.
In practice
Use named accounts, scope repository and environment permissions to the work, and review them when responsibilities change.
06
Knowledge that stays with your team
Include decision notes, walkthroughs and operational guidance. Plan handover and access removal when an engagement ends.
In practice
Walk through the final changes, record known limitations and verify that the receiving team can run and support the work.
Shape the team around the work.
Illustrative team combinations to start a conversation. The final mix depends on your existing team, scope and delivery stage.
Move a product roadmap forward
Full-stack + technical leadership
Add a full-stack developer or technical lead to deliver a defined feature stream alongside your existing team.
Yes. Start the conversation around the role or skill gap you have today. An individual engagement or a broader team can be scoped around your roadmap, subject to fit and availability.
Can we speak with engineers before deciding?
Include technical conversations in the selection process. Share the architecture, responsibilities and collaboration needs you want to discuss so the review focuses on the work that matters.
How do dedicated and hourly engagements differ?
A dedicated engagement suits continuity across an ongoing roadmap. Hourly work suits a bounded task or specialist review. Scope, scheduling, reporting and commercial terms are agreed before either model begins.
How soon can someone start?
The start date depends on the role, required experience, working overlap and current availability. Share your preferred date with the brief so a realistic onboarding plan can be discussed.
Will engineers work in our tools and time zone?
Repositories, communication tools and working-hour overlap are agreed during scoping. Identify any required meetings or access restrictions early so they can be reflected in the engagement.
How are rates, confidentiality and IP handled?
Rates depend on the role, scope and working model. Commercial terms, confidentiality, intellectual-property arrangements and permitted access are agreed in writing before work begins.
Can the scope or team change later?
Use delivery checkpoints to review priorities and capacity. Additional roles, a different working model or a handover can be discussed, with changes confirmed against availability and agreed terms.
Tell us what needs to move forward.
Share the role, your stack and the work ahead. We’ll discuss the expertise and engagement model that fit.
