Hire Teams
Engineers who are productive in weeks, not quarters
Vetted engineers and cross-functional pods integrated into your process, with structured onboarding, real technical support behind them, and a replacement policy written into the agreement.
Roles
Who you can hire
Every engineer is an employee of ours with technical support and review behind them, not a name pulled from a marketplace.
React and Next.js Developers
Frontend engineers building server-rendered applications with performance and accessibility treated as requirements.
- React
- Next.js App Router
- TypeScript
- Server Components
- Tailwind CSS
Available at: Mid · Senior · Lead
Full-Stack Developers
Engineers who own a feature from database to interface, comfortable across API design, data modelling and frontend work.
- TypeScript
- Node.js
- React
- PostgreSQL
- REST and GraphQL
Available at: Mid · Senior · Lead
AI Engineers
Engineers who take AI features to production: retrieval, evaluation, guardrails, cost control and observability.
- Python
- TypeScript
- LLM APIs
- RAG
- Vector databases
Available at: Mid · Senior
Python Developers
Backend and data engineers building services, pipelines and integrations with an emphasis on correctness and testing.
- Python
- FastAPI
- Django
- Celery
- pandas
Available at: Mid · Senior · Lead
Mobile Developers
Cross-platform and native engineers shipping to the App Store and Play Store with staged release processes.
- React Native
- Expo
- Flutter
- Swift
- Kotlin
Available at: Mid · Senior
Data Engineers
Engineers building ingestion, transformation and warehouse layers with tested, monitored pipelines.
- SQL
- Python
- dbt
- Airflow
- Kafka
Available at: Mid · Senior · Lead
DevOps Engineers
Platform engineers who codify infrastructure, automate delivery and make production observable.
- Terraform
- Kubernetes
- AWS
- GitHub Actions
- Docker
Available at: Mid · Senior · Lead
QA Automation Engineers
Quality engineers who build reliable suites and treat flakiness as a defect rather than a fact of life.
- Playwright
- Cypress
- API testing
- Performance testing
- k6
Available at: Mid · Senior
UI/UX Designers
Product designers who work in systems, run research, and hand engineering something buildable.
- Figma
- Design systems
- User research
- Prototyping
- Accessibility
Available at: Mid · Senior · Lead
Solution Architects
Senior technologists who shape systems, document trade-offs and keep delivery aligned to the architecture.
- System design
- Cloud architecture
- Integration patterns
- Security architecture
- Cost modelling
Available at: Senior · Principal
Why this works
What you get that direct hiring cannot give you quickly
Capacity in weeks, not months
Matching and interviews typically take one to two weeks. Compare that with three to six months for a direct senior hire — assuming the search succeeds.
Skills you need now, not forever
A data engineer for one phase, a mobile specialist for a launch. Access to specialisms that would be hard to justify as permanent headcount.
Our employees, not a marketplace
Engineers are employed by us with ongoing technical support, review and career development. When someone hits a problem outside their depth, they have colleagues to pull in.
Knowledge stays with you
Documentation is part of delivery and work is never siloed to one person, so context remains in your team when an engagement ends.
Scale in both directions
Add capacity with notice, reduce it with notice. No renegotiation required and no penalty for being honest about what you need.
One accountable partner
Recruitment, retention, performance management and continuity are our responsibility. You manage the work, not the employment.
Vetting
How we assess engineers before you meet them
Realistic problems from real project work, not algorithm puzzles. You still run your own interview and make the final call.
Structured technical assessment
Realistic problems drawn from actual project work, not algorithm puzzles. Assessed on correctness, clarity and how the candidate handles ambiguity.
System design discussion
A conversation about trade-offs on a system in their domain. We are listening for reasoning and honesty about limits, not memorised patterns.
Code review exercise
Reviewing someone else’s pull request shows how a person communicates, what they consider important, and whether they can disagree constructively.
Collaboration and communication
Written communication matters in distributed teams. We assess it directly rather than hoping for it.
Reference checks
Conversations with previous technical leads about real delivery, not a template form.
Your interview
You interview every candidate and make the final decision. We do not place anyone you have not approved.
Engagement models
Four models, chosen by management capacity
The deciding factor is rarely budget. It is who will break work down, unblock people and make the daily trade-off calls.
Dedicated Developers
A team that needs specific skills and already has engineering management in place.
Individual engineers who join your team full time, work in your repository and your process, and report to your leads. You direct the work day to day.
- Full-time engineers matched to your stack and domain
- Your tooling, ceremonies and definition of done
- Structured onboarding with a defined first contribution
- Technical backup from our practice leads at no extra cost
- Defined replacement policy with an overlap period
- Managed by
- You
- Commitment
- Monthly, typically three months minimum
Team Extension
Scaling an existing team quickly while keeping product direction fully in-house.
A group of engineers integrated into your existing team structure. Your leads set priorities and run the process; we handle recruitment, retention, performance and continuity.
- Multiple engineers onboarded together as a group
- Integration into your existing squads and rituals
- Shared standards, review process and quality gates
- Capacity that flexes up or down with notice
- Knowledge documented as part of delivery
- Managed by
- You, with our engineering support behind the team
- Commitment
- Monthly, typically three months minimum
Managed Delivery Pods
Owning an outcome end to end when you do not have management capacity to spare.
A cross-functional pod — engineers, QA, design and a delivery lead — that takes a defined scope and runs it. You set priorities and review outcomes; we run the delivery.
- Cross-functional pod with a named delivery lead
- Sprint planning, estimation and reporting handled by us
- Quality engineering and design included in the pod
- Weekly demos and a visible backlog
- Accountability for agreed outcomes, not just hours
- Managed by
- Xalicon
- Commitment
- Quarterly, aligned to a defined scope
Offshore Development Centre
Building a durable long-term engineering capability outside your home market.
A dedicated long-term team operating as your extended engineering function, with its own hiring plan, career development and delivery structure aligned to your organisation.
- Dedicated long-term team built to your hiring profile
- Your branding, tooling and engineering culture
- Recruitment, HR, facilities and retention handled by us
- Defined governance, reporting and escalation structure
- Optional path to transition the team in-house
- Managed by
- Shared governance between your leadership and ours
- Commitment
- Annual, with a defined growth plan
Onboarding
From access to first merged pull request in days
Onboarding is a defined process with a checkpoint at thirty days, not a hopeful first month.
Day 0 — Access and environment
Accounts, repository access, local environment running and first build green before the engagement formally starts.
Day 1 — Context
Product walkthrough, architecture overview, and an introduction to the people they will work with most.
Days 2–3 — Paired first change
A small change made in a pair with one of your engineers. It surfaces process gaps immediately and gets the first pull request merged.
Week 1 — Scoped first task
A defined, low-risk task completed independently and reviewed through your normal process.
Weeks 2–4 — Full contribution
Standard sprint work, participating in your ceremonies and review process like any other team member.
Day 30 — Review checkpoint
A structured conversation with you about fit, throughput and anything that needs adjusting. Raised early, not at renewal.
Team shapes
Example compositions
Starting points rather than fixed packages. We shape the team around your gaps, not around a template.
MVP squad
4–5 peopleGetting a first product release live
- 1 × Solution Architect (part-time)
- 2 × Full-Stack Developers
- 1 × UI/UX Designer
- 1 × QA Automation Engineer (part-time)
SaaS platform pod
5–7 peopleBuilding multi-tenancy, billing and enterprise features
- 1 × Delivery Lead
- 2 × Full-Stack Developers
- 1 × React / Next.js Developer
- 1 × DevOps Engineer
- 1 × QA Automation Engineer
AI feature team
3–4 peopleTaking an AI feature from prototype to production
- 1 × AI Engineer
- 1 × Full-Stack Developer
- 1 × Data Engineer (part-time)
- 1 × QA Automation Engineer (part-time)
Modernization pod
4–6 peopleMigrating a legacy system incrementally
- 1 × Solution Architect
- 2 × Full-Stack Developers
- 1 × DevOps Engineer
- 1 × QA Automation Engineer
Technology expertise
Stacks we staff for
Frontend
Interfaces built for performance, accessibility and long-term maintainability.
- TypeScript
- React
- Next.js
- Remix
- Vue and Nuxt
- Tailwind CSS
- Storybook
Backend
Services designed around clear boundaries, typed contracts and operational visibility.
- Node.js
- Python
- Go
- .NET
- Java and Spring Boot
- GraphQL
- Temporal
Mobile
Cross-platform by default, native where the product genuinely requires it.
- React Native
- Expo
- Flutter
- Swift
- Kotlin
AI and machine learning
Model-agnostic engineering with evaluation and guardrails as standard.
- Anthropic Claude
- OpenAI
- Google Gemini
- Open-weight models
- pgvector and Qdrant
- LangGraph
- Langfuse and OpenTelemetry
Data
Pipelines and warehouses with tested transformations and monitored quality.
- PostgreSQL
- ClickHouse
- Snowflake and BigQuery
- dbt
- Airflow
- Kafka and Debezium
- Redis
Cloud and infrastructure
Everything defined in code, reproducible from a clean account.
- AWS
- Google Cloud
- Azure
- Terraform
- Kubernetes
- Vercel and Cloudflare
- Docker
Quality and security
Automated checks that make releases routine rather than eventful.
- Playwright
- Vitest and Jest
- k6
- axe-core
- Semgrep and Snyk
- Trivy
- Lighthouse CI
Scaling and continuity
What happens when things change
Written into the agreement rather than negotiated when it becomes uncomfortable.
Adding capacity
Two weeks’ notice for most roles. Scarcer specialisms take longer and we tell you the realistic lead time rather than the one you want to hear.
Reducing capacity
Thirty days’ notice per person. No penalty, no renegotiation of the remaining team’s terms.
Replacement if fit is wrong
Tell us early. We investigate, and if replacement is right we cover the transition cost and provide an overlap period so context is handed over rather than lost.
Cover for absence
Planned leave is communicated in advance. For extended unplanned absence we provide cover from someone already familiar with your codebase where possible.
Conversion to permanent
A conversion path with terms defined up front, so hiring an engineer permanently is a planned option rather than an awkward negotiation.
Questions
Hiring through Xalicon — common questions
Request talent
Tell us the roles you need
We reply within one business day with realistic availability and lead times — including when a role will take longer than you would like.
- Shortlisted candidates within about a week
- You interview everyone and make the final decision
- Transparent per-role rates, no placement fees
- Replacement policy and conversion path in the agreement
Hire Teams
Need capacity sooner than hiring allows?
Tell us the roles and the timeline. We will tell you what is realistic before you commit to anything.
Prefer email? contact@xalicon.co