Roles that stay open
A req sits for months while the roadmap keeps moving and the people you have absorb the gap.
IT & technology
Technology teams that work in your stack
HK Associate places dedicated engineers, analysts, and support people inside the tools and hours you already run. Ship, support, and improve the product without waiting out a local hiring cycle.
Challenges
Technology bottlenecks we help you clear
A queue that never clears
Tickets, bugs, and small requests pile up because nobody owns the unglamorous middle of the backlog.
Coverage that stops at five
Users in another time zone wait until morning for an answer that could have been handled overnight.
AI with no one to use it
The tools are licensed. The team is too busy to learn them, so the work stays manual.
Services
From the build to the desk that keeps it running
You keep the architecture, the priorities, and the merge button. We staff the people who do the work beside your own team.
Software engineering
Feature work, maintenance, and integrations in the repository and review process you already use.
Quality assurance
Test plans, regression, and bug reports written so an engineer can act on them the same day.
IT support & service desk
User requests, access, and first-line troubleshooting with a record of what was done.
Data & reporting
Clean extracts, recurring reports, and dashboards that match the numbers finance already trusts.
Cloud & DevOps support
Environments, deployments, and the small operational tasks that keep a release from stalling.
AI-assisted delivery
People trained to use current AI tools for drafts, tests, and research, with a human still accountable for the result.
Why HK Associate
Why technology leaders stay with a dedicated team
The point is not a vendor who disappears with the ticket. It is people who learn your product and stay on it.
Top 1% AI-ready talent
Specialists selected for the role, then trained to work with the AI tools that actually save time.
0% salary markup
You see the salary. We charge a clear management fee and do not inflate compensation.
No long-term contract
Scale a pod up for a release, or step back when the work changes. Easy in, easy out.
You direct the work
The team is exclusive to you. Standup, priorities, and code review stay in your hands.
Your stack, not a new one
Git, ticketing, cloud, CRM, and ITSM tools you already pay for. No migration project disguised as staffing.
18+ years beside clients
A staffing model that has been running long enough to know what a bad handoff looks like, and how to avoid one.
Roles
Build the technology team around the gap you have
Start with the role that is blocking the roadmap. Add the next one when the first is settled.
| Role | What they do |
|---|---|
| Software Engineer | Feature development, bug fixes, and integrations inside your repository and review process. |
| QA Analyst | Test cases, regression runs, and clear defect reports before a release goes out. |
| IT Support Specialist | Service-desk tickets, access requests, and first-line troubleshooting for your users. |
| Business Analyst | Requirements, process notes, and the translation between stakeholders and the build team. |
| Data Analyst | Reporting, data cleanup, and recurring analysis your leaders actually open. |
| Cloud & DevOps Support | Deployment help, environment upkeep, and the operational tasks around a release. |
Results
Capacity without a permanent headcount decision
Data security
Your code and your customer data stay in your control
A technology team sees more than most. Access is limited to the systems each role needs, and it ends when the person leaves the engagement.
Least privilege
Repository, ticket, and cloud access is scoped to the work, not handed out broadly.
Confidentiality
Every team member works under a confidentiality agreement.
Your security model
SSO, your VPN, and your permissions. We do not stand up a shadow environment.
FAQ
Frequently asked questions
Which technology roles can I add?
Software engineers, QA analysts, IT support specialists, business analysts, data analysts, and cloud or DevOps support. Start with one role or a full pod. They work in your tools, under your direction.
Do we have to change our stack?
No. Teams work inside the systems you already use — your repository, ticketing, cloud, and collaboration tools.
How does AI fit the work?
People are hired for the role first, then trained to use current AI tools so routine work moves faster. You still review the output and own the decisions.
Is there a long-term contract?
No. Terms are easy in and easy out, with no long-term contract required, and no markup on salaries.