Implify Inc
.Net with Click Software
Cherry Hill, NJ, United States · Full-time
Stay score
odds of building a lasting career here
Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.
Lottery odds assume a STEM candidate.
Personalize to your clock →Employer immigration record
from this employer's Department of Labor filings
Third-party placement is common here
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
Community outcomes
No reports yet — be the first to help the next applicant.
About the role
- Implify, Inc is a Global IT Solutions and services firm.
- Since it's inception, Implify, Inc has been providing best-quality and cost-effective IT solutions to fortune 1000 companies, mid-range companies and upcoming companies via its onsite, Offshore and in-house service models.
- IMPLIFY is an IT consulting services and software development firm dedicated to business success through long-term relationships with our clients and staff.
Nice to have
- Bachelor's degree or foreign equivalent required from an accredited institution.
- At least 2 years of experience within Information Technology.
- At least 2 years of experience in configuring and customizing Click Scheduler and Click Mobile (Version 8.1 or above) (Classic and Touch)
- At least 2 years of experience in dot net technologies
- At least 2 years of experience in translating functional/non-functional requirements to system requirements.
- At least 2 years of experience in software development life cycle.
- Technical Skills.
- Ability to work in team environment and client interfacing skills.
Visa & Work Authorization
- citizens, Green Card holders and those authorized to work in the U
This listing is sourced directly from Implify Inc's careers page and normalized into a canonical job model.