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At Lilax Technologies we are constanty looking for qualified professional to join in our team

At Lilax Technologies, it's shining star like you that make this a very special place to work. As part of our Employee Referral Bonus Programs, if you refer a qualified friend or acquaintance that we hire, we'll pay you $200!

» All employees of Lilax Technologies, Inc. are eligible to participate

» The person you refer must not be in our database and must not currently be under consideration for an assignment.

» The person you refer must be hired within 30 days from the time of referral

» Have your friend apply directly at venkat@lilaxtech.com

» When your friend applies for a position, tell them to write "Lilax Employee", when we ask 'How did you find out about the job? and put your name and Lilax's e-mail address.

» Monetary rewards will be paid within 60 days of your referral's start date.

Lilax Tech offers a wide range of services such as Application Development, Application maintenance, Re-engineering services and Quality Assurance and Staff Augmentation. Lilax Technologies, is an information technology company committed to using the best business practices to help companies worldwide develop the capabilities needed to compete in the global market place. We Lilax Technologies partners with its clients in achieving success in the global market with its specialized expertise in providing Onsite, Offsite and Offshore IT services and solutions. Our core competency lies in enabling its clients to reduce the cost and complexity of deploying information technology while ensuring reliability, scalability, and manageability.

Operating from strategic worldwide locations, Lilax Technologies has carved a niche for itself in the Financial, Health Care/Pharmaceutical, Insurance, Manufacturing and Technology Markets. The company blends the right mix of technology, people, skills, and industry knowledge into customized solutions to help companies become world-class competitors. It has a proven distinction in delivering quality performance while working within cost-time constraints.