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https://kmati.inAbout
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Jobs at Kmatiin
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Relevant experience on using tools like JSP, Servlet for web applications
· MVC frame works - Struts or Spring
· Web services- SOAP and REST WebLogic, Hibernate
· Middleware technologies MQ OSB.
· Web/App Servers: Tomcat or WebLogic or JBoss
· Experience using Angular, Micro Services using Spring, jersey, Swagger
· Good knowledge of Backend and Front-end technologies
· Good knowledge of Core Java, J2EE, Ajax, Spring, Java Script, jQuery, HTML
· Good knowledge of any RDBMS database like SQL Server, Oracle, MySQL & Cluster set-up, performance benchmarking, client-side API evaluation, knowledge of various deployment strategies
· Strong knowledge with Core JAVA concepts – Exception handling, Multi-threading, Collection, String, OOPS etc…
· Advanced understanding of Windows and Linux based operating systems
· Mainly 3-4 months hands on with reverse engineering and old legacy solutions to new modern applications
· Working knowledge using REST, HTTP, TCP, SCTP protocols
· Hands-on with JAVA frameworks such as – Thread Pool Executor, Object Pooling, Logging (Log4j preferred), XML/JSON handling
Education Criteria:
· Preferred BE degree in CS, E&C, E&E
· Proficient being a J2EE Developer (courses or project done) and data analytics skills
· Flexible to work on any projects assigned
Note: Terms & Conditions
· This opportunity will be work from office
· Reporting location - Bangalore office, Vijayanagar
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
What we need from you
- You will bring very strong consulting skills, are customer focused and know how to navigate through tough project situations
- You are highly motivated, creative in your approach to technical problems and love all things about Data!
- You spend a significant amount of time to keep your technical skills updated and are constantly looking for the next big data challenge
- You will be a key contributor to our growth and our customer’s success
- You will bring both broad and deep knowledge in Efficient Java (JSP, Servlet) Developer and going forward build the ability to architect a solution by mapping a customer business challenges
- You are resourceful and confident under pressure
- Willingness to travel as needed to customer sites
Competencies:
- Relevant experience on using tools like JSP, Servlet for web applications
- MVC frame works - Struts or Spring
- Web services- SOAP and REST WebLogic, Hibernate
- Middleware technologies MQ OSB.
- Web/App Servers: Tomcat or WebLogic or JBoss
- Experience using Angular, Micro Services using Spring, jersey, Swagger
- Good knowledge of Backend and Front-end technologies
- Good knowledge of Core Java, J2EE, Ajax, Spring, Java Script, jQuery, HTML
- Good knowledge of any RDBMS database like SQL Server, Oracle, MySQL & Cluster set-up, performance benchmarking, client-side API evaluation, knowledge of various deployment strategies
- Strong knowledge with Core JAVA concepts – Exception handling, Multi-threading, Collection, String, OOPS etc…
- Advanced understanding of Windows and Linux based operating systems
- Mainly 3-4 months hands on with reverse engineering and old legacy solutions to new modern applications
- Working knowledge using REST, HTTP, TCP, SCTP protocols
- Hands-on with JAVA frameworks such as – Thread Pool Executor, Object Pooling, Logging (Log4j preferred), XML/JSON handling
Education Criteria:
- Preferred BE degree in CS, E&C, E&E
- Proficient being a J2EE Developer (courses or project done) and data analytics skills
- Flexible to work on any projects assigned
Note: Terms & Conditions
- This opportunity will be work from office
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About the company
Quantiphi is an award-winning AI-first digital engineering company driven by the desire to reimagine and realize transformational opportunities at the heart of the business. Since its inception in 2013, Quantiphi has solved the toughest and most complex business problems by combining deep industry experience, disciplined cloud, and data-engineering practices, and cutting-edge artificial intelligence research to achieve accelerated and quantifiable business results.
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