Java Engineer(Cloud)

Sunnyvale, CA Sunnyvale CA 94089

Date : May-10-20

Java Engineer(Cloud)

Sunnyvale, CA

May-10-20

Work Authorization

US Citizen
GC
H1B
L2 EAD, H4 EAD, TN EAD

Preferred Employment

Corp-Corp
W2-Permanent
W2-Contract
1099-Contract
Contract to Hire

Job Details

Experience

:

Architect, Senior

Rate/Salary ($)

:

Market

Duration

:

2 Years

Sp. Area

:

Java, J2EE, Java Full Stack

Sp. Skills

:

Java, J2EE, Core Java

Consulting / Contract

Required Skills :

JAVA, SAN, OpenStack, Public cloud, AWS, Azure, GCP, Google Cloud, Google Cloud Platform

Preferred Skills :

Domain :

IT/Software, Financial, Government, HealthCare, Retail, Dot Com, Insurance, Pharmaceuticals, Manufacturing, Telecom

Work Authorization

US Citizen
GC
L2 EAD, H4 EAD, TN EAD
H1B

Preferred Employment

Corp-Corp
W2-Permanent
W2-Contract
1099-Contract
Contract to Hire

Job Details

Experience

:

Architect, Senior

Rate/Salary ($)

:

Market

Duration

:

2 Years

Sp. Area

:

Java, J2EE, Java Full Stack

Sp. Skills

:

Java, J2EE, Core Java

Consulting / Contract

Required Skills :

JAVA, SAN, OpenStack, Public cloud, AWS, Azure, GCP, Google Cloud, Google Cloud Platform

Preferred Skills :

Domain : IT/Software, Financial, Government, HealthCare, Retail, Dot Com, Insurance, Pharmaceuticals, Manufacturing, Telecom

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Cloudious LLC
San Jose, CA
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Job Description :

Hi, Cloudious LLC is one of the fastest emerging IT Solutions and Services company headquartered in San Jose, CA with their global offices in Canada and APAC

Job Title:- Java Engineer(Cloud)
Work Location:- San Jose CA
Job Type:- Long Term Contract

JD:
6+ years of relevant experience
Hands on experience in Public cloud and or Openstack private cloud.
Working knowledge of cloud and container technologies
Development experience on JAVA
Hands on experience on developing monitoring, alerting tools/automations
Experience working on distributed systems
Understanding and troubleshooting of Server hardware and Operating system installs.
Experience handling production workload, pressure and on-calls

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