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Senior Cloud Engineer (GCP) at Cognizant - Thailand

, , -

Full Time

Start Date

Immediate

Expiry Date

03 Feb, 26

Salary

130000.0

Posted On

05 Nov, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

GCP, GKE, Python, Pyspark, Github

Industry

IT Services and IT Consulting

Description

Role: Senior Cloud Engineer (GCP) Location: Remote Job Summary: · GCP cloud hands-on experience or any GCP professional certification · Ability to understand various data architectures and solution implementation · Application build experience with core GCP Services like Dataproc, GKE, Composer, · Deep understanding GCP IAM & Github · Data customers interaction and problem solving · Very good communication needed to interact with various stakeholders Optional skills: python, pyspark, Github Actions, GKE Mandatory Skills (Top 5 Keywords or skills) Skill Proficiency Years of Experience Basic Knowledge Medium Expert GCP 8+ Yes GKE yes Python,Pyspark yes Github yes Salary and Other Compensation: Applications will be accepted until 11/07/2025. The annual salary for this position is between $115,000- $130,000 depending on experience and other qualifications of the successful candidate. This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans. Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements: · Medical/Dental/Vision/Life Insurance · Paid holidays plus Paid Time Off · 401(k) plan and contributions · Long-term/Short-term Disability · Paid Parental Leave · Employee Stock Purchase Plan Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

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Responsibilities

The Senior Cloud Engineer will be responsible for hands-on experience with GCP and implementing various data architectures. The role requires interaction with data customers and problem-solving skills.