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Cloud Engineer - INTL India
- Insight Global (Dunwoody, GA)
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Job Description
Compensation:
14-20 LPA - Exact compensation may vary based on several factors, including skills, experience, and education.
We are looking for a Cloud Engineer to support cloud infrastructure and tooling in a GCP environment. This role is remote and ongoing, with a focus on deployment, monitoring, and troubleshooting.
Responsibilities:
Deploy, monitor, and troubleshoot applications in GCP (Google Cloud Platform)
Support tooling used by data pipeline teams
Write code in Python or Go to support cloud services
Provide overnight support and resolve issues independently
Collaborate with offshore teams and other vendors
Use AI tools effectively to solve problems and optimize workflows
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [email protected] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Skills and Requirements
Hands-on experience with GCP (preferred) or AWS
Skills in deploying, monitoring, and troubleshooting cloud applications
Ability to write code in Python or Go
Strong troubleshooting skills without needing team assistance
Comfortable with overnight support
Familiarity with enterprise data warehouse (EDW) environments
Comfortable using AI tools for problem-solving SQL knowledge (not required if cloud skills are strong)
Experience supporting cloud services for data tooling
Offshore collaboration experience
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