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Cloud DevOps & Data Platform Engineer

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Abotts

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Location:
India , Mangalore

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

We are seeking a highly skilled Cloud DevOps & Data Platform Engineer with strong expertise in DevOps, cloud platforms, data analytics, and database systems. This role will be responsible for building, automating, monitoring, and optimizing cloud-based infrastructure and data platforms while supporting business intelligence and data-driven decision-making.

Job Responsibility:

  • Design, implement, and maintain CI/CD pipelines and cloud infrastructure using DevOps best practices
  • Manage and optimize GCP cloud services, ensuring high availability, scalability, and cost efficiency
  • Develop, deploy, and monitor applications and services on Linux-based systems
  • Support and enhance Power BI dashboards, datasets, and data models for business reporting
  • Write, optimize, and maintain PL/SQL queries, procedures, and database objects
  • Perform database administration tasks related to DBMS performance, tuning, and reliability
  • Develop automation scripts and utilities using Python for infrastructure and data workflows
  • Implement monitoring, logging, and alerting for infrastructure and applications
  • Ensure security, access control, and compliance across cloud and data platforms
  • Collaborate with engineering, analytics, and business teams to deliver scalable solutions

Requirements:

  • Strong experience in DevOps tools and practices (CI/CD, automation, monitoring)
  • Hands-on experience with Google Cloud Platform (GCP)
  • Proficiency in Linux system administration
  • Solid expertise in Power BI (reports, dashboards, DAX, data modeling)
  • Strong knowledge of PL/SQL and relational DBMS concepts
  • Experience with Python scripting for automation and data processing
  • Understanding of cloud security, IAM, and networking concepts
  • Experience working in Agile / DevOps environments
  • 3+ Year Experience
  • Availability for night shifts as needed to support global teams
  • Flexible to work during us time to support customers
  • Flexibility in working hours and the ability to adapt to varying schedules is essential

Nice to have:

  • Experience with containerization and orchestration (Docker, Kubernetes)
  • Exposure to data pipelines and ETL processes
  • Familiarity with infrastructure-as-code tools (Terraform, Deployment Manager)

Additional Information:

Job Posted:
February 07, 2026

Employment Type:
Fulltime
Work Type:
Remote work
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