Cloud DevOps & Data Platform Engineer

Abotts Inc; Mangaluru; On-site; INR 1,000,000 - 1,500,000; Full time

Job summary

A leading technology firm in Karnataka, Mangaluru is seeking a highly skilled Cloud DevOps & Data Platform Engineer. The ideal candidate will have strong expertise in DevOps, cloud platforms, and database systems, responsible for building and optimizing cloud infrastructure. Key responsibilities include designing CI/CD pipelines, managing GCP services, and developing automation scripts. Applicants must be flexible to work night shifts to support global teams. Competitive compensation offered.

Qualifications

• Strong experience in DevOps tools and practices
• Hands-on experience with Google Cloud Platform (GCP)
• Proficiency in Linux system administration
• 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

Responsibilities

• Design, implement, and maintain CI/CD pipelines and cloud infrastructure
• Manage and optimize GCP cloud services for high availability
• Develop and deploy applications on Linux-based systems
• Support and enhance Power BI dashboards for business reporting
• Write and maintain PL/SQL queries and database objects
• Perform database administration tasks related to DBMS performance
• Develop automation scripts using Python
• Implement monitoring and alerting for infrastructure and applications
• Ensure security and compliance across cloud platforms
• Collaborate to deliver scalable solutions

Skills

DevOps tools and practices

Google Cloud Platform (GCP)

Linux system administration

PL/SQL and relational DBMS concepts

Python scripting

Cloud security and IAM concepts

Agile / DevOps environments

Tools

Docker

Kubernetes

Terraform

Job description

Abotts Partners with Singapore based tech giant to help migrate their public sector customer from Sybase to SQL server.

Abotts partners with NYPL to integrate with their partner libraries.

ABOTTS partners with County in Los Angeles to upgrade their court infrastructure into new technologies.

Upworks Inc partners with ABOTTS to build their Oracle Cloud Infrastructure (OCI) and migrate their custom applications to OCI.

Abotts partners with startup to manage and maintain their IT infrastructure and support SOC2 reporting.

Abotts Inc Partners with Gnorth consulting to deploy exadata and ODA for a large public sector customer.

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.

Key Responsibilities

• 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

Required Skills & Qualifications

• Strong experience in DevOps tools and practices (CI/CD, automation, monitoring)
• Hands-on experience with Google Cloud Platform (GCP)
• Proficiency in Linux system administration
• 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

Preferred Qualifications

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

American Shift Requirements

• This role requires availability for night shifts as needed to support global teams and ensure system maintenance during off-peak hours.
• Flexible to work during US time to support customers
• Flexibility in working hours and the ability to adapt to varying schedules is essential.

Note

This job description is intended to convey information essential to understanding the scope of the role and is not exhaustive. Duties may be altered as per business needs.