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mavQ

DevOps Engineer

Reposted 27 Days Ago
In-Office
Hyderabad, Telangana, IND
Mid level
In-Office
Hyderabad, Telangana, IND
Mid level
Build and automate infrastructure, CI/CD, and developer tools across multi-cloud (GCP and AWS). Implement containerization (Kubernetes, Docker/DIND), Terraform automation, logging/monitoring, IAM, and support teams debugging DevOps issues for scalable, secure microservices.
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About Us:

mavQ is an innovative AI company that provides intelligent business automation solutions, empowering organizations with AI-driven tools to streamline operations, enhance efficiency, and accelerate digital transformation. Headquartered in the U.S., with offices in India, mavQ simplifies complex workflows, automates document processing, and delivers actionable insights. Scalable and customizable, mavQ enables organizations to optimize processes, reduce manual effort, and achieve their business goals with ease.

Job Title: DevOps Engineer
Work Location: Hyderabad, India



Requirements
What You'll Do

● Develop and manage tools and services to be used by the organization and by external users of the platform.
● Automate all operational and repetitive tasks to improve efficiency and productivity of all development teams.
● Research and propose new solutions to improve the mavQ platform in aspects of speed, scalability, and security.
● Automate and manage the cloud infrastructure of the organization distributed across the globe and across multiple cloud providers such as Google Cloud and AWS.
● Ensure thorough logging, monitoring, and alerting for all services and code running in the organization.
● Work with development teams on communications and protocols for distributed microservices.
● Help development teams debug DevOps related issues.
● Manage CI/CD, Source Control and IAM for the organization.

Who You Are:

● Bachelor’s Degree or equivalent.
● 3-5 years of experience as a DevOps Engineer
● Hands-on experience with Kubernetes and containerization
● Hands-on knowledge of Terraform
● Hands-on knowledge of Python, Shell scripting, or similar automation tools
● Hands-on knowledge of Docker and Docker-in-Docker (DIND)

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