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Salary
≈ $11k – $32k per year (Estimated)
Location
In office (Hyderabad)
Seniority
Middle · 3+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 20, 2026. First seen by Alion on Jun 16, 2026.

Overview
Company
Impact
Profile match
Automate end-to-end business process automation with mavQ. Our AI document processing software and intelligent task prioritization systems optimize enterprise operations.

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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