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Quest Global

Engineering services, digital transformation, asset management

DevOps Engineer

DevOps EngineeringUpdated on Nov 9
Full-timeChennai, Tamil Nadu, IndiaNo salary listedIn-person

About the Job

Requirements

  • A Bachelor's degree in Computer Science, Information Technology, or a related field is required.
  • A minimum of 3 years of experience in DevOps, Cloud Engineering, or Site Reliability Engineering is required.
  • Experience supporting enterprise applications in AWS production environments is required.
  • Expertise in AWS cloud services, Amazon ECS, Amazon EKS, Application Load Balancer, Auto Scaling, AWS EMR, Docker, Kubernetes, GitHub Actions, CI/CD pipeline implementation, YAML configuration, Bash/Shell scripting, Python, infrastructure management, DNS configuration, and disaster recovery planning is required.
  • Working knowledge of Azure Cloud is required.

Responsibilities

  • Design, deploy, and manage scalable AWS infrastructure following cloud best practices.
  • Manage and support production workloads across AWS environments.
  • Configure and maintain Application Load Balancers, Auto Scaling Groups, ECS, EKS, VPCs, IAM, Route 53, and other AWS services.
  • Implement and maintain disaster recovery strategies for critical business applications.
  • Configure DNS mapping and domain routing for enterprise applications.
  • Monitor infrastructure health, availability, and performance.
  • Build, deploy, and manage containerized applications using Docker and Kubernetes.
  • Create and optimize Dockerfiles for Java (Spring Boot), Python, and .NET applications.
  • Manage container orchestration using Amazon ECS and Amazon EKS.
  • Ensure high availability, scalability, and reliability of containerized workloads.
  • Design, implement, and maintain CI/CD pipelines using GitHub Actions.
  • Automate application deployments and infrastructure provisioning.
  • Develop automation scripts using Bash/Shell and Python.
  • Manage YAML-based deployment configurations and Infrastructure-as-Code practices.
  • Deploy, configure, and manage AWS EMR clusters for big data and analytics workloads.
  • Optimize cluster performance and ensure operational stability.
  • Integrate Generative AI and AI-powered solutions into DevOps workflows.
  • Use AI for deployment automation, incident management, log analysis, root cause analysis, and operational intelligence.
  • Collaborate with Data Science and Engineering teams to deploy and scale AI-driven applications.
  • Investigate and resolve application deployment issues, infrastructure failures, and container runtime problems.
  • Perform root cause analysis and implement preventive solutions.
  • Ensure system availability, security, and compliance across cloud environments.

About the Company

Quest Global

Engineering services, digital transformation, asset management

QuEST Global provides engineering and lifecycle services across aerospace, automotive, energy, healthcare, and transportation, focusing on digital transformation and asset management. It uses edge computing, cloud, AI/ML, and industrial IoT to deliver tailored engineering solutions through long-term partnerships, service contracts, project-based engagements, and strategic collaborations. It differentiates itself with a broad industry footprint, global delivery model, and emphasis on partnerships, talent development, and workplace culture. Its goal is to help clients improve operational efficiency and drive business growth by transforming engineering processes and assets with digital tools and data-driven management.

Company size
10,001+
Company stage
Growth Equity (Venture Capital)
Total funding
$581M
Headquarters
Greenville, SC
Founded
1997

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