DevOps Engineer

Job Requirements

At Quest Global, it’s not just what we do but how and why we do it that makes us different. With over 25 years as an engineering services provider, we believe in the power of doing things differently to make the impossible possible. Our people are driven by the desire to make the world a better place—to make a positive difference that contributes to a brighter future. We bring together technologies and industries, alongside the contributions of diverse individuals who are empowered by an intentional workplace culture, to solve problems better and faster

We are known for our extraordinary people who make the impossible possible every day. Questians are driven by hunger, humility, and aspiration. We believe that our company culture is the key to our ability to make a true difference in every industry we reach. Our teams regularly invest time and dedicated effort into internal culture work, ensuring that all voices are heard.

Job Summary
We are looking for a highly motivated DevOps Engineer with strong expertise in AWS
Cloud, containerization, Kubernetes, CI/CD automation, and cloud infrastructure
management. The ideal candidate will be responsible for designing, deploying,
automating, and maintaining scalable, secure, and highly available cloud environments
while supporting enterprise application deployments and operational excellence
initiatives.
The role requires hands-on experience in modern DevOps practices, cloud-native
technologies, infrastructure automation, disaster recovery planning, and AI-driven
operational improvements.

Key Responsibilities
Cloud Infrastructure & Operations
• 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 (ALB), Auto Scaling Groups,
ECS, EKS, VPCs, IAM, Route 53, and other AWS services.
• Implement and maintain Disaster Recovery (DR) strategies for critical business
applications.
• Configure DNS mapping and domain routing for enterprise applications.
• Monitor infrastructure health, availability, and performance.
Containerization & Kubernetes
• 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.
CI/CD & Automation
• 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.
Data & Big Data Platforms
• Deploy, configure, and manage AWS EMR clusters for big data and analytics
workloads.
• Optimize cluster performance and ensure operational stability.
AI & Modern DevOps
• Integrate Generative AI and AI-powered solutions into DevOps workflows.
• Utilize 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.
Troubleshooting & Support
• 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.

We wholeheartedly believe in the diversity of thought that comes with fostering a culture rooted in respect, where everyone belongs, is valued, and feels inspired to share their ideas. We know embracing our unique differences makes us better, and that solving the worlds hardest engineering problems requires diverse ideas, perspectives, and backgrounds. We shine the brightest when we tap into the many dimensions that thrive across over 21,000 difference-makers in our workplace.

Work Experience

Bachelor's Degree in Computer Science, Information Technology, or related field.
• Minimum 3 years of experience in DevOps, Cloud Engineering, or Site Reliability
Engineering.
• Experience supporting enterprise applications in AWS production environments.

Mandatory Skills
• AWS Cloud Services
• Amazon ECS
• Amazon EKS
• Application Load Balancer (ALB)
• Auto Scaling
• AWS EMR
• Docker
• Kubernetes
• GitHub Actions
• CI/CD Pipeline Implementation
• YAML Configuration
• Bash/Shell Scripting
• Python
• Infrastructure Management
• DNS Configuration
• Disaster Recovery Planning
• Azure Cloud (working knowledge)