DevOps Engineering,

Quest Global delivers world-class end-to-end engineering solutions by leveraging our deep industry knowledge and digital expertise. By bringing together technologies and industries, alongside the contributions of diverse individuals and their areas of expertise, we are able to solve problems better, faster. This multi-dimensional approach enables us to solve the most critical and large-scale challenges across the aerospace & defense, automotive, energy, hi-tech, healthcare, medical devices, rail and semiconductor industries.
innovators, who are not only inspired by technology and innovation, but also perpetually driven to design, develop, and test as a trusted partner for Fortune 500 customers. DevOps Engineer will be responsible to build, manage, and automate our Workforce Experience Platform infrastructure. You will be working with engineering teams and focusing on AWS infrastructure and automation. Design and Write code to automate repetitive tasks, such as provisioning new servers or managing configurations.

• Monitoring and Observability : They set up monitoring systems, track key metrics, and respond proactively to anomalies.
• Capacity Planning : analyze system capacity, predict resource needs, and optimize infrastructure.
• Deployment and Release Management : Deployment, automation, management, configuration and maintenance of AWS cloud-based production system.

• Experience as Devops for large cloud native applications
• Good understanding of Agile processes
• Experience in code development in at least one high-level programming language.
• System Administration: Familiarity with Operating Systems and networking.
• Cloud Platforms: Extensive experience on AWS platform - EC2, EKS, S3, RDS, IAM, CloudFront, CloudWatch, SNS/SQS, Kubernetis, ElastiCache, Lambda, AWS IOT, Kinesis. Experience with multi-tier architectures: load balancers, caching, web servers, application servers, databases, and networking.
• Monitoring Tools: Knowledge of monitoring and observability tools : Grafana and Splunk.
• Automation: should be comfortable with infrastructure-as-code (e.g., Deployments Know-How : CI/CD, pods management, Sonar Q, Git, etc
• Some experience on Gen-AI and other AI related capabilities to enhance monitoring tools.

• AWS Cloud
• Azure/GCP cloud
• Compensation decisions are made based on factors including experience, skills, education, and other job-related factors, in accordance with our internal pay structure. We also offer a comprehensive benefits package, including health insurance, paid time off, and retirement plan.

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