DevOps Engineer

Overview Of Position As a SRE/DevOps Engineer, you will play a key role in setting up the Infra, CI/CD and supporting different key project used throughout globally. As a member of our geographically distributed development team your communication and analytical skills are essential to the role. Key Responsibilities · Design cloud infrastructure that is secure, scalable, and highly available on AWS/Azure · Work collaboratively with software engineering to define infrastructure and deployment requirements · Provision, configure and maintain AWS cloud infrastructure defined as code. · Containerization using Docker and Kubernetes · Troubleshoot problems across a wide array of services and functional areas · Build and maintain operational tools for deployment, monitoring, and analysis of AWS infrastructure and systems · Perform infrastructure cost analysis and optimization. · Develop self-healing and automated remediation mechanisms using AI/ML techniques · Integrate AI/LLM capabilities into DevOps workflows (e.g., log analysis, automated RCA, deployment insights) · Enhance monitoring strategy by leveraging intelligent alerting, noise reduction, and pattern-based anomaly detection across logs, metrics, and traces. · Build and manage MLOps pipelines for model training, deployment, and continuous improvement. · Collaborate with a global team of engineers in a highly agile DevOps environment, focused on efficient operation of daily activities, developer productivity and continuous improvement of the framework. · Responsible for the development, implementation, and maintenance of CI/CD frameworks, and tools development to support hybrid environment (Cloud, On premise) with a vison to achieve CI/CD objectives for large-scale integration of systems in order to reduce manual build and deploy efforts. · Work with geographically dispersed teams including multi-vendor into Scrum teams to meet CI/CD Required Knowledge & Skills · At least 6-8 years of experience building and maintaining AWS infrastructure (VPC, EC2, Security Groups, IAM, ECS/EKS, CloudFront, S3, RDS, SQS, SNS, Lambda Function, Batch jobs, AWS Glue) · Strong understanding of how to secure AWS environments and meet compliance requirements · Hands-on experience deploying and managing infrastructure with Terraform Enterprise. · Hands-on experience or working knowledge of LLMs (OpenAI, Azure OpenAI, Claude etc.) · Understanding of LLMOps concepts (prompt management, model evaluation, versioning, fine-tuning lifecycle) · Experience with MLOps tools such as MLflow, SageMaker, Kubeflow or equivalent. · Familiarity with AIOps platforms/tools for intelligent monitoring and incident management. · Ability to apply AI techniques to improve deployment speed, reliability, and monitoring effectiveness. · Strong experience working on windows & Linux based environments. · Experience with Docker, GitHub, Jenkins, Azure DevOps, ELK and deploying applications on AWS. · Good command on scripting languages like Python, Bash/Shell, Powershell etc · Knowledge in log analytics tools like Elastic search and Kibana. · Knowledge of Cloud Migration/Disaster Recovery/Blue Green Deployment implementation. · Good understanding about monitoring the services and alerting using Cloudwatch, Datadog, Prometheus or Azure monitor. · Good to hire a candidate with certification Personal Attributes · Very good communication skills. · Ability to easily fit into a distributed development team. · Customer service oriented. · Enthusiastic/High initiative. · Ability to manage timelines of multiple initiatives. · Very good attention to detail and the ability to always follow up.