DEVOPS ENGINEER L4

Job description:
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.
Mandatory Skills required : AWS/Azure Infrastructure, MLOps, Kibana, Datadog, AI Literacy, DevOps, CI/CD, Azure, AWS, Python, AWS Glue
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:
4+ 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
Profile description:
Mandatory Skills required : AWS/Azure Infrastructure, MLOps, Kibana, Datadog, AI Literacy, DevOps, CI/CD, Azure, AWS, Python, AWS Glue

Work arrangement
Hybrid