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

Mandatory Skills required : AWS/Azure Infrastructure, MLOps, Kibana, Datadog, AI Literacy, DevOps, CI/CD, Azure, AWS, Python, AWS Glue