DEVOPS ENGINEER L4

Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With nearly 245,000 employees and business partners across 65 countries, we deliver on the promise of helping our clients, colleagues, and communities thrive in an ever-changing world. Wipro is an Equal Employment Opportunity employer and makes all employment and employment-related decisions without regard to a person's race, sex, national origin, ancestry, disability, sexual orientation, or any other status protected by applicable law.

 Website

http://www.wipro.com

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