Assistant Manager at EXL – Pune | Jobyssey

Shift Coverage: 06:00 AM – 03:00 PM or 03:00 PM – 12:00 AM

Experience: 3-5 years

Location: Pune (Hybrid) Preferrable or All EXL Location

Roles & Responsibilities

Develop, maintain, and modify Terraform code for AWS infrastructure and services.
Build and support CI/CD pipelines using Jenkins and AWS CodePipeline.
Manage application and infrastructure deployments across environments.
Provide L2 production support, including monitoring, incident management, troubleshooting, and root cause analysis.
Resolve production issues and make required code changes in supporting services.
Monitor application and infrastructure health using CloudWatch, Dynatrace, and Splunk.
Support the hybrid deployment model where applications run on AWS while execution remains on the Mastercard side.
Provide support during the assigned shift to cover Vancouver and US business hours.

Must-Have Skills

Strong hands-on experience with DevOps and CI/CD tools, including Terraform, Jenkins, and AWS CodePipeline, with the ability to create and modify infrastructure code.
Hands-on experience with AWS services, including Amazon API Gateway, Amazon EKS, Amazon RDS, Amazon EC2, Amazon ElastiCache, Amazon OpenSearch Service, Amazon S3, and Amazon VPC.
Experience with Amazon CloudWatch, Dynatrace, and Splunk for monitoring and observability.
Experience in production monitoring, deployment support, incident management, troubleshooting, and root cause analysis.

Develop, maintain, and modify Terraform code for AWS infrastructure and services.
Build and support CI/CD pipelines using Jenkins and AWS CodePipeline.
Manage application and infrastructure deployments across environments.
Provide L2 production support, including monitoring, incident management, troubleshooting, and root cause analysis.
Resolve production issues and make required code changes in supporting services.
Monitor application and infrastructure health using CloudWatch, Dynatrace, and Splunk.
Support the hybrid deployment model where applications run on AWS while execution remains on the Mastercard side.
Provide support during the assigned shift to cover Vancouver and US business hours.

Graduate in Computer Science, Data Science, or related field. 3-5 years of experience in data engineering or related field.

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