EXL

Analyzes business data and runs outsourced operations

Assistant Manager

DevOps EngineeringConfirmed live in the last 24 hours

Full-timePune, Maharashtra, IndiaNo salary listed

About the Job

Requirements

Strong hands-on experience with DevOps and CI/CD tools, including Terraform, Jenkins, and AWS CodePipeline, and 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.
Graduate in Computer Science, Data Science, or a related field.
Three to five years of experience in data engineering or a related field.

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.

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.

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

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.

About the Company

EXL

Analyzes business data and runs outsourced operations

EXL analyzes business data and runs outsourced operations for insurers, healthcare payers, banks, retailers, and other large organizations. Its teams combine industry expertise with data engineering and AI to handle tasks such as claims processing, payment reviews, customer service, and finance within existing technology environments. The company also builds software, including LifePRO, which manages insurance policies, and EXLdata.ai, which connects fragmented data for use in AI systems. Clients pay for consulting projects, ongoing managed services, and software delivered through the cloud. EXL was founded in 1999 and is headquartered in New York City.

Company size: 10,001+
Company stage: IPO
Headquarters: New York City, New York
Founded: 1999

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