Lead AWS Cloud & Data Platform Engineer

BairesDev; Quilmes; Remote; ARS 184,482,000 - 276,723,000; Full time

Job summary

JPMorgan Chase is seeking an experienced Infrastructure engineer to join its Market Data Services team. The Lead Engineer will deliver third party data via cloud-based Data Platforms for business use across JPMorgan, including AI/ML initiatives, and will work in an Agile, two-week sprint environment with cross-functional teams.

Key responsibilities include building AWS EKS environments, setting up monitoring, and performing ETL from third parties into AWS databases while aligning data solutions

Qualifications

• Strong hands-on expertise with AWS EKS and Terraform for building and maintaining clusters.
• Experience with build pipelines Jenkins and Spinnaker.
• Deep familiarity with Docker containerizing applications.
• Experience with AWS Lambda, AWS Neptune, AWS Glue.
• Proficient in SQL for Oracle and No-SQL DSL for ElasticSearch.
• Experience working in Agile teams.
• Excellent communication and stakeholder management skills.
• Datadog, Cloudwatch or Dynatrace experience.

Responsibilities

• Building and maintaining AWS EKS Environments.
• Configure monitoring for cloud environments.
• Extract Transform Load data from Third Parties into AWS Databases.
• Collaborate with product owners and stakeholders to ensure data solutions align with business and regulatory requirements.
• Manage the risk profile of Market Data applications in line with Cyber Security Control Procedures.
• Actively participate in Agile ceremonies and two-week sprint cycles.

Tools

AWS EKS

Terraform

Jenkins

Spinnaker

Docker

AWS Lambda

AWS Neptune

AWS Glue

SQL (Oracle)

Elasticsearch DSL

Datadog

CloudWatch

Dynatrace

Job description

JPMorgan Chase is seeking an experienced Infrastructure engineer to join its Market Data Services team. The Lead Engineer will deliver third party data via cloud-based Data Platforms for business use across JPMorgan, including AI/ML initiatives, and will work in an Agile, two-week sprint environment with cross-functional teams.

Key responsibilities include building AWS EKS environments, setting up monitoring, and performing ETL from third parties into AWS databases while aligning data solutions