Lead Cloud Data Engineer - AWS EKS

Miratech; Quilmes; On-site; ARS 1,800,000 - 3,000,000; Full time

Job summary

JPMorgan Chase is seeking an experienced Infrastructure engineer to join the Market Data Services team. You will lead cloud-based data platforms, delivering third-party data for business use across the firm, including AI/ML.

The role operates in an Agile environment with two-week sprints and close collaboration with cross-functional teams. The ideal candidate will have hands-on AWS EKS and Terraform expertise, strong Docker skills, and experience with data pipelines and cloud monitoring.

Qualifications

• Proficient with AWS EKS and Terraform for clusters.
• Experience with build pipelines Jenkins and Spinnaker.
• Familiar with Docker containerization.
• Experience with AWS Lambda, Neptune, Glue.
• Proficient in SQL for Oracle and NoSQL 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.

Skills

Communication

Stakeholder management

Agile

Tools

AWS EKS

Terraform

Jenkins

Spinnaker

Docker

AWS Lambda

AWS Neptune

AWS Glue

SQL (Oracle)

NoSQL (Elasticsearch)

Datadog

CloudWatch

Dynatrace

S3

Karpenter

Kustomize

Istio

Job description

JPMorgan Chase is seeking an experienced Infrastructure engineer to join the Market Data Services team. You will lead cloud-based data platforms, delivering third-party data for business use across the firm, including AI/ML.

The role operates in an Agile environment with two-week sprints and close collaboration with cross-functional teams. The ideal candidate will have hands-on AWS EKS and Terraform expertise, strong Docker skills, and experience with data pipelines and cloud monitoring.