Aws Cloud Engineer

Testing Site - Jpmc; Ciudad de Mendoza; On-site; ARS 1,800,000 - 3,000,000; Full time

Job summary

JPMorgan Chase in Mendoza, Argentina is seeking a Senior DevOps Engineer to drive AWS-based infrastructure, automation, and scalable data platforms supporting production systems 24/7. You will implement containerized workloads, Terraform modules, and CI/CD pipelines while ensuring security, reliability, and cost efficiency across distributed services.

The role requires strong expertise in EKS/Fargate, Terraform, CI/CD pipelines, and observability with Prometheus, Grafana, OpenSearch, and

Qualifications

• Strong hands-on experience 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

• Design, deploy, and maintain scalable, secure, highly available AWS infrastructure.
• Manage containerized workloads using ECS/Fargate, ALB/NLB, and autoscaling.
• Develop and maintain reusable Terraform modules and Jenkins/Groovy CI/CD pipelines.
• Operate and optimize streaming platforms, data infrastructure, and distributed systems.
• Implement monitoring, logging, alerting, and proactive incident resolution.
• Continuously optimize AWS costs through resource right-sizing and cost-conscious architecture.

Skills

AWS EKS

Terraform

Jenkins

Spinnaker

Docker

AWS Lambda

AWS Neptune

AWS Glue

SQL (Oracle)

NoSQL (Elasticsearch)

Agile

Datadog

CloudWatch

Python

Bash

Git

CI/CD

Kubernetes

Kafka (MSK)

Aerospike

EMR

Flink

Airflow

Athena

S3 Tables

Prometheus

Grafana

OpenSearch

Karpenter

Kustomize

Istio

Tools

Kafka MSK

Aerospike

EMR

Flink

Airflow

Athena

S3 Tables

Prometheus

Grafana

OpenSearch

CloudWatch

Datadog

Job description

We are seeking an experienced Infrastructure engineer to join our Market Data Services team, focusing on our high-impact Market Data Distribution program .

As a Lead Engineer at JPMorgan Chase within our Market Data Services team, you will play a pivotal role in delivering third party data, via cloud-based Data Platforms for business use across JPMorgan including AI/ML. You will be working within an Agile project environment, participating in two‑week sprint cycles, and collaborating closely with cross‑functional teams to deliver high‑quality solutions.

Key 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.

Required qualifications, skills, and capabilities

• 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

Preferred qualifications, skills, and capabilities

Any experience with S3, Karpenter, Kustomize and Istio will be favorable.

We are looking for a Senior DevOps Engineer with strong expertise in AWS, infrastructure automation, CI/CD, and managing high‑availability, high‑throughput, low‑latency production environments.

The ideal candidate will ensure infrastructure scalability, reliability, security, and cost efficiency while supporting mission‑critical systems operating 24/7.

Experience: 5+ years in DevOps, SRE, or Platform Engineering, supporting 24/7 production environments.

Advanced AWS: ECS/Fargate, ALB/NLB, Auto Scaling, VPC, Transit Gateway, Route 53, ACM, CloudFront, IAM, KMS, Secrets Manager, SSM, and CloudTrail across multiple AWS accounts.

Infrastructure as Code: Advanced Terraform expertise, including reusable versioned modules, S3 remote state, version pinning, and multi‑environment deployments (Dev, QA, Integration, Prod).

Containerization: Docker, Dockerfiles, ECR image management, base images, and ECS task definitions.

CI/CD: Jenkins, Groovy, Jenkinsfiles, shared libraries, Java/Maven builds, and Shift‑Left security practices.

Streaming & Data Infrastructure: Production experience with Kafka (AWS MSK), Aerospike, and Multi‑AZ architectures. Experience with EMR/EMR Serverless, Flink, Airflow, Athena, and S3 Tables.

Monitoring & Observability: Prometheus, Grafana, Graphite, CloudWatch, Fluent Bit, Logstash, OpenSearch, Slack, and SNS alerting.

Automation: Strong Python (boto3), Bash scripting, and AWS Lambda.

Security: Vulnerability management, system patching, credential protection, API key security, and least‑privilege access.

Tools & Collaboration: Git, Pull Requests, Jira, Confluence, and AI‑powered development tools.

Strong problem‑solving skills, independent work capabilities, proactive communication, and data‑driven decision‑making.

Job Description

We are looking for a Senior DevOps Engineer with strong expertise in AWS, infrastructure automation, CI/CD, and managing high‑availability, high‑throughput, low‑latency production environments.

The ideal candidate will ensure infrastructure scalability, reliability, security, and cost efficiency while supporting mission‑critical systems operating 24/7.

• Design, deploy, and maintain scalable, secure, highly available AWS infrastructure.
• Manage containerized workloads using ECS/Fargate, ALB/NLB, and autoscaling.
• Develop and maintain reusable Terraform modules and Jenkins/Groovy CI/CD pipelines.
• Operate and optimize streaming platforms, data infrastructure, and distributed systems.
• Implement monitoring, logging, alerting, and proactive incident resolution.
• Continuously optimize AWS costs through resource right‑sizing, waste reduction, and cost‑conscious architecture decisions.
• Automate operational processes using Python, Bash, and AWS Lambda.
• Strengthen infrastructure security, vulnerability management, and CI/CD security controls.
• Own infrastructure projects end‑to‑end, from design and deployment to documentation and ongoing support.
• Create clear technical documentation and step‑by‑step runbooks for first‑level support teams.
• Manage infrastructure changes through reviewed Pull Requests using a single main branch.
• Use performance metrics, operational data, and cost analysis to guide technical decisions and advise leadership.
• Leverage AI tools to improve productivity while maintaining code quality and review standards.

Any experience with S3, Karpenter, Kustomize and Istio will be favorable.

We are looking for a Senior DevOps Engineer with strong expertise in AWS, infrastructure automation, CI/CD, and managing high‑availability, high‑throughput, low‑latency production environments.

The ideal candidate will ensure infrastructure scalability, reliability, security, and cost efficiency while supporting mission‑critical systems operating 24/7.

Experience: 5+ years in DevOps, SRE, or Platform Engineering.

Advanced AWS: ECS/Fargate, ALB/NLB, Auto Scaling, VPC, Transit Gateway, Route 53, ACM, CloudFront, IAM, KMS, Secrets Manager, SSM, and CloudTrail across multiple AWS accounts.

Infrastructure as Code: Advanced Terraform expertise, including reusable versioned modules, S3 remote state, version pinning, and multi‑environment deployments.

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