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 adecuado 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.
Requisitos
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:
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📌 Aws Engineer (Quilmes)
🏢 Accenture
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