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JPMorgan Chase in Argentina is seeking a Senior DevOps Engineer to lead infrastructure automation and cloud-first platforms. You will own scalable AWS infrastructure, containerized workloads, and secure CI/CD pipelines in a fast-paced environment.
You will collaborate with cross-functional teams, implement monitoring, and optimize costs while ensuring high availability and low latency across mission-critical systems.
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
Actively participate in Agile ceremonies and two‑week sprint cycles.
Required qualifications, skills, and capabilities
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.
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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