Cloud Infrastructure Engineer III

JPMorgan Chase & Co.; Columbus (OH); On-site; USD 120,000 - 150,000; Full time

Job summary

JPMorgan Chase & Co. is seeking a Public Cloud Platform Engineer to guide application teams through cloud migration in a Global Technology setting. You will support maintenance, resolve production incidents, and collaborate across teams to improve resiliency and performance on AWS.

The role requires hands-on experience with AWS services, DevOps tools, IaC, and cloud-native architectures. Opportunities span global deployments and ongoing optimization of cloud platforms.

Qualifications

• Formal training or certification in software engineering concepts and 3+ years of applied experience.

Responsibilities

• Drive, support, and deliver on a strategy to operate and broadly adopt AWS-based public cloud services.
• Identify opportunities to improve resiliency, availability, security, and performance of public cloud platforms.
• Improve reliability and reduce time to resolve production incidents.
• Measure and optimize system performance toward better customer outcomes.
• Provide primary operational support and engineering for the public cloud platform.
• Collaborate with cross-functional teams to identify production risks and opportunities.
• Evaluate production readiness through resiliency exercises and game days.
• Utilize languages such as Java, Python, SQL, Node, Go, and Scala; manage containers with Docker and Kubernetes; leverage AWS tools.

Skills

AWS

DevOps tools

Python

Kubernetes

Terraform

CloudFormation

Monitoring

IaC

Public cloud platforms

Automation

Tools

Docker

GitHub

Jenkins

Maven

Ansible

Artifactory

Kubernetes

Terraform

CloudFormation

Job description

Job Description

We have an exciting and rewarding opportunity to take your software engineering career to the next level.

As a Public Cloud Platform Engineer at JPMorgan Chase within the Global Technology team, you will guide application teams on moving to public cloud, support maintenance, and assist in resolving production incidents that impact our customers, clients, and businesses around the globe.

Responsibilities

• Drive, support, and deliver on a strategy to operate and broadly adopt Amazon Web Services (e.g., AWS EC2, AWS S3, AWS RDS, AWS CloudFront, AWS EFS, CloudWatch, EKS).
• Identify opportunities to improve resiliency, availability, security, and performance of public cloud platforms using JPMorgan Chase best practices.
• Improve reliability, quality, and reduce time to resolve issues in production incidents on software applications.
• Measure and optimize system performance with an eye toward advancing capabilities, anticipating customer needs, and driving continuous improvement.
• Provide primary operational support and engineering for the public cloud platform.
• Debug and optimize systems and automate routine tasks.
• Collaborate with cross-functional teams to identify potential production risks and opportunities to improve user experiences at every interaction.
• Drive work streams to ensure applications meet strict non-functional requirements for public cloud onboarding.
• Evaluate production readiness through game days, resiliency tests, and chaos engineering exercises.
• Utilize programming languages such as Java, Python, SQL, Node, Go, and Scala; work with Open Source RDBMS and NoSQL databases; manage container orchestration with Docker and Kubernetes; and leverage a variety of AWS tools and services.
• Monitor metrics and program health, anticipate and clear blockers, and manage escalations.

Required qualifications, capabilities, and skills

• Formal training or certification in software engineering concepts and 3+ years of applied experience.
• A deep understanding of business technology drivers and their impact on architecture design, performance, and monitoring best practices.
• Experience/building or supporting web environments on AWS, including services like EC2, ELB, RDS, and S3.
• Experience using DevOps tools in a cloud environment, such as Ansible, Artifactory, Docker, GitHub, Jenkins, Kubernetes, Maven, etc.
• Experience across the SDLC process – design and/or development and/or support.
• Experience/Knowledge using monitoring solutions like CloudWatch, Prometheus, Datadog.
• Experience/Knowledge of writing Infrastructure-as-Code (IaC) using CloudFormation or Terraform.
• Experience with one or more public cloud platforms such as AWS, GCP, or Azure.
• Experience with automation of infrastructure tasks using Python or other languages.
• Knowledge of leveraging AI/LLM tools to enable self-service on diagnosing infrastructure errors/failures.

Preferred qualifications, capabilities, and skills

• A proactive approach to spotting problems, areas for improvement, and performance bottlenecks.
• SRE mindset / culture approaches to run better production systems by creating engineering solutions to operational problems.