You belong to the top echelon of talent in your field. At one of the world's most iconic financial institutions, where infrastructure is of paramount importance, you can play a pivotal role.

 

As an Infrastructure Engineer III at JPMorgan Chase within the Consumer and Community Banking, you utilize strong knowledge of software, applications, and technical processes within the infrastructure engineering discipline. Apply your technical knowledge and problem-solving methodologies across multiple applications of moderate scope.

 

Job responsibilities

 

Applies technical knowledge and problem-solving methodologies to projects of moderate scope, with a focus on improving the data and systems running at scale, and ensures end to end monitoring of applications Resolves most nuances and determines appropriate escalation path Executes conventional approaches to build or break down technical problems Partners with application and infrastructure teams to identify potential  risks and govern remediation statuses Considers upstream/downstream data and systems or technical implications Adds to team culture of diversity, equity, inclusion, and respect

 

Required qualifications, capabilities, and skills

 

Formal training or certification on software engineering concepts and 5+ years applied experience A deep understanding of business technology drivers and their impact on architecture design, performance and monitoring, best practices experience/knowledge building or supporting web environments on AWS, which includes working with services like EC2, ELB, RDS, and S3 Experience using DevOps tools in a cloud environment, such as Ansible, Artifactory, Docker, GitHub, Jenkins, Kubernetes, Maven, and Sonar Qube 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 tools like CloudFormation or Terraform Experience with one or more public cloud platforms like AWS, GCP, Azure  Experience with one or more automation tools like Terraform, Puppet, Ansible Strong knowledge of one or more infrastructure disciplines such as hardware, networking terminology, databases, storage engineering, deployment practices, integration, automation, scaling, resilience, and performance assessments Strong knowledge of one or more scripting languages (e.g., Scripting, Python, etc.)

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.