Job Description

JOB DESCRIPTION

Empowering projects with innovative technical solutions, our team excels in optimizing data and systems at scale while ensuring seamless application monitoring. We foster a culture of diversity, equity, inclusion, and respect, driving impactful decisions across multifaceted technologies


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 Identify risks and impact to applications from Infrastructure outages Making significant decisions for a project consisting of multiple technologies and applications Adds to team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 3+ years 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, 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 using monitoring solutions like CloudWatch, Prometheus, Datadog Experience 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.

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