As an Software 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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