Infrastructure Engineer III- Python AWS Terraform

Job Description
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 Employee Platforms team, you will leverage your expertise in software, applications, and technical processes to contribute to the infrastructure engineering discipline. You will apply your technical knowledge and problem-solving skills across various applications of moderate scope, ensuring effective solutions and improvements.
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
• Drives the daily activities supporting the standard capacity process applications
• Partners with application and infrastructure teams to identify potential capacity risks and govern remediation statuses
• Considers upstream/downstream data and systems or technical implications
• Be accountable for making significant decisions for a project consisting of multiple technologies and applications
• Quickly develops proof-of-concepts and scale them into large solutions.
• Adds to team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on infrastructure disciplines concepts and 3+ years applied experience
• Expertise in modern programming languages such as Python or Java.
• Proficient in Infrastructure as Code using Terraform.
• Ability to design, architect, and implement applications on public cloud platforms, specifically AWS.
• Hands-on experience with AWS services including IAM, Lex, Lambda, KMS (Data Security), S3, and Kinesis.
• Proficient in using CI/CD tools like Jenkins or Jules, and version control tools such as Git or Bitbucket.
• Drives to develop infrastructure engineering knowledge of additional domains, data fluency, and automation knowledge
• Experience in debugging, maintaining, monitoring, and providing production support in large environments using tools like Splunk, Datadog, and CloudWatch.
• Experience with container orchestration and deployment in AWS Cloud.
• Experience in building and supporting RESTful APIs.

Preferred qualifications, capabilities, and skills

• AWS certification is highly desirable
• Eagerness to expand knowledge in infrastructure engineering, data fluency, and automation
• Knowledge of voice technologies (WebRTC), Amazon Connect, call recording, and telephony platforms is a significant advantage.