Infrastructure Engineer II - Managed File Transfer

JPMorgan Chase & Co.; Columbus (OH); On-site; USD 90,000 - 130,000; Full time

Job summary

JPMorgan Chase & Co. in Columbus, OH seeks an Infrastructure Engineer II within the Infrastructure Platforms organization.

You will deepen knowledge of software, applications, and processes within the infrastructure engineering discipline, applying your proficiency to a defined scope. The role emphasizes testing, AI-assisted infrastructure analysis, and collaboration with the team to ensure system availability and security.

Qualifications

• Formal training or certification in software engineering concepts and 2+ years of applied experience.
• Experience debugging and maintaining code in a large corporate environment with modern programming languages and database querying languages.
• Knowledge of AI-enabled workflows with validation and data-sensitivity awareness.

Responsibilities

• Applies technical knowledge to assignments with a defined scope such as testing infrastructure performance and verifying requirements.
• Uses enterprise AI capabilities to accelerate infrastructure analysis and documentation while validating outputs.
• Drives results, analyzes monitoring data, and completes assignments.
• Performs day-to-day work with guidance within documented parameters.
• Escalates issues to appropriate leaders.
• Develops considerations for data and systems implications.
• Contributes to team culture of diversity, opportunity, inclusion, and respect.

Skills

Python

Java

Bash

Shell

SQL

Linux

Perl scripting

Data automation

AI-assisted validation

risk and controls

Tools

FTP/SFTP/FTPS/AS2

Job description

With your expertise in delivering infrastructure solutions, you are a top-performer in your field. Come on board as a highly appreciated member of a winning team.

As an Infrastructure Engineer II at JPMorganChase within the Infrastructure Platforms organization, youdevelop knowledge of software, applications, and technical processes within the infrastructure engineering discipline. Through this work you begin to apply your proficiency in a single application or technical methodology.

Job responsibilities

• Applies technical knowledge to assignments with a defined scope such as testing the performance of the infrastructure and understanding and verifying that requirements were successfully met.
• Uses enterprise-authorized AI capabilities within the work environment to accelerate infrastructure analysis and documentation (e.g., summarizing monitoring findings), validating outputs and handling data according to sensitivity and security requirements.
• Drives results, collects and analyzes monitoring data in test and production, and sees assignments through to completion.
• Carries out day to day work assignments with some guidance and within documented parameters.
• Escalates issues to appropriate leaders.
• Develops considerations for upstream/downstream data and systems or technical implications.
• Adds to team culture of diversity, opportunity, inclusion, and respect.

Required qualifications, capabilities, and skills

• Formal training or certification onsoftware engineeringconcepts and 2+ years applied experience.
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages.
• Working knowledge of using enterprise-authorized AI capabilities within the work environment to support infrastructure engineering workflows with strong validation habits and awareness of data sensitivity.
• Ability to review and validate AI-assisted recommendations before use, escalating when uncertain and following security and data handling expectations.
• Understanding of cloud, virtualization, APIs, and software languages such as Python, Java, Bash, Shell.
• Proficient knowledge of risk and controls landscape, ensuring company-wide standards are met.
• Experience with configuring and troubleshooting file transfer protocols, ciphers, and encryption (FTP, SFTP, FTPS, AS2).
• Experience in Production Support, testing and debugging of automated tasks (Apps, Systems, Infrastructure).
• Experience with developing frameworks that reduce operational toil or application technical debt while maintaining a high degree of system availability.
• Knowledge of Linux, Shell scripting, PERL Scripting, and SQL.
• Basic data fluency and automation knowledge.

Preferred qualifications, capabilities, and skills

• Broad technology across multiple domains.
• Hands-on experience in incident management or production support environment.
• Familiarity with site reliability concepts, principles, and practices.
• Experience working in the financial services industry supporting mission critical applications.