Infrastructure Engineer II - Managed File Transfer

JPMorgan Chase & Co.

Columbus (OH)

On-site

USD 80,000 - 110,000

Full time

14 days+

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Job summary

JPMorgan Chase & Co. in Columbus, Ohio is seeking an experienced Infrastructure Engineer II to join its Infrastructure Platforms organization. In this role, you will apply your software engineering expertise to support infrastructure solutions, ensuring effective performance and adherence to security standards.

Ideal candidates will have at least 2 years of applied experience in a corporate setting, proficient in languages such as Python and Java, and a solid understanding of AI capabilities. The position also requires knowledge of risk and control landscapes to maintain company standards.

Qualifications

  • 2+ years of experience in software development and debugging in a corporate environment.
  • Familiarity with enterprise AI capabilities and their application in infrastructure workflows.
  • Proficient in risk and control protocols in line with company standards.

Responsibilities

  • Test infrastructure performance and ensure requirements are met.
  • Utilize AI tools for data analysis and documentation.
  • Analyze monitoring data and oversee task completion.

Skills

Software engineering concepts
Python
Java
Shell
SQL

Tools

Linux
PERL Scripting

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, you develop 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.
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