Glue

JPMorganChase•Plano, TX

19h

About The Position

As a Software Engineer III at JPMorganChase within Consumer & Community Banking – Consumer & Community Banking Administration, you will serve as a seasoned member of an agile team designing and delivering secure, stable, and scalable technology products. You will develop critical technology solutions across multiple technical areas in support of the firm’s business objectives. The role involves designing, developing, testing, and troubleshooting software; producing architecture and design artifacts; working with large and diverse data sets; and maintaining production systems. You will also use enterprise-authorized AI-assisted engineering tools and automation capabilities, validating their outputs against secure coding standards, peer review, and automated testing. The position includes contributing to team engineering practices and resolving production issues in enterprise, multi-environment settings using observability tools.

Requirements

Formal training or certification in software engineering concepts and at least 3 years of applied experience.
Hands-on experience in system design, application development, testing, and operational stability.
Experience developing, debugging, and maintaining code in a large corporate environment using one or more modern programming and database-query languages.
Hands-on experience with enterprise-authorized AI-assisted software development tools, including the ability to evaluate, validate, and refine generated outputs for correctness, performance, and security.
Understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs and outputs, resiliency, and security expectations; ability to guide peers in safe and effective practices.
Proficiency in Python or Java.
Proficiency with private and public cloud platforms, including Pivotal Cloud and AWS.
In-depth knowledge of AWS ECS, S3, SQS, SNS, Lambda, Glue, PySpark, and CloudWatch.
Experience with SRE and observability tools such as Splunk, Dynatrace, and Datadog.
Proficiency with Oracle, DB2, and AWS Aurora PostgreSQL databases.
Hands-on SQL writing experience.
Hands-on experience with software development and CI/CD tools, including Jenkins, Spinnaker, IntelliJ, and Bitbucket.
Hands-on experience with infrastructure as code using Terraform.
Solid understanding of agile methodologies, CI/CD, application resiliency, and security.
Demonstrated knowledge of software applications and technical processes within a technical discipline such as cloud, artificial intelligence, machine learning, or mobile.

Nice To Haves

Overall knowledge of the Software Development Life Cycle.
Familiarity with modern front-end technologies.
Experience in data pipeline design and development.
Experience in cloud migration projects.

Responsibilities

Design, develop, and troubleshoot software solutions, including complex technical problems.
Create secure, high-quality production code and maintain algorithms that work with appropriate systems.
Use enterprise-authorized AI coding assistance and automation tools to improve code quality, delivery speed, and productivity; validate outputs through peer review, automated testing, and secure coding standards.
Contribute learnings and reusable patterns to improve broader team effectiveness and drive adoption of responsible AI-assisted engineering practices.
Produce architecture and design artifacts for complex applications and ensure software development meets design constraints.
Gather, analyze, synthesize, and visualize data from large, diverse data sets to support continuous improvement of software applications and systems.
Identify hidden problems and patterns in data and use insights to improve coding hygiene and system architecture.
Contribute to software engineering communities of practice and events exploring emerging technologies.
Troubleshoot and resolve production issues in enterprise, multi-environment settings using observability tools.

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