About The Position

As a Software Engineer III at JPMorganChase within Infrastructure Platforms, you will serve as a seasoned member of an agile team, designing and delivering trusted, market-leading technology products in a secure, stable, and scalable way. You will carry out critical technology solutions across multiple technical areas and business functions in support of the firm’s business objectives. The role involves designing, developing, testing, and troubleshooting software; producing architecture and design artifacts for complex applications; and ensuring software code meets design constraints. You will use data analysis and visualizations to support continuous improvement, identify patterns and hidden problems, and improve coding practices and system architecture. You will also use enterprise-authorized AI-assisted development tools while validating generated outputs through review, testing, and secure coding practices, and contribute reusable learnings to improve team effectiveness.

Requirements

  • Formal training or certification in software engineering concepts and at least 3 years of applied experience.
  • Advanced proficiency in one or more programming languages and frameworks, such as Python and Django.
  • Practical experience in system design, application development, testing, and operational stability.
  • Experience developing, debugging, and maintaining code in a large corporate environment using modern programming and database-query languages.
  • Hands-on experience with enterprise-authorized AI-assisted software development tools, and ability to critically evaluate 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.
  • Experience designing, deploying, and managing containerized distributed applications, including an understanding of orchestration and scaling strategies.
  • Hands-on AWS IaaS experience provisioning and operating core compute, storage, and networking services such as EC2, EBS, S3, and VPC.
  • Experience managing AWS Cloud infrastructure using Infrastructure as Code tools such as Terraform to automate and optimize deployments.
  • Overall knowledge of the Software Development Life Cycle.
  • Solid understanding of agile methodologies, CI/CD, application resiliency, and security.

Nice To Haves

  • Hands-on experience with relational databases, particularly CockroachDB or similar distributed databases, with attention to data consistency, reliability, and performance in distributed environments.
  • Practical cloud-native experience.

Responsibilities

  • Execute software solution design, development, and technical troubleshooting, applying creative approaches to build solutions and break down technical problems.
  • Create secure, high-quality production code and maintain algorithms that run synchronously with appropriate systems.
  • Use enterprise-authorized AI coding assistance to improve code quality, delivery speed, and productivity, validating outputs through peer review, automated testing, and secure coding standards.
  • Apply software development lifecycle tools, including authorized AI-assisted development and automation capabilities, to improve the value of automation.
  • Produce architecture and design artifacts for complex applications and ensure software development meets design constraints.
  • Gather, analyze, synthesize, and visualize data from large and diverse datasets to improve software applications and systems.
  • Identify hidden problems and patterns in data and use insights to improve coding hygiene and system architecture.
  • Contribute learnings and reusable patterns to improve broader team effectiveness and guide peers in safe, effective AI tool usage.
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