Software Engineer III - Python/ AWS/PySpark/Glue

JPMorgan Chase & Co.•Plano, TX

About The Position

As a Software Engineer III at JPMorganChase within Consumer & Community Banking Administration, you will be a seasoned member of an agile team designing and delivering secure, stable, scalable technology products. You will carry out critical technology solutions across multiple technical areas to support business objectives. The role involves developing and operating software, producing architecture and design artifacts, working with large and diverse datasets, and using enterprise-authorized AI-assisted engineering tools in accordance with validation, security, and responsible-use practices. You will also troubleshoot production issues in a multi-environment enterprise setting 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 languages and database query languages.
  • Hands-on experience with enterprise-authorized AI-assisted software development tools, with 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, and resiliency and security expectations; ability to guide peers on safe and effective use.
  • Proficiency in one or more programming languages, including 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, including Splunk, Dynatrace, and Datadog.
  • Proficiency with Oracle, DB2, and AWS Aurora PostgreSQL databases, including 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.

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

  • Execute software design, development, and technical troubleshooting, using non-routine 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 assistants for code generation, refactoring, unit tests, and documentation; validate outputs through peer review, automated testing, and secure coding standards, and share reusable patterns and learnings.
  • Apply Software Development Life Cycle toolchain capabilities, including authorized AI-assisted development and automation tools, to improve the value of automation.
  • Produce architecture and design artifacts for complex applications and ensure software code meets design constraints.
  • Gather, analyze, synthesize, visualize, and report on large, diverse datasets 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.
  • Drive team adoption of authorized AI-assisted engineering practices, including code review, refactoring, test strategy, and incident/root-cause analysis support, while establishing validation standards and promoting effective reusable patterns.
  • Detect, troubleshoot, and resolve production issues in enterprise multi-environment settings using advanced observability tools.

Benefits

  • Competitive total rewards package, including base salary determined by role, experience, skill set, and location.
  • Eligible roles may receive commission-based pay and/or discretionary incentive compensation in cash and/or forfeitable equity.
  • Comprehensive health care coverage.
  • On-site health and wellness centers.
  • Retirement savings plan.
  • Backup childcare.
  • Tuition reimbursement.
  • Mental health support.
  • Financial coaching.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service