Full Stack Software Engineer, Python

Fidelity Investments•Westlake, TX

About The Position

As a Full Stack Engineer, you will build and improve a workflow orchestration platform that helps teams create and manage Airflow workflows using a standardized, spec-driven approach. You will develop and maintain Python-based conversion and DAG-generation capabilities, backend services, and user interfaces for creating, validating, and managing workflow definitions. Working with platform engineers, architects, and application teams, you will help make workflow migration and development scalable, reliable, and easy to use. The Airflow Platform team is building Fidelity’s enterprise Apache Airflow platform to provide the foundation for running business-critical workflows reliably and at scale. The team delivers platform capabilities, automation, security, and operational tooling for enterprise workloads. In partnership with application, infrastructure, security, and production support teams, it focuses on a secure, resilient, highly automated platform that simplifies adoption and improves the developer experience. Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Current onsite requirements vary by role and location and may evolve. This transition does not apply to fully remote roles. Fidelity will not provide immigration sponsorship for this position.

Requirements

  • 2–4 years of software engineering experience with Python development.
  • Experience building applications, APIs, backend services, developer tools, or automation solutions.
  • Understanding of object-oriented programming, software design principles, and maintainable code development.
  • Experience working with REST APIs and JSON/YAML data formats.
  • Experience implementing validation, error handling, logging, and automated testing.
  • Front-end development experience using React, Angular, Vue, or similar frameworks.
  • Proficiency with JavaScript or TypeScript, HTML, and CSS.
  • Experience integrating front-end applications with backend services and APIs.
  • Experience with Git, code reviews, and CI/CD pipelines.
  • Understanding of secure software development practices.
  • Exposure to workflow orchestration platforms, job scheduling tools, or automation frameworks.
  • Experience working in cloud-based environments and modern deployment pipelines.
  • Strong troubleshooting and problem-solving skills.
  • Experience working in Agile development environments.

Responsibilities

  • Build and enhance Airflow workflow definitions using Python.
  • Build reusable components, APIs, and services that support workflow automation at scale in AWS.
  • Partner with platform engineering teams to integrate approved Airflow operators, templates, libraries, and deployment practices.
  • Develop tools that enable teams to create and manage Airflow workflows through a common specification model.
  • Develop validation, testing, and error-reporting capabilities to improve workflow quality and reliability.
  • Create technical documentation and guidance that enable application teams to adopt the platform successfully.
  • Identify opportunities to automate additional workflow migration and workflow development activities.
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