Full Stack Engineer, Python – Build Scalable Airflow Apps

Fidelity Investments Inc.; Texas; On-site; USD 110,000 - 150,000; Full time

Job summary

Fidelity Investments Inc. in Westlake, TX is seeking a Full Stack Software Engineer to build and evolve a workflow orchestration platform. You’ll implement Python-based DAG generation, backend services, and user interfaces for defining and validating workflows.

Collaborate with platform engineers, architects, and application teams to enable scalable, reliable Airflow-driven workflows in AWS, while focusing on quality through validation, testing, and documentation. Onsite role with modern tooling.

Qualifications

• 2-4 years of software engineering experience with Python development.
• Experience building APIs, backend services, or automation tools.
• Experience with REST APIs and JSON/YAML data formats.
• Frontend development experience with React/Angular/Vue.
• Experience with Git, code reviews, and CI/CD pipelines.
• Exposure to cloud environments (AWS).
• Agile development experience.

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 manage Airflow workflows through a common specification model.
• Develop validation, testing, and error-reporting capabilities to improve workflow quality.
• Create technical documentation and guidance for platform adoption.
• Identify opportunities to automate additional workflow migration and development activities.

Skills

Python

REST APIs

JSON/YAML

Airflow

AWS

Frontend frameworks

Git CI/CD

TypeScript

Testing & Validation

Agile development

Tools

Airflow

Git

AWS

CI/CD

React

Job description

Fidelity Investments Inc. in Westlake, TX is seeking a Full Stack Software Engineer to build and evolve a workflow orchestration platform. You’ll implement Python-based DAG generation, backend services, and user interfaces for defining and validating workflows.

Collaborate with platform engineers, architects, and application teams to enable scalable, reliable Airflow-driven workflows in AWS, while focusing on quality through validation, testing, and documentation. Onsite role with modern tooling.