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Pearson VUE

Software Engineer III

Pearson VUE

. Design, develop, and maintain scalable backend services using Python, Django, and Django REST Framework .

Posted 10/6/2026full-timeRemote • Texas • United StatesMid-LevelSenior💰 $80,000 - $90,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in Python backend development, RESTful API design, and data engineering using AWS services. Proficient in modern frontend frameworks and cloud infrastructure management, ensuring high-quality software delivery and scalability.

Highest-signal resume keywords
Python Backend DevelopmentDjango REST FrameworkAWS GlueData EngineeringRESTful API Design

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
PythonDjangoDjango REST FrameworkNuxtVueTypeScriptPydanticAWS CDKTerraformPostgreSQL
Soft Skills
CollaborationAgile MethodologiesCode Review
Tools & Technologies
AWS LambdaDockerGitHub ActionsRedisAWS SQSAWS SNSAWS EventBridgeAWS WAFAWS IAMAWS Secrets Manager
Industry Keywords
ETLELTData ValidationData TransformationServerless ArchitectureEvent-Driven DesignCloud Infrastructure

Tech Stack

Tools & technologies
AWSAzureCloudDjangoDockerETLNumpyNuxtPandasPostgresPythonRedisTerraformTypeScriptVue.js

About the role

Key responsibilities & impact
  • Design, develop, and maintain scalable backend services using Python, Django, and Django REST Framework
  • Build and document RESTful APIs using DRF, OpenAPI, and Swagger
  • Implement data validation and API response modeling using Pydantic
  • Develop authentication and authorization mechanisms using django-rest-knox, OAuth, and MSAL/Azure AD integrations
  • Create and maintain frontend applications using Nuxt 4, Vue 3, and TypeScript
  • Manage frontend state with Pinia and build responsive interfaces with Tailwind CSS and Nuxt UI
  • Design and optimize data engineering pipelines for ingestion, transformation, validation, and delivery
  • Build and support ETL/ELT workflows using AWS Glue, Pandas, NumPy, and other tools
  • Develop data transformation processes to improve data quality, consistency, and downstream usability
  • Implement event-driven and asynchronous architectures using AWS SQS, SNS, Lambda, and EventBridge
  • Build and support serverless applications using AWS Lambda and Mangum
  • Manage caching and session layers using Redis/ElastiCache
  • Design and optimize PostgreSQL 14+ databases, including schema design, indexing, and query tuning
  • Develop reusable modular adapter patterns for structured data entities and integrations
  • Provision and manage cloud infrastructure using AWS CDK and Terraform
  • Support containerization and deployment workflows using Docker and Amazon ECR
  • Build and maintain CI/CD pipelines with GitHub Actions
  • Ensure software quality through unit, regression, functional, and load testing
  • Participate in code reviews, architecture discussions, and Agile ceremonies with distributed teams
  • Follow AWS security and operational best practices, including IAM, Secrets Manager, WAF, and secure credential handling

Requirements

What you’ll need
  • Strong experience in Python-based backend development, modern frontend frameworks, data engineering, and AWS cloud services
  • Hands-on expertise with Django, Django REST Framework (DRF), Nuxt, Vue, TypeScript, AWS serverless and infrastructure services, and AWS Glue
  • Experience designing scalable backend services and RESTful APIs using DRF, OpenAPI, and Swagger
  • Experience with Pydantic for data validation and API response modeling
  • Experience with django-rest-knox, OAuth, MSAL, and Azure AD integrations
  • Experience with Nuxt 4, Vue 3, TypeScript, Pinia, Tailwind CSS, and Nuxt UI
  • Data engineering experience with batch and event-driven pipelines
  • Hands-on experience with AWS Glue
  • Strong background in data transformation, cleansing, normalization, and validation
  • Experience building ETL/ELT workflows
  • Ability to work with structured and semi-structured datasets across cloud platforms
  • Experience with AWS CDK (Python), Terraform, Docker, Amazon ECR, and GitHub Actions
  • Knowledge of AWS services including Lambda, SQS, SNS, S3, RDS, ElastiCache, CloudFront, ALB, ECR, VPC networking, WAFv2, Route 53, and EventBridge
  • Experience with pytest, pytest-django, Vitest, Vue Test Utils, Playwright, functional testing, regression testing, load testing, test coverage tooling, and SonarQube
  • Git/GitHub workflows and code review practices
  • Experience working in distributed Agile teams
  • Familiarity with event-driven design patterns, cloud infrastructure, and serverless patterns
  • Preferred: SAS experience, OpenAPI specification and API documentation, AWS security best practices, encrypted field storage, and credential management

Benefits

Comp & perks
  • Annual incentive program
  • Benefits offered by Pearson (details linked in the posting)