Full Stack Software Engineer, Python, Cloud, React

EXL

Full Stack Software Engineer building Python, React, API, database, and cloud solutions for EXL. Developing scalable applications, CI/CD pipelines, and data-driven systems in a hybrid Dallas role.

Posted 8/14/2026full-timeDallas • Texas • 🇺🇸 United StatesMid-LevelSenior💰 $80,000 - $100,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading data science projects, developing backend services with Python and FastAPI or Django, and building robust RESTful APIs. Proficient in SQL, cloud environments, and CI/CD practices, with a strong focus on performance and scalability.

Highest-signal resume keywords

Python DevelopmentFastAPI or DjangoSQL ProficiencyAWS, Azure, or GCPCI/CD with Jenkins

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ScienceBackend DevelopmentRESTful API DevelopmentSQL QueryingData ModelingPerformance TuningFrontend Development with ReactMicroservices ArchitectureDockerKubernetes

Soft Skills

MentoringCollaborationProblem-SolvingCommunication

Tools & Technologies

JiraBitbucketConfluenceGitHub ActionsCI/CD Pipelines

Industry Keywords

Data Science StandardsDocumentationCross-Functional CollaborationContinuous ImprovementVersion Control

Tech Stack

Tools & technologies

AWSAzureDjangoDockerGoogle Cloud PlatformJavaScriptJenkinsKubernetesMicroservicesNode.jsPythonReactSQLTerraform

About the role

Key responsibilities & impact

Lead medium-sized data science projects
Oversee data science standards and documentation
Mentor junior team members
Collaborate with other departments
Build and maintain backend services using Python, FastAPI, Django, or Node.js
Develop robust RESTful APIs and integrate with internal and external systems
Improve backend performance, reliability, and scalability
Build intuitive, responsive user interfaces using React or similar frameworks
Work with design and product teams to deliver user experiences
Write efficient SQL queries and manage relational databases
Support schema design, data modeling, and performance tuning
Deploy and manage applications in AWS, Azure, or GCP environments
Build and maintain CI/CD pipelines using Jenkins, GitHub Actions, and similar tools
Use Jira, Bitbucket, and Confluence for workflow and documentation
Participate in code reviews, sprint planning, and architecture discussions
Work cross-functionally with product, design, and QA
Troubleshoot production issues and contribute to continuous improvement

Requirements

What you’ll need

Bachelor's degree or graduate degree in Data Science, Computer Science, Statistics, or a related field
4–5 years of professional software engineering experience
3–4 years of experience in data science or data analysis
Strong experience with Python and FastAPI or Django
Solid SQL skills and experience with relational databases
Hands-on experience with React or similar frontend frameworks
Familiarity with AWS, Azure, or GCP
Experience with CI/CD, Jenkins, and Atlassian tools
Strong understanding of engineering best practices and version control
Experience with Docker or Kubernetes is a bonus
Knowledge of microservices architecture is a bonus
Exposure to Terraform or CloudFormation is a bonus

Benefits

Comp & perks

Bonus
Benefits package
Benefits information provided at https://www.exlservice.com/us-careers-and-benefits