3559 Full Stack Software Engineer jobs in Arlington,TX

New, Posted 19 hours ago

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Senior AI/SW Engineer (STAR.OS, hybrid, Dallas-Fort Worth)

Lockheed Martin

Fort Worth, TX 76102

Flexible Schedule

New, Posted 3 hours ago

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Engineer/Sr Engineer, IT Software

American Airlines

Fort Worth, TX 76101

~ 26 min Onsite

Bachelor's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training
3+ years of experience designing, developing, and implementing large-scale solutions in production environments
Proficiency with the following technologies:
Programming Languages: Java, Javascript/Typescript
Frameworks: Spring/SpringBoot, FastAPI
Front End Technologies: Angular/React
Deployment Technologies: Kubernetes, Docker
Source Control: GitHub, Azure DevOps
CICD: GitHub Actions, Azure DevOps
Data management: PostgreSQL, MongoDB, Redis
Integration/APIs Technologies: Kafka, REST, GraphQL
Cloud Providers such as Azure and AWS
Test Automation: Selenium, TestNG, Postman, SonarQube, Cypress, JUnit/NUnit/PyTest, Cucumber, Playwright, Wiremock/Mockito/Moq
Design and implement robust automation solutions using modern languages (Java, Python, C#, JavaScript/TypeScript) and frameworks such as Selenium, Playwright, TestNG, JUnit, and Cucumber
Build and maintain scalable test automation frameworks and integrate them seamlessly with CI/CD pipelines using GitHub Actions and Azure DevOps
Develop and execute API and integration tests leveraging technologies like REST, GraphQL, Kafka, SOAPUI, Postman, and service virtualization tools (WireMock, Mockito, Moq)
Perform performance and load testing using tools such as JMeter while ensuring system reliability, scalability, and resiliency
Manage automated test lifecycle including test design, execution, scheduling, maintenance, and detailed analysis of test results and logs using tools like Quality Center
Collaborate with cross-functional teams to gather requirements, validate designs, and ensure adherence to SDLC, Agile (Scrum), and DevOps best practices
Validate complex, distributed systems across cloud platforms (Azure, AWS) and containerized environments (Docker, Kubernetes)
Apply strong knowledge of data validation and backend testing using PostgreSQL, MongoDB, Redis, and ensure data integrity across systems
Optimize system quality and test strategy by applying quality engineering principles, metrics, and continuous improvement practices
Demonstrate strong communication, analytical, and organizational skills while managing multiple priorities, adapting to change, and driving high-quality deliverables across teams