3726 Associate Software Engineer Pathway jobs in Dallas,TX

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Software Engineer Mid-level (Java Full Stack)

USAA

Plano, TX 75023

Hybrid~ 27 minUrgently HiringFlexible ScheduleHealth InsurancePaid Time OffRetirement Benefit

Bachelor's Degree or 4 additional years of experience beyond the minimum requirement can be used in lieu of a degree OR Approved certification from CodeUp, Galvanize, VetFIT (Veterans for IT) or eFIT (Employees for IT).
4 years of software development experience demonstrating depth of technical understanding within a specific discipline(s)/technology(s).
2 years of experience delivering technology solutions in all phases of the software systems and application development lifecycle to include leading code/design reviews.
Basic Understanding of one or more of the following: Java, Swift, Objective-C, Cobol, JavaScript, Kotlin, C++, HTML, CSS, SQL, Go, and Python
Developing level of business acumen in the areas of business operations, risk management, industry practices and emerging trends.
Experience supporting efforts to address production issues through troubleshooting applications and systems.
Experience articulating technical challenges and solutions.
Basic understanding of cloud technologies and tools.

SmartExplore AI is experimental.

New, Posted 1 day ago

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Associate, AI Engineer

KPMG

Dallas, TX 75217

Onsite

Minimum one years of recent professional or academic experience in AI/ML, data science, software engineering, or cloud technologies
Bachelor's degree from an accredited college or university in computer science, data science, engineering, or related field
Experience with at least one major cloud AI platform (Azure AI, AWS AI/Bedrock, or Google Cloud Vertex AI)
Proficiency in Python or another programming language commonly used in AI/ML
Familiarity with conversational AI frameworks (LLMs, chatbots, virtual assistants, agents) and APIs
Strong analytical skills and attention to detail with the ability to work in a team-based, client-focused environment
Ability to travel as required
Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)

SmartExplore AI is experimental.

New, Posted 1 day ago

Data Engineer

Fisher Investments Careers

Dallas, TX 75217

New, Posted 19 hours ago

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Early Career Software Engineer

Gainwell Technologies LLC

Dallas, TX 75215

$48,700-$69,600/yr

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Software Engineer - OIPA

CGI

Dallas, TX 75215

New, Posted 23 hours ago

Sr. Technical Product Manager, eCommerce

McKesson Careers

Irving, TX 75061

New, Posted 5 hours ago

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Automation Engineer

Amazon Stores

Dallas, TX 75201

OnsiteFlexible ScheduleHealth InsurancePaid Time OffRetirement Benefit

Bachelor's degree in computer science, electrical engineering, automation engineering, or equivalent, or 2+ years of PLC programming or automation engineering experience
Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays
Bachelor's degree in computer science, electrical engineering, automation engineering, or equivalent, or 2+ years of process or production environment related PLC-controlled automation and issue diagnosis experience
Bachelor's degree in computer science, electrical engineering, automation engineering, or equivalent, or 2+ years of robotics work cells and control systems experience
Bachelor's degree in computer science, electrical engineering, automation engineering, or equivalent, or 2+ years of electrical theory, robotics, controls components, and automated equipment experience
Bachelor's degree in computer science, electrical engineering, automation engineering, or equivalent, or 2+ years of Ladder Logic and structured programming from Siemens, Allen-Bradley, or Codesys PLCs experience

SmartExplore AI is experimental.

New, Posted 1 day ago

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Engineer/Sr Engineer, IT Software

American Airlines

Fort Worth, TX 76101

~ 44 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