Sr. Full Stack Engineer

Expert In Recruitment Solutions

Dallas, TX

JOB DETAILS
SKILLS
AWS Lambda, Amazon Simple Storage Service (S3), Amazon Web Services (AWS), Analysis Skills, Application Programming Interface (API), Architectural Design, Artificial Intelligence (AI), Automation, Best Practices, Cloud Computing, Continuous Deployment/Delivery, Continuous Integration, Distributed Computing, Engineering, Integration Testing, Java, Load Testing, Machine Tool, Mentoring, Microservices, Productivity Management, Python Programming/Scripting Language, Quality Assurance Methodology, Quality Engineering, React.js, Root Cause Analysis, Scalable System Development, Software Design for Test (SDET), Software Testing, Systems Reliability, Test Automation, Test Harness, Test Strategy, Testability, Testing, User Interface/Experience (UI/UX), Vue.js
LOCATION
Dallas, TX
POSTED
30+ days ago
Title: Sr. Full Stack Engineer
Location: Dallas, TX (Need locals only)
Duration: 12+ Months
Interview: 1 Video + 1 In-person

Summary
We're looking for a Senior SDET with strong full stack engineering skills, deep experience in backend and service level automation, and the ability to build scalable test frameworks in Python or Java. This role blends frontend and backend development, cloud native testing, and AI augmented quality engineering using Amazon Bedrock and modern LLMs. You will design testable architectures, build developer grade tooling, and drive quality across distributed systems and user facing applications.
Key Responsibilities
  • Build and maintain automation frameworks for API, microservices, frontend UI, and integration testing.
  • Develop internal tools, SDKs, and test harnesses that improve developer productivity and system reliability.
  • Contribute to frontend development using modern frameworks such as React, Angular, or Vue, ensuring testability and accessibility.
  • Contribute to backend development of microservices, APIs, and distributed systems using Python or Java.
  • Architect CI/CD ready test pipelines integrated with AWS cloud infrastructure (Lambda, ECS/EKS, S3, CloudWatch, DynamoDB).
  • Implement AI augmented testing workflows using Amazon Bedrock for automated test generation, log analysis, and anomaly detection.
  • Build performance, load, and resilience testing strategies for both frontend and backend systems.
  • Collaborate with engineering teams to design testable architectures, enforce quality gates, and improve observability.
  • Drive root cause analysis for production issues and build automated regression protections.
  • Mentor engineers on automation, code quality, and AI assisted testing best practices.

About the Company

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Expert In Recruitment Solutions