Senior SDET / Software Development Engineer in Test (Full Stack + Cloud + AI)

Hybrid in Dallas, TX, US • Posted 1 hour ago • Updated 1 hour ago
Contract Corp To Corp
Contract W2
Contract Independent
No Travel Required
Hybrid
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • python
  • java
  • react
  • angular
  • Rest API
  • AWS
  • Docker
  • Kubernetes
  • playwright
  • webdriver
  • automation

Summary

About the Role

We are seeking a highly skilled Senior Software Development Engineer in Test (SDET) with strong full stack engineering expertise, deep backend and service-level automation experience, and a passion for building scalable, developer-grade quality engineering solutions. This role combines frontend and backend development, cloud-native testing, and AI-augmented quality engineering using Amazon Bedrock and modern Large Language Models (LLMs).

As a Senior SDET, you will design scalable automation frameworks, contribute directly to application development, build intelligent testing workflows, and drive quality across distributed systems and customer-facing applications. You will work closely with engineering, DevOps, and product teams to ensure reliability, scalability, performance, and maintainability across the software development lifecycle.


Key Responsibilities

  • Design, build, and maintain scalable automation frameworks for:
    • API testing
    • Microservices testing
    • Frontend UI automation
    • Integration and end-to-end testing
  • Develop internal developer tools, SDKs, reusable libraries, and test harnesses to improve engineering productivity and system reliability.
  • Contribute to frontend development using modern frameworks such as React, Angular, or Vue while ensuring accessibility, maintainability, and testability.
  • Contribute to backend development of APIs, microservices, and distributed systems using Python or Java.
  • Architect and maintain CI/CD-ready automated testing pipelines integrated with AWS cloud infrastructure including Lambda, ECS/EKS, S3, CloudWatch, and DynamoDB.
  • Implement AI-augmented testing workflows using Amazon Bedrock and modern LLMs for:
    • Automated test generation
    • Log and failure analysis
    • Intelligent anomaly detection
    • Regression analysis
  • Build and execute performance, load, resilience, and scalability testing strategies for frontend and backend systems.
  • Collaborate with engineering teams to design testable architectures, improve observability, and enforce automated quality gates.
  • Lead root cause analysis efforts for production issues and implement automated regression protections.
  • Mentor engineers on automation best practices, code quality, testing strategy, and AI-assisted quality engineering.

Required Qualifications

  • 5+ years of experience as an SDET, Software Engineer, or Full Stack Developer.
  • Strong software engineering and coding skills in Python or Java with production-grade development experience.
  • Hands-on frontend development experience using React, Angular, Vue, or similar frameworks.
  • Hands-on backend development experience with APIs, microservices, and distributed systems.
  • Strong expertise in:
    • API testing
    • Contract testing
    • Service-level automation
    • Integration testing
  • Proven experience building automation frameworks from scratch.
  • Strong understanding of CI/CD pipelines, automated quality gates, and DevOps workflows.
  • Experience with AWS cloud services including EC2, Lambda, S3, IAM, and CloudFormation/Terraform.
  • Experience integrating or building solutions using LLMs or Amazon Bedrock.
  • Familiarity with Docker and Kubernetes.

Preferred Qualifications

  • Experience with frontend automation frameworks such as Playwright or WebdriverIO.
  • Experience with observability and distributed tracing tools including CloudWatch, Datadog, and OpenTelemetry.
  • Knowledge of performance testing tools such as k6, Gatling, or Locust.
  • Experience with event-driven architectures using Kafka or SNS/SQS.
  • Background in security testing, reliability engineering, or chaos engineering.
  • Contributions to open-source or internal testing frameworks.

Soft Skills

  • Excellent communication and collaboration skills.
  • Ability to influence engineering teams and drive quality initiatives.
  • Passion for automation, developer experience, and AI-driven quality engineering.
  • Strong problem-solving and analytical thinking abilities.
  • Ability to lead initiatives and establish quality strategy across teams.

Why Join Us?

  • Work on modern cloud-native platforms and distributed systems.
  • Build next-generation AI-assisted quality engineering solutions.
  • Collaborate with highly skilled engineering and product teams.
  • Influence architecture, tooling, and engineering best practices.
  • Opportunity to innovate in automation, observability, and intelligent testing.

Technology Stack

Languages: Python, Java, JavaScript/TypeScript
Frontend: React, Angular, Vue
Backend: REST APIs, Microservices, Distributed Systems
Cloud & DevOps: AWS, Docker, Kubernetes, Terraform, CI/CD
Testing: Playwright, WebdriverIO, API Automation, Performance Testing
AI & Automation: Amazon Bedrock, LLMs, AI-Augmented Testing
Observability: CloudWatch, Datadog, OpenTelemetry


 

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90987764
  • Position Id: 8969971
  • Posted 1 hour ago
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