SDET / QA Automation Engineer (Agentic AI & Full-Stack)

Qualis1 Inc.

Dallas (TX)

On-site

USD 120,000 - 160,000

Full time

12 hours ago
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Job summary

Qualis1 Inc. in Dallas, TX is seeking a Senior SDET / QA Automation Engineer to lead autonomous testing across frontend and backend. You will craft scalable test apps in Python or Java, build AI-augmented workflows, and shape agentic testing with Bedrock and LLMs.

Collaboration with AI-enabled platforms and cloud-native tooling is central to this role. The position emphasizes end-to-end quality, testable architectures, and robust automation across APIs, microservices, and UI.

Qualifications

  • 5+ years as SDET, Software Engineer, or Full Stack Developer.
  • Strong coding skills in Python or Java with production-grade experience.
  • Frontend experience with React, Angular, or Vue.
  • Backend experience with APIs, microservices, and distributed systems.
  • Experience in API testing, contract testing, and test automation.
  • Ability to design automation frameworks from scratch.
  • Understanding of CI/CD pipelines and quality gates.
  • Experience with AWS services and cloud-native testing.
  • Experience with LLMs, Bedrock, and agentic AI patterns.

Responsibilities

  • Build and maintain automation frameworks for API, microservices, UI, and integration testing.
  • Develop internal tools, SDKs, and test harnesses to boost productivity and reliability.
  • Contribute to frontend development with modern frameworks and testability in mind.
  • Contribute to backend microservices, APIs, and distributed systems development.
  • Architect CI/CD ready test pipelines integrated with AWS infrastructure.
  • Implement AI-augmented testing using Bedrock for generation, logs, and anomaly detection.
  • Design performance, load, and resilience testing for frontend and backend.
  • Collaborate with teams to design testable architectures and observability.
  • Lead root-cause analysis and automated regression protections.
  • Mentor engineers on automation, code quality, and AI testing best practices.
  • Architect autonomous multi-agent testing workflows with self-healing test code.

Skills

Python
Java
React/Angular/Vue
API testing
CI/CD
AWS
LLMs Bedrock
Agentic AI frameworks
Docker
Kubernetes
Automation frameworks

Tools

Docker
Kubernetes
LangChain
AutoGen
LlamaIndex
Playwright
Datadog

Job description

Senior SDET / QA Automation Engineer (Agentic AI & Full-Stack)

Location: Dallas, TX Need local Candidates

Duration: Long Term

MOI: Only one round of interview that is F2F

Summary

We’re looking for a Senior SDET with strong full stack engineering skills, deep experience in backend and service level development, and the ability to build scalable test application in Python or Java. This role blends frontend and backend development, cloud native testing, and AI-augmented quality engineering with a heavy focus on building and deploying autonomous, multi-agent frameworks, tool-calling mechanisms, and complex agentic workflows using Amazon Bedrock and modern LLMs.

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.
  • Architect, build, and maintain autonomous multi-agent testing workflows, enabling agents to self-heal test code, discover edge cases, and reason through end-to-end user journeys independently.
  • Implement advanced AI patterns including multi-agent orchestration, vector embeddings for test-state memory, tool calling, and human-in-the-loop validation mechanisms.
  • Establish strict evaluation and guardrail frameworks to measure agent accuracy, hallucinations, and performance degradation in production-grade testing tools.
Required Qualifications
  • 5+ years as an SDET, Software Engineer, or Full Stack Developer.
  • Strong coding skills in Python or Java with production grade engineering experience.
  • Hands on frontend development experience (React, Angular, Vue, or similar).
  • Hands on backend development experience with APIs, microservices, and distributed systems.
  • Expertise in API testing, contract testing, and service level automation.
  • Experience building automation frameworks from scratch.
  • Strong understanding of CI/CD pipelines and automated quality gates.
  • Experience with AWS services (EC2, Lambda, S3, IAM, CloudFormation/Terraform).
  • Experience integrating or building solutions using LLMs or Amazon Bedrock.
  • Agentic AI Experience: Hands-on experience building and deploying production-ready agentic applications or multi-agent workflows.
  • AI Orchestration Frameworks: Deep familiarity with agentic frameworks such as LangChain, CrewAI, AutoGen, or LlamaIndex.
  • Advanced AI Patterns: Solid understanding of LLM reasoning patterns, retrieval-augmented generation (RAG), function calling/tool execution, and agent memory management.
  • Familiarity with containers (Docker) and orchestration (Kubernetes).
Preferred Qualifications
  • Experience with frontend automation tools (Playwright, WebdriverIO).
  • Experience with distributed tracing and observability tools (CloudWatch, Datadog, OpenTelemetry).
  • Knowledge of performance testing tools (k6, Gatling, Locust).
  • Experience with event driven architectures (Kafka, SNS/SQS).
  • Background in security testing or chaos engineering.
  • Contributions to internal or open source testing frameworks.
Soft Skills
  • Strong communication and ability to influence engineering teams.
  • Passion for automation, developer experience, and AI driven quality engineering.
  • Ability to lead initiatives and drive quality strategy across teams.
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