Senior AI QA Platform Engineer

We are seeking a Senior AI QA Platform Engineer to build AI-powered test automation and cloud-native QA platforms using AWS, Amazon Bedrock, agentic AI, Playwright, and CI/CD technologies.

Responsibilities

• Design and develop AI-enabled QA and test automation platforms using Amazon Bedrock/AgentCore.

• Build agentic workflows, multi-agent architectures, MCP integrations, and prompt engineering solutions.

• Develop scalable Playwright UI/API automation frameworks.

• Build solutions using TypeScript, Node.js, JavaScript, SQL, and REST APIs.

• Develop AWS solutions using IAM, CodeBuild, CloudWatch, S3, Secrets Manager, and Parameter Store.

• Build GitHub Actions/CI/CD pipelines and Infrastructure as Code using Terraform.

• Implement test data management, automation governance, security, auditability, and operational controls.

• Integrate QA solutions with Jira, qTest, and Databricks.

Required Skills

• Amazon Bedrock / AgentCore, Claude, Agentic AI, Prompt Engineering, MCP

• Playwright and enterprise test automation

• TypeScript, Node.js, JavaScript, SQL, REST APIs

• AWS and cloud-native development

• GitHub, GitHub Actions, CI/CD, Terraform

• API testing and test automation framework architecture

• Test data management and enterprise QA platforms

Qualifications

• 7+ years of software, automation, platform, or cloud engineering experience.

• 5+ years designing enterprise test automation solutions.

• Experience building AWS cloud-native solutions and CI/CD pipelines.

• Experience integrating AI/LLM capabilities into engineering or automation platforms.

• Experience with Terraform, governance, compliance, and operational controls.

• Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent experience.

Preferred

• Experience with Strands Agents, Amazon Bedrock, AgentCore, or Databricks.

• AWS Certified Solutions Architect, AWS Certified AI Practitioner, AWS Certified Developer – Associate, or Terraform Associate.