Automation Architect, AI, Cloud & Quality Engineering

Hybrid in Austin, TX, US • Posted 6 hours ago • Updated 6 hours ago
Contract W2
6 Months
Travel Required
Hybrid
$60 - $65/hr
Company Branding Image
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Job Details

Skills

  • Jenkins
  • Google Cloud
  • Java
  • JavaScript
  • Google Cloud Platform
  • Integration Testing
  • Generative Artificial Intelligence (AI)
  • Financial Software
  • Documentation
  • Domain-driven Design
  • GitHub
  • Microservices
  • Microsoft Azure
  • Leadership
  • Management
  • Mentorship
  • Data Validation
  • Docker
  • PostgreSQL
  • Continuous Integration
  • Data Flow
  • Communication
  • Continuous Delivery
  • Cloud Computing
  • Collaboration
  • Artificial Intelligence
  • Automated Testing
  • Amazon SQS
  • Amazon Web Services
  • API
  • Agile
  • Software Development
  • Scalability
  • Scripting
  • Scrum
  • Quality Assurance
  • Systems Architecture
  • Regression Analysis
  • Selenium
  • DevOps
  • Productivity
  • Python
  • Amazon DynamoDB
  • Analytics
  • C#
  • Redis
  • Sprint
  • TeamCity
  • TestNG
  • Testing
  • Workflow

Summary

1. Automation Framework Engineering

·                     Collaborate closely with developers to understand system architecture, data flows, and event-driven behaviors for effective automation design.

  • Build and enhance end-to-end automation frameworks supporting API, integration, and data validation layers.
  • Develop integration test suites to ensure reliability and stability across development and pre-production environments.
  • Automate regression, functional, and event-driven validations using Playwright, PyTest, TestNG, and related tools.
  • Contribute to modernization initiatives transitioning from legacy to distributed systems, ensuring comprehensive automation coverage and system resilience.

2. AI & Intelligent Test Enablement

·                     Leverage tools such as GitHub Copilot, ChatGPT, and LLM-based agents to assist in automation scripting, test generation, and analysis.

  • Integrate GenAI tools for test documentation, failure triage, and predictive quality analytics.
  • Experiment with autonomous testing agents capable of self-triggering and monitoring test pipelines.
  • Drive the adoption of AI-enhanced automation strategies to improve efficiency, quality insights, and test coverage.

3. Cloud & DevOps Integration

·                     Integrate automation frameworks within CI/CD pipelines (GitHub Actions, Jenkins, TeamCity) to enable continuous validation.

  • Deploy and manage test environments on AWS (EKS, SQS, Glue, Lambda, DynamoDB, PostgreSQL).
  • Implement observability and test telemetry to monitor pipeline health, performance, and coverage trends.
  • Collaborate with DevOps and platform engineering teams to ensure environment consistency, scalability, and release readiness.

4. Agile Collaboration & Leadership

·                     Actively participate in Agile/Scrum ceremonies—including sprint planning, daily standups, and retrospectives—to align testing and development objectives.

  • Mentor engineers in automation best practices and modern framework adoption.
  • Foster cross-functional alignment by collaborating with developers, architects, and product owners to ensure quality is engineered from the start.
  • Champion a quality-first culture by embedding continuous testing and automation throughout the delivery lifecycle.

 

Tech Stack & Tools

Languages: Java/C#/ Python, JavaScript/TypeScript
Frameworks: Playwright, Selenium, PyTest, TestNG, JUnit
Cloud & DevOps: AWS (EKS, Glue, SQS, Lambda, DynamoDB), Jenkins, GitHub Actions, Docker, Kubernetes
Databases: PostgreSQL, Redis, DynamoDB, MongoDB
AI Tools: GitHub Copilot, ChatGPT, OpenAI Assistants
Methodologies: Agile, Scrum, Domain-Driven Design, Event-Driven Architecture


Required Skills & Experience

·                     Experience in test automation and quality engineering within complex enterprise environments.

  • Strong understanding of software development workflows with proven collaboration alongside development and architecture teams.
  • Expertise in Playwright and API automation frameworks, with proficiency in Java, Python, or C#.
  • Experience testing event-driven systems and microservice-based architectures.
  • Hands-on experience with AWS cloud services and CI/CD automation practices.
  • Exposure to GenAI tools (Copilot, ChatGPT, LLM-based assistants) for enhanced automation productivity.
  • Proven experience working in Agile/Scrum environments as an active and contributing team member.

Preferred Qualifications

·                     Knowledge of AI-based automation, autonomous test agents, or intelligent QA platforms.

  • Certifications in AWS DevOps, Google Cloud, or Azure Fundamentals.
  • Experience with financial systems or data-intensive platforms.
  • Strong leadership and communication skills, with a passion for mentoring and cross-functional collaboration.
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: 91162606
  • Position Id: 8972421
  • Posted 6 hours ago

Company Info

About ThinkBeyond Inc

Our team has a strong bond with the local community; they possess a profound understanding of the people and the market.

The Vision of Think Beyond is

Commitment to Excellence: Emphasize the consultancy's dedication to delivering high-quality recruitment services. Highlight the focus on finding top-notch candidates who possess the skills, experience, and cultural fit necessary to drive business success.

Strategic Partnership: Position the consultancy as a strategic partner for businesses, working closely with clients to understand their unique needs, goals, and company culture. Emphasize the importance of building long-term relationships and providing customized solutions.

Innovation and Adaptability: Highlight the consultancy's ability to stay ahead of emerging trends and technologies in the recruitment industry. Emphasize a commitment to continuous learning, leveraging innovative tools, and adopting new methodologies to ensure the best outcomes for clients.

Ethical and Professional Standards: Showcase the consultancy's commitment to operating with integrity, maintaining confidentiality, and adhering to the highest ethical standards in all aspects of the recruitment process. Highlight the importance of building trust and fostering positive relationships with both clients and candidates.

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