Automation Architect – AI, Cloud/Quality Engineering

Role: Automation Architect – AI, Cloud & Quality Engineering

Mode: Hybrid

Duration: 12+ months

Location: Austin, TX

Relocation: Acceptable

Job Description:

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.

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

·  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.

·  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.