Senior QA Engineer

Senior QA Engineer

About the Role

We're seeking a Senior QA Engineer to lead quality initiatives for our AI-powered supply chain forecasting and decision platforms. This is a strategic role where you'll leverage cutting-edge AI tools and automation to build intelligent testing systems that validate complex ML models, data pipelines, and distributed systems. You'll drive our shift-left quality practices while ensuring our platforms deliver accurate, reliable results at scale.

Prediction Platform : A data centric, domain specific, model agnostic platform built especially for supply chain practitioners to generate accurate predictions.

Decision System : A supply chain planning decision system purpose built to combine the computational power of AI predictions with human judgement for enabling enterprise adoption and continuous improvement of decision quality, speed and confidence.

Key Responsibilities

AI-Focused Test Automation

Build intelligent test automation frameworks that leverage AI for test generation, maintenance, and self-healing capabilities (using tools like Playwright MCP)

Implement automated validation for Daybreak’s ML model outputs, forecast accuracy, and data pipeline integrity

Design performance and testing strategies for distributed systems and concurrent workflows

Create smart test selection that optimize regression suite execution based on code changes

Quality Strategy & Architecture

Own end-to-end quality strategy across microservices architecture and data platforms

Embed quality gates throughout CI / CD pipelines and enforce shift-left practices at the feature branch level

Build frameworks for testing event-driven architectures, async workflows, and agent-based systems

Define, track and publish quality metrics including test coverage, defect escape rate, and mean time to recovery

Data & ML Quality Assurance

Develop automated validation for ETL processes, data transformations, and feature engineering pipelines

Build testing strategies for orchestrated workflows and batch processing systems

Implement data quality checks across ingestion, processing, and serving layers

Required Qualifications

5+

years in QA / SDET roles with 2+ years testing data-intensive or ML products

Strong programming skills in Python and JavaScript / TypeScript

Hands-on experience using modern AI tools (Claude Code, Windsurf, Playwright MCP, etc.)

Hands-on experience with modern test automation frameworks (Playwright, Cypress, Selenium, etc.)

Experience with performance testing tools (Locust, K6, JMeter) and API testing framework s

Background in testing microservices, distributed systems,

and cloud-native applications

Understanding of data engineering workflows, CI / CD pipelines and infrastructure as code

Preferred Qualifications

Knowledge of data orchestration platforms (Dagster, Airflow, Databricks)

Familiarity with ML platforms and model validation techniques ( prepare datasets, validate model-driven test scenarios)

Experience testing data processing systems

Background in supply chain, forecasting, or optimization domains

Tech Stack You'll Work With

Backend : FastAPI, Python, PostgreSQL, PydanticAI

Frontend : React, TypeScript

Data & ML : Databricks, Dagster, MLflow

Infrastructure : AWS (EKS, RDS, S3), Docker, Kubernetes

CI / CD : Azure DevOps

Monitoring : Datadog and modern observability tools

What Makes This Role Unique

You'll architect quality systems that use AI to test AI-powered platforms. This is a hands-on strategic role where you'll revolutionize how we approach quality through intelligent automation, predictive analytics, and data-driven testing strategies. You'll have the autonomy to research and implement next-generation testing tools while directly impacting product reliability and customer satisfaction.

Impact You'll Have

Transform quality practices from reactive testing to proactive prevention

Build self-improving test systems that learn from failures and adapt to changes

Enable rapid, confident deployments through intelligent automation

Establish quality as a competitive advantage in the AI supply chain space

We offer competitive compensation, equity participation, and the opportunity to shape the future of AI-powered quality assurance in a rapidly growing company.

DAYBREAK IS AN EQUAL OPPORTUNITY EMPLOYER