About the Role

We’re looking for a hands-on GCP & Platform Security Engineer who thrives on solving complex problems, automating everything possible, and ensuring systems run reliably and securely at scale. If you’re someone who champions the DevSecOps philosophy and doesn't rest until things work as expected — this is your kind of role.

This position requires an experienced professional with deep expertise in GCP, Kubernetes, Terraform, DevSecOps, and CICD, coupled with a strong understanding of scripting and Linux. You’ll work across multi-cloud environments, driving infrastructure automation, continuous delivery, and robust security practices.

This is a highly strategic and hands-on role suited for someone who thrives in a fast-paced environment, where leading enterprise data initiatives and delivering trusted data foundations are central to success.

What you'll do

• Architect & Implement Testing Strategies: Develop and execute comprehensive, end-to-end quality assurance strategies and test plans specifically for LakeFusion's emerging Data & AI products, ensuring high reliability, accuracy, and performance of our LLM-powered features and data pipelines.
• Innovate AI/ML Testing: Independently devise and implement innovative testing approaches and methodologies tailored for complex AI/ML systems, including prompt engineering, RAG architectures, entity resolution, and data quality processes, with minimal guidance.
• Build Automation Frameworks: Lead the design, development, and deployment of early-stage, robust automation-driven quality assurance frameworks and processes from the ground up, capable of scaling with our product's rapid evolution.
• Integrate CI/CD: Implement and maintain continuous integration and continuous deployment (CI/CD) workflows for QA, specifically utilizing GitHub Actions, to ensure rapid feedback cycles and seamless product delivery.
• Full-Stack Quality Assurance: Conduct comprehensive testing across the full stack, from data ingestion and transformation pipelines, through AI/ML model inference, to API endpoints and user interfaces, ensuring end-to-end quality.
• Collaborate & Influence: Work effectively within a lean, cross-functional team including Product Managers, Data Scientists, and Data/ML Engineers, embedding quality throughout the development lifecycle and advocating for best practices.‍
• Problem Solve & Adapt: Tackle complex technical challenges with strong problem-solving abilities, thriving in the dynamic, rapidly-evolving environment of a startup organization.

What we're looking for

• 5+ years of hands-on experience as a Quality Assurance Engineer, with a significant focus on data-intensive applications, AI/ML systems, or enterprise SaaS products.
• Proven expertise as a Full Stack QA engineer, capable of developing and implementing comprehensive testing strategies across backend, data, and frontend components.
• Demonstrated ability to design and implement innovative testing approaches for AI/ML systems, understanding the nuances of model performance, bias, data drift, and LLM-specific testing challenges.
• Extensive experience in developing and deploying automation-driven testing frameworks (e.g., Pytest, Selenium, Playwright, API testing tools).
• Proficiency in building and managing CI/CD pipelines utilizing GitHub Actions for automated testing and deployment.
• A highly self-directed professional with strong problem-solving abilities, comfortable owning ambiguous workstreams and delivering high-quality results independently.
• Solid understanding of software development methodologies (e.g., Agile, Scrum) and best practices for quality assurance in a fast-paced environment.
• Excellent communication and collaboration skills, with the ability to articulate technical issues clearly and work effectively with diverse teams.

Nice-to-have

• Hands-on experience with the Databricks platform (e.g., Delta Lake, MLflow, Databricks SQL Analytics).
• Familiarity with cloud platforms such as AWS & Azure for AI/ML deployments and data infrastructure.
• Experience with Master Data Management (MDM), Entity Resolution, or data quality concepts.
• Knowledge of Python for test automation and data validation.

About LakeFusion

LakeFusion is the modern Master Data Management (MDM) company. Global enterprises across industries ranging from retail to manufacturing and financial services rely on the LakeFusion platform to unify, govern, and deliver trusted data entities such as customers, products, suppliers, and employees. Built natively on the Databricks Lakehouse, LakeFusion creates a single source of truth that powers analytics and AI. LakeFusion enables organizations worldwide to accelerate innovation with trusted and governed data.