Job Title:
Senior QA Engineer
Location:
Urla, Izmir
About Efsora:
We are a fast-growing software and AI development company that partners with innovative enterprises and scaleups to deliver large, cutting-edge R&D; projects.
Our teams work as extensions of our clients' internal R&D;, combining advanced technology expertise, AI-centric engineering, and agile development to build impactful solutions.
We focus on augmenting our clients' R&D; capabilities, accelerating innovation, and managing technical risks from early-stage prototyping to full-scale deployment.
As part of our team, you'll work on exciting, high-stakes projects that shape the future of industries, collaborate with top-tier talent, and grow your skills at the frontier of AI and software development.
The Opportunity:
We are seeking a highly skilled and proactive QA Engineer to join our engineering team.
This is a critical role for an individual passionate about ensuring the highest quality in cutting-edge web applications that integrate real-time data processing, advanced AI-driven features, and robust backend services.
As a key contributor, you will work hand-in-hand with our Full-Stack Developers, AI Engineers, and Product Managers to design, implement, and maintain comprehensive automated test solutions that validate the integrity, performance, and reliability of our innovative systems.
You will play a pivotal role in maintaining the high standards expected from our AI-powered products.
What You'll Do:
Test Strategy & Automation:
Design, develop, and maintain robust, scalable, and efficient automated test frameworks and scripts for both front-end (UI) and back-end (API, microservices) components.
AI/ML Feature Testing:
Develop specialized tests to validate AI model integration, data pipelines feeding AI, inference accuracy, output quality, and edge case behavior of AI-driven features.
This includes testing for data consistency, model drift, and intelligent user interactions.
End-to-End Quality: Lead the development and execution of comprehensive functional, integration, regression, performance, and security tests across the entire application stack.
CI/CD Integration:
Integrate automated tests into our continuous integration and continuous deployment (CI/CD) pipelines to enable rapid feedback and maintain high code quality standards.
Performance & Scalability Testing:
Design and execute performance, load, and stress tests to identify bottlenecks and ensure applications can handle high traffic and data volumes.
Security Testing:
Collaborate with development to ensure robust security implementations by testing authentication (OAuth, SAMLv2, JWT), authorization (RBAC), and data privacy controls.
Collaboration & Advocacy:
Work closely with developers, participating in design reviews and code reviews, advocating for testability, and promoting a quality-first mindset throughout the development lifecycle.
Problem-Solving & Debugging:
Perform thorough root cause analysis of defects, collaborate with development teams to resolve issues, and ensure proper defect tracking and resolution.
Innovation:
Stay abreast of the latest advancements in QA methodologies, test automation tools, and AI testing strategies, bringing new ideas and best practices to the team.
What We're Looking For:
Experience: 5+ years of professional experience in Quality Assurance, with a strong focus on test automation for complex, distributed web applications.
Programming Expertise:
Strong proficiency in JavaScript/TypeScript and Python for developing and maintaining test automation frameworks.
Test Automation Tools:
Hands-on experience with modern UI test automation frameworks (e.g., Cypress, Playwright) and API testing frameworks (e.g., Jest, Pytest, SuperTest).
API Testing:
Solid experience designing and executing tests for RESTful/GraphQL APIs and microservices.
Cloud & DevOps:
Familiarity with cloud platforms (AWS, Azure, or GCP), Docker, and Kubernetes from a testing perspective, including deploying and managing test environments.
Database Knowledge:
Experience with validating data integrity and consistency across both SQL (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB, Redis, Cassandra) databases.
Performance Testing:
Experience with performance testing tools (e.g., JMeter, k6) and analyzing performance bottlenecks.
Security Testing Awareness:
Understanding of common web security vulnerabilities and experience testing authentication and authorization mechanisms (OAuth, SAMLv2, JWT, RBAC).
AI/ML Testing Acumen:
Demonstrated understanding and practical experience in testing applications that incorporate AI/ML models, including approaches to validate model outputs, data quality, and responsible AI principles.
Problem-Solving:
Excellent analytical skills with a meticulous attention to detail, capable of identifying subtle bugs and complex system interactions.
Communication:
Strong verbal and written communication skills, with the ability to articulate complex technical issues clearly and collaborate effectively across cross-functional teams.
AI-Assisted Testing:
Familiarity with leveraging Generative AI tools (e.g., Claude Code, Cursor, Copilot) to assist in test case generation, test script optimization, or data synthesis.
Premio Points If You Have:
Complex Test Data Management:
Proven ability to strategize, design, and implement advanced test data generation, anonymization, and management solutions for large-scale and dynamic datasets.
Security Testing Acumen:
Hands-on experience with security testing tools and methodologies (e.g., SAST/DAST, fuzz testing, penetration testing concepts) to identify and validate vulnerabilities.
MLOps Quality Assurance:
Understanding of MLOps pipelines and how quality assurance processes, including model validation, bias detection, and continuous monitoring, integrate throughout the AI model lifecycle.
Contributions to Open-Source:
Contributions to open-source test automation projects, frameworks, or a strong GitHub profile showcasing technical prowess.
Fast-Paced Environment Experience:
Experience in a startup or fast-paced, high-tech environment, demonstrating strong adaptability and a proactive approach to quality.