Ali is available for hire
Hire AliAli Boztemir
Verified Expert in Engineering
Quality Assurance (QA) Engineer and Developer
Seville, Spain
Toptal member since June 1, 2026
Bio
Ali is a QA architect and lead with 15+ years of experience in banking, fintech, telecom, and cloud. He specializes in legacy restoration and designing enterprise architectures—covering UI, API, database, ETL, and integration layers—by integrating AI-driven solutions, LLMs, and model validation. Ali combines hands-on engineering with technical leadership to improve release quality through shift-left testing, CI/CD quality gates, and automated data validation in distributed systems.
Portfolio
Arsys
Java, Spring Boot, Playwright, TypeScript, Jenkins, AWS IoT, Docker, Ansible...
Santander Corporate & Investment Banking
Java, Python, Selenium, Playwright, REST Assured, Micro Focus ALM, Oracle...
Solera
Java, Selenium, REST Assured, RestSharp, Jenkins, Bamboo, Octopus Deploy...
Experience
- Quality Assurance (QA) - 16 years
- Test Automation - 15 years
- Selenium - 14 years
- Java - 11 years
- Data Validation - 10 years
- DevOps - 7 years
- C# - 7 years
- Playwright - 4 years
Preferred Environment
Java, Playwright, Selenium, C#, Python, DevOps, Test Automation, API Testing, Database Testing, AI Testing
The most amazing...
...success has been helping organizations build a quality culture by aligning teams, improving engineering practices, and making quality a shared responsibility.
Work Experience
QA Architect and Technical Team Lead
2025 - PRESENT
Arsys
- Spearheaded and scaled a team of seven quality assurance engineers, establishing code review workflows and automation standards across the department.
- Built a Java and Playwright-based end-to-end platform that automated 54% of complex business workflows across APIs, databases, SAP integrations, and reporting systems.
- Expanded tax and invoice validation from country-specific checks to a multi-country automation suite, identifying critical billing issues in markets such as Italy and the Canary Islands.
- Automated billing verification processes that were previously validated through manual spot checks, providing consistent regression coverage across global regions.
- Architected AI-driven quality engineering workflows using n8n and OpenAI (GPT-4) to automate test scenario generation and log anomaly detection, significantly enhancing regression coverage and accelerating root-cause analysis.
- Shifted quality responsibility left by embedding automated quality gates into CI/CD pipelines and aligning testing practices across distributed teams in Germany and Spain.
Technologies: Java, Spring Boot, Playwright, TypeScript, Jenkins, AWS IoT, Docker, Ansible, CI/CD Pipelines, GoCD, API Testing, UI Testing, SAP, Integration Testing, E2E Testing, REST Assured, JUnit, Test Automation Architecture, System Integration Testing (SIT), Oracle, PostgreSQL, SQL, ETL Testing, Data Integrity Testing, Data Validation, Test Data, Data Migration Testing, Database Testing, Data Quality, Databases, Data-driven Testing, AI Testing, LLM Integration, Agentic AI, n8n, OpenAI, Data Warehousing, Data Warehouse Testing, Log Analysis, REST APIs, Automated Testing, Pipelines, Sumo Logic, Quality Assurance (QA), QA Automation, Data Pipelines, Observability, Monitoring, Manual QA, Technical Leadership, Test Cases, Team Management, APIs
QA Consultant and Test Automation Architect
2024 - 2025
Santander Corporate & Investment Banking
- Established testing standards across five Agile teams, creating a structured quality process in an environment without a dedicated QA function.
- Defined technical test strategies and automation roadmaps across multiple banking domains.
- Designed and implemented API, UI, and ETL automation solutions, executing distributed test workloads through Kubernetes and GitHub Actions.
- Built automation framework prototypes to demonstrate how banking workflows could be validated across databases, APIs, user interfaces, and external services.
- Directed data quality initiatives by validating ETL workflows, data transformations, and consistency across Databricks, Hadoop, Oracle, and AWS S3 environments.
- Collaborated with business analysts and engineering teams to introduce end-to-end validation approaches covering data, integrations, and business workflows.
Technologies: Java, Python, Selenium, Playwright, REST Assured, Micro Focus ALM, Oracle, Databricks, Hadoop, Jenkins, GitHub Actions, Kubernetes, Apache Kafka, RabbitMQ, Amazon S3 (AWS S3), Amazon CloudWatch, JUnit, Cloudera, Jira Xray, Postman, Newman, Pandas, Test Automation Architecture, Data Quality, Big Data, Pytest, Cucumber, AWS IoT, Spring Boot, ETL, ETL Testing, Data Validation, Data Integrity Testing, Database Testing, SQL, Control-M, Data-driven Testing, Data Warehouse Testing, Data Engineering, Data Warehousing, Log Analysis, REST APIs, Automated Testing, Parquet, Pipelines, Sumo Logic, Quality Assurance (QA), QA Automation, Data Pipelines, Observability, Monitoring, Manual QA, Technical Leadership, Test Cases, Team Management, APIs
Lead Software Development Engineer in Test (Lead SDET)
2022 - 2024
Solera
- Revived a large-scale automation framework that had been disabled following a company acquisition, restoring automated validation across critical business workflows.
- Restored integration, smoke, E2E, API, and UI test suites by resolving framework, synchronization, test data, and environment issues introduced during the transition.
- Re-established automated execution in CI/CD pipelines, increasing automated test coverage to approximately 75% and reducing reliance on manual regression testing.
- Enabled teams to detect regression issues earlier by restoring continuous test execution and replacing limited manual happy-path validation with broader automated coverage.
- Headed the QA Chapter for 15 engineers across seven Scrum teams, supporting framework adoption and automation ownership across the organization.
- Standardized automation workflows across Java and C# ecosystems by refactoring shared framework components and reducing maintenance overhead.
Technologies: Java, Selenium, REST Assured, RestSharp, Jenkins, Bamboo, Octopus Deploy, AWS IoT, Docker, Kubernetes, TestRail, Apache Kafka, RabbitMQ, JUnit, C#, NUnit, xUnit, Selenium Grid, SQL Server, Grafana, Amazon CloudWatch, Amazon S3 (AWS S3), Ansible, SonarQube, SpecFlow, SQL, Test Data, Databases, Database Testing, Data Validation, Data Quality, Data Migration Testing, Data Integrity Testing, Mobile App Testing, Appium, Azure DevOps, Data Warehouse Testing, Log Analysis, REST APIs, Automated Testing, Pipelines, Sumo Logic, Quality Assurance (QA), QA Automation, Observability, Monitoring, Mobile Apps, Mobile Device QA Automation, React Native, React Native Testing Library, Manual QA, Technical Leadership, Test Cases, Team Management, APIs
Staff Software Development Engineer in Test (Staff SDET)
2021 - 2022
Vngrs
- Built Espresso and XCUITest native mobile and API test automation frameworks for Derayah Digital Bank to scale test coverage across core banking features.
- Conducted model evaluation and linguistic benchmarking for LLM-based AI assistants, performing comparative analysis against industry-leading models to ensure response accuracy and contextual relevance.
- Introduced contract testing with Pact to enforce API compatibility and prevent breaking changes across microservices.
- Architected testing solutions for AWS-based products, including beacon simulation and indoor navigation engines for location-based services.
- Guided the QA Chapter, mentoring engineers and standardizing automation approaches across multiple cross-functional teams.
- Developed automated pipelines incorporating UI, API, data validation, and Gatling and k6 performance tests directly into the deployment workflows.
Technologies: Java, Kotlin, Appium, Espresso, XCUITest, REST Assured, Pact, AWS IoT, Jenkins, Docker, Kubernetes, Google Cloud, Gatling, Grafana k6, Apache Kafka, JUnit, Swift, Mobile App Testing, API Testing, Contract Testing, Ansible, PostgreSQL, GitLab, BrowserStack, Kibana, Big Data, SQL, Database Testing, Data-driven Testing, Test Data, Data Validation, Data Integrity Testing, Agentic AI, AI Testing, LLM Integration, AI Evaluation, Model Validation, Large Language Models (LLMs), OpenAI, AI Agents, Log Analysis, REST APIs, Automated Testing, Pipelines, Sumo Logic, Quality Assurance (QA), QA Automation, Observability, Monitoring, Mobile Apps, Mobile Device QA Automation, Manual QA, Technical Leadership, Test Cases, Team Management, APIs
QA Team Lead and Test Automation Architect
2019 - 2021
Solvoyo
- Architected an automation-first framework using C# and SpecFlow, increasing regression coverage from roughly 20% to full automated execution.
- Reduced full-suite regression testing from three days to four hours, cutting release cycles by approximately 40% and enabling monthly releases.
- Shifted testing left by enabling developers to run automation suites locally, helping identify issues earlier in the development cycle before code reaches the master branch.
- Designed and executed a parity testing framework to validate AI-driven forecasting and supply chain optimization models by comparing production C# algorithmic outputs against Python and Pandas-based models to ensure statistical accuracy and reliability.
- Oversaw a team of four QA engineers, standardizing testing approaches and promoting shared quality ownership across Scrum teams.
- Integrated performance testing into GitLab CI/CD pipelines using Grafana k6, enabling automated performance validation before releases.
Technologies: C#, Selenium, Python, Pytest, Pandas, NumPy, GitLab, Docker, AWS IoT, SonarQube, TestRail, SQL Server, SpecFlow, RestSharp, AI/ML Workloads, AI Algorithms, Kibana, Grafana k6, MongoDB, SQL, Database Testing, Data-driven Testing, Test Data, Data Validation, Data Integrity Testing, Data Quality, ETL Testing, ETL, Big Data, Data Migration Testing, NoSQL, AI Testing, Model Validation, Data Warehousing, Data Warehouse Testing, Data Engineering, Log Analysis, REST APIs, Automated Testing, Parquet, Pipelines, Sumo Logic, Quality Assurance (QA), QA Automation, Data Pipelines, Observability, Monitoring, Manual QA, Technical Leadership, Test Cases, Team Management, APIs
Test Architect and DevOps Lead
2018 - 2019
Sqills
- Defined technical test strategies for multiple Agile teams, standardizing automation frameworks and CI/CD practices across projects.
- Designed Java and Cucumber-based back-end frameworks and Cypress automation solutions covering microservices, APIs, and web applications.
- Architected fully containerized test environments using Docker and Kubernetes, enabling isolated and repeatable test executions across engineering teams.
- Embedded performance testing with Gatling and static code analysis via SonarQube directly into Jenkins CI/CD pipelines.
- Worked with development teams to integrate automated testing into daily delivery workflows, reducing manual validation effort across projects.
Technologies: Java, REST Assured, Cucumber, Cypress, Docker, Kubernetes, Jenkins, Gatling, SonarQube, AWS IoT, TestNG, Newman, PostgreSQL, Selenium, JUnit, Amazon S3 (AWS S3), Grafana, TestRail, Spring Boot, Ansible, Kibana, SQL, Data Migration Testing, Database Testing, Data-driven Testing, Test Data, Data Validation, Data Integrity Testing, Data Quality, Redis, NoSQL, Log Analysis, REST APIs, Automated Testing, Pipelines, Sumo Logic, Quality Assurance (QA), QA Automation, Observability, Monitoring, Manual QA, Technical Leadership, Test Cases, Team Management, APIs
Test Automation Architect
2015 - 2018
TEB
- Defined test automation strategies and drove tool selection for long-term enterprise automation initiatives.
- Established shared automation foundations across core banking projects, reducing fragmented testing workflows.
- Developed and maintained automated test solutions using C#, Selenium, and HP UFT for enterprise applications.
- Configured CI/CD pipelines using Team Foundation Server (TFS) to embed automated testing into deployment processes.
- Collaborated closely with development and QA teams to integrate automated testing into enterprise delivery workflows.
Technologies: C#, Selenium, Micro Focus ALM, HP UFT, SpecFlow, Oracle, SQL Server, TFS, RestSharp, NUnit, VBScript, Azure, IBM Db2, xUnit, SQL, Database Testing, Data-driven Testing, Test Data, Data Validation, Data Integrity Testing, Data Quality, ETL Testing, ETL, Data Migration Testing, Mobile App Testing, Appium, Azure DevOps, Log Analysis, REST APIs, Automated Testing, Pipelines, Quality Assurance (QA), QA Automation, Mobile Apps, Mobile Device QA Automation, Manual QA, Technical Leadership, Test Cases, Team Management, APIs
QA Team Lead
2013 - 2015
Workcube
- Established the QA department from the ground up, introducing testing frameworks, standards, and engineering practices across the company.
- Directed QA teams across multiple ERP business modules and integration projects, coordinating test planning, execution, and release validation activities.
- Automated more than 170 ERP test scenarios using Java, Selenium WebDriver, and Jenkins, reducing manual testing effort.
- Executed functional, non-functional, and load testing using Apache JMeter to validate enterprise ERP application performance.
- Established version control workflows using Git and optimized test data preparation within SQL Server environments.
Technologies: Java, Selenium, JUnit, TestNG, Apache JMeter, SQL Server, Git, Enterprise Resource Planning (ERP), Ansible, SQL, Database Testing, Test Data, Data Migration Testing, Couchbase, NoSQL, Log Analysis, REST APIs, Automated Testing, Pipelines, Quality Assurance (QA), QA Automation, Data Pipelines, Manual QA, Technical Leadership, Test Cases, Team Management, APIs
Software Test Engineer
2010 - 2013
Turkcell Global Bilgi
- Created and executed comprehensive test plans, test cases, and execution reports for enterprise CRM and core integration projects.
- Developed more than 250 automated test scripts using Java and Selenium for a large-scale CRM platform.
- Executed functional, integration, and load testing using SoapUI and Apache JMeter across customer-facing web applications.
- Validated complex end-to-end business workflows by driving integration testing across telecom CRM, IVR, and billing back-office systems.
- Utilized Unix environments and shell scripting alongside Oracle and SQL Server database validation for back-end testing.
Technologies: Java, Selenium, Apache JMeter, SoapUI, TFS, Oracle, SQL Server, Unix, Shell, Interactive Voice Response (IVR), Micro Focus ALM, HP QuickTest Professional (QTP), VBScript, JUnit, SQL, Database Testing, Data Validation, Data Integrity Testing, Test Data, Data-driven Testing, Mobile App Testing, Data Warehouse Testing, Log Analysis, REST APIs, Automated Testing, Quality Assurance (QA), QA Automation, Data Pipelines, Monitoring, Manual QA, Test Cases, Team Management, APIs
Experience
Enterprise End-to-end Test Automation Framework
https://www.ionos.comI built an enterprise test automation framework to validate complex business workflows across APIs, databases, web applications, SAP integrations, reporting services, PDF generation, and cloud-based components.
The framework automated approximately 54% of end-to-end test scenarios and was used to verify business processes spanning multiple systems. It enabled faster regression cycles and more consistent validation from a single automation platform.
The framework automated approximately 54% of end-to-end test scenarios and was used to verify business processes spanning multiple systems. It enabled faster regression cycles and more consistent validation from a single automation platform.
Enterprise Big Data Test Automation Platform
https://www.santandercib.com/esI created an automated validation solution for a large-scale investment banking data platform covering Oracle, AWS S3, Databricks, Control-M, REST APIs, and web applications.
The framework generated test data, triggered ETL processes, validated data transformations, and verified results across multiple system layers. Java was used for workflow orchestration and validation, while Python was used for data extraction and analysis. The solution enabled automated validation of complex data pipelines and business-critical reporting processes across the platform.
The framework generated test data, triggered ETL processes, validated data transformations, and verified results across multiple system layers. Java was used for workflow orchestration and validation, while Python was used for data extraction and analysis. The solution enabled automated validation of complex data pipelines and business-critical reporting processes across the platform.
DevOps-driven Test Automation Platform
https://www.sqills.comI architected a DevOps-driven test automation platform to support CI/CD workflows across multiple Agile teams.
The platform provisioned containerized test environments, executed integration, API, and UI test suites, and published consolidated test results through a centralized reporting solution. Built using Docker, Java, Selenium, REST Assured, Cucumber, Postman, Newman, and TestNG, it automated key validation steps within the deployment pipeline and enabled repeatable test execution across different environments.
The platform provisioned containerized test environments, executed integration, API, and UI test suites, and published consolidated test results through a centralized reporting solution. Built using Docker, Java, Selenium, REST Assured, Cucumber, Postman, Newman, and TestNG, it automated key validation steps within the deployment pipeline and enabled repeatable test execution across different environments.
Education
2003 - 2013
Bachelor's Degree in Computer Engineering
Yildiz Technical University - Istanbul, Turkey
Certifications
APRIL 2019 - PRESENT
ISTQB Advanced Level Test Manager Course
Keytorc Software Testing Services
Skills
Libraries/APIs
REST APIs, Playwright, Newman, Selenium Grid, Pandas, NumPy, React Native Testing Library
Tools
REST Assured, Jenkins, Pytest, Postman, Apache Maven, Sumo Logic, Ansible, RestSharp, TestRail, Gatling, SonarQube, Cucumber, TFS, Apache JMeter, Git, SoapUI, Shell, Amazon CloudWatch, xUnit, Jira, Bamboo, RabbitMQ, Grafana k6, GitLab, Kibana, HP QuickTest Professional (QTP), Control-M, Jira Xray, Cloudera, Grafana, BrowserStack, n8n
Languages
Java, C#, SQL, TypeScript, JavaScript, Python, Kotlin, VBScript, Swift
Frameworks
Selenium, JUnit, Spring Boot, Appium, SpecFlow, TestNG, NUnit, Swagger, Hadoop, Espresso, XCUITest, Cypress, Spark, React Native
Paradigms
DevOps, Software Testing, Test Automation, E2E Testing, Agile, Data-driven Testing, Azure DevOps, Automated Testing, ETL, Load Testing
Storage
Database Testing, Data Validation, Data Pipelines, Databases, PostgreSQL, Amazon S3 (AWS S3), Google Cloud, MongoDB, IBM Db2, Redis, NoSQL, Couchbase
Platforms
AWS IoT, Docker, Kubernetes, Oracle, Azure, Linux, Databricks, Apache Kafka, Unix
Other
CI/CD Pipelines, SDET, Quality Assurance (QA), API Testing, Test Management, Testing Strategy, QA Leadership, UI Testing, Integration Testing, Mobile App Testing, Test Automation Architecture, System Integration Testing (SIT), Web App Testing, Test Data, Data Integrity Testing, ETL Testing, QA Automation, Regression Testing, Log Analysis, Pipelines, Observability, Monitoring, Manual QA, Technical Leadership, Test Cases, Team Management, APIs, Software Engineering, Cloud Computing, Micro Focus ALM, GitHub Actions, SQL Server, HP UFT, Data Quality, Groovy Scripting, Big Data, Performance Testing, Model Validation, LLM Integration, Agentic AI, OpenAI, AI Evaluation, AI Agents, Release Management, Parquet, ISTQB, Mobile Apps, Mobile Device QA Automation, AI Algorithms, GoCD, Octopus Deploy, Pact, AI/ML Workloads, Enterprise Resource Planning (ERP), Interactive Voice Response (IVR), SAP, Contract Testing, Data Migration Testing, AI Testing, Large Language Models (LLMs), Data Warehouse Testing, Data Warehousing, Data Engineering
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