Senior Software Engineer in Test (SDET)

Grid Dynamics; Fatih; On-site; TRY 600,000 - 900,000; Part time

Benefits offered by this job

Competitive salary

Flexible schedule

Professional development opportunities

Job summary

Grid Dynamics in Turkey is seeking a Senior Software Engineer in Test (SDET) to build foundational test frameworks, internal dev tools, and validation pipelines for distributed backend services and ML platforms.

You will design automated quality gates, reduce bottlenecks across the engineering lifecycle, and collaborate with cross-functional teams to implement best practices in testing, CI/CD, and data processing.

Qualifications

• Proficiency in Java or Python and similar programming languages.
• Experience designing and implementing testing frameworks for distributed systems and APIs.
• Strong passion for quality engineering and scalable test approaches.

Responsibilities

• Design, implement and maintain automation tests, testing frameworks, and tooling for backend services and ML pipelines.
• Analyze and apply best practices for CI/CD, coding guidelines, and quality gates.
• Partner with cross-functional teams to drive QA best practices and improve productivity and quality.
• Identify inefficiencies in processes and architecture to reduce risk and enable continuous testing.
• Guide tool analysis and recommend solutions to support tool selection.

Skills

Java/Python

Distributed systems testing

Quality engineering mindset

AI/ML testing experience

Tools

CI/CD tooling

Test automation frameworks

Job description

We are hiring a Senior Software Engineer in Test (SDET) to help build the foundational frameworks, internal developer tools and validation pipelines powering our distributed backend services and machine learning platforms. In this role, you will architect robust test harnesses for distributed architectures, design automated quality gates for Big Data and AI/ML pipelines and eliminate developer workflow bottlenecks across the entire engineering lifecycle.

This is a contractor position.

Overlap until: 12 pm PST.

Responsibilities

• Design, implement and maintain automation tests, testing & development frameworks and tooling to support various backend services and machine learning models and pipelines
• Analyze, recommend, and implement best practices for coding guidelines and design principles, process workflow, quality gates, CI/CD process, etc.
• Partner with cross functional teams to define and drive quality assurance best practices, techniques and methodologies needed to enhance productivity and quality
• Identify process and architecture inefficiencies and help drive improvements while reducing risk, fostering a culture of built-in quality and continuous testing throughout the SDLC
• Guide tool analysis, create proof of concept models, and make recommendations to support the tools selection process.

Requirements

• Proficiency in Java, Python or similar programming languages
• Experience in designing and implementing testing frameworks for distributed systems, service-layer testing, including backend APIs, data processing, and infrastructure components
• Passion for quality engineering and delivering creative approaches for testing machine learning algorithms and large scale distributed data systems
• Experience with testing or working with AI/ML systems or platforms that include ML model training or data pipelines and algorithms is a plus

Nice to have

• Familiarity with database migration tasks and validating API responses
• UI testing skillset
• Knowledge of Big Data systems, Apache Spark

We offer

• Opportunity to work on bleeding-edge projects
• Work with a highly motivated and dedicated team
• Competitive salary
• Flexible schedule
• Professional development opportunities

About Us

Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.