Software Engineer - Machine Learning Group

About the Team
At Trendyol Tech, our mission is to create a positive impact in our ecosystem by enabling commerce through technology.
We solve complex problems with data, creativity, and agility — always driven by real outcomes. With a culture built on learning, collaboration, and ownership, we grow together while building what’s next.

About the Role
As a Backend Engineer in the Machine Learning Group, you will build the systems that turn raw data into smart, reliable, and production-ready features used across our AI models and applications. You’ll design and develop scalable data and backend services that support model training, feature storage, and real-time inference. Working closely with Data Scientists and other engineers, you’ll ensure our models get high-quality, consistent inputs that improve performance and enable data-driven business decisions.

Responsibilities:
• Design and implement robust and scalable backend services using modern software stack.
• Collaborate closely with product managers to ensure seamless integration and meet business requirements.
• Write clean, maintainable, and efficient code.
• Develop well-designed APIs to interface with frontend services, databases, and other third-party services.
• Monitor system performance and identify bottlenecks, bugs, and ways to improve backend efficiency and speed.
• Implement security and data protection best practices.
• Conduct code reviews, ensuring high-quality code.
• Stay updated with current best practices in software development and introduce them to our processes.

Expected Qualifications:
• 3+ years of experience in backend development, with a focus on Go, Java, kotlin, .Net etc.
• Strong knowledge of modern programming languages, paradigms, constructs, and idioms.
• Strong understanding of system architecture, object-oriented design, and design patterns.
• Knowledge of common concurrency and async communication patterns.
• Experience with databases (SQL or NoSQL)
• Experience with working on high volume of data.
• Proficient understanding of code versioning tools, such as Git.
• Knowledge and practical usage of CI/CD pipelines

• Nice-to-haves
• Knowledge of Docker and Kubernetes
• Knowledge of Feature Stores
• Experience on Flink DataStream framework
• ML engineering practices including but not limited to model training, ML pipelines and inference services

What We Offer
- Hybrid working model with flexibility: a schedule that helps you find the right balance between flexibility and team bonding, including work-from-abroad opportunities and a summer working model.
- Customisable FlexBenefits budget: Adjust your daily meal allowance, choose your health insurance package (and extend it to your spouse or children), and pick from additional benefits like fuel support or Trendyol shopping credits.
- Well-being support: Access to location-based in-house doctors, as well as psychologist and dietitian support, and HPV vaccination provision.
- Personalised training allowance and learning opportunities: Use your annual budget for any training or conference of your choice, explore our Learning Management System (LMS) anytime, and join in-person learning sessions offered throughout the year.
- Responsibility from day one: Take full ownership from the start in a culture where every voice is heard and valued.
- A diverse, international team: Collaborate with global peers across our offices in Berlin, Amsterdam, Dubai, and beyond, in a startup-spirited and collaborative environment.
- Opportunities to grow with the best: Tackle meaningful challenges, develop through hands-on experience, and grow with the support of expert guidance and global mentoring.
- Meaningful connections beyond tasks: Be part of team rituals, events, and social activities that help us stay connected and inspired.

Take the Next Step
If this role excites you, apply today, we look forward to taking the next step with you.
Want to get to know the team better first? Explore our Career Website, LinkedIn, or YouTube to learn more about #LifeatTrendyol and how we work.