ironSource, part of Unity, is a leading large-scale ad network at the forefront of advertising technology. We are looking for a highly skilled and experienced Senior Software Engineer to join our backend team.
In this role, you will leverage your expertise in distributed systems, data engineering, and software development to design, build, and deploy high-performance solutions. You will take a leading role in developing and maintaining a cutting-edge online machine learning system powered by PyTorch/Tensorflow models and Triton inference server.
This is an opportunity to work on complex, large-scale systems that serve billions of requests, shaping the future of ad tech and ML-driven optimization.
What you'll be doing
Architect and Build: Design, develop, and deploy robust, scalable, and high-performance distributed systems that form the backbone of ironSource's next-generation ML ad network.
Real-Time Ad Serving: Engineer and optimize critical systems for real-time ad serving, enabling machine learning models to make intelligent, low-latency decisions for optimal ad selection.
ML Infrastructure Innovation: Drive the evolution of our ML capabilities by researching, evaluating, and implementing cutting-edge techniques for feature stores, data aggregation, and model serving infrastructure.
Data Pipeline Engineering: Collaborate closely with data scientists and product managers to design, build, and maintain efficient and reliable data lakes and data pipelines, ensuring high-quality data for ML training and analytics.
Operational Excellence: Take ownership of key system components, ensuring their reliability, performance, and scalability in a production environment through proactive monitoring and continuous improvement.
Requirements: What we're looking for
5+ years of backend development experience with strong skills and a genuine passion for server-side technologies.
Proven experience building and maintaining large-scale, low-latency, distributed systems.
Solid understanding of service lifecycle management and efficient resource utilization.
Hands-on experience with machine learning integration in production systems.
Proficiency in backend programming languages such as Java and Scala
Familiarity with cloud platforms (AWS, GCP, or Azure) and container orchestration (Docker, Kubernetes).
Strong problem-solving skills, ownership mindset, and ability to thrive in high-impact environments.
You might also have
Experience with ML frameworks such as TensorFlow, PyTorch.
Experience with inference servers such as Triton, TensorFlow Serving.
.המשרה מיועדת לנשים ולגברים כאחד