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We are looking for an experienced and passionate Staff Backend Software Engineer

to join a rapidly growing team. In this role, you will lead the design and evolution of our large-scale, real-time infrastructure that powers global in-app advertising.

Youll tackle complex engineering challenges and drive the design of systems built for massive scale, reliability, and performance. As a hands-on technical leader, youll influence architecture and implementation decisions that define the future of LevelPlays infrastructure.

This is a great opportunity for experienced professionals who have a strong background in backend development and a deep understanding of large-scale distributed systems. If you're passionate about tackling complex technical challenges and building products that reach a massive global audience, this role is for you.

What you'll be doing
Lead the design and development of large-scale, low-latency, high-throughput systems that power real-time ad bidding and delivery.
Define and drive technical strategy and long-term architecture for LevelPlays core infrastructure.
Collaborate cross-functionally with product, data, and ad network integration teams to deliver impactful solutions that scale globally.
Mentor and guide engineers, fostering a culture of technical excellence, ownership, and continuous improvement.
Investigate and resolve complex system challenges, optimizing performance, reliability, and cost efficiency.

Join the Levelplay Platform team, a core part of Unity's Grow department. Levelplay is a leading mediation tool, and our platform team is at the heart of the business, responsible for gathering and managing all mediation configurations for our publishers. This is a high-impact role on a team that operates at a high scale, working on a client-facing platform with a large number of product responsibilities. You will be a key player in building high-scale services and delivering critical data to Unity teams via robust data pipelines.
What you'll be doing
Own and lead the end-to-end development of new features, from initial PRD to final execution and delivery.
Design, build, and maintain high-scale microservices.
Collaborate effectively with product teams and other engineering teams to make sound technical decisions.
Take full ownership of projects, leading them independently or guiding other team members.

As a CPU Workload Analysis Researcher within Google Cloud's MSCA organization, you will be integral to developing silicon solutions powering Google's direct-to-consumer products. You will join a Research and Development team focused on analyzing and profiling workloads requirements within the Google Cloud environment. Your role will involve conducting in-depth research on CPU optimization, feature development, and ML usages over compute platforms, contributing to identifying key areas of investment and future opportunities. This role offers a unique opportunity to perform groundbreaking research with a significant impact on both research methodologies and industry products, within the server chip architecture team. Your work will directly influence the next generation of hardware experiences for millions of Google users and Cloud customers.

The AI and Infrastructure team is redefining whats possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.

We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.

Responsibilities
Plan and execute detailed analysis of CPU workloads within the Google Cloud infrastructure, analyze trends and map future requirements.
Collaborate closely with architecture and modeling owners to understand design specifications and identify critical scenarios related to CPU performance and efficiency.
Develop and implement custom workload generation tools and methodologies to simulate real-world usage patterns on Google Cloud platforms.
Analyze the impact of machine learning applications on CPU usage, identifying opportunities for optimization and feature enhancements.
Lead the investigation and development of metrics to measure CPU performance and efficiency, presenting findings to stakeholders and contributing to strategic decisions.

We're the driving force behind Google's groundbreaking innovations, empowering the development of our AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.

Responsibilities
Plan and execute detailed analysis of CPU workloads within the Google Cloud infrastructure, analyze trends and map future requirements.
Collaborate closely with architecture and modeling owners to understand design specifications and identify critical scenarios related to CPU performance and efficiency.
Develop and implement custom workload generation tools and methodologies to simulate real-world usage patterns on Google Cloud platforms.
Analyze the impact of machine learning applications on CPU usage, identifying opportunities for optimization and feature enhancements.
Lead the investigation and development of metrics to measure CPU performance and efficiency, presenting findings to stakeholders and contributing to strategic decisions.

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.

We are seeking a seasoned R&D Group Manager to lead a group of talented engineers in designing and building scalable data pipelines and cloud-native applications. This role is perfect for an experienced and proactive person with outstanding leadership skills. The ideal candidate is a team player who has a passion for data processing and applications at a large scale. This is an amazing opportunity to join a growing product in an enterprise company with ample opportunities for professional growth.

This job is located in Tel Aviv (hybrid).

Key Responsibilities
Lead and mentor multiple engineering teams focused on data infrastructure, backend services, and cloud-native applications
Architect and oversee the development of robust, scalable data pipelines and real-time data processing systems
Drive the design and implementation of microservices and serverless applications using AWS (e.g., Lambda, ECS, S3, MongoDB) and Azure (ADX)
Collaborate with product managers, data scientists, and other stakeholders to translate business requirements into technical solutions
Ensure high standards of software quality through code reviews, testing, and automation
Foster a culture of innovation, ownership, and continuous improvement within the group
Manage hiring, performance reviews, and career development for team members

We are looking for a talented Senior Backend Developer to join our Infrastructure Team, supporting the server-side foundation of our mobile security product. Our team builds and maintains the core microservices and backend infrastructure that power protection, monitoring, and real-time decision-making for millions of mobile devices worldwide.

You will work in a hybrid environment, collaborating closely with highly skilled engineers within an agile, sprint-based process. This role is central to ensuring the performance, reliability, and scalability of our backend ecosystem, enabling seamless integration with mobile clients and supporting global, multi-region deployments.

Key Responsibilities
Design, develop, and maintain high-quality backend microservices and internal infrastructure components for our large-scale platform.
Own features end-to-end in an agile CI/CD environmentarchitecture, implementation, testing, deployment, and ongoing improvement.
Ensure the scalability, reliability, and resilience of infrastructure services supporting a rapidly growing global user base.
Work extensively with distributed systems, including technologies such as PostgreSQL, Redis, RabbitMQ, and Elasticsearch, optimizing performance and resource usage.
Implement and uphold observability best practices (metrics, logs, tracing) using tools like Prometheus and Grafana to maintain system health and diagnose issues quickly.
Collaborate closely with product managers, client-side developers, and DevOps teams to deliver robust, secure, and efficient infrastructure capabilities.
Drive continuous improvement by evaluating and adopting new tools, frameworks, and architectural patterns that contribute to operational excellence.
Mentor and guide other engineers, contributing to a culture of technical leadership, ownership, and knowledge sharing.

We are seeking a Senior Full Stack Engineer with strong experience designing and building scalable microservices and server-side applications. This role requires deep expertise in Java, React, and AWS, as well as solid understanding of modern architectural patterns.

Youll play a key role in developing our next-generation, multi-tenant system building cloud-native services from the ground up while supporting and improving our existing product. Youll also contribute to architectural direction and mentor other engineers on the team.

Key Responsibilities
End-to-end development of software components/services (research, design, development, testing, rollout, monitoring).
Contribute to technological and architectural decisions.
Mentor other engineers in the team (via code reviews, dedicated sessions, pair programming, etc.).
Analyze and improve efficiency, scalability, and stability of various components in our system.
Collaborate with Designers, Product Managers, and Software Engineers to deliver the best product to our customers.