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Key Responsibilities:
Develop, optimize, and maintain front-end components, interfacing with complex systems.
Architect and build scalable, high-performance web applications.
Work with React-based UI frameworks such as Material-UI (MUI) to create responsive and accessible interfaces.
Collaborate closely with designers, back-end developers, and product managers to translate business requirements into functional applications.
Write clean, maintainable, and efficient code while following best practices and coding standards.
Ensure application performance and responsiveness through performance optimization techniques.
Maintain version control and collaborate with the team using Git.

We are looking for a sharp, hands-on DevOps student to join our R&D DevOps team. You will become part of a strong, collaborative team managing the R&D ecosystem and operating our AI platform. Our team acts as the backbone for R&D, orchestrating complex CI/CD and GitOps pipelines from code submission to production.

What youll do:
Develop and maintain CI/CD pipelines using Jenkins.
Automate operational tasks and workflows in our ecosystem.
Support R&D developers with their daily build and version control issues.

Youll work in an awesome environment alongside some of the most innovative people in the industry, using cutting-edge technologies and tools (video editing, Gen AI, data, etc.). At our company, you have the opportunity to directly influence the products and tools used by our clients, including sports giants such as the NBA, Bundesliga, LaLiga, ESPN - and thats just the beginning of what our company has to offer! Join us and be a part of the best team in tech as we Fuel the Fandom worldwide.
What youll do:
Be an integral part of a scrum team together with the R&D team lead, developers, product managers, analysts, and other QA team members. The team owns the ingestion of media into the platform from SFTP, S3, Dropbox, Box, Getty, manual upload, public URLs and more. Ensure the quality of the product by designing and executing tests to identify bugs and working with the developers towards a solution. Work closely with developers to ensure the software meets high-quality standards and delivers an optimal user experience.
Manage the full quality lifecycle (planning, monitoring, and testing) for new and existing features.
Track and monitor the QA and product environment status.
Analyze requirements and design test plans for new features and regression testing.
Execute manual and automated tests according to the designed test plans.
Report and track bugs to a high standard using Jira software.
Monitor the production environment, identify issues, and take the necessary corrective actions for resolution.
Collaborate with developers and other QA team members.
Work with different technologies and tools, including: Azure Cloud, K8S, SQL, Swagger, Postman, Chrome Devtools, Jira, Coralogix, and other internal tools.

We are looking for Cloud Engineer to join our growing Infrastructure cloud team in Tel Aviv and to take part in our effort to improve our product, productivity, security and the ability to scale.

We are looking for a Cloud FinOps Engineer to lead our cloud cost operations and drive financial governance across our multi-cloud environments. While our DevOps team has already established a solid foundation for cost management, we are now seeking a hands-on expert to evolve these processes into a world-class FinOps practice.
In this role, you will bridge the gap between Engineering, Finance, and Business stakeholders. Youll combine technical expertise with strategic leadership to ensure our cloud spend is optimized, predictable, and aligned with our business objectives - all while fostering a culture of shared cost accountability across the organization.
What youll do:
Proactively identify and execute cost-saving opportunities through rightsizing, optimized scaling strategies, lifecycle management, and architectural improvements without impacting performance or velocity.
Collaborate with R&D and DevOps to evaluate the cost-impact of architectural decisions, ensuring cost-by-design is a core part of our infrastructure evolution.
Design and maintain granular visibility into cloud spend, transforming complex data into actionable insights that inform relevant teams and empower them to take ownership of their usage.
Take ownership of cost operations across Azure, AWS, and GCP, establishing consistent tagging policies, automated guardrails, and governance frameworks.
Manage and optimize our portfolio of RIs, Savings Plans, and Spot instances to maximize our cloud ROI.

We are looking for a highly skilled C++ Backend Engineer to join our fullstack team, which is responsible for the companys video encoding and rendering infrastructure. The ideal candidate will have a strong foundation in computer graphics and extensive experience in C++. Your primary responsibility will be to design, develop, and optimize our backend systems for high-performance video rendering, ensuring seamless and high-quality content for our users.
What youll do:
Design, develop, and maintain backend services and APIs that power high-performance video rendering and encoding, with a focus on scalability, reliability, and efficiency.
Optimize algorithms and graphics pipelines to enhance rendering performance and stability while minimizing latency.
Work with cross-functional teams to understand requirements and translate them into high-quality, efficient backend solutions.
Implement best practices for code quality, testing, and documentation to ensure maintainability and scalability of the rendering infrastructure.
Troubleshoot and debug issues in production environments, providing timely resolutions to maintain uninterrupted service.
Stay updated on emerging technologies and trends in computer graphics, video encoding, and backend development, applying them to continuously improve our platform.
Participate in code reviews, architectural discussions, and sprint planning sessions to foster continuous improvement and innovation in our team.

We are looking for Cloud Infrastructure Team Lead to join our growing Infrastructure cloud team in Tel Aviv and to take part in our effort to improve our product, productivity, security and the ability to scale.
What You'll Do:
Focus the vision & annual roadmap of the cloud infrastructure of the company with a big focus on security, reliability, maintainability & self service.
Help service owners create new microservices and deploy them to our different environments.
Work with the team to create the basic IaC building blocks that meet the companys standards.

As a ML Engineering Team Lead at our company, you will lead a multidisciplinary team of algorithm and software engineers responsible for designing, building, and operating the next-generation content creation engine. The team focuses on leveraging agentic systems and advanced ML technologies to orchestrate complex, end-to-end production workflows at scale.
In this role, you will translate high-level product and business goals into robust, production-ready solutions, working hands-on across the full lifecycle - from research and system design to deployment, monitoring, and continuous improvement. You will collaborate closely with Product, Platform, Data, and other R&D teams in a fast-paced, agile environment, ensuring that algorithms and software are seamlessly integrated into real-world, high-throughput systems.
You will combine technical leadership, architectural thinking, and people leadership to drive innovation, execution, and delivery, while shaping how intelligent, automated content is created and scaled across our companys products.
What youll do:
Lead and mentor a multidisciplinary team of algorithm and software engineers, fostering ownership, technical excellence, and professional growth.
Own the delivery of complex, end-to-end systems for automated content creation, from early design and experimentation through production deployment, monitoring, and iteration.
Drive the design and orchestration of agentic systems, working hands-on with the team to integrate ML models, business logic, and software infrastructure across research, engineering, and production at scale.
Translate product and business challenges into technical solutions, defining system architecture, prioritizing initiatives, and guiding execution in an agile environment.
Ensure production readiness and reliability, overseeing deployment, monitoring, performance, and continuous improvement of algorithms and services in a live environment.
Collaborate closely with Product, Platform, Data, and other R&D teams, aligning technical execution with product strategy and business goals in a multidisciplinary setting.
Continuously evolve technically and professionally, encouraging knowledge sharing, joint problem-solving, and awareness of emerging trends in ML, agentic systems, and large-scale software architectures.

Join the SBC (Session Border Controller) Team, where you will be at the heart of our product ecosystem. Our team is responsible for architecting and building the management applications that power all our products.

As a Backend Engineer within our OAM (Operations, Administration, and Maintenance) Infrastructure group, you will dive into a multi-threaded, complex environment. Youll gain a unique, end-to-end perspective of our products by exposing core SBC features through diverse management interfaces, with a primary focus on our robust WEB infrastructure.

Key Responsibilities
Feature Development: End-to-end ownership of new features based on system engineering specifications.
Infrastructure Evolution: Develop and maintain high-performance WEB infrastructure across both Server and Client sides.
Problem Solving: Address and adapt to customer-facing incidents, ensuring high-tier reliability.

We are looking for a Cloud Engineer to join our growing Infrastructure cloud team in Tel Aviv and to take part in our effort to improve our product, productivity, security and the ability to scale.

Youll work in an awesome environment alongside some of the most innovative people in the industry, using cutting-edge technologies and tools (video editing, Gen AI, data, etc.). At our company, you have the opportunity to directly influence the products and tools used by our clients, including sports giants such as the NBA, Bundesliga, LaLiga, ESPN - and thats just the beginning of what our company has to offer! Join us and be a part of the best team in tech as we Fuel the Fandom worldwide.
we are looking for a Computer Vision & Deep Learning Algorithm Developer to join us in research and development of our advanced sports video content understanding engines. If you are passionate about researching state-of-the-art solutions and have a keen eye for simple yet smart solutions - we are looking for you!
What youll do:
Research and develop comprehensive real-time solutions for understanding sports content, utilizing cutting-edge deep learning algorithms for video, audio, and multimodal data analysis.
Full R&D cycle, from problem definition and research to implementation and productization with a high level of autonomy.

Required Software Developer
As a Software Developer you will be responsible to:
Play a key role in designing and implementing infrastructure solutions to support our development and deployment processes.This role requires a versatile individual with strong technical skills, an out-of-the-box thinker, and a passion for solving challenging problems in cloud-based environments.
As part of the role, you will also collaborate on integrating and enabling modern AI-powered tools and services within the development ecosystem, helping teams adopt intelligent automation and emerging technologies where they add clear value.
Develop, maintain, and optimize Node.js -based services and tools for cloud platforms (AWS preferred).
Design and implement scalable and secure infrastructure solutions, leveraging modern cloud technologies.
Build and maintain APIs, microservices, and server-side applications using Node.js
Collaborate with cross-functional teams to integrate CI/CD pipelines and improve deployment efficiency.
Troubleshoot and resolve technical bottlenecks in cloud-based systems.
Contribute to system architecture design and ensure best practices are followed.
Stay up-to-date with emerging technologies and trends to continuously improve development and deployment processes.

We are looking for a skilled Back-End Developer with at least 3 years of experience in Node.js development. The ideal candidate will have a strong understanding of server-side application logic, API development, and database management. You will be responsible for designing, developing, and maintaining scalable back-end services that support high-performance applications.

Key Responsibilities:
Develop and maintain scalable and efficient back-end services using Node.js.
Design and implement RESTful and GraphQL APIs to support front-end applications.
Optimize server-side performance, ensuring low-latency and high-availability of applications.
Work with databases (SQL and NoSQL) for efficient data storage and retrieval.
Implement authentication and authorization mechanisms for secure applications.
Collaborate with front-end developers, product managers, and other stakeholders to deliver high-quality solutions.
Write clean, maintainable, and well-documented code following industry best practices.
Ensure seamless integration with third-party services and APIs.
Maintain version control and collaborate using Git.

Youll work in an awesome environment alongside some of the most innovative people in the industry, using cutting-edge technologies and tools (video editing, Gen AI, data, etc.). At our company, you have the opportunity to directly influence the products and tools used by our clients, including sports giants such as the NBA, Bundesliga, LaLiga, ESPN - and thats just the beginning of what our company has to offer! Join us and be a part of the best team in tech as we Fuel the Fandom worldwide.
The Team & Role we are looking for a talented AI Algorithm Developer to join us in the research and development of our next-generation automatic sports video content engine. Our team operates at the intersection of Computer Vision, NLP, and Audio analysis. We dont just use models; we build multimodal pipelines that understand sports context like a human editor would.
If you are an expert in one of these domains (NLP, CV, or Speech) and are eager to master the others to build state-of-the-art Multimodal AI - we are looking for you!
What youll do:
Research and develop end-to-end real-time solutions for sports content automation using state-of-the-art Deep Learning (LLMs, VLMs, Audio models, and Generative AI).
Collaborate with Computer Vision and Audio experts to fuse different data signals into unified models.
Combine deep language models, Generative AI, and classical ML techniques to create high-quality solutions for demanding product-oriented tasks.
Manage the full R&D cycle: from problem definition and reading papers to implementation, prompt engineering, and productization with high autonomy.
Engage in collaboration with product and success teams to convert business goals into measurable algorithmic objectives.
Write robust, production-grade Python code that scales.

we are looking for a Senior NLP Algorithm Developer to join us in research and development of our next-generation automatic sports video content engine. If you are passionate about state-of-the-art NLP and Generative AI research - we are looking for you!
What youll do:
The teams main focus: NLP & Generative AI.
Research and develop end-to-end real-time solutions for sports content generation automation using state of the art deep learning algorithms for text, speech, vision, audio and data analysis.
Full R&D cycle, from problem definition and research to implementation and productization with a high level of autonomy.
In addition, part of the role & responsibilities will be:
Design, develop and implement state-of-the-art Generative models, prompt engineering and classical ML/NLP techniques to create high-quality solutions for demanding product-oriented NLP tasks.
Engage in collaboration with product, account, and customer success teams to establish success criteria and convert them into measurable objectives and quantitative measures.
Conduct training and evaluation of models within practical production scenarios.