We are seeking an experienced Data Platform Engineer to join our Storage Analytics team. You will design and build data solutions that provide critical insights into storage performance and usage across Apple's entire device ecosystem.
Description:
Working with large-scale telemetry data from millions of Apple devices worldwide, you'll support multiple CoreOS Storage teams, including Software Update, Backup/Restore/Migration, Storage Attribution, and other storage domains.
Responsibilities
Design, build, and maintain scalable data processing infrastructure to handle large-scale telemetry from Apple's global device fleet
Develop highly scalable data pipelines to ingest and process storage performance metrics, usage patterns, and system telemetry with actionable alerting and anomaly detection
Build and maintain robust data platforms and ETL frameworks that enable CoreOS Storage teams to access, process, and derive insights from storage telemetry data
Engineer automated data delivery systems and APIs that serve processed storage metrics to various engineering teams across different storage domains

You will join the R&D team building the next generation of our AI-powered metadata and context management. This system is the backbone that enables instant, actionable answers via our MCP and agentic use cases by translating complex business questions into secure, cost-aware data queries.

This is a high-impact, data-intensive role requiring production-grade backend development expertise, focused on quality, governance, and low-latency retrieval across complex data sources.

What youll do:
This role focuses on the end-to-end backend development and engineering quality for our core AI retrieval plane:
Design and Scale Context Retrieval: Develop and deploy services for our hybrid RAG/GraphRAG systems, combining lexical and vector search on data from various sources.
Implement Governance Gates: Build mission-critical backend logic to enforce data security policies, ensuring customer data and internal business data are filtered, masked, or isolated based on policy tags before context is ever generated.
Own the Quality Lifecycle: Design and implement automated evaluation to continuously measure the precision, recall, and faithfulness of the retrieved context against golden metrics.
Optimize Performance and Cost: Architect backend solutions for performance, including designing semantic caching strategies, memory, and context compression.
Data Modeling & APIs: Contribute to the graph model and APIs for retrieving metadata (glossary terms, lineage, schemas), enabling sophisticated context assembly for the agent.
Full Observability: Implement comprehensive tracing and monitoring for every agent component and tool call, ensuring high service reliability and quick root-cause analysis.

We are looking for a Senior Live Streaming Software Engineer.
As a Senior Software Engineer in our Edge AI group, you will design, develop, and maintain media encoding pipelines and live streaming workflows for both cloud and on-premises environments.
You will build infrastructure, tools, and real-time monitoring systems that ensure reliable live video delivery and operational visibility.
Your work will involve writing code that integrates with Azure resources and extensions, leveraging modern technology stacks and methodologies.
You will be expected to break down complex problems, create clear execution plans, and take full ownership of your code from development through production. Collaboration within a multi-disciplinary team will be key, requiring strong communication skills and alignment with values.
In addition, you will automate quality control and alerting mechanisms to rapidly detect and resolve streaming issues, ensuring a seamless experience for customers streaming camera feeds and viewing live video alongside AI-driven insights.

At Infinidat, we help enterprises and service providers empower their data-driven competitive advantage at scale. We are a leading provider of enterprise-class storage solutions. The company’s software-focused architecture delivers sub-millisecond latency, full availability, and scalability with a significantly lower total cost of ownership than competing storage technologies. We’re looking for passionate and bright individual who wish to take part in the design, development and all technical-related aspects of INFINIDAT’s S3 Protocol Development team. As a Software Engineer in the S3 Protocol Development team, you will design and implement core features of an S3-compatible object storage system. You will work on high-performance data paths, distributed systems logic, and protocol compliance to ensure seamless integration with high performance applications and data protection applications. Your work will directly.

Responsibilities:


* Design, develop, and optimize core S3 protocol components in a large-scale distributed storage system.
* Ensure compliance with AWS S3 API standards and extend functionality with advanced features.
* Collaborate with cross-functional teams on scalability and performance optimizations.
* Troubleshoot and resolve complex issues in development and test environments.
* Participate in code reviews, design discussions, and architectural decision-making.
* Continuously explore and evaluate new technologies and approaches to enhance protocol efficiency and system reliability.

At Infinidat, we help enterprises and service providers empower their data-driven competitive advantage at scale. We are a leading provider of enterprise-class storage solutions. The company’s software-focused architecture delivers sub-millisecond latency, full availability, and scalability with a significantly lower total cost of ownership than competing storage technologies. We are looking for a Python Developer to join our growing Hardware Infra team , part of the RnD group You will play a crucial role in architecting and developing the core of the infrastructure and tools that power our innovative solutions and ensure all our products are tested, shipped, and maintained with the highest quality standards. If you are innovative and passionate and looking for creative ways to improve product testing architecture and infrastructure - come and join us!

Responsibilities:

* Enhance and maintain appliance tools that monitor our products in a customer environment.
* Design and develop robust and scalable testing infrastructure and complex test scenarios ensuring high-performance and reliable products.
* Full ownership over the design and implementation of constantly improving web applications, API backends, and appliance tools.
* Collaborate with cross-functional teams including DevOps, Software Engineering, Hardware, and Validation to design and implement efficient, reusable, and reliable applications.
* Investigate and solve hard-to-find problems such as race conditions, hardware failures, delicate timing issues, and problems happening only at large scale.

Were looking for a Big Data Engineer who loves turning massive, messy datasets into scalable, reliable systems. Youll design and maintain data pipelines, ensure data quality, and collaborate with data scientists and product managers to bring new insights to life.

What youll do:
Design, build, and optimize scalable data pipelines and ETL processes
Own data products from design to production.
Ensure data accuracy, integrity, and performance across large datasets.
Collaborate with data scientists and engineers to deliver production-grade experiment.

We are looking for AI Engineer to join the Data Science team.
As an AI Engineer in the Data Science team, you will be working closely with applied researchers on model optimizations, GPU and hardware, language-model optimizations in the Video and Language domains and more. 
Your code will reach Azure resources and extensions, and you will use various technology stacks with the latest tools and methodologies.
You will be expected to break down problems, learn and develop, have an open mind, and have ownership all the way to production. Working in a multi-disciplinary team will require excellent communication skills and at the heart of it all, alignment with values and endless curiousness.

Were looking for an experienced Team Leader to join our growing R&D.
We use Java to develop our backend and use the latest AWS services for development and production environments.
You will:
Hire, mentor, and grow a full-stack agile engineering team, fostering a culture of technical excellence and innovation
Take a hands-on approach in developing the tools and infrastructure for our data processes
Work closely with product team to understand and define requirements
Manage your team tasks and ensure quality and timely execution using agile methodologies
Keep up-to-date on the latest techniques in management, development, and testing

We are looking for an experienced DevOps Engineer to be a part of our team!

We are located in Herzliya and work in a hybrid work mode.

Manage and optimize Kubernetes clusters on OCI to ensure high availability and scalability of applications.
Collaborate closely with R&D and Data teams to align infrastructure solutions with business objectives.
Develop and maintain infrastructure as code using tools like Terraform, АrgoCD.
Design, implement, and maintain CI/CD pipelines using Gitlab CI for various projects.
Fix and resolve issues in development, test, and production environments.
Take part in on-call support during off-hours.

Are you a passionate Applied Scientist ready to make a global impact? Join our elite AI and data science team.
If you are a talented Applied Scientist with strong technical skills, a passion for turning data and research into real-world impact, and the ambition to design, experiment, and ship innovative ML and AI solutions, we would love to talk to you!
In our team, you will:
Develop ML models to detect and disrupt cyberattacks.
Collaborate with security experts to incorporate domain knowledge into ML solutions.
Work with truly large-scale data to create and refine high-quality training datasets.
Deploy ML models into production, monitor their performance, and continuously improve them.
Stay up to date with the latest advancements in ML/AI and apply them to complex cybersecurity challenges.