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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 passionate and bright individuals who wish to take part in design, development and all technical-related aspects of INFINIDAT’s core components. The selected candidate will be part of a professional team that develops in C++/Python over Linux high-performance, multi-threaded, clustered, mission-critical, server-side products.

Responsibilities:

* Design and development of C++/Python code according to product requirements.
* Addition of new features, as well as maintenance, refactoring and improvement of existing products and code bases.
* Accountability for code standards, quality and performance.

We are looking for an experienced Senior Engineer to join our Billing Platform team.

Our Billing Platform is the backbone of every product we launch and every key deal we close. You will play a critical role in shaping the infrastructure that drives our billing processes, directly impacting our revenue and growth.

As we continue to scale and introduce new products, were looking for passionate engineers who are eager to take ownership of complex systems and make a significant impact.

If you're excited about designing and building robust, scalable systems, wed love for you to join us in shaping the future of our Billing infrastructure.

What you'll be doing:
Design, build, and maintain scalable and resilient systems that handle high-volume data, while collaborating with teammates and individual contributors.
Take ownership of projects, from concept to production, ensuring the highest quality.
Work on data-driven initiatives that improve system performance, efficiency, and billing accuracy.
Work with Product Managers to define features and scope, guiding technical decisions and trade-offs, to align with company goals.
Collaborate in an environment involving various stakeholders within the company.
Help foster best practices and mentor team members to maintain a high standard of engineering excellence.

We are looking for ATE Software Engineer.
As a Software Automatic Test Equipment Engineer, you will play a vital role in developing and maintaining advanced Automatic Test Equipment (ATE) software for electronic cards and calibration systems used in our cutting-edge Active Electronically Scanned Array (AESA) radar technology.
You will collaborate closely with a multidisciplinary team to ensure the functionality, accuracy, and performance of our ATE systems
Key Responsibilities:
ATE Software Development: Design, develop, test, and maintain software for Automatic Test Equipment used in electronic card testing and AESA radar calibration.
Integration: Collaborate with hardware engineers to integrate ATE software with testing equipment and devices, ensuring seamless operation.
Debugging and Troubleshooting: Identify and resolve software issues, system failures, and compatibility problems to ensure optimal ATE performance.
Documentation: Maintain accurate and up-to-date documentation.
Quality Assurance: Implement quality control measures to ensure that ATE software meets industry standards and complies with project requirements.
Team Collaboration: Work closely with cross-functional teams, including hardware engineers, software developers, and project managers, to meet project milestones and objectives.
Continuous Improvement: Stay up-to-date with industry trends and emerging technologies, and contribute to the ongoing improvement of ATE software and testing methodologies..

We invite you to join our application delivery controller (ADC) QA automation department.

Our next-generation application delivery controller (ADC) and the only network load balancer that guarantees application SLA.

It provides advanced, end-to-end local and global load balancing capabilities for all Web, cloud and mobile-based applications.

What will you do?
Planning, Design, Development, Reporting, Analysis of manual/automation tests.
End to end testing solutions for Alteon product
Design and implement automation for the product.

Were seeking a Data Tech Lead to drive technical excellence in data engineering and analytics. As the go-to expert, youll set the technical direction, optimize data pipelines, and tackle programming challengesclosing knowledge gaps, solving data-related questions, and streamlining operations. Youll also design scalable architectures, manage ETL workflows, and enhance data processing efficiency.
Key Responsibilities:
Oversee the technical aspects of data projects by making architectural and design decisions.
Streamline existing operations and implement improvements with the teams collaboration.
Guiding team members in technical matters, and supervising system modifications.
Conducting Code reviews for data analysts, BI Analysts and data engineers.
Bridge technical knowledge gaps within the data team, answering critical product-related questions.

We are looking for ATE Software Engineer.
As a Software Automatic Test Equipment Engineer, you will play a vital role in developing and maintaining advanced Automatic Test Equipment (ATE) software for electronic cards and calibration systems used in our cutting-edge Active Electronically Scanned Array (AESA) radar technology.
You will collaborate closely with a multidisciplinary team to ensure the functionality, accuracy, and performance of our ATE systems
Key Responsibilities:
ATE Software Development: Design, develop, test, and maintain software for Automatic Test Equipment used in electronic card testing and AESA radar calibration.
Integration: Collaborate with hardware engineers to integrate ATE software with testing equipment and devices, ensuring seamless operation.
Debugging and Troubleshooting: Identify and resolve software issues, system failures, and compatibility problems to ensure optimal ATE performance.
Documentation: Maintain accurate and up-to-date documentation.
Quality Assurance: Implement quality control measures to ensure that ATE software meets industry standards and complies with project requirements.
Team Collaboration: Work closely with cross-functional teams, including hardware engineers, software developers, and project managers, to meet project milestones and objectives.
Continuous Improvement: Stay up-to-date with industry trends and emerging technologies, and contribute to the ongoing improvement of ATE software and testing methodologies.

Were looking for a Senior Fullstack Engineer to join our CTO Office and play a key role in transforming innovative seed projects into production-grade products. This is a hands-on role that blends software engineering, DevOps, and architectural design, offering a unique opportunity to work on cutting-edge technologies and shape the future of our product landscape.

What will you do?
Lead the transition of seed POC projects into scalable, production-ready systems.
Design and implement robust backend and frontend architectures and components.
Utilize, Research and develop AI based solutions and integrations
Build and maintain CI/CD pipelines to ensure smooth and reliable deployments.
Deploy and manage services in Kubernetes environments using Helm.
Collaborate with infrastructure teams to support and maintain production systems.
Ensure high availability, observability, and performance of deployed services.

The company is growing rapidly, and we seek a DevOps engineer to join our technology department. In this role, you will be responsible for the operations and infrastructure of our SaaS solution and for the tools that make our R&D productive and efficient.
The Role:
Design and implement end-to-end DevOps delivery solutions
Collaborate with the R&D to optimize development, deployment, reliability, failover scenarios, and scale
Work on CI/CD, automations and DevSecOps domains
Lead POC and tech selection processes from idea to implementation.
Manage centralized observability and governance solutions
Develop and integrate infrastructure tools in support of our production
Automate the provisioning and configuration
As a core member of the team, you will participate in 'On-Call' duties on production systems, working in non-conventional hours including weekends and holidays (from time to time).

We are looking for a Product Analyst.
As a Product Analyst, you will lead data-driven decisions in the product team and company wide. Among your responsibilities, you will define and track product KPIs as well as initiate ad hoc research projects to drive platform adoption among our 300 customers. Youll work closely with the entire product team on every new feature, throughout the product life cycle, from planning to post launch usage tracking and improvements cycle. You will play a key role in the roadmap-building process, and will lead initiatives that will optimize the value that users are getting from platform and services.
Responsibilities:
The product analyst is the data-driven ambassador for the product team and the entire organization. As a product analyst, your core responsibilities will be:
Establishing product KPIs and company-wide KPIs to ensure the expected impact and targets are met
Exploring and analyzing large data sets and extract valuable insights to support growth and product improvements
Providing supporting data for prioritizing new features and initiatives
Creating dashboards and alerts for internal teams to enable easy analysis for the entire company

We are looking for a Applied AI Team Lead.
As the Team Lead for our Applied AI team, you will join our Tel Aviv office. You will guide the day‑to‑day execution of innovative projects to help mayors and other city leaders understand their communities and improve the lives of millions worldwide. Reporting to the VP of Data Science, you will combine hands‑on technical leadership with people management skills, overseeing a team with rapidly-growing portfolio of mission-critical projects and collaborating with product, engineering, and other internal partners. Youll be responsible for leading every aspect of the development process, so that our cutting‑edge AI and data science capabilities get to production quickly, reliably, and with maximum impact.
Day to Day:
Lead a 5‑person team of data scientists and engineers, coordinating stand‑ups, code reviews, and 1‑on‑1s while also contributing hands-on to high-priority projects.
Oversee the development and implementation of a diverse project portfolio, focused on both customer-facing product features and internal business use cases.
Scope, execute, and deliver end‑to‑end AI and data science capabilities to meet the requirements of product owners and internal stakeholders.
Play a leading role in the development of AI-focused infrastructure and the implementation of best practices for engineering and data science.
Track project risks, dependencies, and costs, and make proactive adjustments to keep initiatives on time and aligned with requirements.
Stay current with the latest developments in AI technologies and tools, and identify opportunities to integrate the latest innovations into our products and workflows.
Recruit, onboard, and develop team members to help scale our Applied AI program and promote a culture of technical excellence.
Work an in‑person or hybrid schedule, with at least three days per week in our Tel Aviv office.

We are looking for a Senior Data Scientist (Applied AI).
As a Senior Data Scientist on our Applied AI team, you will join our Tel Aviv office and play a hands-on, end-to-end role in delivering innovative capabilities that help mayors and other city leaders understand their communities and improve the lives of millions worldwide. Reporting to the Applied AI Team Lead, you will collaborate with product, engineering, and fellow data-science teammates to turn cutting-edge research into production-ready solutionsquickly, reliably, and with maximum real-world impact. Youll work with a rich mix of data sources (including social media, news stories, survey results, resident feedback, and more) to create models and AI-powered features that scale.
Day to Day:
Design, build, and deploy AI and machine-learning solutions, from data exploration through modeling, evaluation, and integration into customer-facing products and internal tools.
Optimize models for quality and scalability through feature engineering, hyper-parameter tuning, runtime profiling, and thoughtful architectural choices.
Build and maintain data pipelines using tools such as Airflow, Spark, and Databricks to ensure clean, reliable inputs for downstream models.
Collaborate closely with product managers, engineers, and designers to refine problem statements, iterate rapidly, and ship impactful features on schedule.
Champion technical excellence by conducting code reviews, sharing best practices, and mentoring teammates across data science and engineering.
Stay current with the latest developments in AI-including LLMs, RAG systems, and AI agents-and proactively propose ways to incorporate new techniques into our workflows.
Work an in-person or hybrid schedule, spending at least three days per week in our Tel Aviv office.

We are looking for an experienced Data Scientist who can leverage and develop innovative machine learning, NLP, and generative AI technologies, for solving problems within a wide scope.

As a part of our ML Foundations team, you will work on highly complicated challenges, from research to production, and help shape our algorithms and AI capabilities. You will work with Data scientists, Software engineers, Product Managers, and business owners on growth opportunities and new ideas.

You should have a strong background and experience in the machine learning pipeline through business understanding, research, data exploration, feature engineering, model building, performance evaluation, testing, production-level code and deployment, model monitoring, and maintenance.

What am I going to do?
Take leading roles in innovative and cross-domains projects using cutting-edge technologies
Research and development of foundation data science capabilities
Work closely with various departments in the company to provide advanced Data Science solutions end to end.
Write and own tools and frameworks that will integrate in production models.
Build frameworks to train, evaluate, deploy and monitor machine learning models using reliable and scalable infrastructure.
Create modular, reusable code libraries and tools to streamline model development, evaluation, and testing processes.
Independent research and innovation in new content and technological domains.
Lead and advise other team members.
Continuously produce new initiatives and improvement ideas.