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Security delivers a cloud-native SaaS platform that integrates Vaultless Secrets Management with Certificate Lifecycle Management, Next Gen Privileged Access Management (Secure Remote Access), and Encryption Key Management to manage the lifecycle of all machine identities and secrets across all environents.
Trusted by Fortune 100 companies and industry leaders, redefining identity security for the modern enterprise, delivering the worlds first unified Secrets & Machine Identity platform designed to prevent the #1 cause of breaches - compromised identities and secrets. Backed by the worlds leading cybersecurity investors and global financial institutions including JVP, Team8, NGP Capital, and Deutsche Bank.
We're looking for a talented Senior Backend Engineer to take a significant role in the development of a highly robust, multi-cloud, multi-region SaaS platform.
As a Senior Backend Engineer, you will be part of a small and high-performing team, developing a SaaS platform that provides technical solutions for DevOps.
This role includes working in a multi-cloud environment (AWS, GCP, Azure), developing microservices architecture with Golang. You will work in a dynamic and agile environment with the most cutting edge technologies.
In addition, as a senior developer you will help with design, architecture and code review, and mentor other team members.

we are seeking an Embedded software engineer We are looking for an experienced Embedded software engineer to join our engineering team and contribute to the development of complex, Real-Time Embedded systems across multiple interfaces and platforms. Full-time + On Site position based in Central (Jerusalem) Israel. Key Responsibilities:
* Develop Embedded software for Real-Time operating systems ( Linux, VxWorks, FreeRTOS)
* Work with hardware-software interfaces including BSPs and serial communication
* Perform full software lifecycle activities: design, coding ( C / C ++), testing, and integration
* Collaborate with hardware, firmware, and algorithm teams for seamless system integration

a cloud-native SaaS platform that integrates Vaultless Secrets Management with Certificate Lifecycle Management, Next Gen Privileged Access Management (Secure Remote Access), and Encryption Key Management to manage the lifecycle of all machine identities and secrets across all environments.

Trusted by Fortune 100 companies and industry leaders, redefining identity security for the modern enterprise, delivering the worlds first unified Secrets & Machine Identity platform designed to prevent the #1 cause of breaches - compromised identities and secrets. Backed by the worlds leading cybersecurity investors and global financial institutions including JVP, Team8, NGP Capital, and Deutsche Bank.

We're looking for a talented Backend Engineer to take a significant role in the development of a highly robust, multi-cloud, multi-region SaaS platform.

As a Backend Engineer , you will be part of a small and high-performing team, developing a SaaS platform that provides technical solutions for DevOps.

This role includes working in a multi-cloud environment (AWS, GCP, Azure), developing microservice architecture with Golang. You will work in a dynamic and agile environment with the most cutting edge technologies.

we are seeking an experienced and visionary Architect to join our growing R&D team in Tel Aviv, reporting to the CTO. You will play a central role in shaping the architecture of our engine, which powers a wide range of AI-driven applications across the company. As an Architect , youll serve as a critical bridge between technology, product, and business, ensuring our solutions are scalable, adaptable, and aligned with real-world needs.

This is an exceptionally exciting time to join a real AI company - when the very foundations of NLP are being redefined in front of our eyes. youll be at the forefront of that transformation, helping to shape the next generation of AI systems that are not only cutting-edge but also deeply impactful.

As an Architect , you will:

Drive the architectural vision for our next-generation medical understanding platform
Collaborate with engineers, linguists, physicians, and ML researchers to model the medical domain at scale
Design high-performance, scalable systems to handle diverse medical narratives across all specialties
Influence company-wide technical decisions while staying hands-on with complex engineering challenges
Support and mentor engineering teams through architecture reviews, prototyping, and implementation

we are looking for a Medical Data Analyst to join our growing Implementation group, reporting to our Squad Lead. The ideal candidate will be responsible for ensuring the successful implementation of new clients and analyzing both historical and real-time client data.

As a Medical Data Analyst, you will:

Analyze and understand clients business objectives, coding patterns and methodologies in order to configure Clinical language understanding engine for optimal performance.
Support clients throughout the technical integration and engine onboarding processes, documenting solutions and proactively improving client-specific outcomes through hands-on work with our codebase to adjust configurations, scripts, and rules.
Actively troubleshoot, investigate, and resolve coding discrepancies, distinguishing issues arising from client-specific configurations versus core engine functionality.
Provide solutions for alerts and incoming escalated tickets from our customers.
Collaborate across multidisciplinary teams - including engineers, linguists, medical doctors, product managers, customer success managers and coders -to ensure smooth project execution and effective communication.

We are looking for a NLP Research Engineer to join our growing Research team. In this role, you will work on core business challenges, tackling tough and diverse algorithmic problems using the latest NLP research.

As the NLP Research Engineer, you will:

Research complex problems related to state-of-the-art NLP, GNNs, and Tabular data.
Implement algorithms and train models to solve problems at the core of product.
Integrate your work into existing product while demonstrating its value.

we are looking for a Backend-DevOps Engineer to join our growing team. This role combines backend development expertise with deep DevOps knowledge to ensure the scalability, reliability, and efficiency of our systems. As a key member of our team, you will work closely with engineers, data scientists, and other stakeholders to design, build, and maintain robust infrastructure and services.

we are looking for a Medical Data Analyst to join our growing Implementation team, reporting to our Squad Lead. The ideal candidate will be responsible for ensuring the successful implementation of new clients and analyzing both historical and real-time client data.

As a Medical Data Analyst, you will:

Customize engine to address clients clinical and business needs.
Support clients throughout the technical integration process, including identifying bugs and recommending fixes and improvements, hands-on work within our codebase to adjust configurations, scripts, and rules.
Provide solutions for alerts and incoming escalated tickets from our customers.
Lead collaboration across multidisciplinary teams - including engineers, linguists, medical doctors, product managers, and codersto ensure smooth project execution and effective communication.

We are looking for a Software Engineer to join our team, where you will:

Lead the end-to-end lifecycle of feature development, from initial design to implementation.
Work within our multidisciplinary R&D teams (Software Engineers, Linguists, and Medical Doctors) and with the Product Management team.
Design, develop, and deliver high-quality, scalable, reliable, and extensible products.

We are looking for an experienced and passionate Team Leader to lead our Deep Learning team. In this role, you will be responsible for leading the developing and delivering high-impact ML projects. You will work closely with stakeholders to identify and prioritize business problems, and develop and execute data science solutions.
Responsibilities
Lead and manage a team of ML researchers
Work with stakeholders to identify and prioritize business problems
Develop and execute DL solutions
Ensure that ML projects are delivered on time and within budget
Work closely with the Principal Researchers to plan the research roadmap
Collaborate with product and engineering teams to integrate ML solutions into our platform
Stay up-to-date with the latest advancements in ML research and development.

We are seeking a Senior Data Scientist who thrives on exploring complex data sets, extracting meaningful insights, and building high-quality, real-time data products to enhance our cutting-edge technologies. At our company, we value talent and collaboration, fostering an environment where employees support one another to grow both individually and as a team. Our work is rewarding, challenging, and fun all while exceeding our clients expectations.
Responsibilities:
Deliver end-to-end machine learning models and impactful research.
Play a critical role in model development, prototyping, offline validation, production implementation, and online testing of our suite of ML products
Analyze vast and complex data sets to identify meaningful patterns and engineer features for ML models.
Design, build, tune, and interpret ML models by applying the scientific method and leveraging cutting-edge techniques.
Perform data manipulation, cleaning, validation, and cross-domain research to enrich insights and solutions.
Generate creative research ideas and actionable insights to address challenging business and technical problems.
Collaborate with product managers and engineering teams to align on problem definitions, trends, and solution opportunities.

We are looking for a Senior Backend Engineer to lead backend engineering and APIs connectivity to our end to end user experience / look and feel of the product. Our technology stack is based on AWS managed services and serverless architecture. Therefore, an extensive understanding of AWS / Cloud technologies is necessary.

Role and responsibilities


Backend engineering lead as part of frontend, backend, and data analytics team
End to end ownership of a SaaS backend/API
Build backend infrastructure and connectivity
Effectively use tools and ingenuity to identify and fix defects before they become a problem

we're on a mission to redefine vehicle safety and reliability on a global scale. Founded in 2016, we have pioneered the world's first fully automated suite of vehicle inspection systems. At the heart of this innovation lies our advanced AI-driven technology, representing the pinnacle of Machine Learning, GenAI, and computer vision within the automotive sector. With close to $400M in funding and strategic partnerships with industry giants such as Amazon, General Motors, Volvo, and CarMax, UVeye stands at the forefront of automotive technological advancement. Our growing global team of over 200 employees is committed to creating a workplace that celebrates diversity and encourages teamwork. Our drive for innovation and pursuit of excellence are deeply Embedded in our vibrant company culture, ensuring that each individual's efforts are recognized and valued as we unite to build a safer automotive world.
We seek a Director of data to join us and lead our data group. As our Director of data, you will be a key member of our R&D leadership team. You will be responsible for developing and executing a data strategy that aligns with our business goals, overseeing data management, analytics, and validation, and ensuring data integrity at every stage of product development and production.
A day in the life and how youll make an impact: Define and execute a strategic data roadmap aligned with business objectives, fostering a data -driven culture and leading a high-performing team of data engineers, scientists, and analysts.
* Establish robust data validation frameworks, ensuring product integrity and accuracy through all stages, from data acquisition to end-user delivery.
* Build and optimize scalable data infrastructure and pipelines to support our data needs and ensure data security, compliance, and accessibility.
* Collaborate with product and engineering teams to create and launch data -driven products, ensuring they are built on reliable data and designed to meet customer needs.
* Guide the team in generating actionable insights to drive business decisions and product innovation in areas such as personalization, marketing, and customer success.
* Implement data governance policies and maintain compliance with industry regulations and best practices.

We are looking for a senior DL researcher who is passionate about exploring complex data sets, drawing meaningful insights, and building high-quality real-time data products that complement our robust arsenal of industry-leading technologies.
As a senior DL researcher at our company, you will be creating high-impact Machine Learning projects. In close coordination with stakeholders, you will play a major role in driving the data science roadmap and execution by providing the best solution to a game changer business problem.
Responsibilities
Deliver end-to-end ML products - including research, model development, prototyping, offline validation, implement in production, and online testing
Be a key player in the DS group - providing insights, best practices, novel techniques and research, and technical know-how to other data scientists
Develop ML solutions using advanced DL techniques to a diverse set of problems.
Analyze huge amounts of complex data to identify meaningful patterns and build useful features for machine learning models
Apply the scientific method to design, create, tune, and interpret machine learning models
Perform data manipulation, validation, and cross-domain research
Come up with new and creative research ideas and insights
Collaborate with our product and engineering teams to solve problems and identify trends and opportunities.

We are looking for a Senior Python Developer with deep expertise in Python programming, event-driven architectures and large-scale data processing to lead one of the company's most important areas.

Role and responsibilities
You will lead design and optimize cloud-native applications, build high-performance data pipelines, and develop scalable solutions on AWS. Work with machine learning (ML) workflows, including LLM (Large Language Models) integration.