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We are looking for an experienced Backend Team Lead to join our Backend Engineering group and lead a strong team of engineers.
In this role, you will combine hands-on technical leadership with people management, while tackling complex engineering challenges on a daily basis. The team is responsible for designing, building, and continuously improving scalable backend systems in a cloud-native environment.
You will work with all major cloud providers (AWS, GCP, Azure) and lead development using cutting-edge technologies such as Kubernetes, Docker, Neo4j, ElasticSearch, Redis, TimescaleDB, RabbitMQ, and more. This is a key leadership role with direct impact on architecture, delivery, and team growth.
Responsibilities:
Responsible for the entire lifecycle of the projects, from initial design and development to deployment, monitoring and maintenance in the production environment
Contributing to technological and architectural decisions
Conducting design and code reviews
Analyzing and improving efficiency, scalability, and stability of various backend system components
Interfacing with other teams (e.g. Frontend, DevOps) to deliver best-in-class features

As a Senior Frontend leaning Full-Stack Engineer, you will be a key technical contributor to our R&D team, working on user facing platforms and helping shape frontend architecture and development standards.

You will be joining a collaborative team working on a strategic product area that is approaching its first major delivery. This is just the beginning. New capabilities, improvements, and iterations will continue to evolve, and your technical decisions will have a lasting impact on the product.

If you are passionate about building high quality user interfaces, end to end ownership, and making real product impact, this role is for you.

In this role you will:
Take end to end ownership of frontend features, from design to production

Build and maintain complex, forms heavy user flows using React and Next.js

Collaborate closely with backend engineers working with Node.js

Read and integrate with existing C# systems as part of ongoing evolution

Drive code quality, structure, and documentation

Work hands on in the codebase and actively participate in technical decisions

We are looking for an experienced Frontend Engineer to join our exceptional Frontend Engineering team. The team tackles complex engineering challenges daily, both solving new problems and continuously enhancing existing solutions. We work with cutting-edge technologies, including React, WebGL, and TypeScript, to build innovative and high-performance user interfaces.
Responsibilities:
We work with React, WebGL, Typescript and more technologies
We do pure Frontend (no Fullstack Devs here) and we are also in charge of defining the API schema.
We take Product very seriously and advocate for the user experience ourselves, and the esthetic integrity of design and architecture

We are looking for an experienced DevOps Engineer to join our team.
Our DevOps team collaborates closely with every engineering unit within delivering CI/CD and scalable infrastructure for all features. We leverage valued OSS solutions and employ a modern tech stack, including Kubernetes, Terraform, Argo, Helm, VictoriaMetrics, Neo4j, ElasticSearch, Redis, TimescaleDB, RabbitMQ, and more.
Responsibilities:
Take part, end to end on all features within infrastructure, CI\CD pipelines and product features
Be part of our products architectural and infrastructure design, examine and implement new cloud technologies, and open-source tools to improve the delivery and availability of the product.
Plan and push to scale in DevEx and infrastructure efforts
Be responsible for stable and scalable execution of product feature's infrastructure
Monitor and maintain Production infrastructure that makes magic happen.

We are looking for a hands-on AI Engineer to help build our core intelligence engine and infrastructure. In this role, you will work on exploring and building autonomous solutions that execute security workflows end-to-end, moving capabilities from research concepts to scalable production features.
What You Will Build:
● Internal AI Infrastructure: Contribute to a shared internal AI platform for models, data, training, and observability.
● Autonomous Capabilities: Build solutions that automate complex security operations and investigative workflows.
● Active Defense Mechanisms: Help productize runtime guardrails into customer-facing protective controls and monitoring systems.
Responsiblities:
● Develop and implement the engineering backend for AI-driven security features.
● Build and maintain the internal mechanisms that allow for safe and scalable AI feature deployment.
● Collaborate with AI Researchers to translate findings into production-grade autonomous workflows.
● Implement runtime guardrails and AI-focused data security capabilities.

We are looking for a visionary AI Lead to build our internal AI platform and architect adaptive intelligence systems that serve as a dedicated security architect for each of our customers. You will lead a team of AI Researchers and Engineers to move beyond simple integrations and build true autonomous security solutions.
Responsibilities:
● Lead the AI Research Group, managing AI Researchers, Engineers, and DevOps.
● Own the intelligence engine end-to-end, delivering next-generation analytics and contextual visualization features.
● Drive the strategic "build vs. partner vs. buy" decisions for cloud prevention and AI controls.
● Collaborate with the Threat Team to develop AI-driven threat detections against emerging attack vectors and novel AI threats.

At ISPM (previously known as Spera), we are revolutionizing the field of identity security, providing comprehensive solutions to address the challenges faced by modern organizations. Our platform provides security leaders with end-to-end contextual visibility of their identity landscape, reducing risks, enhancing operational efficiency, and ensuring compliance.

With an exceptional team dedicated to pushing boundaries and achieving remarkable results, we are seeking a talented engineer to join us in shaping the future of identity security.

This role requires working from the office four times a week.

What youll be doing
As a Staff Software Engineer at ISPM, you will play a critical role in building our platform. Your expertise and contributions will have a direct impact on the success and effectiveness of our product. Specifically, your responsibilities will include:

Lead, design, architect and build high-quality scalable software by introducing best practices around software engineering architecture and processes
Raise the bar on engineering excellence by improving standard methodologies, producing best-in-class code, documentation, testing, and monitoring
Collaborate with product and R&D engineers to translate product requirements into technical solutions.
Identifying and resolving technical issues and performance bottlenecks.
Staying up to date with the latest industry trends and technologies to continuously improve our products.
Be a mentor for colleagues and help promote knowledge-sharing

We are seeking a dedicated Process Engineer to join our team in Jerusalem. In this full-time, on-site position, you will play a key role in ensuring operational excellence within our manufacturing processes. Your daily responsibilities will include:
Monitoring and enhancing process quality control.
Driving continuous process improvements and reducing variability.
Implementing cost-reduction strategies and capacity enhancements to support manufacturing goals.
Improving line yield through data analysis and optimization.
Leading the transfer of new technologies or products from R&D to manufacturing (New Product Introduction - NPI).
This role demands a proactive approach to problem-solving in a dynamic, fast-paced environment, where you will collaborate closely with cross-functional teams to meet production obligations and advance our cutting-edge laser technologies.

we are looking for a AI Architect.
Responsibilities
1. AI Architecture & Technical Leadership
Guide AI architectural direction across platform, focusing on system design, model lifecycle, and integration of AI components into product workflows.
Act as a senior technical reviewer and thought partner for complex or cross-team AI design decisions.
Provide technical oversight on areas such as exploring new models/technologies/opportunities for the company
Surface architectural risks, tradeoffs, and long-term implications, including cost, security and compliance aspects and clearly advise the VP of AI when certain technical directions should not be pursued.
This role influences judgment, clarity, and experience, not through blocking authority.
2. Hands-on Applied Innovation (Core Pillar | ~50%)
Spend at least 50% of time hands-on, building:
End-to-end AI prototypes
Technical demos and proofs of concept
Exploratory implementations of new AI capabilities
Drive applied innovation that:
De-risks new technologies
Demonstrates feasibility and impact
Informs product direction and business opportunities
Build fast, concrete examples that teams can learn from and extend.
Transition successful prototypes to team ownership for further development and scaling.
This role is expected to lead AI innovation by doing, while working closely with product, medical and engineering
3. Best Practices & Technical Enablement
Define and promote best practices for applied AI development, including:
Rapid prototyping and vibe coding.
Agent design, orchestration, and evaluation patterns
Experimentation, benchmarking, and validation workflows
Help teams align on shared technical patterns, tools, and standards.
Identify opportunities to consolidate duplicated efforts and improve cross-team coherence.
Lead technical deep dives, architecture discussions, and design reviews.
4. AI Compliance & Regulatory Enablement (Technical Scope)
Ensure AI development practices align with applicable AI regulations for a software product handling sensitive medical data.
Define and guide AI-specific compliance practices, including data usage, transparency, evaluation, and documentation expectations.
Support and contribute to AI-related compliance and regulatory documentation, in close collaboration with Legal, Security, and Medical Research teams.
Serve as a technical point of reference for AI compliance questions.

We're looking for a Technical Account Manager to join our growing team and serve as trusted advisors to our customers. As a TAM, youll play a critical role in driving customer success by combining your technical expertise with your passion for customer engagement. Youll guide customers through onboarding, help them maximize value from our platform, and ensure their long-term satisfaction and retention.
While the primary focus of this role is post-sales, you will also support pre-sales activities, partnering with the sales team on technical deep-dives, product demonstrations, and proof-of-value engagements to help win new business.
Responsibilities
Build strong relationships with customers and become their primary point of contact for technical matters
Own the post-sales technical relationship, ensuring successful onboarding, implementation, and ongoing usage
Provide technical guidance, conduct training sessions, and lead workshops to help customers get the most out of our platform
Deeply understand customer architecture and workflows, offering proactive recommendations and best practices
Act as the voice of the customer internally, working closely with Product, Engineering, and Support teams
Monitor account health, identify risks, and proactively drive resolutions
Partner with the sales team on technical evaluations, product demonstrations, and proof-of-value engagements
Serve as a technical resource during prospect meetings, addressing architecture and security questions
Help craft tailored proposals and technical solutions that align with prospect requirements.

We are a well-funded cybersecurity startup backed by top-tier VCs. Our mission is to solve some of the most challenging problems in the security of software- how to make AI-first organizations release applications fast and not be bothered by security, leveraging AI agents to create secure code and fix vulnerabilities.
We are in a fast-growing, new space and looking to lead this new era of application security where AI write code.
The Role
We are looking for an experienced Development Team Lead to lead a team of talented engineers building core components of our platform.
This is a hands-on leadership role combining technical ownership, people management, and architectural decision-making. You will lead a team of engineers, drive execution of complex projects, and help scale both the technology and the team.
Responsibilities
Lead and mentor a team of software engineers, fostering technical excellence and ownership
Drive the design, architecture, and development of scalable cloud-native services
Collaborate with product, security, and platform teams to deliver high-impact features
Maintain high engineering standards including code quality, testing, and system reliability
Take an active role in hands-on development and technical problem solving
Support team growth through mentoring, feedback, and hiring.

We are seeking a QA Engineer with a strong passion for data quality, performance, and scale to join our Data Platform team.
This role is ideal for a QA professional who enjoys working close to complex data systems, understands large-scale pipelines, and wants to play a key role in shaping the automation and quality strategy of a data engineering organization.
You will act as the primary quality owner for high-volume, mission-critical data platforms, working closely with data engineers, backend developers, and platform teams.
What Youll Do:
Data Quality & Validation:
Design and execute data validation strategies for large-scale batch and streaming pipelines
Ensure data correctness, completeness, freshness, and consistency across the data lake
Define and automate checks for schema changes, data drift, and data quality regressions
Performance & Scalability Testing:
Plan and execute performance and scalability tests for data pipelines and processing jobs
Identify bottlenecks across ingestion, transformation, and querying layers
Partner with engineers to validate performance improvements and prevent regressions
Automation & Infrastructure:
Develop and maintain the data teams QA automation infrastructure
Build reusable testing frameworks and tools tailored for large datasets and pipelines
Integrate automated tests into CI/CD pipelines and production monitoring workflows
Collaboration & Ownership:
Work closely with data engineers, backend developers, and platform engineers throughout the development lifecycle
Act as the sole QA owner within a cross-functional team, driving quality without becoming a bottleneck
Participate in design discussions to ensure testability and observability are built in from the start
Quality Mindset & Communication:
Champion a quality-first culture within the team
Clearly communicate risks, findings, and quality metrics to technical stakeholders
Balance thoroughness with pragmatism in fast-moving, high-scale environments.

Required AI Platform Engineer
Position Overview:
We're assembling a small-scale team of innovators committed to a transformative mission: advancing generative AI from conceptual breakthrough to tangible product reality. As an AI Platfrom Engineer, you will be a critical architect of the technological infrastructure that brings our most ambitious GenAI concepts to life, transforming our digital intelligence solutions through cutting-edge AI innovation.
Build advanced AI platform that operates both as a cloud SaaS and as a fully self-contained on-prem / edge deployment, designed for privacy-sensitive and security-critical environments, at the intersection of backend development, AI integration, DevOps, and open-source systems engineering.
You will be part of the core team responsible for adapting, hardening, and operating our SaaS architecture in on-prem and single-node environments (on Prem servers, laptops). Working closely with architecture and product management and play a key role in making complex AI systems deployable, reliable, and operable outside the cloud.
Key Responsibilities
Platform & Application Engineering:
Adapt cloud-native AI services to on-prem and edge deployments (single node, no managed cloud services).
Build and maintain full-stack components: Backend APIs (Python / Node.js), Lightweight UIs or internal tools when needed, Ensure services are stateless, configurable, and portable across environments.
AI & Open-Source Integration:
Integrate and operate open-source LLMs for:
RAG pipelines
Agentic workflows
Tool calling and orchestration
Work with: Embedding models, Vector databases (local and embedded modes), Analytical engines (e.g., embedded SQL / columnar systems), Optimize inference for CPU / single-GPU environments (quantization, batching, caching).
DevOps & Runtime Engineering (Strong Focus):
Package services into portable Docker containers usable in:
On-prem servers (Kubernetes)
laptop / edge devices
Implement in-process scaling strategies (worker pools, task queues, batching).
Build simple, reliable deployment and startup flows (no heavy orchestration).
Manage configuration, secrets, logging, and observability in constrained environments.
Systems & Reliability:
Design for: Offline operation, Limited resources, Predictable performance
Implement graceful degradation between: SaaS mode, On-prem server mode, Single-node / laptop device mode, Debug complex interactions across AI models, storage, and runtime systems.

We are looking for B.A. / B.Sc. / M.A. / M.Sc. students with at least 1.5 years (a minimum of 3 semesters) remaining in their studies, who are available to work 3.5-4 days per week. Please note that this position is not focused on Machine Learning engineering. Decision scientists Interns are highly motivated team players with strong analytical skills. Our Decision Scientists specialize in creating, driving, and executing initiatives to mitigate fraud on our companys platform and improve the experience for our companys hundreds of millions of customers while guaranteeing compliance with regulations. Our Decision Scientists specialize in analysing user behaviours, creating and leveraging advanced proprietary risk management mechanisms. as an intern, you will overcome challenges presented by big data, evolving fraud techniques, new payment technologies and human behaviour.
Job Description:
Your day to day
In your role as a Decision Scientist Intern, you will:
Master our companys data warehouse to help gain insights into consumer risk
Perform data-driven behaviour research
Transform results into business cases
Develop and own data-driven risk decision strategies to support our companys global financial business goals
Measure performance against KPIs and goals
Close collaboration with partners and stakeholders in Risk and in our company to execute our companys long-term strategy
What Do You Need To Bring-
Education: student status required Bachelor / Master
Student status - 2 years remaining before graduation, preferably in one of the following: engineering, computer science, math, physics, statistics, economy, accounting, business, cognitive science, medicine
Availability for 50% position or more
Some experience with SQL and Excel
Some experience with programming / R / Python / BI tools - advantage
Excellent spoken and written English
Quick-thinker, fast learner, problem solver
Team worker, responsible and trustworthy
People person - ability to communicate and motivate
We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don't hesitate to apply.

Were looking for a highly skilled AI Engineer to join our Forensic Research Group and help shape the next generation of intelligent forensic platforms.
Youll work at the intersection of Generative AI, agentic systems, and real-world data, building advanced capabilities for both internal tools and production systems that transform how complex data is analyzed and understood.
Using state-of-the-art models and emerging AI paradigms, youll design systems that move beyond traditional pipelines into autonomous, adaptive workflows.
Youll help define the future of agentic decoding - where AI doesnt just assist, but actively reason, explore, and uncover critical evidence, impacting millions of cases worldwide.
If youre excited about building impactful AI systems and solving complex, messy problems, this role is for you.
What Youll Do:
Design and build AI-driven and agentic solutions to parse, analyze, and interpret data from forensic extractions (including mobile devices)
Develop GenAI-powered capabilities for understanding, structuring, and reasoning over unstructured data
Combine LLMs, multi-agent systems, and heuristic approaches to improve data identification, classification, and insight generation
Build autonomous and semi-autonomous pipelines that transform manual and brittle workflows into scalable, intelligent systems
Work with real-world, noisy datasets to uncover patterns, anomalies, and meaningful structures
Collaborate closely with forensic researchers and engineers to translate domain expertise into AI-native solutions
Influence system architecture, tooling, and the evolution of internal AI platforms and agent frameworks
Evaluate, fine-tune, and integrate state-of-the-art models (LLMs, multimodal models, etc.) for complex real-world problems.