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We're building the financial infrastructure that powers global innovation. With our cutting-edge suite of Embedded payments, cards, and lending solutions, we enable millions of businesses and consumers to transact seamlessly and securely. With 900+ employees worldwide and an R&D center of over 160 employees in Jerusalem - were reshaping how financial technology is developed and delivered..
The Role:
As AI capabilities accelerate across the bank, we need an engineer to design and enforce safe AI usage-protecting customer data, preserving model integrity, and meeting our regulatory obligations. You'll be the architect of guardrails, tooling, and policies that make AI both secure and useful for product and internal teams. This isn't about slowing things down; it's about building the trust layer that lets innovation move fast without breaking things.
Who You Are:
You're a security engineer who's excited about the AI wave-someone who sees LLMs and Agentic AI as fascinating puzzles to secure, not just threats to mitigate. You've spent 5+ years in Security Engineering, AppSec, or Cloud Security, and at least 1-2 of those years have been spent getting your hands dirty with LLMs, AI Agents and MCPs. You understand how agentic frameworks (LangGraph, CrewAI, AutoGen, and similar) orchestrate multi-step tool use-and where trust boundaries break down. You've assessed or secured AI-powered coding agents (Claude Code, GitHub Copilot, Cursor) and understand the unique risks of AI with filesystem, terminal, and API access in Developer environments. You're equally comfortable dissecting a prompt injection attack as you are writing a Terraform module or shipping a Python library. You know your way around AWS and/or Azure, modern app stacks ( Python /TypeScript, REST/gRPC, containers/Kubernetes), and can translate security requirements into Developer -friendly tooling-not just PDF policies that gather dust. You communicate clearly in English and Hebrew, thrive in regulated environments, and understand that security in financial services means mapping controls to frameworks like FFIEC, SOC 2, and PCI DSS-and actually having the evidence to prove it.
What Youll Actually Be Doing:
* Design enterprise AI guardrails across Azure and AWS (e.g., Azure AI Studio/Azure OpenAI, Amazon Bedrock/SageMaker): content filtering, PII redaction, prompt/response validation, and policy enforcement services.
* Assess and define secure usage patterns and data governance controls for agentic frameworks and coding agents: permission scoping, tool-call authorization, leastprivileged retrieval, session isolation, and MCP server governance.
* Threat model AI systems (apps, agents, MCPs, RAG, fine-tuning pipelines) using frameworks like STRIDE and the OWASP Top 10 for LLM Apps; define misuse scenarios (prompt injection/context poisoning/jailbreaks/ data exfiltration) and build mitigations.
* Build monitoring and telemetry: privacy-preserving prompt/response logging, sensitive- data detection, safety/eval dashboards, drift/abuse signals, and incident hooks into our SIEM.
* Integrate AI security into the SDLC: reusable libraries, pre-commit checks, CI/CD gates, policy-as-code, and secure-by-default reference architectures for product teams.
* Evaluate thirdparty AI vendors and internal apps: security reviews, data residency and retention requirements, SSO/SCIM integrations, DPA/TPRM inputs, and continuous control testing.
* Partner across Security, data, Privacy, and Engineering to map AI controls to FFIEC, SOC 2, and PCI DSS; document control evidence for audits.
* Lead/participate in AI redteaming: automated jailbreak/promptinjection tests, safety benchmarks, purpleteam exercises, and response playbooks for AI incidents.
* Enable the org with concise guidelines, examples, and training on safe AI development and usage.
 
Why Youll Love Working Here:
* Flexible hybrid.

We empower enterprises and service providers with cutting-edge Storage platforms that redefine performance, reliability, and cyber resilience at scale. We are seeking a Scale TEST team leader to lead our newly Scale Testing team, responsible for validating the iBox under maximum real-world scale. combining features, protocols, capacity, and traffic simultaneously to expose issues that only emerge at the limits of the system. This role sits at the intersection of functional testing, performance testing, and customer-representative system design, ensuring the iBox holds up not just to isolated stress, but to the full complexity of production-scale deployments. The role is expected to be approximately 75% hands-on, directly involved in TEST design, execution, and investigation alongside the team.
Responsibilities:

* Form and Lead a team of scale TEST engineers, hiring and guiding them through complex, large-scale TEST design, execution, and root-cause analysis
* Design and execute tests that combine multiple features, protocols, and workloads concurrently at maximum scale (pools, volumes, snapshots, replication, etc.)
* Build and maintain customer-representative testbeds that mirror real-world production configurations at scale
* Drive high-volume, sustained traffic scenarios alongside feature and capacity scaling to surface interaction effects and edge-case failures
* Investigate and analyze complex, multi-variable system issues that arise only under combined scale conditions
* Participate in technical reviews - requirements, design, TEST design, and field reports - bringing a scale/ system -limits perspective
* Set up and maintain long-running, large-footprint hardware and software TEST environments
* Collaborate closely with Performance, system TEST, Interoperability, R&D, Product Management, and Support to ensure scale considerations are built into product design early
* Define and evolve the team's scale testing methodology, tooling, and metrics

At Infinidat, a Lenovo company, we empower enterprises and service providers with cutting-edge storage platforms that redefine performance, reliability, and cyber resilience at scale. If you are a passionate and talented developer and have the capability to be among the best, we invite you to join our journey of success as a Software Team Leader in the NAS Group.

Responsibilities:

* Lead a team of 2-8 developers
* C++ coding over Linux in a multi-threaded, clustered and performance-oriented server-side environment.
* Technical-related aspects of Infinidat’s core component.
* Filesystem IO flow performance improvements.
* High level & detailed design of new features.
* Legacy code maintenance and refactoring.

As a Senior Frontend Engineer , you will play a key role in shaping the user experience of a product that truly changes lives. Youll work on a user-facing product used daily by people who are Deaf or hard of hearing, turning complex communication challenges into intuitive, accessible, and high-performance experiences.

This role is ideal for an experienced frontend engineer with strong product understanding, who cares deeply about users, performance, and design. This role is not just about coding, but about building frontend features that have real impact for users.

On a day to day, you will:

Design, build, and maintain rich, accessible frontend experiences across web and mobile products.
Own features end-to-end: from understanding user needs and product requirements to development, testing, and production.
Collaborate closely with Product, Design, and Backend teams to define flows, UX, and technical solutions.
Translate high-level product requirements into scalable, maintainable frontend architecture.
Solve complex UI and performance challenges, including real-time and async interactions.
Continuously improve code quality, frontend standards, and developer experience.
Take part in code reviews, technical discussions, and architectural decisions.
Bring product-oriented thinking and propose improvements that have real user impact.

As a Senior Software Engineer , you will play a pivotal role in shaping experiences that truly make communication accessible for people who are Deaf or hard of hearing. You will work across the stack - designing, building, and maintaining features that turn complex communication challenges into intuitive, high-performance solutions. This role is ideal for an experienced engineer with strong product sense, who cares deeply about users, accessibility, performance, and scalable design.

On a day-to-day, you will:

Own features and systems end-to-end: from understanding the user problem, through architecture, development, and operating it in production.
Design, build, and operate high-scale backend infrastructure serving users with real-time, low-latency requirements.
Collaborate directly with product and engineering to shape what we build, not just how we build it.
Dig into complex production issues - performance, reliability, data processing - and solve them under real constraints.
Continuously improve system architecture, observability, and development practices.
Leverage AI as part of the daily engineering work to accelerate development.

DRS RADA Technologies , a leading defense company developing and manufacturing life-saving radar systems, is looking for an MRO Operator to join our site in Beit She’an. Job Description:
* Perform functional testing of electronic boards using both manual and automated testing methods, utilizing advanced test equipment such as a multimeter, spectrum analyzer, and signal generator.
* Work with computerized systems to analyze test results, troubleshoot failures, and identify faults in accordance with strict procedures and quality standards.
* Analyze and repair electronic boards with complex failures.
* Identify faults and work with electronic schematics and circuits down to the component level.
* Full-time position: Sunday–Thursday, 08:00–17:00, with overtime and Friday work as required.

we are looking for a MLOps Engineer.
As an MLOps Engineer, you will work at the intersection of backend engineering and machine learning, building the engineering systems that turn Deep Learning and Computer Vision research into reliable, scalable production features used by hundreds of thousands of families.
What you'll be doing -
Build Production AI Systems - Design and implement backend services and end-to-end AI solutions that integrate Deep Learning models, Computer Vision algorithms, and GenAI into real features.
Power Experimentation and Validation - Contribute to the offline experimentation and validation layer, including POC environments that let the Algo team move from research to production confidently.
Develop Data Pipelines - Build and maintain scalable data pipelines and big-data solutions that feed AI capabilities reliably and with an eye on cost and scale.
Own What You Ship - Take features end-to-end within your squad, from planning and design through implementation, deployment, and monitoring in production.
Cross-functional Collaboration - Work closely with the Algorithms and Data teams to tackle complex, real-world problems, helping translate research into shippable, maintainable systems.
Backend Guild Engagement - Actively contribute to a backend guild that drives Software Engineering and System Design best practices, guidelines, and standards across the R&D team.

we are looking for a MLOps Team Lead.
As an MLOps Team Leader , you will own our AI infrastructure and backend engineering efforts, leading a team at the intersection of systems design and machine learning to build the engineering systems that turn Deep Learning and Computer Vision research into reliable, scalable production features.
What Youll Be Doing:
Lead MLOps Engineering: Own the roadmap and execution for a team of backend and AI infrastructure/MLOps engineers, setting technical direction, removing blockers, and holding the bar on delivery quality.
Build Production AI Systems: Design and implement production-grade, end-to-end AI solutions, including agentic workflows, that integrate Deep Learning models and Computer Vision algorithms into real features. Own the offline experimentation and validation layer, including POC environments that let the Algo team move from research to production confidently.
Architect Data Platforms: Drive the design and implementation of scalable data platforms and pipelines that power AI capabilities reliably and with an eye on cost and scale.
Cross-functional Collaboration: Work closely with the Algorithms and Data teams to tackle complex, real-world problems, translating research into shippable, maintainable systems.
Elevate Engineering Standards: Champion Software Engineering and System Design best practices across the group, introducing the right methodologies, tooling, and culture of craft.
Who You Are:

we are looking for a Engineering Team Lead.
Responsibilities:
Lead, mentor, and grow a cross-functional team of backend, frontend, and research engineers.
Act as a hands-on technical leader: design critical systems, write production code when needed, and set a high engineering bar.
Own backend systems end-to-end, from architecture and design through implementation and production delivery.
Drive technical direction and architectural decisions for large-scale cybersecurity platforms.
Lead the delivery of complex LLM- and agent-based solutions to production, ensuring they meet enterprise standards for reliability, scalability, security, and observability.
Partner closely with Product, Research, and Client Services to translate complex technical challenges into clear, high-impact product capabilities.
Ensure backend systems are built with a strong emphasis on security, correctness, and long-term maintainability.
Review code, guide design decisions, and promote best practices across the team.
Foster a culture of ownership, collaboration, and continuous improvement.

We are looking for a high-ambition engineer to join our team in Israel and own the
intelligence layer of our platform: the agents that analyze customer codebases, reason about
vulnerabilities, and produce remediations autonomously.
First and foremost, this is a senior software engineering role. You will design and build production services, write code across the stack, and own what you ship end to end - the AI agents are software, and you build the systems they run on. This is not a prompt-tweaking role: you will design multi-step agentic systems end to end - context engineering, tool design, orchestration, evaluation, and production monitoring - on a "zero legacy" stack (Python, Temporal, K8s, and frontier LLMs). We value a low-ego mindset and a passion for solving deep technical challenges in a fast-paced, collaborative environment.

We're looking for an experienced AI Engineer to join our core team and design, build, and implement the autonomous AI agents that power revolutionary approach to eliminating container vulnerabilities at the source.
Responsibilities:
Explore and prototype cutting-edge AI techniques to tackle our hardest challenges
Architect and develop autonomous AI agents that intelligently eliminate vulnerabilities during container image generation
Collaborate with product and engineering teams to bring AI-driven features from concept to production
Monitor and evaluate AI model performance, implementing feedback loops to continuously improve accuracy and reliability
Develop and maintain machine learning pipelines that process security data and generate actionable insights
Ensure AI systems are robust, reliable, and performant at enterprise scale