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About the Role A growing technology team developing advanced autonomous platforms is looking for a C ++ software engineer to work on robotics and distributed systems.
In this role, you will develop and integrate software for robotic platforms using modern frameworks and Linux -based environments.

we are a leading technology and IT solutions group, delivering advanced services in cloud, data, and enterprise systems. We partner with organizations to drive digital transformation and help them operate more efficiently in modern cloud environments. We believe in investing in people with potential-providing the tools, training, and support needed to build successful careers. We are looking for motivated and curious individuals to join our FinOps team-one of the fastest-growing and most in-demand domains in tech today. This is a unique entry-level opportunity
* No prior professional experience required
* Full training provided In this role, you will gain hands-on experience in managing and optimizing cloud costs across platforms such as AWS and Azure, combining technology with financial analysis. What Youll Do
* Analyze cloud usage and cost data
* Identify cost optimization opportunities
* Support cloud budgeting and forecasting
* Work with AWS / Azure cost management tools
* Collaborate with technical and business teams

We are seeking for an MANUAL QA Tester to join its QA team.
What Youll Do:
* Execute comprehensive manual testing for complex software projects.
* Track, manage, and prioritize defects throughout the development lifecycle until successful deployment to production.
* Work closely with internal customers and R&D teams to define requirements and ensure quality standards.
* Take full responsibility for project timelines and delivery goals. Location: Bnei Brak.

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 GenAI and LLMs 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 AI/ML or data -intensive systems. 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.
* Implement data minimization controls for GenAI/RAG workloads: context filtering, leastprivileged retrieval, document-level ACL enforcement, vector store hardening, and secure token/secret handling.
* Threat model AI systems (apps, agents, RAG, fine-tuning pipelines) using frameworks like STRIDE and the OWASP Top 10 for LLM Apps; define misuse scenarios (prompt injection/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 work model: three days a week at our Jerusalem office
* Monthly wellness reimbursement - from therapy to gel manicure, it's up to you
* Full Keren Hishtalmut, private health and dental insurance
* Volunteer days, donation matching, Yoga and Pilates
* A supportive, collaborative culture that puts our people first
Next Step:
Hit Apply!

We are looking for a Platform Engineering Manager to join the Data Security team. In this role, you will lead the Platform Engineering team, whose mission is to empower engineering teams by delivering reliable, scalable environments, services, and tools that enable efficient development, seamless delivery, and high productivity.

Key Responsibilities:

Lead, mentor, and grow the Platform Engineering team .

Own the CI/CD ecosystem (e.g., GitLab CI, Jenkins, etc) while driving adoption of best practices in build and CI/CD pipelines, testing, supportability, and security for faster and safer deployments.

Manage testing infrastructure and environment provisioning.

Drive automation to reduce manual intervention and operational overhead.

Improve developer productivity by streamlining local dev environments, sandbox infra, and test automation. Release faster and more reliable product.

Ensure ease of supportability, maintainability, and observability of services.

Conduct regular infrastructure reviews, audits, and cost optimizations.

In this role, you will work on our flag front end application (React) and our SDKs we provide to our partners. You will be required to develop products on an enterprise scale. Our challenges demand a strong passion for architecture, outstanding coding skills, and a continuous learning mindset - this is a completely dynamic & interesting opportunity for Frontend / Full stack engineers who like to control both sides of the web!

Key Responsibilities:

Contribute to the development of our core loan application system, ensuring high-quality products and services.
Solve complex architectural problems, utilizing your deep understanding of system architecture.
Collaborate with other team members, sharing your expertise and facilitating a culture of learning.
Maintain our system architecture, ensuring smooth operation and quality user experience.
Be an advocate for clean, efficient, and maintainable code.

seeking a Lead Software Engineer to join our Purchase Squad. This team is at the heart of our company's operations, responsible for developing and maintaining our core loan application system. This role will be involved in complex system architecture, providing unique challenges that demand a strong passion for architecture, outstanding coding skills, and a continuous learning mindset.

Key Responsibilities:

Contribute to the development of our core loan application system, ensuring high-quality products and services.

Solve complex architectural problems, utilizing your deep understanding of system architecture.

Collaborate with other team members, sharing your expertise and facilitating a culture of learning.

Maintain our system architecture, ensuring smooth operation and quality user experience.

Be an advocate for clean, efficient, and maintainable code.

Provide mentorship to junior team members, nurturing their growth and development.

seeking a Lead Software Engineer to join our The Merchant-Ops squad responsible for various domains and products that manage and support our merchants and their ongoing relationship with us. The team develops mobile applications, web platforms, and backend services, and is composed of skilled backend, frontend, and data engineers.

As the Merchant-Ops Lead Software Engineer, you will be responsible for the team's technical leadership, domain design, and day-to-day execution. You will collaborate closely with product managers and business stakeholders to define priorities and deliver impactful solutions that align with key business goals. We are looking for someone who can drive end-to-end ownership, balance business needs with strong engineering practices, and help shape the direction of our products.

Key Responsibilities:

Contribute to the development of our Merchant Ops products, empowering merchants and partners with seamless tools, insights, and a reward system.
Solve complex architectural problems, utilizing your deep understanding of system architecture.
Collaborate with other team members, sharing your expertise and facilitating a culture of learning.
Maintain our system architecture, ensuring smooth operation and quality user experience.
Be an advocate for clean, efficient, and maintainable code.
Provide mentorship to junior team members, nurturing their growth and development.

As part of our Customers Company Data Engineering team, you will not only build scalable data features and pipelines but also directly enable portfolio growth by supporting new business capabilities in the Credit Card and Servicing business units.

Responsibilities

Design and build data solutions that support Credit Card and Servicing business goals.
Develop advanced data pipelines to support the infrastructure, architecture and the product growth initiatives.
Create ETL/ELT processes and SQL queries to bring data to the data warehouse and other data sources.
Own and evolve data lake pipelines, maintenance, schema management, and improvements.
Collaborate with stakeholders across Product, Backend Engineering, and Data Science to align technical work with business outcomes.
Implement new tools and modern development approaches that improve both scalability and business agility.
Ensure adherence to coding best practices and development of reusable code.
Constantly monitor the data platform and make recommendations to enhance architecture, performance, and cost efficiency.

Design, build, and enhance our credit card systems to deliver high-quality products and services.
Solve challenging architectural and technical problems.
Collaborate with and learn from a team of talented engineers.
Ensure system stability and reliability.
Write clean, maintainable, and efficient code.
Lead projects through the full development lifecycle - from requirements gathering to production deployment.

Your role is central to driving quality, scalability, and accountability in processes such as compliance audits, credit bureau furnishing, and legal automation. This is an exciting opportunity to work at the intersection of technology, compliance, and data. You will lead Backend Engineers and Data Engineers to build robust systems that power regulatory functions. You will have the chance to shape the technical strategy and build the team (hiring and mentoring), while remaining hands-on with modern technologies.

Key Responsibilities:

Manage and mentor a dynamic team of 3 engineers (Backend & Data), fostering collaboration and professional growth. You will also be responsible for hiring and onboarding new talent to the team.

Architect scalable, high-performance systems that support compliance-critical operations. You will define the technical roadmap and drive modernization efforts.

Design and oversee both Backend infrastructure and Data Pipelines to ensure accurate, auditable, and scalable compliance processes.

Act as the single point of contact for legal and compliance stakeholders, handling and facilitating all technical aspects of audit requests (SOC, state, and other regulatory audits).

Collaborate with cross-functional teams, including other engineering teams, product managers, legal, and business stakeholders, to align technology and compliance goals.

Remain active in the codebase, ensuring high code quality and leading by example.

This role is designed for individuals who are not only technically proficient but also deeply passionate about pushing the boundaries of AI and machine learning through innovative engineering and collaborative research.

Key Responsibilities
Profile and optimize the training process to ensure efficiency and effectiveness, including optimizing multimodal data pipelines and data storage methods.
Develop high-performance TPU/GPU/CPU kernels and integrate advanced techniques into our training framework to maximize hardware efficiency.
Utilize knowledge of hardware features to make aggressive optimizations and advise on hardware/software co-designs.
Collaboratively develop model architectures with researchers that facilitate efficient training and inference.
Design, maintain, and evolve a high-quality, shared codebase that emphasizes correctness, readability, extensibility, testing, and long-term maintainability, while balancing performance requirements.

As a Large Scale Video Understanding Research Scientist, you will play a key role in improving video generation quality and efficiency by improving video and audio understanding pipelines used for both training data construction and model evaluation.. This role demands hands-on work with large-scale Video Language Models (VLLMs), including fine-tuning, post-training, and control, alongside implementing classic computer vision and signal processing algorithms and applying strong research skills. Your expertise in post-training and controlling large scale foundational models, understanding statistics, implementing complex systems and eliminating bugs will be crucial, as our video training sets consist of petabytes of data processed across hundreds to thousands of virtual machines.

What you will be doing
Fine-tune and control VLLMs for video and audio understanding.
Design algorithms for balancing, filtering, and curating training and evaluation datasets, informed by model behavior and failure modes.
Implement classic and modern algorithms for processing, clustering, evaluation and filtering of large scale datasets.
Work within high-performance, scalable distributed systems capable of handling petabytes of data, with attention to throughput, correctness, and reproducibility..
Collaborate with other researchers and product stakeholders to iteratively improve training sets and evaluation protocols through tight feedback loops driven by model performance.

As an ML Software Engineer with a focus on low-level and CUDA-based optimizations, you will play a key role in shaping the design, performance, and scalability of machine learning inference systems. Youll work on deeply technical challenges at the intersection of GPU acceleration, systems architecture, and ML deployment.
Your expertise in CUDA, C/C++, and performance tuning will be crucial in enhancing runtime efficiency across heterogeneous computing environments. Youll collaborate with designers, researchers, and backend engineers to build production-grade ML pipelines that are optimized for latency, throughput, and memory use, contributing directly to the infrastructure powering next-generation AI products.This role is ideal for an engineer with strong systems-level thinking, deep familiarity with GPU internals, and a passion for pushing the boundaries of performance and efficiency in machine learning infrastructure.

Responsibilities
Design and implement highly optimized GPU-accelerated ML inference systems using CUDA and low-level parallelism techniques
Optimize memory, compute, and data flow to meet real-time or high-throughput constraints
Improve the performance, reliability, and observability of our inference backend across diverse compute targets (CPU/GPU)
Collaborate with cross-functional teams (including researchers, developers, and designers) to deliver efficient and scalable inference solutions
Contribute to ComfyUI and internal infrastructure to improve the usability and performance of model execution flows
Investigate performance bottlenecks at all levels of the stack-from Python to kernel-level execution
Navigate and enhance a large, complex, production-grade codebase
Drive innovation in low-level system design to support future ML workloads