דרושים » הנדסה » Frontend Engineer

This role is a great fit for someone who thrives in an environment that values speed without compromising on quality, and who enjoys taking full ownership of their work end to end. If you are curious by nature, demonstrate strong entrepreneurial thinking, are not afraid to ask questions, and know how to navigate ambiguity while moving quickly, you will do well .

we are looking for a Senior Back-End Engineer.
As a Senior Software Engineer, youll design, develop, and deploy robust software systems across our platform. Youll have ownership of end-to-end projects, the autonomy to lead from idea to implementation, and the opportunity to work across product lines - from scalable APIs and secure infrastructure to machine learning.
The role also brings unique engineering challenges shaped by regulatory and compliance requirements - pushing your creativity and technical capabilities.
What Youll Actually Be Doing:
Design, build, test, and deploy backend systems for high-scale financial applications
Lead architecture reviews and drive decisions across technologies and platforms
Write well-tested code and review peers work for quality and clarity
Collaborate with Product, DevOps, and Security teams to deliver seamless experiences
Own and improve development lifecycles including CI/CD, observability, and cloud automation
Debug production issues and lead efforts to ensure system reliability and uptime
Contribute to internal documentation and onboarding processes
Participate in a Tier 2/3 on-call rotation to support business-critical systems

you will be part of rem department. road experience management (rem) is an end-to-end mapping and localization engine. its being used for full autonomy capabilities and services, generating validation processes and methodologies for such a technology giant is challenging, sufficient. since we are dealing with a complex system based on Machine Learning and image processing, the analysis and validation processes require deep thinking as well as advanced technical and analytic abilities. our analysts are responsible for running the analysis process and for providing deep analysis reports based on effective analysis of Big Data. what will your job look like:
lead and hands-on drive the teams transition toward extensive and effective use of automation, including implementing automated solutions, improving existing workflows, and actively supporting the team in adopting automation as part of daily development and testing activities
manage and oversee both automated and manual validation processes, ensuring thorough data review and quality control.
prepare clear, structured reports summarizing validation results, issues, and recommendations for technical and management stakeholders.
plan, track, and coordinate validation projects, maintaining schedules, identifying risks, and communicating progress across departments.
collaborate with algorithm developers, engineers, and other stakeholders to troubleshoot issues and propose improvements.
participate in the planning and design of advanced validation processes.

We're in search of an exceptional Senior Backend Engineer, someone with a wealth of hands-on software engineering expertise. As part of our core product team, you'll be at the forefront of crafting a groundbreaking solution that leverages cutting-edge technology to combat fraud. Our ultimate goal is to equip our clients with resilient safeguards against chargebacks, empowering them to safeguard their revenue and optimize their profitability. Join us on this thrilling mission to redefine the battle against fraud.

Your Arena

Take a senior role in the team of talented engineers, share your experience and demonstrate your expertise building our market-leading product
Design and implement the infrastructure of the system including the ingestion, algorithms, performance optimizations, and interactive applications
Build a highly scalable data platform for diversified and complex data flows
Have end-to-end ownership: Design, build, ship, measure, and maintain our backend services. You build it - you own it
Work closely with our fantastic Product team that created an industry-leading SaaS Product-Led-Growth offering
Join us in building a professional, fun company and engineering culture with the highest standard.

Were looking for a skilled and curious Back End Developer to join our growing engineering team.
In this role, you'll architect and build reliable, scalable services that power mission-critical fintech products - from payments and lending to compliance and blockchain.
You'll collaborate closely with product, DevOps, and front-end engineers to design robust APIs, implement clean data flows, and solve complex performance challenges.
Your work will shape how money moves securely across our infrastructure and directly support millions of users.
This is a great opportunity to drive meaningful impact while learning and growing within a highly supportive and technical team.
What Youll Actually Be Doing:
Design, develop, and deliver scalable software modules and components
Build backend systems using .NET, DotNet 6.0, SQL Server, RabbitMQ, Docker and AWS
Plan, triage, and prioritize work across multiple priorities
Share your knowledge with teammates and help mentor and guide partners

as an information systems business applications & integration Developer, you'll be an integral part of the esc and integration team and you will design, develop, implement, support, and act as a key professional authority within the team. we are looking for a strong, hands-on Developer to design and build integrations, using the iconduct platform as our primary integration tool. the role will also include ongoing development and enhancements across additional application systems, while serving as a central professional lead within the team, driving technical excellence and contributing to the units overall delivery and growth. what your job will look like?
a hands-on Developer creating ongoing integrations, scripts, and automation with the growing mobileye ecosystem.
build an integration architecture for all information systems and execute them.
collaborate with teams across the organization to gather requirements to improve their day-to-day work.
participation in discussions and meetings regarding best practices for building integrations.
maintaining the integrity and smooth functioning of the company's integration architecture.
leverage ai-based tools and technologies to enhance automation, optimize integrations, and improve system efficiency.

We are At Cross River, 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 - we’re reshaping how financial technology is developed and delivered. .

The Role:
As the Security Engineering Operations Assistant, you'll be the organizational backbone for the VP, Security Engineering—ensuring requests move forward, deadlines stay visible, and nothing gets lost in the shuffle. This isn't about being an admin; it's about being the force multiplier that lets security leadership focus on strategy and technical priorities while you keep the machine running smoothly. If you're the person who naturally keeps lists, follows up before being asked, and gets satisfaction from bringing order to chaos—this role was made for you.

Who You Are:
You're the person everyone relies on to remember the thing that was supposed to happen last Tuesday. You've got 2–5 years of experience in technical coordination, support roles, or security/IT/engineering operations environments, and you know how to work alongside technical teams without needing your hand held. You're exceptionally organized—not in a "my desk is clean" way, but in a "nothing falls through the cracks" way. You communicate clearly in writing and conversation, you're comfortable working closely with senior leadership, and you handle sensitive information with discretion. You're not intimidated by technical discussions—even if you're not the one configuring the firewall, you can follow along, capture the key decisions, and know what questions to ask to make sure everyone's aligned on next steps. You're proactive, dependable, and genuinely curious about how things work.

What You’ll Actually Be Doing:
Direct Support to Security Engineering Leadership
* Assist the VP, Security Engineering with tracking requests, action items, and follow-ups arising from meetings, emails, and discussions
* Maintain organized lists of open items, next steps, and pending decisions
* Perform routine follow-ups with internal teams and external vendors on behalf of Security Engineering
* Help ensure deadlines and commitments are visible and monitored
* Surface overdue items or risks that may require attention Coordination & Task Tracking
* Support coordination of security engineering activities across Security, IT, Engineering, GRC, and external partners
* Track progress of assigned tasks and initiatives using established tools and processes
* Assist in scheduling, preparation, and follow-up for security-related meetings
* Help organize priorities and timelines across multiple parallel efforts Technical Awareness & Documentation
* Maintain familiarity with core security engineering domains, including: Identity and Access Management, Endpoint and device management, Cloud security basics (AWS and Azure), Security tooling and operational workflows
* Capture key outcomes, decisions, and action items from technical discussions
* Maintain documentation, trackers, and status updates
* Ask clarifying questions to ensure expectations and next steps are understood Communication & Information Flow
* Support intake and coordination of inbound requests to the Security Engineering team
* Prepare clear summaries and status updates as needed
* Help ensure relevant information is shared with appropriate stakeholders
* Support prioritization discussions by maintaining visibility into current workload and commitments


Why You’ll 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 insuranc

We are looking for a backend engineer who can design, build, and operate highly reliable Node.js services on AWS that enable generative‑AI capabilities across our products and internal workflows.
You will create scalable APIs, data pipelines, and serverless architectures that integrate large‑language‑model (LLM) services such as Amazon Bedrock, OpenAI, and open‑source models, enabling teams to safely and efficiently leverage generative AI.
What Youll Actually Be Doing
Design and implement REST/GraphQL APIs in Node.js/TypeScript to serve generative‑AI features such as chat, summarization, and content generation.
Build and maintain AWS‑native architectures using Lambda, API Gateway, ECS/Fargate, DynamoDB, S3, and Step Functions.
Integrate and orchestrate LLM services (Amazon Bedrock, OpenAI, self‑hosted models) and vector databases (Amazon Aurora pgvector, Pinecone, Chroma) to power Retrieval‑Augmented Generation (RAG) pipelines.
Create secure, observable, and cost‑efficient infrastructure as code (CDK/Terraform) and automate CI/CD with GitHub Actions or AWS CodePipeline.
Implement monitoring, tracing, and logging (CloudWatch, X‑Ray, OpenTelemetry) to track latency, cost, and output quality of AI endpoints.
Collaborate with ML engineers, product managers, and front‑end teams in agile sprints; participate in design reviews and knowledge‑sharing sessions.
Establish best practices for prompt engineering, model evaluation, and data governance to ensure responsible AI usage.

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.