דרושים » תוכנה » Experienced Backend Developer for Cloud Infrastructure

You will be part of the company's Autonomous Vehicle projects which is responsible for delivering high-quality AV (Autonomous Vehicles Systems) products. The Product Validation department is developing a modular CI process to support a complex variety of car models. We are precepting the complex system as a whole and are the first point of contact between the software to the hardware. As an infrastructure developer, you will be interacting with the team members as well as with most of our company's departments, to develop state-of-the-art software infrastructure based on a thorough understanding of product behavior.
What your job will look like?
Be a part of the automation and CI infrastructure team.
Develop a software infrastructure to allow the development of automated tests for the autonomous vehicle lab.
Work on a variety of aspects of the autonomous vehicle.
Work in a multi-tasked, dynamic, and diversified environment.
Have responsibility and impact over the autonomous vehicle.
Work closely with other development and validation team members.
Improve and maintain the CI/CD infrastructure.

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:
We’re seeking a Senior Application Security Engineer to be the go-to security expert for our software and blockchain engineering teams. In this high-impact role, you’ll embed security across the entire SDLC - from CI/CD pipelines to smart contracts—helping us build secure-by-design systems that power the future of fintech and digital assets. You’ll lead threat modeling, drive secure development practices, and automate guardrails that make security effortless for developers. As part of a collaborative security team, you’ll influence architecture, compliance, and innovation while protecting millions of users and billions in assets.

Who You Are:

* A proactive self-starter with deep expertise in application and cloud security
* Passionate about secure development and enabling engineers through thoughtful guardrails
* Clear and confident communicator who can influence across technical and non-technical teams
* Curious about emerging threats and excited by the challenges of blockchain security
* Committed to excellence, with a strong sense of ownership and a drive to build secure systems that scale

What You’ll Actually Be Doing:

* Integrate security tools (SAST, DAST, SCA, secret scanning) into CI/CD pipelines using GitHub Actions, Jenkins, and related DevOps tooling
* Lead threat modeling and secure architecture reviews for new features, APIs, and blockchain systems
* Conduct smart contract security reviews and advise on cryptographic and wallet security patterns
* Coordinate penetration tests, manage bug bounty reports, and track remediation through development teams
* Build reusable security components, libraries, and developer-friendly guardrails
* Deliver internal training, build a security champion network, and drive adoption of AppSec best practices
* Produce security metrics, documentation, and audit evidence to support FFIEC, PCI DSS, SOC 2 compliance
* Stay current on evolving threats in blockchain, DeFi, GenAI, and supply-chain ecosystems

Why You’ll Love Working Here:
You’ll help secure some of the most innovative products in fintech and crypto - while collaborating with brilliant, supportive teammates who care deeply about doing things the right way. Our security culture is proactive, collaborative, and continuously improving. You’ll have the autonomy to lead impactful initiatives, influence design from day one, and grow alongside a team that’s invested in modern tooling and professional development.

Next Step:
Hit Apply. Bring your AppSec mastery abilities. We’ll bring the challenge – and the snacks.

our company, an AI-first company, is revolutionizing how visual content is created. With a mission to bridge the gap between imagination and creation, we are dedicated to bringing cutting-edge technology to the creative and business spaces.
Our advanced AI photo and video generation models, including our open-source LTXV model, power our apps and platforms, including Facetune, Photoleap, Videoleap, and LTX Studio, allowing creators and brands to leverage the latest research breakthroughs, offering endless control over their creative potential. Our influencer marketing platform, Popular Pays, provides creators the ability to monetize their work and offers brands opportunities to scale their content through tailored creator partnerships.
What you will be doing
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 our companys 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 our company's 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 usability and performance of model execution flows
Investigate performance bottlenecks at all levels of the stackfrom 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.

Who 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 a Software Engineer, you’ll design, develop, and deploy robust software systems across our platform. You’ll 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.

Who You Are:

* A product-minded engineer who loves solving problems at scale
* Comfortable owning full systems - from architecture to deployment
* Passionate about writing clean, maintainable code with an eye on the end user
* A collaborative team player who mentors generously and learns continuously
* Curious, thoughtful, and excited by a fast-moving environment

What You’ll 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

Why You’ll Love Working Here:
You’ll be part of a supportive, down-to-earth team that values collaboration, curiosity, and initiative. We foster a culture where engineers have real ownership and learning never stops. You’ll work on high-scale systems using cutting-edge tech, solving meaningful problems that power the future of fintech. Whether it’s building secure infrastructure, launching new products, or optimizing performance, you’ll see your impact every day.

Next Step:
Hit apply. You bring the talent; we’ll bring the challenge (and the snacks!)

We are looking for a Mid-Level Back-End Engineer.
As a 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.

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.

Following the success of LTX-Video, our widely adopted open-source text-to-video model, we are expanding our efforts to develop cutting-edge video generation models and are hiring Research Scientists to join our LTX-Video Core team.
At our company, weve been at the forefront of innovation in text-to-image and text-to-video generation, with LTX-Video driving our flagship product, LTX Studio, and gaining significant traction in the research and open-source communities, including integrations with platforms like ComfyUI and Diffusers.
This role focuses on pioneering model architecture and pre-training algorithms, shaping the next generation of our foundational generative AI models.
What you will be doing
Pre-train and fine-tune video and image generative models to pursue state of the art results.
Publish papers and open-source models to benefit the research community and advance the field.
Design and implement machine learning models for text-to-video generation.
Collaborate with data engineers to curate and preprocess text and video data.
Optimize models for high performance, ensuring efficiency in training and inference phases.
Build new controls and capabilities into generative text-to-video models.
Stay updated with the latest developments in Generative AI, particularly in the field of image, video, and audio.
Work closely with product teams to integrate AI models into applications and services.
Conduct experiments and prototype new concepts to advance the capabilities of our AI tools.